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2026-01-13 08:47:33
2026-01-13 09:30:40
https://google.github.io/adk-docs/get-started/installation/#create-a-new-go-module
Advanced setup - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Advanced setup Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Advanced setup Table of contents Create & activate virtual environment Install ADK Install ADK and ADK DevTools Create a new Go module Install ADK Next steps Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Table of contents Create & activate virtual environment Install ADK Install ADK and ADK DevTools Create a new Go module Install ADK Next steps Build Agents Build your Agent Installing ADK ¶ Python TypeScript Go Java Create & activate virtual environment ¶ We recommend creating a virtual Python environment using venv : python -m venv .venv Now, you can activate the virtual environment using the appropriate command for your operating system and environment: # Mac / Linux source .venv/bin/activate # Windows CMD: .venv\Scripts\activate.bat # Windows PowerShell: .venv\Scripts\Activate.ps1 Install ADK ¶ pip install google-adk (Optional) Verify your installation: pip show google-adk Install ADK and ADK DevTools ¶ npm install @google/adk @google/adk-devtools Create a new Go module ¶ If you are starting a new project, you can create a new Go module: go mod init example.com/my-agent Install ADK ¶ To add the ADK to your project, run the following command: go get google.golang.org/adk This will add the ADK as a dependency to your go.mod file. (Optional) Verify your installation by checking your go.mod file for the google.golang.org/adk entry. You can either use maven or gradle to add the google-adk and google-adk-dev package. google-adk is the core Java ADK library. Java ADK also comes with a pluggable example SpringBoot server to run your agents seamlessly. This optional package is present as part of google-adk-dev . If you are using maven, add the following to your pom.xml : pom.xml <?xml version="1.0" encoding="UTF-8"?> <project xmlns= "http://maven.apache.org/POM/4.0.0" xmlns:xsi= "http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation= "http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd" > <modelVersion> 4.0.0 </modelVersion> <groupId> com.example.agent </groupId> <artifactId> adk-agents </artifactId> <version> 1.0-SNAPSHOT </version> <!-- Specify the version of Java you'll be using --> <properties> <maven.compiler.source> 17 </maven.compiler.source> <maven.compiler.target> 17 </maven.compiler.target> <project.build.sourceEncoding> UTF-8 </project.build.sourceEncoding> </properties> <dependencies> <!-- The ADK core dependency --> <dependency> <groupId> com.google.adk </groupId> <artifactId> google-adk </artifactId> <version> 0.5.0 </version> </dependency> <!-- The ADK dev web UI to debug your agent --> <dependency> <groupId> com.google.adk </groupId> <artifactId> google-adk-dev </artifactId> <version> 0.5.0 </version> </dependency> </dependencies> </project> Here's a complete pom.xml file for reference. If you are using gradle, add the dependency to your build.gradle: build.gradle dependencies { implementation 'com.google.adk:google-adk:0.5.0' implementation 'com.google.adk:google-adk-dev:0.5.0' } You should also configure Gradle to pass -parameters to javac . (Alternatively, use @Schema(name = "...") ). Next steps ¶ Try creating your first agent with the Quickstart Back to top Previous Coding with AI Next Agents Copyright Google 2025  |   Terms   |   Privacy   |   Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. With your consent, you're helping us to make our documentation better. Google Analytics GitHub Accept Manage settings
2026-01-13T09:29:38
https://www.linkedin.com/products/surepass-fssai-verification-api-technologies/?trk=products_seo_search
FSSAI Verification API - SurePass Technologies | LinkedIn Skip to main content LinkedIn Surepass Technologies in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in FSSAI Verification API - SurePass Technologies Identity Verification Software by Surepass Technologies See who's skilled in this Add as skill Contact us Report this product About In India, every food business must register with the Food Safety and Standards Authority of India (FSSAI) to ensure national food safety. The FSSAI certificate, issued to manufacturers, traders, and restaurants, is a key requirement under government regulations. Stay compliant, and get certified with FSSAI! Media Products media viewer No more previous content FSSAI API No more next content Similar products Microsoft Entra Verified ID Microsoft Entra Verified ID Identity Verification Software Sumsub Sumsub Identity Verification Software Signzy Signzy Identity Verification Software HyperVerge HyperVerge Identity Verification Software Shufti Shufti Identity Verification Software Persona's Unified Identity Platform Persona's Unified Identity Platform Identity Verification Software Sign in to see more Show more Show less Surepass Technologies products Aadhaar OCR APIs - Surepass Technologies Aadhaar OCR APIs - Surepass Technologies Identity Verification Software Bank Statement Parsing - SurePass Technologies Bank Statement Parsing - SurePass Technologies Identity Verification Software Crif Credit Report API - SurePass Technologies Crif Credit Report API - SurePass Technologies Identity Verification Software Digilocker Aadhar Verification - SurePass Technologies Digilocker Aadhar Verification - SurePass Technologies Identity Verification Software Experian Credit Report API - SurePass Technologies Experian Credit Report API - SurePass Technologies Identity Verification Software Singapore ACRA Data API - SurePass Technologies Singapore ACRA Data API - SurePass Technologies Identity Verification Software Superflow (By Surepass) Superflow (By Surepass) Identity Verification Software UAE Vehicle RC Verification API - SurePass Technologies UAE Vehicle RC Verification API - SurePass Technologies Identity Verification Software UK Companies House Data API UK Companies House Data API Identity Verification Software Vehicle RC with Financer Details - SurePass Technologies Vehicle RC with Financer Details - SurePass Technologies Identity Verification Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language
2026-01-13T09:29:38
https://git-scm.com/book/pl/v2/Rozproszony-Git-Podsumowanie
Git - Podsumowanie About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Pierwsze kroki 1.1 Wprowadzenie do kontroli wersji 1.2 Krótka historia Git 1.3 Podstawy Git 1.4 Linia poleceń 1.5 Instalacja Git 1.6 Wstępna konfiguracja Git 1.7 Uzyskiwanie pomocy 1.8 Podsumowanie 2. Podstawy Gita 2.1 Pierwsze repozytorium Gita 2.2 Rejestrowanie zmian w repozytorium 2.3 Podgląd historii rewizji 2.4 Cofanie zmian 2.5 Praca ze zdalnym repozytorium 2.6 Tagowanie 2.7 Aliasy 2.8 Podsumowanie 3. Gałęzie Gita 3.1 Czym jest gałąź 3.2 Podstawy rozgałęziania i scalania 3.3 Zarządzanie gałęziami 3.4 Sposoby pracy z gałęziami 3.5 Gałęzie zdalne 3.6 Zmiana bazy 3.7 Podsumowanie 4. Git na serwerze 4.1 Protokoły 4.2 Uruchomienie Git na serwerze 4.3 Generowanie Twojego publicznego klucza SSH 4.4 Konfigurowanie serwera 4.5 Git Daemon 4.6 Smart HTTP 4.7 GitWeb 4.8 GitLab 4.9 Inne opcje hostowania przez podmioty zewnętrzne 4.10 Podsumowanie 5. Rozproszony Git 5.1 Rozproszone przepływy pracy 5.2 Wgrywanie zmian do projektu 5.3 Utrzymywanie projektu 5.4 Podsumowanie 6. GitHub 6.1 Account Setup and Configuration 6.2 Contributing to a Project 6.3 Maintaining a Project 6.4 Managing an organization 6.5 Scripting GitHub 6.6 Summary 7. Narzędzia Gita 7.1 Wskazywanie rewizji 7.2 Interaktywne używanie przechowali 7.3 Schowek i czyszczenie 7.4 Signing Your Work 7.5 Searching 7.6 Przepisywanie historii 7.7 Reset Demystified 7.8 Advanced Merging 7.9 Rerere 7.10 Debugowanie z Gitem 7.11 Moduły zależne 7.12 Bundling 7.13 Replace 7.14 Credential Storage 7.15 Podsumowanie 8. Dostosowywanie Gita 8.1 Konfiguracja Gita 8.2 Git Attributes 8.3 Git Hooks 8.4 An Example Git-Enforced Policy 8.5 Summary 9. Git i inne systemy 9.1 Git jako klient 9.2 Migracja do Gita 9.3 Podsumowanie 10. Mechanizmy wewnętrzne w Git 10.1 Komendy typu plumbing i porcelain 10.2 Obiekty Gita 10.3 Referencje w Git 10.4 Spakowane pliki (packfiles) 10.5 Refspec 10.6 Protokoły transferu 10.7 Konserwacja i odzyskiwanie danych 10.8 Environment Variables 10.9 Podsumowanie A1. Appendix A: Git in Other Environments A1.1 Graphical Interfaces A1.2 Git in Visual Studio A1.3 Git in Eclipse A1.4 Git in Bash A1.5 Git in Zsh A1.6 Git in Powershell A1.7 Summary A2. Appendix B: Embedding Git in your Applications A2.1 Command-line Git A2.2 Libgit2 A2.3 JGit A3. Appendix C: Git Commands A3.1 Setup and Config A3.2 Getting and Creating Projects A3.3 Basic Snapshotting A3.4 Branching and Merging A3.5 Sharing and Updating Projects A3.6 Inspection and Comparison A3.7 Debugging A3.8 Patching A3.9 Email A3.10 External Systems A3.11 Administration A3.12 Plumbing Commands 2nd Edition 5.4 Rozproszony Git - Podsumowanie Podsumowanie Powinieneś się teraz czuć całkiem swobodnie uczestnicząc w projekcie używając Gita, zarówno jako opiekun własnego projektu jak również, integrator zmian dostarczonych przez innych użytkowników. Gratulacje! Właśnie stałeś się skutecznym deweloperem używającym Gita! W następnym rozdziale dowiesz się, jak korzystać z serwisu GitHub – największego i najpopularniejszego serwisu hostingowego Git. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://git-scm.com/book/pt-br/v2/Come%c3%a7ando-A-Linha-de-Comando
Git - A Linha de Comando About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Começando 1.1 Sobre Controle de Versão 1.2 Uma Breve História do Git 1.3 O Básico do Git 1.4 A Linha de Comando 1.5 Instalando o Git 1.6 Configuração Inicial do Git 1.7 Pedindo Ajuda 1.8 Sumário 2. Fundamentos de Git 2.1 Obtendo um Repositório Git 2.2 Gravando Alterações em Seu Repositório 2.3 Vendo o histórico de Commits 2.4 Desfazendo coisas 2.5 Trabalhando de Forma Remota 2.6 Criando Tags 2.7 Apelidos Git 2.8 Sumário 3. Branches no Git 3.1 Branches em poucas palavras 3.2 O básico de Ramificação (Branch) e Mesclagem (Merge) 3.3 Gestão de Branches 3.4 Fluxo de Branches 3.5 Branches remotos 3.6 Rebase 3.7 Sumário 4. Git no servidor 4.1 Os Protocolos 4.2 Getting Git on a Server 4.3 Gerando Sua Chave Pública SSH 4.4 Setting Up the Server 4.5 Git Daemon 4.6 Smart HTTP 4.7 GitWeb 4.8 GitLab 4.9 Third Party Hosted Options 4.10 Sumário 5. Distributed Git 5.1 Fluxos de Trabalho Distribuídos 5.2 Contribuindo com um Projeto 5.3 Maintaining a Project 5.4 Summary 6. GitHub 6.1 Configurando uma conta 6.2 Contribuindo em um projeto 6.3 Maintaining a Project 6.4 Managing an organization 6.5 Scripting GitHub 6.6 Summary 7. Git Tools 7.1 Revision Selection 7.2 Interactive Staging 7.3 Stashing and Cleaning 7.4 Signing Your Work 7.5 Searching 7.6 Rewriting History 7.7 Reset Demystified 7.8 Advanced Merging 7.9 Rerere 7.10 Debugging with Git 7.11 Submodules 7.12 Bundling 7.13 Replace 7.14 Credential Storage 7.15 Summary 8. Customizing Git 8.1 Git Configuration 8.2 Git Attributes 8.3 Git Hooks 8.4 An Example Git-Enforced Policy 8.5 Summary 9. Git and Other Systems 9.1 Git as a Client 9.2 Migrating to Git 9.3 Summary 10. Funcionamento Interno do Git 10.1 Encanamento e Porcelana 10.2 Objetos do Git 10.3 Referências do Git 10.4 Packfiles 10.5 The Refspec 10.6 Transfer Protocols 10.7 Maintenance and Data Recovery 10.8 Variáveis de ambiente 10.9 Sumário A1. Appendix A: Git em Outros Ambientes A1.1 Graphical Interfaces A1.2 Git in Visual Studio A1.3 Git in Eclipse A1.4 Git in Bash A1.5 Git in Zsh A1.6 Git in Powershell A1.7 Resumo A2. Appendix B: Embedding Git in your Applications A2.1 Command-line Git A2.2 Libgit2 A2.3 JGit A3. Appendix C: Git Commands A3.1 Setup and Config A3.2 Getting and Creating Projects A3.3 Basic Snapshotting A3.4 Branching and Merging A3.5 Sharing and Updating Projects A3.6 Inspection and Comparison A3.7 Debugging A3.8 Patching A3.9 Email A3.10 External Systems A3.11 Administration A3.12 Plumbing Commands 2nd Edition 1.4 Começando - A Linha de Comando A Linha de Comando Existem várias formas diferentes de usar o Git. Existem as ferramentas originais de linha de comando, e existem várias interfaces gráficas de usuário (GUI - Graphical User Interface) com opções variadas. Para este livro, nós usaremos o Git na linha de comando. A linha de comando é o único lugar onde você pode rodar todos os comandos do Git - a maioria das GUI implementa somente um subconjunto das funcionalidades do Git. Se você sabe como usar o Git na linha de comando, você provavelmente descobrirá como rodar versões GUI, enquanto o oposto não é necessariamente verdade. Além disso, enquanto a sua escolha da interface gráfica é uma questão de gosto pessoal, todos os usuário terão as ferramentas de linha de comando instaladas e disponíveis. Então, nós esperamos que você saiba como abrir um Terminal no Mac, ou Linha de Comando ou Powershell no Windows. Se você não sabe do que estamos falando, talvez você precise parar e pesquisar isso antes de continuar, para poder seguir os exemplos descritos neste livro. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://www.youtube.com/watch?v=KN-JiAj8bNQ
Asset management features in Jira Service Management - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 © 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = {"responseContext":{"serviceTrackingParams":[{"service":"CSI","params":[{"key":"c","value":"WEB"},{"key":"cver","value":"2.20260109.01.00"},{"key":"yt_li","value":"0"},{"key":"GetWatchNext_rid","value":"0xff5d8ac025a7ad14"}]},{"service":"GFEEDBACK","params":[{"key":"logged_in","value":"0"},{"key":"visitor_data","value":"CgtNUTNqSVk2S1c2RSj-oJjLBjIKCgJLUhIEGgAgamLfAgrcAjE1LllUPWpIWW16cm8xbERjZUNFUVdKM1piU1pHSUItUHlGOER4WEV3TXVvSFFqVFBuVzQ0MGFaWURKaWcwTVFjSlZsS1RGekw2d3NaYjlmRmo5cFhYaEZ2bnRHdVB1YzJudWlsbTROSk1nTEh2aG1ndVQ4emJvN0JuR0VMVEFiNFM3VUdQRUVjcWgtRkdXdDNvWnRsYUVLeDFkMUZfWDZ0aVdKYWNFMGx6ZVRyRDFBTmNLeWg2MGVyT3pZd1kzOUZuc0tLVHp2SDQ1OWdwZ0dXc2d1SURWeUg3UHlDMGxqMC0xOWZVWkt0TXo2bzBOaDBwTlItQ1VZSnpFSm9mTFVNOUZFNm5WUEd2bjZFckh2TnZoVXZyNFZKR0pTYkFXZ01rOUt2bTRIcTZyVWkzVG1UTVF4MXU2OTdWLWY2dHpwN3dxVHRPaGhkM2NvSlBtZTNzcmN1eXZKLVhzUQ%3D%3D"}]},{"service":"GUIDED_HELP","params":[{"key":"logged_in","value":"0"}]},{"service":"ECATCHER","params":[{"key":"client.version","value":"2.20260109"},{"key":"client.name","value":"WEB"}]}],"mainAppWebResponseContext":{"loggedOut":true,"trackingParam":"kx_fmPxhoPZRDGKRnk6ggnXzr1pk4ju1fZGBfsjj4B2P7jHRgkussh7BwOcCE59TDtslLKPQ-SS"},"webResponseContextExtensionData":{"webResponseContextPreloadData":{"preloadMessageNames":["twoColumnWatchNextResults","results","videoPrimaryInfoRenderer","videoViewCountRenderer","menuRenderer","menuServiceItemRenderer","segmentedLikeDislikeButtonViewModel","likeButtonViewModel","toggleButtonViewModel","buttonViewModel","modalWithTitleAndButtonRenderer","buttonRenderer","dislikeButtonViewModel","unifiedSharePanelRenderer","menuFlexibleItemRenderer","metadataBadgeRenderer","videoSecondaryInfoRenderer","videoOwnerRenderer","subscribeButtonRenderer","subscriptionNotificationToggleButtonRenderer","menuPopupRenderer","confirmDialogRenderer","metadataRowContainerRenderer","compositeVideoPrimaryInfoRenderer","itemSectionRenderer","continuationItemRenderer","secondaryResults","lockupViewModel","thumbnailViewModel","thumbnailOverlayBadgeViewModel","thumbnailBadgeViewModel","thumbnailHoverOverlayToggleActionsViewModel","lockupMetadataViewModel","decoratedAvatarViewModel","avatarViewModel","contentMetadataViewModel","sheetViewModel","listViewModel","listItemViewModel","badgeViewModel","playerOverlayRenderer","menuNavigationItemRenderer","watchNextEndScreenRenderer","endScreenVideoRenderer","thumbnailOverlayTimeStatusRenderer","thumbnailOverlayNowPlayingRenderer","playerOverlayVideoDetailsRenderer","quickActionsViewModel","decoratedPlayerBarRenderer","speedmasterEduViewModel","engagementPanelSectionListRenderer","engagementPanelTitleHeaderRenderer","sortFilterSubMenuRenderer","sectionListRenderer","adsEngagementPanelContentRenderer","chipBarViewModel","chipViewModel","structuredDescriptionContentRenderer","videoDescriptionHeaderRenderer","factoidRenderer","viewCountFactoidRenderer","expandableVideoDescriptionBodyRenderer","videoDescriptionTranscriptSectionRenderer","videoDescriptionInfocardsSectionRenderer","compactInfocardRenderer","mediaLockupRenderer","desktopTopbarRenderer","topbarLogoRenderer","fusionSearchboxRenderer","topbarMenuButtonRenderer","multiPageMenuRenderer","hotkeyDialogRenderer","hotkeyDialogSectionRenderer","hotkeyDialogSectionOptionRenderer","voiceSearchDialogRenderer","cardCollectionRenderer","cardRenderer","simpleCardTeaserRenderer","cinematicContainerRenderer"]},"ytConfigData":{"visitorData":"CgtNUTNqSVk2S1c2RSj-oJjLBjIKCgJLUhIEGgAgamLfAgrcAjE1LllUPWpIWW16cm8xbERjZUNFUVdKM1piU1pHSUItUHlGOER4WEV3TXVvSFFqVFBuVzQ0MGFaWURKaWcwTVFjSlZsS1RGekw2d3NaYjlmRmo5cFhYaEZ2bnRHdVB1YzJudWlsbTROSk1nTEh2aG1ndVQ4emJvN0JuR0VMVEFiNFM3VUdQRUVjcWgtRkdXdDNvWnRsYUVLeDFkMUZfWDZ0aVdKYWNFMGx6ZVRyRDFBTmNLeWg2MGVyT3pZd1kzOUZuc0tLVHp2SDQ1OWdwZ0dXc2d1SURWeUg3UHlDMGxqMC0xOWZVWkt0TXo2bzBOaDBwTlItQ1VZSnpFSm9mTFVNOUZFNm5WUEd2bjZFckh2TnZoVXZyNFZKR0pTYkFXZ01rOUt2bTRIcTZyVWkzVG1UTVF4MXU2OTdWLWY2dHpwN3dxVHRPaGhkM2NvSlBtZTNzcmN1eXZKLVhzUQ%3D%3D","rootVisualElementType":3832},"hasDecorated":true}},"contents":{"twoColumnWatchNextResults":{"results":{"results":{"contents":[{"videoPrimaryInfoRenderer":{"title":{"runs":[{"text":"Asset 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2026-01-13T09:29:38
https://www.linkedin.com/posts/verified-first_hrtech-ats-backgroundscreening-activity-7414330659550441472-F2Rj
HR Tech Investments Threatened by Existing Screening Integration | Verified First posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now HR Tech Investments Threatened by Existing Screening Integration This title was summarized by AI from the post below. Verified First 7,992 followers 6d Report this post Your new #HRtech investments could be facing sabotage. ⚠️ Your peers confirmed: The biggest threat to your 2026 tech strategy isn't the new platform…it's the old one. Our data indicates that while the #1 replacement trend is #ATS , your existing screening integration could be a hidden risk. That could mean 6-12 months of unplanned IT work, and pausing the ROI of your new tech investments. What’s the solution? Get The 2026 HR Tech Report: Addressing Risk, Speed, and Strategy to find out! https://lnkd.in/gsy_wqSr #BackgroundScreening #2026planning #HumanResources 9 1 Comment Like Comment Share Copy LinkedIn Facebook X Vishnu Kumar 5d Report this comment Hello HRs , My Name is Vishnu. i have 6 years of experience in background verification education and employment department. In such reputed organization like Hello Verify and Authbridge Research Service Pvt Ltd as Sr Quality Analyst and Sr Executive. Kindly check my attachment for more information. If you have any open positions in your organization please let me know. Thanks & Regards Vishnu Kumar  8755536136 Like Reply 1 Reaction To view or add a comment, sign in More Relevant Posts Yoko Garn 1w Report this post Modern HR isn’t just about managing systems — it’s about understanding people and business needs. The most successful organizations don’t just use technology; they connect it across every part of the business. A workforce operating platform does exactly that: uniting people data, daily operations, and business outcomes to power smarter, AI-driven decisions. Check out these six steps to help you choose the right platform to build trust, boost performance, and help your workforce work better together. https://ukg.inc/4bccks7 #UKGBlog #WorkforceTechnology Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Udell Padilla 3w Report this post Buying HR & workforce technology isn’t just about features or demos. It’s about clarity, accountability, and partnership. The best outcomes come when buyers challenge assumptions, slow down the “yes,” and ask the next question. In my 12 years working with organizations evaluating HRIS technology, one theme shows up every single time I talk with leaders with buyer’s remorse… They failed to ask the follow-up questions that actually matter. On paper, everything the vendor sounded great. “Yes, we integrate with that system” but during implementation, reality hits when they forgot to ask “Who builds and maintains the integration?” If you’re in the middle of evaluating HR or workforce technology or still feeling the effects of a past decision this guide is worth your time. #HRTech #FutureOfWork #WorkforceManagement #HRLeadership #HRIS #HCM #UKG Chris Kiklas GVP and General Manager, UKG Ready 1mo Modern HR isn’t just about managing systems — it’s about understanding people and business needs. The most successful organizations don’t just use technology; they connect it across every part of the business. A workforce operating platform does exactly that: uniting people data, daily operations, and business outcomes to power smarter, AI-driven decisions. Check out these six steps to help you choose the right platform to build trust, boost performance, and help your workforce work better together. https://ukg.inc/4rC32vf #UKGBlog #WorkforceTechnology 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Wes Steele 3w Report this post Myth: employers want fewer vendors at all costs. Reality: employers want fewer problems, cleaner data, and better/faster resolution when something breaks. Consolidation sounds clean in theory. In reality, it often creates new friction. When an “all-in-one” doesn’t execute, the fallout is predictable: • HR becomes the help desk • Errors turn into trust issues • Carrier bills don’t match enrollments • Employees don’t understand their benefits. HR teams don’t have extra staff to babysit systems. They need: • Technology that works • Clear support across vendors • Partners who stay engaged and are helpful. The future of benefits technology isn’t about eliminating vendors. It’s about making an ecosystem and partnerships that actually works. 49 2 Comments Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in HighMatch 2,049 followers 3w Report this post Most HR tech failures aren’t software issues. They’re strategy issues. When teams try to automate broken processes such as unclear workflows, undefined behaviors, and inconsistent expectations, they don’t get efficiency. They get chaos at scale. Dashboards become louder, not smarter. Decisions feel faster, not better. And the ROI? Still missing. The HR teams seeing real results treat clarity like infrastructure. They define what “good” looks like, align leadership, and build accountability before turning on automation. Because tools don’t fix misalignment, they just amplify it. At High Match, we help teams build the behavioral foundation that makes HR tech work the way it was promised: predictable, aligned, and performance-driven. #highmatch #hrtech #peopleanalytics #talentstrategy 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Aaliyah Jenkins, MBA, SHRM-CP, LSSWB 3d Report this post 🤝 HR Without Humans Is a Risk, Not a Strategy Lately, I’ve been thinking about the growing trend of removing or limiting access to actual humans in HR replacing conversations with inboxes, ticketing systems, bots, and FAQs. Let me be clear: technology has its place. But when employees can’t reach a real HR professional, companies are setting themselves up for failure. Why? Because: Not every situation fits neatly into a form or workflow Sensitive issues require context, empathy, and judgment Trust is built through conversation, not automation When access to HR becomes too distant or transactional, organizations risk: • Missed early warning signs • Escalations that could have been prevented • Decreased trust and engagement • Increased legal and reputational risk The goal shouldn’t be HR at a distance it should be HR with intention. Use technology to support HR, not replace the human connection that makes it effective. People don’t just need answers. They need to feel heard. 💬 Curious how others see this: How is your organization balancing HR technology with real human access? #HRLeadership #EmployeeExperience #PeopleFirst #FutureOfWork #HRTechnology #OrganizationalCulture 4 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Ian Shaw FREC 4d Report this post As we continue to analyse our client engagement data and feedback from the past year, the pressure is clear, and the need for real action has never been more urgent.... Whilst many are talking about workforce transformation, very few are actually taking steps to address the challenges. The numbers (so far!) tell their own story: - 77% of business leaders say hiring and retaining talent is the most critical driver of growth - 52% of CHROs rank shortages of critical talent as their #1 challenge - Over 80% of business leaders are increasing their use of contingent, seasonal, and flexible labour Magnit was recently recognised as a Market Leader in Ardent Partners’ 2025 VMS Technology Advisor Report, with the highest scores for AI innovation That recognition matters, not because of the badge, but because of what it enables: real workforce visibility, real governance, and real financial outcomes The uncomfortable truth we’re seeing in the data: Many organisations claim they have control of their contingent workforce however, when diving deeper into the data, especially at an operational and blue-collar labour, the picture is very different! - Lack of governance and an inability to evidence compliance in real time, increasing legislative risk - Irregular and inconsistent rate cards, errors go unnoticed, hidden charges inflate cost - Lack of control around demand, no permissions or gatekept mechanisms for budget & forecasting With rising regulation, cost pressure, and growing reliance on contingent labour, “good enough” workforce oversight is no longer good enough! That’s why workforce diagnostics matter... We’ve analysed nearly £2bn of contingent spend in 2025, uncovering multi-million-pound savings, material compliance risk, and opportunities for immediate improvement - without disruption to BAU If your workforce data can’t clearly show risk, governance, and ROI across all labour categories, it’s probably costing you more than you think? 2026 won’t reward those who react fastest - it will reward those who already know where the risk and value sit If you want to test the reality of your contingent workforce, especially where it’s hardest to see, let’s jump on a call... https://lnkd.in/eCmeyK8r Ian Shaw FREC CRO | Sales Director | Recruitment and Technology Leader | New Business & Revenue Generation | Workforce Transformation and Change | (MSP/Talentpool/MV/NV/Bank) | Workforce Audit and Analysis 1w As we move into 2026 I will take the opportunity to wish you a Happy New Year and share a brief note as we look ahead to the future... As December closed, Magnit was recognised as a Market Leader in Ardent Partners’ 2025 VMS Technology Advisor Report, receiving the highest marks for AI innovation. Download your report here: https://lnkd.in/e3TxmvWZ This reflects the depth of our expertise in turning complex workforce data into clear, actionable insight especially for compliance assurance and financial performance. That focus on rigour and measurable outcomes underpins how we approach contingent labour workforce transformation through Magnit Shift. With growing legislative and cost pressures, clients are increasingly looking beyond unified oversight of their contingent workforce to how they can fund meaningful improvement backed by real data and measurable outcomes. Our Workforce Diagnostic combined with a unique commercial model offers exactly that, led by a global team of market leading experts (almost £2bn of spend analysed in 2025 delivering £multi-million savings) who set the foundations to deliver transparency, compliance, and quantifiable ROI across our clients entire contingent workforce - quickly, safely, and without disruption If identifying risk, ensuring governance and operating more sustainably would benefit your business, let me know - we can squeeze in a couple of additional projects throughout January (just don't tell anyone from our strategic advisory teams!!) 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Cartmel Pty Ltd 6 followers 5d Report this post The 2026 Staffing Paradigm Shift (Part One): It’s not about recruitment budgets or competitive salaries. SMEs and large organisations alike face the same reality: Can't find the right people. Can't keep experienced staff. Can't afford to lose institutional knowledge when long-term employees retire. Meanwhile, you're the bottleneck—the only one who can make critical decisions. Here's the uncomfortable truth: Your operational culture needs updating. What's actually working: Smart Automation → Remove tasks that prevent good people from doing great work. Operational Innovation → Create roles that utilise human judgment, not just human hands. Sustainability Integration → Build purpose that makes staying worthwhile We help businesses solve staffing crises through strategic operational redesign advice—not quick fixes or expensive consultants who don't understand your industry. We redefine how work is done so you can collaborate with the workforce and existing collective of talent that truly exists. Let's talk about your operational "People culture" reality check. Make sure to follow our LinkedIn page or profile and stay tuned for our next post (A real case study demonstrating how AI eliminated a $200K per year staffing headache for just $240 a month). #OperationalExcellence #PeopleSolutions #BusinessRedesign #WorkforcePlanning #StrategicConsulting #SMEStrategy #CartmelConsulting " 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Emmy Oudman Bailey 5d Report this post The 2026 Staffing Paradigm Shift (Part One): It’s not about recruitment budgets or competitive salaries. SMEs and large organisations alike face the same reality: Can't find the right people. Can't keep experienced staff. Can't afford to lose institutional knowledge when long-term employees retire. Meanwhile, you're the bottleneck—the only one who can make critical decisions. Here's the uncomfortable truth: Your operational culture needs updating. What's actually working: Smart Automation → Remove tasks that prevent good people from doing great work. Operational Innovation → Create roles that utilise human judgment, not just human hands. Sustainability Integration → Build purpose that makes staying worthwhile We help businesses solve staffing crises through strategic operational redesign advice—not quick fixes or expensive consultants who don't understand your industry. We redefine how work is done so you can collaborate with the workforce and existing collective of talent that truly exists. Let's talk about your operational "People culture" reality check. Make sure to follow our LinkedIn page or profile and stay tuned for our next post (A real case study demonstrating how AI eliminated a $200K per year staffing headache for just $240 a month). #OperationalExcellence #PeopleSolutions #BusinessRedesign #WorkforcePlanning #StrategicConsulting #SMEStrategy #CartmelConsulting " 1 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Artek Services & Solutions Limited 1,793 followers 5d Report this post 𝑮𝒓𝒐𝒘𝒊𝒏𝒈 𝒐𝒓𝒈𝒂𝒏𝒊𝒔𝒂𝒕𝒊𝒐𝒏𝒔 𝒅𝒐𝒏’𝒕 𝒏𝒆𝒆𝒅 𝒎𝒐𝒓𝒆 𝑯𝑹 𝒕𝒐𝒐𝒍𝒔. They need 𝐜𝐥𝐞𝐚𝐫 𝐯𝐢𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐲. When workforce data is structured, 𝒂𝒄𝒄𝒆𝒔𝒔𝒊𝒃𝒍𝒆, 𝒂𝒏𝒅 𝒓𝒆𝒍𝒊𝒂𝒃𝒍𝒆, leaders gain the control needed to manage risk, meet compliance requirements, and make 𝒄𝒐𝒏𝒇𝒊𝒅𝒆𝒏𝒕 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔. 𝑨𝒓𝒕𝒆𝒌 Workforce provides a 𝘀𝗶𝗻𝗴𝗹𝗲 𝘀𝗼𝘂𝗿𝗰𝗲 𝗼𝗳 𝘁𝗿𝘂𝘁𝗵 — bringing HR, hiring, and workforce operations into 𝐨𝐧𝐞 𝐩𝐥𝐚𝐭𝐟𝐨𝐫𝐦 designed for clarity and accountability. The result: • 𝐂𝐥𝐞𝐚𝐫𝐞𝐫 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬  • 𝐁𝐞𝐭𝐭𝐞𝐫 𝐮𝐬𝐞 𝐨𝐟 𝐭𝐢𝐦𝐞 𝐚𝐧𝐝 𝐫𝐞𝐬𝐨𝐮𝐫𝐜𝐞𝐬  • 𝐂𝐨𝐧𝐟𝐢𝐝𝐞𝐧𝐭, 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐭 𝐝𝐞𝐜𝐢𝐬𝐢𝐨𝐧-𝐦𝐚𝐤𝐢𝐧𝐠 Efficiency isn’t about moving faster. It’s about making the 𝒓𝒊𝒈𝒉𝒕 𝒅𝒆𝒄𝒊𝒔𝒊𝒐𝒏𝒔 at the 𝒓𝒊𝒈𝒉𝒕 𝒕𝒊𝒎𝒆. 👉 𝐃𝐢𝐬𝐜𝐨𝐯𝐞𝐫 𝐀𝐫𝐭𝐞𝐤 𝐖𝐨𝐫𝐤𝐟𝐨𝐫𝐜𝐞 https://lnkd.in/gJqDHPGy #UKBusiness #HRTech #ArtekWorkforce #Visibility #HRLeadership #WorkforceManagement #Compliance #OperationalControl #ArtekWorkforce …more 5 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Teresa Hauck, MEd HROD, Prosciᵀᴹ, CCMPᵀᴹ, CTBME®, ITIL4® 3w Report this post People don't resist new tools because they’re afraid—they resist because they don't see how it helps them. When we stop issuing mandates and start showing our teams how technology gives them more time for the work they love, they won't just use it—they'll embrace it. Read the full article for more insights on how to put your people first during a digital change. #FutureOfWork #ChangeManagement #WorkplaceCulture #DigitalTransformation #HRTech 5 HR insights from Workday VP about tech resistance, consolidation and more https://hrexecutive.com Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 7,992 followers View Profile Connect Explore content categories Career Productivity Finance Soft Skills & Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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2026-01-13T09:29:38
https://git-scm.com/book/ru/v2/%d0%a0%d0%b0%d1%81%d0%bf%d1%80%d0%b5%d0%b4%d0%b5%d0%bb%d1%91%d0%bd%d0%bd%d1%8b%d0%b9-Git-%d0%97%d0%b0%d0%ba%d0%bb%d1%8e%d1%87%d0%b5%d0%bd%d0%b8%d0%b5
Git - Заключение About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Введение 1.1 О системе контроля версий 1.2 Краткая история Git 1.3 Что такое Git? 1.4 Командная строка 1.5 Установка Git 1.6 Первоначальная настройка Git 1.7 Как получить помощь? 1.8 Заключение 2. Основы Git 2.1 Создание Git-репозитория 2.2 Запись изменений в репозиторий 2.3 Просмотр истории коммитов 2.4 Операции отмены 2.5 Работа с удалёнными репозиториями 2.6 Работа с тегами 2.7 Псевдонимы в Git 2.8 Заключение 3. Ветвление в Git 3.1 О ветвлении в двух словах 3.2 Основы ветвления и слияния 3.3 Управление ветками 3.4 Работа с ветками 3.5 Удалённые ветки 3.6 Перебазирование 3.7 Заключение 4. Git на сервере 4.1 Протоколы 4.2 Установка Git на сервер 4.3 Генерация открытого SSH ключа 4.4 Настраиваем сервер 4.5 Git-демон 4.6 Умный HTTP 4.7 GitWeb 4.8 GitLab 4.9 Git-хостинг 4.10 Заключение 5. Распределённый Git 5.1 Распределённый рабочий процесс 5.2 Участие в проекте 5.3 Сопровождение проекта 5.4 Заключение 6. GitHub 6.1 Настройка и конфигурация учётной записи 6.2 Внесение собственного вклада в проекты 6.3 Сопровождение проекта 6.4 Управление организацией 6.5 Создание сценариев GitHub 6.6 Заключение 7. Инструменты Git 7.1 Выбор ревизии 7.2 Интерактивное индексирование 7.3 Припрятывание и очистка 7.4 Подпись 7.5 Поиск 7.6 Перезапись истории 7.7 Раскрытие тайн reset 7.8 Продвинутое слияние 7.9 Rerere 7.10 Обнаружение ошибок с помощью Git 7.11 Подмодули 7.12 Создание пакетов 7.13 Замена 7.14 Хранилище учётных данных 7.15 Заключение 8. Настройка Git 8.1 Конфигурация Git 8.2 Атрибуты Git 8.3 Хуки в Git 8.4 Пример принудительной политики Git 8.5 Заключение 9. Git и другие системы контроля версий 9.1 Git как клиент 9.2 Переход на Git 9.3 Заключение 10. Git изнутри 10.1 Сантехника и Фарфор 10.2 Объекты Git 10.3 Ссылки в Git 10.4 Pack-файлы 10.5 Спецификации ссылок 10.6 Протоколы передачи данных 10.7 Обслуживание репозитория и восстановление данных 10.8 Переменные окружения 10.9 Заключение A1. Приложение A: Git в других окружениях A1.1 Графические интерфейсы A1.2 Git в Visual Studio A1.3 Git в Visual Studio Code A1.4 Git в Eclipse A1.5 Git в IntelliJ / PyCharm / WebStorm / PhpStorm / RubyMine A1.6 Git в Sublime Text A1.7 Git в Bash A1.8 Git в Zsh A1.9 Git в PowerShell A1.10 Заключение A2. Приложение B: Встраивание Git в ваши приложения A2.1 Git из командной строки A2.2 Libgit2 A2.3 JGit A2.4 go-git A2.5 Dulwich A3. Приложение C: Команды Git A3.1 Настройка и конфигурация A3.2 Клонирование и создание репозиториев A3.3 Основные команды A3.4 Ветвление и слияния A3.5 Совместная работа и обновление проектов A3.6 Осмотр и сравнение A3.7 Отладка A3.8 Внесение исправлений A3.9 Работа с помощью электронной почты A3.10 Внешние системы A3.11 Администрирование A3.12 Низкоуровневые команды 2nd Edition 5.4 Распределённый Git - Заключение Заключение Теперь вы должны чувствовать себя достаточно свободно как внося свой вклад в проект под управлением Git, так и занимаясь поддержкой своего собственного проекта или интегрированием наработок других пользователей. Поздравляем, вы опытный Git-разработчик! В следующей главе вы узнаете о том, как использовать самый большой и самый популярный Git хостинг — GitHub. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://aws.amazon.com/route53/features/
Amazon Route 53 features - Amazon Web Services Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Amazon Route 53 Overview Pricing Networking and Content Delivery › Amazon Route 53 › Features Amazon Route 53 features Page topics Key features 19 Functionality 1 About DNS 1 Working with Amazon Route 53s APIs 1 The Amazon Route 53 Global Network 1 Intended Usage and Restrictions 1 Key features Open all Route 53 Resolver Get recursive DNS for your Amazon VPCs in AWS Regions, VPCs in  AWS Outposts racks , or any other on-premises networks. Create conditional forwarding rules and Route 53 endpoints to resolve custom names mastered in Amazon Route 53 private hosted zones or in your on-premises DNS servers. Learn more Route 53 Resolver on Outposts endpoints Connect Route 53 Resolvers on Outpost racks with DNS servers in your on-premises data centers through Route 53 Resolver endpoints. This enables resolution of DNS queries between the Outposts racks and your other on-premises resources. Route 53 Resolver DNS Firewall Protect your recursive DNS queries within the Route 53 Resolver. Create domain lists and build firewall rules that filter outbound DNS traffic against these rules. Learn more Route 53 Profiles Manage one or more shareable configurations for Route 53, including private hosted zones, Route 53 Resolver DNS Firewall rule groups, and Route 53 Resolver rules, in the form of a Profile. Automatically apply such configurations across VPCs and AWS accounts, even as new resources are added or updated. Learn more Traffic flow Easy-to-use and cost-effective global traffic management: route end users to the best endpoint for your application based on geoproximity, latency, health, and other considerations. Learn more Geoproximity routing Improves application responsiveness for your end users and helps apply data residency preferences by routing traffic to the geographically nearest resource. Learn more Latency based routing Route end users to the AWS region that provides the lowest possible latency. Learn more IP-based routing Fine-tune your DNS routing approach based on the Classless Inter-Domain Routing (CIDR) block that the query-originating IP address belongs to. Learn more Geo DNS Route end users to a particular endpoint that you specify based on the end user’s geographic location. Learn more Private DNS for Amazon VPC Manage custom domain names for your internal AWS resources without exposing DNS data to the public Internet. Learn more DNS Failover Automatically route your website visitors to an alternate location to avoid site outages. Learn more Health Checks and Monitoring Amazon Route 53 can monitor the health and performance of your application as well as your web servers and other resources. Learn more Domain Registration Amazon Route 53 offers domain name registration services, where you can search for and register available domain names or transfer in existing domain names to be managed by Route 53. View  a full list of supported top-level domains (TLDs) and current pricing . Learn more DNSSEC Enable DNSSEC signing for all existing and new public hosted zones, as well as DNSSEC validation for Amazon Route 53 Resolver. Learn more CloudFront Zone Apex Support When using Amazon CloudFront to deliver your website content, visitors to your website can now access your site at the zone apex (or "root domain"). For example, your site can be accessed as example.com instead of www.example.com. Learn more S3 Zone Apex Support Visitors to your website hosted on Amazon S3 can now access your site at the zone apex (or "root domain"). Learn more Amazon ELB Integration Amazon Route 53 is integrated with Elastic Load Balancing (ELB). Learn more Management Console Amazon Route 53 works with the  AWS Management Console . This web-based, point-and-click, graphical user interface lets you manage Amazon Route 53 without writing any code at all. Learn more Weighted Round Robin Amazon Route 53 offers Weighted Round Robin (WRR) functionality. Learn more Functionality Open all Overview Amazon Route 53 has a simple web-services interface that lets you get started in minutes. Your DNS records are organized into “hosted zones” that you configure with Route 53’s API. To use Route 53, you simply: Subscribe to the service by clicking on the sign-up button on this page. Create a hosted zone that can store DNS records for your domain. Upon creating the hosted zone, you receive four Route 53 name servers across four different Top-Level Domains (TLDs) to help ensure a high level of availability. If you don’t have a domain name, you can search for available domains and register them using the Route 53 console. If you have an existing domain name, you can opt to have it transferred to Route 53’s management so that you can conveniently manage your domain names and DNS configuration in a single location. Your hosted zone will be initially populated with a basic set of DNS records, including four virtual name servers that will answer queries for your domain. You can add, delete or change records in this set using the AWS Management Console or by calling the ChangeResourceRecordSetAPI. A list of supported DNS records is available  here . If you want to keep your domain name with the current registrar, inform the registrar to update the name servers for your domain to the ones associated with your hosted zone. If you’ve registered a domain name with Route 53, your domain name will be automatically associated with the correct name servers. To transfer your domain from another DNS service to Route 53, you: Get a list of your DNS record data for your domain name, generally available in the form of a “zone file” that you can get from your existing DNS provider. Follow the four getting started steps listed above. By following these few simple steps, you’ll be able to set up your DNS entries and have Route 53 answering queries for your web application in just a few minutes. See our Technical Documentation for more detailed information about the Route 53 service and API. About DNS Open all Overview The Domain Name System (DNS) is a globally distributed service that is foundational to the way people use the Internet. DNS uses a hierarchical name structure, and different levels in the hierarchy are each separated with a dot ( . ). Consider the domain names www.amazon.com and aws.amazon.com. In both these examples, “com” is the Top-Level Domain and “amazon” the Second-Level Domain. There can be any number of lower levels (e.g., “www” and “aws”) below the Second-Level Domain. Computers use the DNS hierarchy to translate human readable names like www.amazon.com into the IP addresses like 192.0.2.1 that computers use to connect to one another. Route 53 is an “authoritative DNS” system. An authoritative DNS system provides an update mechanism that developers use to manage their public DNS names. It then answers DNS queries, translating domain names into IP address so computers can communicate with each other. The name for our service (Route 53) comes from the fact that DNS servers respond to queries on port 53 and provide answers that route end users to your applications on the Internet. In the future, we will add additional routing capabilities to Route 53 to better help your users find the best way to your website or application. Working with Amazon Route 53s APIs Open all Overview Route 53 provides a simple set of APIs that make it easy to create and manage DNS records for your domains. You can call these directly; all this functionality can also be accessed via the  AWS Management Console . For a full list of the available Route 53 APIs, please see the  Amazon Route 53 API Reference Guide . Some of the most commonly used APIs and their functionality are listed below: CreateHostedZone:  Creates a new hosted zone to contain your DNS data. After creating a Hosted Zone, you receive four name servers to which you can delegate your domain. GetHostedZone:  Lists information about a specific hosted zone. DeleteHostedZone:  Deletes a hosted zone. ChangeResourceRecordSets:  Populates and edits the DNS resource records in a hosted zone. ListResourceRecordSets:  Retrieves either all the resource record sets in a hosted zone or filtered by record name and type. CheckAvailability:  Checks the availability of one domain. RegisterDomain:  Registers the requested domain. See our  Technical Documentation  for more detailed information about these APIs. The Amazon Route 53 Global Network Open all Overview Route 53 uses a global network of DNS servers at a series of world-wide locations to offer you high availability and increased performance. Route 53 uses the following locations: North America Atlanta, GA (ATL) Boston, MA (BOS) Chicago, IL (ORD) Dallas/Fort Worth, TX (DFW) Denver, CO (DEN) Houston, TX (IAH) Kansas City, KS (MCI) Los Angeles, CA (LAX) Miami, FL (MIA) Minneapolis, MN (MSP) Montreal, QC (YUL) New York, NY (JFK) Newark, NJ (EWR) Philadelphia, PA (PHL) Phoenix, AZ (PHX) Pittsburgh, PA (PIT) Portland, OR (HIO) Querétaro, MX (QRO) Salt Lake City, UT (SLC) San Francisco, CA (SFO) Seattle, WA (SEA) Toronto, ON (YTO) Vancouver, BC (YVR) Washington, DC (IAD) Europe Amsterdam, Netherlands (AMS) Athens, Greece (ATH) Barcelona, Spain (BCN) Berlin, Germany (TXL) Brussels, Belgium (BRU) Bucharest, Romania (OTP) Budapest, Hungary (BUD) Copenhagen, Denmark (CPH) Dublin, Ireland (DUB) Düsseldorf, Germany (DUS) Frankfurt, Germany (FRA) Hamburg, Germany (HAM) Helsinki, Finland (HEL) Lisbon, Portugal (LIS) London, United Kingdom (LHR) Madrid, Spain (MAD) Manchester, England (MAN) Marseille, France (MRS) Milan, Italy (MXP) Munich, Germany (MUC) Oslo, Norway (OSL) Paris, France (CDG) Prague, Czech Republic (PRG) Rome, Italy (FCO) Sofia, Bulgaria (SOF) Stockholm, Sweden (ARN) Vienna, Austria (VIE) Warsaw, Poland (WAW) Zagreb, Croatia (ZAG) Zurich, Switzerland (ZRH) South America Bogota, Columbia (BOG) Buenos Aires, Argentina (EZE) Fortaleza, Brazil (FOR) Lima, Peru (LIM) Rio de Janeiro, Brazil (GIG) Santiago, Chile (SCL) Sao Paulo, Brazil (GRU) Asia Bangkok, Thailand (BKK) Bengaluru, India (BLR) Chennai, India (MAA) Hanoi, Vietnam (HAN) Ho Chi Minh City, Vietnam (SGN) Hong Kong, China (HKG) Hyderabad, India (HYD) Jakarta, Indonesia (CGK) Kolkata, India (CCU) Kuala Lumpur, Malaysia (KUL) Manila, Philippines (MNL) Mumbai, India (BOM) New Delhi, India (DEL) Pune, India (PNQ) Seoul, South Korea (ICN) Singapore (SIN) Taipei, Taiwan (TPE) Tokyo, Japan (NRT) Australia and New Zealand Auckland, New Zealand (AKL) Brisbane, Australia (BNE) Melbourne, Australia (MEL) Perth, Australia (PER) Sydney, Australia (SYD) Middle East and Africa Cape Town, South Africa (CPT) Dubai, United Arab Emirates (DXB) Fujairah, United Arab Emirates (FJR) Johannesburg, South Africa (JNB) Lagos, Nigeria (LOS) Manama, Bahrain (BAH) Muscat, Oman (MCT) Nairobi, Kenya (NBO) Tel Aviv, Israel (TLV) Intended Usage and Restrictions Open all Overview Your use of this service is subject to the  Amazon Web Services Customer Agreement . Get started Pricing Learn more about Amazon Route 53 pricing Learn more Getting started Sign up for a free account Sign up Console Start building in the console Sign in Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? Cloud Computing Concepts Hub AWS Cloud Security What's New Blogs Press Releases Resources Getting Started Training AWS Trust Center AWS Solutions Library Architecture Center Product and Technical FAQs Analyst Reports AWS Partners Developers Builder Center SDKs & Tools .NET on AWS Python on AWS Java on AWS PHP on AWS JavaScript on AWS Help Contact Us File a Support Ticket AWS re:Post Knowledge Center AWS Support Overview Get Expert Help AWS Accessibility Legal English Back to top Amazon is an Equal Opportunity Employer: Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age. x facebook linkedin instagram twitch youtube podcasts email Privacy Site terms Cookie Preferences © 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved.
2026-01-13T09:29:38
https://dri.es/next-steps-for-evolving-drupal-governance
Next steps for evolving Drupal's governance | Dries Buytaert Dries Buytaert Blog Projects Photos About Next steps for evolving Drupal's governance The last time we made significant changes to our governance was 4 to 5 years ago [ 1 , 2 , 3 ]. It's time to evolve it more. We need to: Update the governance model so governance policies and community membership decisions are not determined by me or by me alone. It is clear that the current governance structure of Drupal, which relies on me being the ultimate decision maker and spokesperson for difficult governance and community membership decisions, has reached its limits. It doesn't work for many in our community – and frankly, it does not work for me either. I want to help drive the technical strategy and vision of Drupal, not be the arbiter of governance or interpersonal issues. Review our the Code of Conduct. Many have commented that the intentions and scope of the Code of Conduct are unclear. For example, some people have asked if violations of the Code of Conduct are the only reasons for which someone might be removed from our community, whether Community Working Group decisions can be made based on actions outside of the Drupal community, or whether we need a Code of Conduct at all. These are all important questions that need clear answers. I believe that to achieve the best outcome, we will: Organize both in-person and virtual roundtables during and after DrupalCon Baltimore to focus on gathering direct feedback from the community on evolving our governance. Refocus the 2-day meeting of the Drupal Association's Board of Directors at DrupalCon Baltimore to discuss these topics. Collect ideas in the issue queue of the Drupal Governance project . We will share a report from the roundtable discussions (point 1) and the Drupal Association Board Meeting (point 2) in the issue queue so everything is available in one place. Actively solicit help from experts on diversity, inclusion, experiences of marginalized groups, and codes of conduct and governance. This could include people from both inside and outside the Drupal community (e.g. a leader from another community who is highly respected). I've started looking into this option with the help of the Drupal Association and members of the Community Working Group. We are open to suggestions. In order to achieve these aims, we plan to organize an in-person Drupal Community Governance sprint the weeks following DrupalCon Baltimore, involving members of the Drupal Association, Community Working Group, the Drupal Diversity & Inclusion group, outside experts, as well as some community members who have been critical of our governance. At the sprint, we will discuss feedback gathered by the roundtables, as well as discussions during the 2-day board meeting at DrupalCon Baltimore, and turn these into concrete proposals: possible modifications to the Code of Conduct, structural changes, expectations of leadership, etc. These proposals will be open for public comment for several weeks or months, to be finalized by DrupalCon Vienna. We're still discussing these plans but I wanted to give you some insight in our progress and thinking; once the plans are finalized we'll share them on Drupal.org. Let us know your thoughts on this framework. I'm looking forward to working on solutions with others in the community. — Dries Buytaert Join 5,000+ readers. Two decades building Drupal and Acquia. Thoughts on Open Source, technology, and business. Subscribe Subscribe via RSS · Email me Calendar icon April 10, 2017 Clock icon 2 min read time Tag icon Drupal Drupal Association db
2026-01-13T09:29:38
https://dri.es/lullabot-understanding-drupal-dvd
Lullabot Understanding Drupal DVD | Dries Buytaert Dries Buytaert Blog Projects Photos About Lullabot Understanding Drupal DVD I finally had some time to take out my copy of Lullabot's Understanding Drupal DVD for a quick photo shoot. This DVD provides a broad overview of Drupal, and covers all the terminology and fundamental concepts of a Drupal site. It is great for people that are new to Drupal. For people that have Drupal experience, it might be too introductory, but those should certainly wait for the next DVD in their series. Lullabot also promised to make a donation to the Drupal Association for every copy sold. Thanks 'bots! — Dries Buytaert Calendar icon September 4, 2008 Clock icon 25 sec read time Tag icon Drupal Drupal Association db
2026-01-13T09:29:38
https://dri.es/ruby-gem-for-mollom
Ruby Gem for Mollom | Dries Buytaert Dries Buytaert Blog Projects Photos About Ruby Gem for Mollom Jan De Poorter of Openminds (my favorite hosting company), wrote a Ruby Gem for Mollom . You can get the Gem from http://mollom.rubyforge.org/ . Jan told me that a Ruby on Rails plugin is on its way, so keep an eye on Jan's development blog . Thanks Jan! — Dries Buytaert Calendar icon May 7, 2008 Clock icon 15 sec read time Tag icon Mollom Mollom plugins db
2026-01-13T09:29:38
https://www.microsoft.com/ko-kr/power-platform/products/power-bi/report-server
Power BI Report Server | Microsoft Power BI This is the Trace Id: 34bf163d756e10b08ba145edaaad4eb9 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power BI Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 파트너 리소스 Power BI 알아보기 Power BI 알아보기 설명서 비즈니스 인텔리전스 주제 데이터 스토리텔링 Power BI 블로그 Power BI 지원 Power BI 커뮤니티 Power BI 다운로드 지금 구입하기 무료로 시작 로그인 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 On-premises reporting with Power BI Report Server</h1> "> Power BI Report Server를 통한 온-프레미스 보고 Power BI Report Server는 현재는 보고를 위한 온-프레미스 솔루션으로 활용하고, 향후 클라우드로 유연하게 전환할 수 있습니다. Power BI Premium에 포함되어 있으므로 사용 약관에 따라 클라우드로 이동할 수 있습니다. 무료 평가판 다운로드 고급 다운로드 옵션 Dynamics 365 Business Central 드롭다운 레이블 개요 작동 방법 리소스 다음 단계 무료 평가판 다운로드 무료 평가판 다운로드 개요 On-premises reporting</h2> "> 온-프레미스 보고 풍부한 대화형 보고서 및 SQL Server Reporting Services 엔터프라이즈 보고 기능에 대한 액세스를 제공합니다. 시각적 데이터를 탐색하고, 페이지를 매긴 보고서를 생성하고, 수천 명의 사용자로 크기를 조정합니다.  현재의 온-프레미스 보고 Power BI Report Server를 사용하여 원하는 방식으로 거버넌스를 적용합니다. 온-프레미스에 BI 환경을 구축하고 조직의 방화벽 뒤에서 보고서를 배포합니다. 미래를 위한 클라우드 지원 포괄적인 클라우드 지원 솔루션의 일부라는 사실을 인지한 상태에서 온-프레미스 보고 인프라를 기반으로 빌드합니다. 지금 바로 클라우드의 Power BI와 호환되는 Power BI Report Server를 사용하세요. 작동 방법 Create, publish, distribute Power BI reports</h2> "> Power BI 보고서 만들기, 게시, 배포 보고서 만들기 Power BI Desktop을 통해 멋진 보고서를 작성합니다. 자유형 끌어서 놓기 캔버스 및 최신 데이터 시각화를 사용하여 데이터를 시각적으로 탐색합니다. Power BI Report Server에 게시 보고서를 Power BI Report Server에 직접 게시합니다. Report Server에 보고서를 직접 게시합니다. 보고서를 폴더에 정리하고, 액세스를 관리하고, 필요에 따라 업데이트합니다. 여러 디바이스에서 배포 및 사용 다양한 비즈니스 요구 사항을 충족하기 위해 사용자가 웹 및 모바일 디바이스에서 사용하는 보고서를 공유합니다. Plans to suit every need</h2> "> 모든 요구에 맞게 계획 조직에 적합한 계획을 찾아 강력한 인사이트를 파악합니다. 가격 책정 보기 리소스  Get started and learn more  </h2> ">  시작 및 자세히 알아보기   이전 슬라이드 다음 슬라이드 Free trial download</h3> "> 무료 평가판 다운로드  Power BI Report Server 무료 평가판으로 온-프레미스 보고를 경험하세요.   지금 다운로드 Documentation</h3> "> 설명서 Power BI Report Server를 시작하는 데 도움이 되는 자세한 설명서에 액세스하세요. 지금 읽어보기 리소스 섹션으로 돌아가기 Take the next step</h2> "> 다음 단계 수행 무료로 Power BI 사용 시작 Microsoft Fabric에서 무료로 Power BI를 체험하고 데이터 내에서 인사이트를 찾고 풍부한 분석 보고서를 공유하세요. 무료로 사용해 보기 연락 요청하기 요청을 제출하여 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락을 받으세요. 요청 보내기 Power Platform 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 © Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: 'Segoe UI'; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} </style> <div class="ow-pro-c-container-modal proactive-chat-hidden" id="proactive-chat-dialog"> <div class="ow-pro-c-button-container"> <button class="ow-pro-c-close-button c-glyph glyph-cancel" aria-label="{{chat-disengagement.aria-label}}" data-bi-cn="Chat_invite_decline" data-bi-bhvr="15" onclick="(window.chatInst.getProactiveChat()).toggle(false)" ></button> </div> <div class="ow-headinghelper-2 ow-pro-c-h-text">{{module.heading}}</div> <div class="c-button f-primary ow-pro-c-p-text"> {{chat-engagement.prompt}} </div> <div class="ow-pro-c-image-container ow-pro-c-d-flex"> <img src="{{module.img-src}}" alt="{{module.img-alt-txt}}" class="ow-pro-c-image" /> <ul data-cta-count="1"> <li class="ow-link-wrapper"> <button id="chatEngagement" aria-label="{{chat-engagement-aria-label}}" class="c-button f-primary ow-pro-c-chat-button" data-bi-cn="Chat_invite_accept" data-bi-bhvr="180" > <span> {{chat-engagement.btn-txt}} </span> </button> </li> </ul> <button id="chatDisengagement" class="ow-pro-c-button-glyph-container ow-pro-c-d-flex" aria-label="{{chat-disengagement.aria-label}}" data-bi-cn="Chat_invite_decline" data-bi-bhvr="15" > <div class="ow-pro-c-no-button">{{chat-disengagement.btn-txt}}</div> <div class="ow-pro-c-no-button c-glyph glyph-cancel"></div> </button> </div> </div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:38
https://developers.google.com/workspace?hl=pl
Google Workspace  |  Google for Developers Przejdź do głównej treści Google Workspace Strona główna Wszystkie produkty Aplikacje Google Workspace Konsola administracyjna Cloud Search Gmail Google Calendar Google Chat Google Classroom Google Docs Google Drive   Google Forms Google Keep Google Meet Google Sheets Google Sites Google Slides Lista zadań Google Google Vault Rozszerzanie, automatyzację i udostępnianie Dodatki Apps Script Komunikatory Aplikacje Dysku Marketplace Zasoby Narzędzia Konsola administracyjna Panel Apps Script konsola Google Cloud APIs Explorer Kreator kart Szkolenia i pomoc Od czego zacząć Codelabs Pomoc dla programistów Aktualizacje Informacje o wersjach Wersje przedpremierowe dla programistów YouTube Newsletter X (Twitter) Blog / English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 Zaloguj się Strona główna Przegląd Eksplorator Przewodniki Pomoc Google Workspace Strona główna Przegląd Eksplorator Przewodniki Pomoc Wszystkie produkty Więcej Zasoby Więcej Strona główna Usługi dla deweloperów Rozpocznij Twórz z pomocą AI Wypróbuj teraz Aplikacje Google Workspace Konsola administracyjna Cloud Search Gmail Google Calendar Google Chat Google Classroom Google Docs Google Drive Google Forms Google Keep Google Meet Google Sheets Google Sites Google Slides Lista zadań Google Google Vault Subskrybowanie wydarzeń Google Workspace Rozszerzanie, automatyzację i udostępnianie Przegląd Dodatki Apps Script Komunikatory Aplikacje Dysku Marketplace Informacje o wersjach Ostatnie zmiany w usługach Indeks informacji o wersji Bądź na bieżąco Zasubskrybuj nasz newsletter Dołącz do Programu dla programistów Odkryj nasz kanał w YouTube Współpraca z Google Workspace Bierz udział w wydarzeniach Google Developers Aplikacje Google Workspace Konsola administracyjna Cloud Search Gmail Google Calendar Google Chat Google Classroom Google Docs Google Drive   Google Forms Google Keep Google Meet Google Sheets Google Sites Google Slides Lista zadań Google Google Vault Rozszerzanie, automatyzację i udostępnianie Dodatki Apps Script Komunikatory Aplikacje Dysku Marketplace Narzędzia Konsola administracyjna Panel Apps Script konsola Google Cloud APIs Explorer Kreator kart Szkolenia i pomoc Od czego zacząć Codelabs Pomoc dla programistów Aktualizacje Informacje o wersjach Wersje przedpremierowe dla programistów YouTube Newsletter X (Twitter) Blog Strona główna Google Workspace Prześlij opinię Zadbaj o dobrą organizację dzięki kolekcji Zapisuj i kategoryzuj treści zgodnie ze swoimi preferencjami.  Tworzenie aplikacji w Google Workspace Dowiedz się, jak ulepszać Google Workspace i wchodzić z nim w interakcje za pomocą kodu. Rozpocznij Poznaj usługi dla programistów Twórz z pomocą AI Ulepszanie aplikacji Google Workspace Niezależnie od tego, czy masz doświadczenie w kodowaniu, możesz ułatwić pracę użytkownikom Google Workspace. Automatyzowanie zadań za pomocą prostego kodu Korzystaj ze skryptu aplikacji, aby tworzyć niestandardowe formuły w Arkuszach, automatyzować działania na podstawie odpowiedzi w formularzu i wykonywać inne czynności. Wyświetl dokumentację Wypróbuj Tworzenie własnych aplikacji Google Chat Utwórz niestandardowe aplikacje Google Chat , aby otrzymywać informacje, wysyłać przypomnienia i automatyzować zadania. Wyświetl dokumentację Wypróbuj Rozszerzanie możliwości aplikacji Google Workspace Twórz dodatki do Google Workspace , aby wyświetlać odpowiednie informacje obok e-maili, plików lub kalendarza użytkownika. Wyświetl dokumentację Wypróbuj Udostępnianie rozwiązań światu Korzystaj z Google Workspace Marketplace , aby docierać do milionów użytkowników i organizacji z Twoimi rozwiązaniami. Wyświetl dokumentację Połączenie z Google Workspace Interfejsy REST API ułatwiają interakcje z Google Workspace w sposób programowy. Zarządzanie plikami i udostępnianiem Korzystaj z interfejsu Drive API , aby automatycznie wyszukiwać pliki, przesyłać dokumenty i zarządzać uprawnieniami do plików. Wyświetl dokumentację Wypróbuj Optymalizacja pracy administracyjnej Użyj interfejsu Admin SDK API , aby programowo zarządzać nowymi i obecnymi użytkownikami, kontrolować aktywność lub otrzymywać alerty dotyczące konta. Wyświetl dokumentację Wypróbuj Zarządzanie ustawieniami i wiadomościami Gmaila Użyj interfejsu Gmail API , aby wysyłać e-maile, aktualizować podpisy e-maili i zarządzać innymi ustawieniami. Wyświetl dokumentację Wypróbuj Zarządzanie kalendarzami i wydarzeniami Użyj interfejsu Calendar API , aby dodawać lub aktualizować wydarzenia w Kalendarzu za pomocą kodu. Wyświetl dokumentację Wypróbuj Chcesz zacząć? Poznaj wszystkie usługi dla deweloperów Wypróbuj narzędzie codelab oglądać samouczki wideo. O ile nie stwierdzono inaczej, treść tej strony jest objęta licencją Creative Commons – uznanie autorstwa 4.0 , a fragmenty kodu są dostępne na licencji Apache 2.0 . Szczegółowe informacje na ten temat zawierają zasady dotyczące witryny Google Developers . Java jest zastrzeżonym znakiem towarowym firmy Oracle i jej podmiotów stowarzyszonych. Ostatnia aktualizacja: 2025-09-27 UTC. Chcesz przekazać coś jeszcze? [[["Łatwo zrozumieć","easyToUnderstand","thumb-up"],["Rozwiązało to mój problem","solvedMyProblem","thumb-up"],["Inne","otherUp","thumb-up"]],[["Brak potrzebnych mi informacji","missingTheInformationINeed","thumb-down"],["Zbyt skomplikowane / zbyt wiele czynności do wykonania","tooComplicatedTooManySteps","thumb-down"],["Nieaktualne treści","outOfDate","thumb-down"],["Problem z tłumaczeniem","translationIssue","thumb-down"],["Problem z przykładami/kodem","samplesCodeIssue","thumb-down"],["Inne","otherDown","thumb-down"]],["Ostatnia aktualizacja: 2025-09-27 UTC."],[],[]] Blog Przeczytaj bloga Google Workspace Developers X (Twitter) Obserwuj @workspacedevs na X (Twitter) Próbki kodu Przejrzyj nasze przykładowe aplikacje lub skopiuj je, aby stworzyć własne Codelabs Skorzystaj z praktycznego i praktycznego kodowania kodu Pliki wideo Zasubskrybuj nasz kanał w YouTube Google Workspace dla programistów Omówienie platformy Usługi dla deweloperów Informacje o wersjach Pomoc dla programistów Warunki usługi Narzędzia Konsola administracyjna Panel Apps Script konsola Google Cloud APIs Explorer Connect Blog Newsletter X (Twitter) YouTube Android Chrome Firebase Google Cloud Platform Google AI Wszystkie usługi Warunki Prywatność Manage cookies English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어
2026-01-13T09:29:38
https://git-scm.com/book/id/v2/Distributed-Git-Summary
Git - Summary About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Memulai 1.1 Tentang Version Control 1.2 Sejarah Singkat Git 1.3 Dasar-dasar Git 1.4 Command Line 1.5 Memasang Git 1.6 Pengaturan Awal Git 1.7 Mendapatkan Bantuan 1.8 Kesimpulan 2. Git Basics 2.1 Mendapatkan Repository Git 2.2 Recording Changes to the Repository 2.3 Viewing the Commit History 2.4 Undoing Things 2.5 Working with Remotes 2.6 Tagging 2.7 Alias Git 2.8 Summary 3. Git Branching 3.1 Branches in a Nutshell 3.2 Basic Branching and Merging 3.3 Branch Management 3.4 Branching Workflows 3.5 Remote Branches 3.6 Rebasing 3.7 Summary 4. Git di Server 4.1 Protokol 4.2 Getting Git on a Server 4.3 Generating Your SSH Public Key 4.4 Setting Up the Server 4.5 Git Daemon 4.6 Smart HTTP 4.7 GitWeb 4.8 GitLab 4.9 Third Party Hosted Options 4.10 Ringkasan 5. Distributed Git 5.1 Distributed Workflows 5.2 Contributing to a Project 5.3 Maintaining a Project 5.4 Summary 6. GitHub 6.1 Pengaturan dan Konfigurasi Akun 6.2 Contributing to a Project 6.3 Maintaining a Project 6.4 Mengelola Organization 6.5 Scripting GitHub 6.6 Ringkasan 7. Git Tools 7.1 Revision Selection 7.2 Interactive Staging 7.3 Stashing and Cleaning 7.4 Signing Your Work 7.5 Searching 7.6 Rewriting History 7.7 Reset Demystified 7.8 Advanced Merging 7.9 Rerere 7.10 Debugging with Git 7.11 Submodules 7.12 Bundling 7.13 Replace 7.14 Credential Storage 7.15 Summary 8. Kostumisasi Git 8.1 Konfigurasi Git 8.2 Git Attributes 8.3 Git Hooks 8.4 An Example Git-Enforced Policy 8.5 Ringkasan 9. Git and Other Systems 9.1 Git as a Client 9.2 Migrating to Git 9.3 Summary 10. Git Internals 10.1 Plumbing and Porcelain 10.2 Git Objects 10.3 Git References 10.4 Packfiles 10.5 The Refspec 10.6 Transfer Protocols 10.7 Maintenance and Data Recovery 10.8 Environment Variables 10.9 Summary A1. Appendix A: Git in Other Environments A1.1 Graphical Interfaces A1.2 Git in Visual Studio A1.3 Git in Eclipse A1.4 Git in Bash A1.5 Git in Zsh A1.6 Git in Powershell A1.7 Summary A2. Appendix B: Embedding Git in your Applications A2.1 Command-line Git A2.2 Libgit2 A2.3 JGit A3. Appendix C: Git Commands A3.1 Setup and Config A3.2 Getting and Creating Projects A3.3 Basic Snapshotting A3.4 Branching and Merging A3.5 Sharing and Updating Projects A3.6 Inspection and Comparison A3.7 Debugging A3.8 Patching A3.9 Email A3.10 External Systems A3.11 Administration A3.12 Plumbing Commands 2nd Edition 5.4 Distributed Git - Summary Summary You should feel fairly comfortable contributing to a project in Git as well as maintaining your own project or integrating other users' contributions. Congratulations on being an effective Git developer! In the next chapter, you’ll learn about how to use the largest and most popular Git hosting service, GitHub. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://www.microsoft.com/ko-kr/power-platform/trusted-cloud
로우코드 보안 및 거버넌스 | Microsoft Power Platform This is the Trace Id: 1fd528ffd8f65516782c8e77b62d36c4 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 리소스 제품별 리소스 Power Platform 알아보기 설명서 Power Platform 항목 무료로 시작 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 Security assurance and governance that scale to your business</h1> "> 비즈니스에 맞게 확장되는 보안 보증 및 거버넌스 Microsoft Power Platform에 통합된 보안 및 거버넌스를 사용하여 로우코드 솔루션을 안전하게 관리합니다. 가이드 투어 둘러보기 백서 다운로드 개요 개요 기능 리소스 시작하기 개요 Peace of mind platform-wide</h2> "> 전체 플랫폼의 안정성 관리형 보안 관리형 작업 관리형 거버넌스 이전 다음 데이터 보호 Microsoft Power Platform의 강력한 데이터 손실 방지 기능을 사용하여 데이터를 손쉽게 보호하여 모든 로우코드 솔루션에 보안 및 규정 준수를 추가합니다. 엔터프라이즈 보안 조건부 액세스, 권한 있는 ID 관리, IP 쿠키 바인딩, 세분화된 앱 액세스 및 완벽한 제어 및 보호를 위한 원활한 액세스 공유를 포함하여 Microsoft Power Platform ID 액세스 관리 기능을 사용하여 엔터프라이즈를 보호하세요. 데이터 강화 Microsoft Power Platform 네트워크 격리 보안으로 데이터를 강화하고 IP 방화벽 및 Azure 가상 네트워크를 활용하여 탁월한 보호 및 제어를 수행합니다. 데이터 개인 정보 보호 보장 Microsoft Power Platform 미사용 암호화, CMK(고객 관리형 키) 및 lockbox 기능을 사용하여 데이터 개인 정보 보호 및 보안을 보장하여 탁월한 제어 및 보호를 제공합니다. 개발 프로세스 향상 원활하고 효율적인 앱 제공을 위해 파이프라인, 솔루션 탐색기, 카탈로그 및 적용 가능한 솔루션 검사기를 사용하여 보편화된 ALM을 제공하는 Microsoft Power Platform 애플리케이션 수명 주기 관리 도구를 사용하여 개발 프로세스를 향상하세요. 인사이트 얻기 및 제어 사전 예방적이고 합리적인 의사 결정을 위해 App Insights로 원활한 원격 분석 내보내기를 포함하여 Microsoft Power Platform 모니터링 기능을 사용하여 인사이트를 얻고 제어할 수 있습니다. 원활한 작업 보장 Microsoft Power Platform의 고가용성, 재해 복구, 확장된 백업 보존 기능은 원활한 작업의 안정성을 보장하며 더욱 안심할 수 있습니다. 거버넌스 간소화 Power Platform 관리 센터 한 곳에서 더 높은 가시성과 쉽게 액세스할 수 있는 컨트롤을 통해 통합 환경을 통해 거버넌스를 간소화하세요. 채택 향상 솔루션 개발자를 위한 원활하고 매력적인 시작을 지원하는 작성자 온보딩을 포함하여 Microsoft Power Platform 거버넌스 기능을 통해 채택을 손쉽게 향상하세요. 가시성 잠금 해제 어드바이저, 주간 인사이트 및 원활한 인벤토리를 통해 Microsoft Power Platform 자산의 가시성을 확보하고 데이터 기반 의사 결정을 위해 Azure Data Lake로 내보냅니다. 환경 관리 전략 최적화 환경 수명 주기 관리, 그룹 및 규칙, 간소화되고 효율적인 제어를 위한 라우팅을 포함하여 Microsoft Power Platform 환경 거버넌스 기능을 사용하여 환경 관리 전략을 최적화합니다. 탭으로 돌아가기 기능 Governance that meets business demands</h2> "> 비즈니스 요구를 충족하는 거버넌스 Power Platform 프리미엄 기본 기능인 관리형 환경을 사용하여 더 적은 시간 내에 더 많은 성과를 달성하세요. 가시성 향상 더 많은 제어 적은 노력 이전 다음 Know your low-code footprint</h3> "> 로우코드 사용 공간 파악 솔루션을 어떻게 빌드하고, 솔루션에서 어떤 데이터를 사용하고, 이 데이터를 누가 사용하는지에 대한 유용한 인사이트를 확보하세요. 로우코드 사용 공간 파악 Take command of low-code assets</h3> "> 로우코드 자산 관리 앱 공유를 통제하고, 솔루션이 보안 규칙을 준수하도록 지원하며, 맞춤형 환영 메시지로 메이커 온보딩 경험을 제공하세요. Simplify low-code governance</h3> "> 로우코드 거버넌스 간소화 IT 관리자에게 관리형 환경을 쉽게 사용 설정하고 구성할 수 있는 도구를 제공하면 로우코드 자산의 선제적 거버넌스를 확보할 수 있습니다. 탭으로 돌아가기 Make security and governance easier for admins</h2> "> 관리자를 위한 보안 및 거버넌스 간소화 신뢰할 수 있는 기본 제공 보안 일부 Microsoft Cloud 및 Microsoft Power Platform의 기반이 되는 보안 기능을 이용하여 비즈니스를 보호합니다. 규모에 맞게 관리 직관적인 단일 인터페이스로 관리자 리소스를 제어하고 모든 구성 및 보안 정책을 쉽게 실행하며 작업을 모니터할 수 있습니다. 진행에 따른 모니터링 종합적인 감사 내역을 생성하는 기본 제공 분석이나 사용자 지정 분석을 통해 전체 배포에 대한 가시성을 확보하세요. 규정 준수 요구 충족 데이터 관리를 위한 글로벌, 지역, 산업별 요구 사항을 준수합니다. Learn how to secure your low-code solutions</h2> "> 로우코드 솔루션을 보호하는 방법 알아보기 Microsoft Power Platform 보안 및 거버넌스를 사용하도록 설정하는 모범 사례를 살펴봅니다. 학습 시작 리소스 Microsoft Power Platform security guidance</h2> "> Microsoft Power Platform 보안 지침 이전 슬라이드 다음 슬라이드 Strategies and tools for securing and governing agents</h3> "> 백서 에이전트 보안 및 관리를 위한 전략 및 도구 에이전트의 거버넌스, 관리 및 데이터 보호를 지원하는 기능에 대해 자세히 알아보세요. 백서 읽기 Power BI security</h3> "> 엔드투엔드 보안 Power BI 보안 Microsoft Power BI의 엔드투엔드 보안 및 보호를 통해 분석 데이터를 안전하게 보호하세요. 자세히 알아보기 Microsoft Copilot Studio security</h3> "> 사용자 지정 에이전트 보호 Microsoft Copilot Studio 보안 보안 우선 사고방식을 사용하여 에이전트를 빌드합니다. 자세히 알아보기 Essential security guidance</h3> "> 자습서 필수 보안 지침 보안, 거버넌스, 규정 준수에 관한 자습서, 문서, 모범 사례를 찾아보세요. 자세히 알아보기 Adoption Strategy Guide</h3> "> 단계별 채택 채택 전략 가이드 채택 전략을 정의하는 방법에 관한 단계별 가이드를 이용해 Microsoft Power Platform을 구현하세요. 자세히 알아보기 리소스 섹션으로 돌아가기 다음 단계 수행 Microsoft Power Platform 사용해 보기 각 제품에 대한 무료 평가판이 포함된 로우코드 도구 Microsoft Power Platform 제안을 살펴보세요. 평가판 시작 연락 요청하기 요청을 제출하여 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락을 받으세요. 요청 보내기 로우코드 자산 관리 로우코드 거버넌스 간소화 Power Platform 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 © Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: 'Segoe UI'; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} </style> <div class="ow-pro-c-container-modal proactive-chat-hidden" id="proactive-chat-dialog"> <div class="ow-pro-c-button-container"> <button class="ow-pro-c-close-button c-glyph glyph-cancel" aria-label="{{chat-disengagement.aria-label}}" data-bi-cn="Chat_invite_decline" data-bi-bhvr="15" onclick="(window.chatInst.getProactiveChat()).toggle(false)" ></button> </div> <div class="ow-headinghelper-2 ow-pro-c-h-text">{{module.heading}}</div> <div class="c-button f-primary ow-pro-c-p-text"> {{chat-engagement.prompt}} </div> <div class="ow-pro-c-image-container ow-pro-c-d-flex"> <img src="{{module.img-src}}" alt="{{module.img-alt-txt}}" class="ow-pro-c-image" /> <ul data-cta-count="1"> <li class="ow-link-wrapper"> <button id="chatEngagement" aria-label="{{chat-engagement-aria-label}}" class="c-button f-primary ow-pro-c-chat-button" data-bi-cn="Chat_invite_accept" data-bi-bhvr="180" > <span> {{chat-engagement.btn-txt}} </span> </button> </li> </ul> <button id="chatDisengagement" class="ow-pro-c-button-glyph-container ow-pro-c-d-flex" aria-label="{{chat-disengagement.aria-label}}" data-bi-cn="Chat_invite_decline" data-bi-bhvr="15" > <div class="ow-pro-c-no-button">{{chat-disengagement.btn-txt}}</div> <div class="ow-pro-c-no-button c-glyph glyph-cancel"></div> </button> </div> </div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:38
https://support.microsoft.com/th-th/microsoft-store-and-billing
Microsoft Store และความช่วยเหลือเกี่ยวกับการเรียกเก็บเงิน ข้ามไปที่เนื้อหาหลัก Microsoft การสนับสนุน การสนับสนุน การสนับสนุน หน้าแรก Microsoft 365 Office ผลิตภัณฑ์ Microsoft 365 Outlook Microsoft Teams OneDrive Microsoft Copilot OneNote Windows เพิ่มเติม ... อุปกรณ์ Surface อุปกรณ์เสริมของพีซี Xbox การเล่นเกมบนพีซี HoloLens Surface Hub การรับประกันฮาร์ดแวร์ บัญชีและการเรียกเก็บเงิน บัญชี Microsoft Store และการเรียกเก็บเงิน แหล่งข้อมูล มีอะไรใหม่ ฟอรั่มชุมชน ผู้ดูแลระบบ Microsoft 365 พอร์ทัลธุรกิจขนาดเล็ก นักพัฒนา การศึกษา รายงานการหลอกหลวงการสนับสนุน ความปลอดภัยของผลิตภัณฑ์ เพิ่มเติม ซื้อ Microsoft 365 Microsoft ทั้งหมด Global Microsoft 365 Teams Copilot Windows Surface Xbox การสนับสนุน ซอฟต์แวร์ ซอฟต์แวร์ Windows Apps AI OneDrive Outlook OneNote Microsoft Teams พีซีและอุปกรณ์ พีซีและอุปกรณ์ เลือกซื้อ Xbox อุปกรณ์เสริมพีซี ความบันเทิง ความบันเทิง Xbox และเกม เกมพีซี ธุรกิจ ธุรกิจ การรักษาความปลอดภัยของ Microsoft Azure Dynamics 365 Microsoft 365 สำหรับธุรกิจ Microsoft Industry Microsoft Power Platform Windows 365 นักพัฒนาและไอที นักพัฒนาและไอที นักพัฒนาของ Microsoft Microsoft Learn รองรับแอปตลาด AI Microsoft Tech Community Microsoft Marketplace Visual Studio Marketplace Rewards อื่น ๆ อื่น ๆ การดาวน์โหลดฟรีและความปลอดภัย การศึกษา Licensing ดูแผนผังเว็บไซต์ ค้นหา ต้องการความช่วยเหลือ ไม่มีผลลัพธ์ ยกเลิก ลงชื่อเข้าใช้ ลงชื่อเข้าใช้ด้วย Microsoft ลงชื่อเข้าใช้หรือสร้างบัญชี สวัสดี เลือกบัญชีอื่น คุณมีหลายบัญชี เลือกบัญชีที่คุณต้องการลงชื่อเข้าใช้ Microsoft Store และความช่วยเหลือเกี่ยวกับการเรียกเก็บเงิน จัดการการสมัครใช้งาน ส่งคืนการคืนเงิน & ตัวเลือกการชําระเงิน ประวัติการสั่งซื้อ บัตรกํานวม ติดตั้ง Microsoft 365 Microsoft Store บน Windows สํารวจบริการของ Microsoft Store ตั้งแต่การจัดส่งฟรีและการคืนสู่การป้องกันราคา 60 วันของเรา เราพร้อมช่วยคุณทําสิ่งต่างๆ ได้มากขึ้นด้วยอุปกรณ์ ซอฟต์แวร์ เกม และทรัพยากรที่ดีที่สุด ​ ตรวจสอบสิ่งที่ Microsoft Store มีให้: การสนับสนุนการช้อปปิ้งและการซื้อ   |   การตั้งค่าและการฝึกอบรมผลิตภัณฑ์   |   การสนับสนุนสําหรับธุรกิจขนาดเล็ก การสนับสนุนการช้อปปิ้งและการซื้อ บริการของ Microsoft Store ยังไม่พร้อมใช้งานในบางภูมิภาค หากต้องการดูว่ามีตัวเลือกใดบ้างที่คุณสามารถใช้งานได้ ให้เลือกประเทศหรือภูมิภาคของคุณจากรายการดรอปดาวน์ด้านล่าง และหากไม่มีอยู่ในรายการ ให้เลือก ภูมิภาคอื่นๆ . เลือกภูมิภาคใหม่ของคุณ สหรัฐอเมริกา ออสเตรเลีย แคนาดา (อังกฤษ) แคนาดา (ฝรั่งเศส) สหราชอาณาจักร ภูมิภาคอื่นๆ ทําไมจึงต้องซื้อที่ Microsoft Store ช้อปปิ้งที่สะดวกและง่ายดาย จัดส่งฟรี 2-3 วัน รับคืนฟรี 60 วัน การป้องกันราคา 60 วัน ตัวเลือกการชําระเงินที่ยืดหยุ่น เงินสดสําหรับอุปกรณ์ที่คุณใช้ การค้าและรีไซเคิล ส่วนลดและข้อเสนอพิเศษ สําหรับนักเรียน ผู้ปกครอง และนักการศึกษา สําหรับเจ้าหน้าที่ทหาร การป้องกันอุปกรณ์เพิ่มเติม แผนการป้องกันของ Microsoft Complete เราสามารถช่วยคุณค้นหาสิ่งที่คุณต้องการ ความช่วยเหลือในการสนับสนุนการขาย Disability Answer Desk ซื้อสินค้ากับบริษัทร่วมของ ASL ทําไมจึงต้องซื้อที่ Microsoft Store ช้อปปิ้งที่สะดวกและง่ายดาย จัดส่งฟรี รับคืนฟรี 60 วัน การป้องกันราคา 60 วัน เงินสดสําหรับอุปกรณ์ที่คุณใช้ การค้าและรีไซเคิล ส่วนลดและข้อเสนอพิเศษ สําหรับนักเรียน ผู้ปกครอง และนักการศึกษา เราสามารถช่วยคุณค้นหาสิ่งที่คุณต้องการ ความช่วยเหลือในการสนับสนุนการขาย Disability Answer Desk ทําไมจึงต้องซื้อที่ Microsoft Store ช้อปปิ้งที่สะดวกและง่ายดาย จัดส่งฟรี รับคืนฟรี 60 วัน การป้องกันราคา 60 วัน เงินสดสําหรับอุปกรณ์ที่คุณใช้ การค้าและรีไซเคิล ส่วนลดและข้อเสนอพิเศษ สําหรับนักเรียน ผู้ปกครอง และนักการศึกษา การป้องกันอุปกรณ์เพิ่มเติม แผนการป้องกันของ Microsoft Complete เราสามารถช่วยคุณค้นหาสิ่งที่คุณต้องการ หากคุณมีคําถามก่อนซื้อ แชทกับผู้เชี่ยวชาญผลิตภัณฑ์หรือจองการนัดหมายการช้อปปิ้ง ความช่วยเหลือในการสนับสนุนการขาย ทําไมจึงต้องซื้อที่ Microsoft Store ช้อปปิ้งที่สะดวกและง่ายดาย จัดส่งฟรี รับคืนฟรี 60 วัน การป้องกันราคา 60 วัน เงินสดสําหรับอุปกรณ์ที่คุณใช้ การค้าและรีไซเคิล ส่วนลดและข้อเสนอพิเศษ สําหรับนักเรียน ผู้ปกครอง และนักการศึกษา การป้องกันอุปกรณ์เพิ่มเติม แผนการป้องกันของ Microsoft Complete ทําไมจึงต้องซื้อที่ Microsoft Store ช้อปปิ้งที่สะดวกและง่ายดาย จัดส่งฟรี รับคืนฟรี 60 วัน การป้องกันราคา 60 วัน เงินสดสําหรับอุปกรณ์ที่คุณใช้ การค้าและรีไซเคิล ส่วนลดและข้อเสนอพิเศษ สําหรับนักเรียน ผู้ปกครอง และนักการศึกษา เราสามารถช่วยคุณค้นหาสิ่งที่คุณต้องการ ความช่วยเหลือในการสนับสนุนการขาย Disability Answer Desk ทําไมจึงต้องซื้อที่ Microsoft Store เราสามารถช่วยคุณค้นหาสิ่งที่คุณต้องการ ถ้าคุณมีคําถามก่อนที่คุณจะซื้อ ให้สนทนากับผู้เชี่ยวชาญผลิตภัณฑ์ ความช่วยเหลือในการสนับสนุนการขาย เรียกดู Microsoft Store The Microsoft Store การตั้งค่าและการฝึกอบรมผลิตภัณฑ์ บริการของ Microsoft Store บางรายการที่แสดงที่นี่มีให้บริการในบางภูมิภาคเท่านั้น เมื่อต้องการดูตัวเลือกของคุณ ให้เลือกประเทศหรือภูมิภาคของคุณจากรายการดรอปดาวน์ด้านล่าง: เลือกภูมิภาคใหม่ของคุณ สหรัฐอเมริกา ออสเตรเลีย แคนาดา (อังกฤษ) แคนาดา (ฝรั่งเศส) สหราชอาณาจักร ภูมิภาคอื่นๆ แหล่งข้อมูลวิธีใช้และการเรียนรู้ ดูแหล่งข้อมูลการสนับสนุนผลิตภัณฑ์ของเราเพื่อช่วยให้คุณค้นหาคําตอบที่คุณต้องการ อุปกรณ์ Surface  |   Xbox Microsoft 365  |   Windows แหล่งข้อมูลวิธีใช้และการเรียนรู้ แหล่งข้อมูลการสนับสนุนผลิตภัณฑ์ของเราอยู่ที่นี่เพื่อช่วยคุณค้นหาคําตอบที่คุณต้องการ อุปกรณ์ Surface  |   Xbox Microsoft 365  |   Windows แหล่งข้อมูลวิธีใช้และการเรียนรู้ ดูแหล่งข้อมูลการสนับสนุนผลิตภัณฑ์ของเราเพื่อช่วยให้คุณค้นหาคําตอบที่คุณต้องการ อุปกรณ์ Surface  |   Xbox Microsoft 365  |   Windows แหล่งข้อมูลวิธีใช้และการเรียนรู้ ดูแหล่งข้อมูลการสนับสนุนผลิตภัณฑ์ของเราเพื่อช่วยให้คุณค้นหาคําตอบที่คุณต้องการ อุปกรณ์ Surface  |   Xbox Microsoft 365  |   Windows แหล่งข้อมูลวิธีใช้และการเรียนรู้ ดูแหล่งข้อมูลการสนับสนุนผลิตภัณฑ์ของเราเพื่อช่วยให้คุณค้นหาคําตอบที่คุณต้องการ อุปกรณ์ Surface  |   Xbox Microsoft 365  |   Windows แหล่งข้อมูลวิธีใช้และการเรียนรู้ ดูแหล่งข้อมูลการสนับสนุนผลิตภัณฑ์ของเราเพื่อช่วยให้คุณค้นหาคําตอบที่คุณต้องการ อุปกรณ์ Surface  |   Xbox Microsoft 365  |   Windows การสนับสนุนสําหรับธุรกิจขนาดเล็ก หากต้องการดูว่ามีตัวเลือกการสนับสนุนสําหรับธุรกิจขนาดเล็กใดบ้างในภูมิภาคของคุณ ให้เลือกประเทศหรือภูมิภาคของคุณจากรายการดรอปดาวน์ด้านล่าง: เลือกภูมิภาคใหม่ของคุณ สหรัฐอเมริกา ออสเตรเลีย แคนาดา (อังกฤษ) แคนาดา (ฝรั่งเศส) สหราชอาณาจักร ภูมิภาคอื่นๆ แหล่งข้อมูลสําหรับธุรกิจขนาดเล็กของคุณ รับคําแนะนํา การฝึกอบรมฟรี ผลิตภัณฑ์ และเครื่องมือเพื่อช่วยให้ธุรกิจของคุณประสบความสําเร็จ ความช่วยเหลือและการเรียนรู้สําหรับธุรกิจขนาดเล็ก ศูนย์ทรัพยากรสําหรับธุรกิจขนาดเล็ก แหล่งข้อมูลสําหรับธุรกิจขนาดเล็กของคุณ รับคําแนะนํา การฝึกอบรมฟรี ผลิตภัณฑ์ และเครื่องมือเพื่อช่วยให้ธุรกิจของคุณประสบความสําเร็จ ความช่วยเหลือและการเรียนรู้สําหรับธุรกิจขนาดเล็ก ศูนย์ทรัพยากรสําหรับธุรกิจขนาดเล็ก แหล่งข้อมูลสําหรับธุรกิจขนาดเล็กของคุณ รับคําแนะนํา การฝึกอบรมฟรี ผลิตภัณฑ์ และเครื่องมือเพื่อช่วยให้ธุรกิจของคุณประสบความสําเร็จ ความช่วยเหลือและการเรียนรู้สําหรับธุรกิจขนาดเล็ก ศูนย์ทรัพยากรธุรกิจขนาดเล็ก แหล่งข้อมูลสําหรับธุรกิจขนาดเล็กของคุณ ตั้งแต่การประเมินความต้องการของธุรกิจของคุณไปจนถึงการช่วยเหลือในการตั้งค่าและการแก้ไขปัญหา เราพร้อมให้ความช่วยเหลือคุณ รับคําแนะนํา การฝึกอบรมฟรี ผลิตภัณฑ์ และเครื่องมือเพื่อช่วยให้ธุรกิจของคุณประสบความสําเร็จ ความช่วยเหลือและการเรียนรู้สําหรับธุรกิจขนาดเล็ก ศูนย์ทรัพยากรธุรกิจขนาดเล็ก แหล่งข้อมูลสําหรับธุรกิจขนาดเล็กของคุณ รับคําแนะนํา การฝึกอบรมฟรี ผลิตภัณฑ์ และเครื่องมือเพื่อช่วยให้ธุรกิจของคุณประสบความสําเร็จ ความช่วยเหลือและการเรียนรู้สําหรับธุรกิจขนาดเล็ก ศูนย์ทรัพยากรสําหรับธุรกิจขนาดเล็ก แหล่งข้อมูลสําหรับธุรกิจขนาดเล็กของคุณ รับคําแนะนํา การฝึกอบรมฟรี ผลิตภัณฑ์ และเครื่องมือเพื่อช่วยให้ธุรกิจของคุณประสบความสําเร็จ ความช่วยเหลือและการเรียนรู้สําหรับธุรกิจขนาดเล็ก มีอะไรใหม่ Surface Pro Surface Laptop Copilot สำหรับองค์กร Copilot สำหรับใช้ส่วนตัว Microsoft 365 สำรวจผลิตภัณฑ์ Microsoft แอป Windows 11 Microsoft Store โพรไฟล์บัญชีผู้ใช้ ศูนย์ดาวน์โหลด คืนสินค้า ติดตามการสั่งซื้อ การศึกษา Microsoft Education อุปกรณ์สำหรับการศึกษา Microsoft Teams สำหรับการศึกษา Microsoft 365 Education Office Education การฝึกอบรมและการพัฒนานักการศึกษา ข้อตกลงสำหรับนักศึกษาและผู้ปกครอง Azure สำหรับนักศึกษา ธุรกิจ การรักษาความปลอดภัยของ Microsoft Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams นักพัฒนาและไอที นักพัฒนาของ Microsoft Microsoft Learn รองรับแอปตลาด AI Microsoft Tech Community Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio บริษัท ตำแหน่งงาน ข่าวบริษัท สิทธิ์ส่วนบุคคลที่ Microsoft นักลงทุน ความยั่งยืน ไทย (ไทย) ไอคอนการเลือกไม่รับตัวเลือกความเป็นส่วนตัวของคุณ ตัวเลือกความเป็นส่วนตัวของคุณ ไอคอนการเลือกไม่รับตัวเลือกความเป็นส่วนตัวของคุณ ตัวเลือกความเป็นส่วนตัวของคุณ ความเป็นส่วนตัวด้านสุขภาพของผู้บริโภค ติดต่อ Microsoft ความเป็นส่วนตัว จัดการคุกกี้ ข้อตกลงการใช้งาน เครื่องหมายการค้า เกี่ยวกับโฆษณาของเรา © Microsoft 2026
2026-01-13T09:29:38
https://git-scm.com/book/sv/v2/Kom-ig%c3%a5ng-Kommandoraden
Git - Kommandoraden About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Kom igång 1.1 Om versionshantering 1.2 En kort historik av Git 1.3 Vad är Git? 1.4 Kommandoraden 1.5 Installera Git 1.6 Använda Git för första gången 1.7 Få hjälp 1.8 Sammanfattning 2. Grunder i Git 2.1 Skaffa ett Git-förvar 2.2 Spara ändringar till förvaret 2.3 Visa historiken 2.4 Ångra saker 2.5 Jobba med fjärrförvar 2.6 Taggning 2.7 Git alias 2.8 Sammanfattning 3. Git förgreningar 3.1 Grenar i ett nötskal 3.2 Grundläggande förgrening och sammanslagning 3.3 Hantera grenar 3.4 Arbetsflöde med grenar 3.5 Fjärrgrenar 3.6 Grenflytt 3.7 Sammanfattning 4. Git på servern 4.1 Protokollen 4.2 Skaffa Git på en server 4.3 Generera din publika SSH-nyckel 4.4 Konvigurera servern 4.5 Git Daemonen 4.6 Smart HTTP 4.7 GitWeb 4.8 GitLab 4.9 Alternativ tillhandahållna av tredje part 4.10 Sammanfattning 5. Distribuerade Git 5.1 Distribuerade arbetsflöden 5.2 Medverka i ett projekt 5.3 Underhålla ett projekt 5.4 Sammanfattning 6. GitHub 6.1 Account Setup and Configuration 6.2 Contributing to a Project 6.3 Maintaining a Project 6.4 Managing an organization 6.5 Scripting GitHub 6.6 Summary 7. Git Tools 7.1 Revision Selection 7.2 Interactive Staging 7.3 Stashing and Cleaning 7.4 Signing Your Work 7.5 Searching 7.6 Rewriting History 7.7 Reset Demystified 7.8 Advanced Merging 7.9 Rerere 7.10 Debugging with Git 7.11 Submodules 7.12 Bundling 7.13 Replace 7.14 Credential Storage 7.15 Summary 8. Customizing Git 8.1 Git Configuration 8.2 Git Attributes 8.3 Git Hooks 8.4 An Example Git-Enforced Policy 8.5 Summary 9. Git and Other Systems 9.1 Git as a Client 9.2 Migrating to Git 9.3 Summary 10. Git Internals 10.1 Plumbing and Porcelain 10.2 Git Objects 10.3 Git References 10.4 Packfiles 10.5 The Refspec 10.6 Transfer Protocols 10.7 Maintenance and Data Recovery 10.8 Environment Variables 10.9 Summary A1. Bilaga A: Git in Other Environments A1.1 Graphical Interfaces A1.2 Git in Visual Studio A1.3 Git in Eclipse A1.4 Git in Bash A1.5 Git in Zsh A1.6 Git in PowerShell A1.7 Summary A2. Bilaga B: Embedding Git in your Applications A2.1 Command-line Git A2.2 Libgit2 A2.3 JGit A2.4 go-git A2.5 Dulwich A3. Bilaga C: Git Commands A3.1 Setup and Config A3.2 Getting and Creating Projects A3.3 Basic Snapshotting A3.4 Branching and Merging A3.5 Sharing and Updating Projects A3.6 Inspection and Comparison A3.7 Debugging A3.8 Patching A3.9 Email A3.10 External Systems A3.11 Administration A3.12 Plumbing Commands 2nd Edition 1.4 Kom igång - Kommandoraden Kommandoraden Det finns en mängd olika sätt att använda Git på. Det finns dels de ursprungliga kommandoradsverktygen och det finns många grafiska användargränssnit med varierande möjligheter. För denna boken kommer vi att använda Git från kommandoraden. För det första är kommandoraden det enda sättet att kunna köra alla Gitkommandon — de flesta grafiska användargränssnitten implementerar endast en delmängd av Gits funktionalitet för enkelhetens skull. Om du kan köra kommandoradsversionen, kan du förmodligen också lista ut hur man använder den grafiska versionen, medan det omvända inte nödvändigtvis är lika lätt. Slutligen, medan valet av grafisk klient är en smakfråga kommer alla användre att ha kommandoradsverktygen installerade och tillgängliga. Så vi förutsätter att du vet hur man öppnar terminalen i macOS eller kommandotolken eller PowerShell i Windows. Om du inte vet vad vi pratar om här, bör du stanna upp och snabbt ta reda på detta, så att du kan följa med i resten av exemplena och beskrivningarna i boken. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://dri.es/tag/trends
Trends | Dries Buytaert Dries Buytaert Blog Projects Photos About Trends 2025 The Orchestration Shift Featured October 29th 2023 The new old: Jamstack and MACH's journey towards traditional CMS concepts Featured December 27th The future of marketing technology: platforms plus point solutions August 2nd Artificial Intelligence, the future of Content Management and the Web Featured February 27th 2022 A Composable Digital Experience Manifesto Featured October 6th 2021 The long-term, world-changing promise of the blockchain January 4th 2020 Three trends driving today's "Flash Digital Transformation" July 14th 2019 Low-code and no-code tools continue to drive the web forward August 19th 2018 The rise of headless commerce October 31st 2016 Should we prioritize technological advances? February 15th Fast tracking life-saving innovations January 25th 2015 From B2C to B2One November 12th Digital Distributors: The Supermarkets of the Web September 4th The post-browser era of the web is coming June 9th Content platform + user platform = BOOM! March 31st The Big Reverse of the Web Featured March 10th The future of software is data-driven January 8th 2014 The end of ownership: the zero-marginal-cost economy September 7th From content management to digital experience management January 15th 2010 Drupal in a tablet world October 7th 2007 Linux on the desktop May 1st 2006 SharePoint 2007 December 22nd Community in the 21st century December 11th The future of the internet November 30th Free data (free as in open) July 28th Complexity is a disease Featured May 3rd Traditional media to embrace citizen journalism? April 24th Content is NOT king January 31st db
2026-01-13T09:29:38
https://git-scm.com/book/uk/v2/%d0%a0%d0%be%d0%b7%d0%bf%d0%be%d0%b4%d1%96%d0%bb%d0%b5%d0%bd%d0%b8%d0%b9-Git-%d0%9f%d1%96%d0%b4%d1%81%d1%83%d0%bc%d0%be%d0%ba
Git - Підсумок About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Вступ 1.1 Про систему контролю версій 1.2 Коротка історія Git 1.3 Основи Git 1.4 Git, зазвичай, тільки додає дані 1.5 Три стани 1.6 Командний рядок 1.7 Інсталяція Git 1.8 Початкове налаштування Git 1.9 Отримання допомоги 1.10 Підсумок 2. Основи Git 2.1 Створення Git-сховища 2.2 Запис змін до репозиторія 2.3 Перегляд історії комітів 2.4 Скасування речей 2.5 Взаємодія з віддаленими сховищами 2.6 Теґування 2.7 Псевдоніми Git 2.8 Підсумок 3. Галуження в git 3.1 Гілки у кількох словах 3.2 Основи галуження та зливання 3.3 Управління гілками 3.4 Процеси роботи з гілками 3.5 Віддалені гілки 3.6 Перебазовування 3.7 Підсумок 4. Git на сервері 4.1 Протоколи 4.2 Отримання Git на сервері 4.3 Генерація вашого публічного ключа SSH 4.4 Налаштування Серверу 4.5 Демон Git 4.6 Розумний HTTP 4.7 GitWeb 4.8 GitLab 4.9 Варіанти стороннього хостингу 4.10 Підсумок 5. Розподілений Git 5.1 Розподілені процеси роботи 5.2 Внесення змін до проекту 5.3 Супроводжування проекту 5.4 Підсумок 6. GitHub 6.1 Створення та налаштування облікового запису 6.2 Як зробити внесок до проекту 6.3 Супроводжування проєкту 6.4 Керування організацією 6.5 Скриптування GitHub 6.6 Підсумок 7. Інструменти Git 7.1 Вибір ревізій 7.2 Інтерактивне індексування 7.3 Ховання та чищення 7.4 Підписання праці 7.5 Пошук 7.6 Переписування історії 7.7 Усвідомлення скидання (reset) 7.8 Складне злиття 7.9 Rerere 7.10 Зневадження з Git 7.11 Підмодулі 7.12 Пакування 7.13 Заміна 7.14 Збереження посвідчення (credential) 7.15 Підсумок 8. Налаштування Git 8.1 Конфігурація Git 8.2 Атрибути Git 8.3 Гаки (hooks) Git 8.4 Приклад політики користування виконуваної Git-ом 8.5 Підсумок 9. Git and Other Systems 9.1 Git як клієнт 9.2 Міграція на Git 9.3 Підсумок 10. Git зсередини 10.1 Кухонні та парадні команди 10.2 Об’єкти Git 10.3 Посилання Git 10.4 Файли пакунки 10.5 Специфікація посилань (refspec) 10.6 Протоколи передачі 10.7 Супроводження та відновлення даних 10.8 Змінні середовища 10.9 Підсумок A1. Додаток A: Git в інших середовищах A1.1 Графічні інтерфейси A1.2 Git у Visual Studio A1.3 Git в Eclipse A1.4 Git у Bash A1.5 Git у Zsh A1.6 Git у Powershell A1.7 Підсумок A2. Додаток B: Вбудовування Git у ваші застосунки A2.1 Git з командного рядка A2.2 Libgit2 A2.3 JGit A2.4 go-git A3. Додаток C: Команди Git A3.1 Налаштування та конфігурація A3.2 Отримання та створення проектів A3.3 Базове збереження відбитків A3.4 Галуження та зливання A3.5 Поширення й оновлення проектів A3.6 Огляд та порівняння A3.7 Зневаджування A3.8 Латання (patching) A3.9 Електронна пошта A3.10 Зовнішні системи A3.11 Адміністрування A3.12 Кухонні команди 2nd Edition 5.4 Розподілений Git - Підсумок Підсумок Ви маєте відчувати себе досить комфортно, пропонуючи зміни до проекту в Git, так само як і супроводжуючи власний проект чи інтегруючи зміни інших користувачів. Вітаємо серед ефективних Git розробників! В наступному розділі ви дізнаєтесь як використовувати найбільший та найпопулярніший Git хостинг — GitHub. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://www.linkedin.com/products/shufti-pro-shufti/?trk=products_seo_search
Shufti | LinkedIn Skip to main content LinkedIn Shufti in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Shufti Identity Verification Software by Shufti See who's skilled in this Add as skill Learn more Report this product About Shufti is a leading global identity verification provider that helps businesses grow, meet compliance obligations and protect against fraud. Our solutions verify identities, documents, and accounts, covering KYC, KYI, KYB, and AML requirements. Our identity verification solutions are trusted worldwide by 1000+ businesses belonging to industries varying from finance to insurance and e-commerce. Shufti extends document verification in 150+ languages, with the ability to validate 10,000+ IDs in 240+ countries and territories within seconds. By adopting AI-focused automation and the latest technological tools, Shufti secures business processes like client account opening, strong authentication and continuous KYC through award-winning identity verification services with an accuracy of up to 99%. This product is intended for Compliance Specialist Compliance Officer Compliance Manager Chief Technology Officer Chief Product Officer Digital Transformation Officer System Integration Specialist Chief Software Engineer Senior Risk Analyst Chief Information Officer Media Products media viewer No more previous content Ensure Shufti regular compliance Facial biometrics Fast ID eIDV User AML screening No more next content Featured customers of Shufti PENN Interactive Gambling Facilities and Casinos 26,253 followers Digicel Group Telecommunications 115,815 followers Al Baraka Group (ABG) Investment Banking 59,269 followers Trading 212 Financial Services 41,589 followers Zurich Insurance Insurance 1,077,214 followers Similar products Microsoft Entra Verified ID Microsoft Entra Verified ID Identity Verification Software Sumsub Sumsub Identity Verification Software Signzy Signzy Identity Verification Software HyperVerge HyperVerge Identity Verification Software Persona's Unified Identity Platform Persona's Unified Identity Platform Identity Verification Software Veriff Veriff Identity Verification Software Sign in to see more Show more Show less Shufti products Document Verification Document Verification Identity Verification Software e-Signature e-Signature Identity Verification Software Facial Biometrics Facial Biometrics Identity Verification Software Fast ID Fast ID Identity Verification Software Multi-factor Authentication Multi-factor Authentication Identity Verification Software Transaction Trust Screening Transaction Trust Screening Identity Verification Software User AML Screening User AML Screening Identity Verification Software User Risk Assessment User Risk Assessment Identity Verification Software Video KYC Video KYC Identity Verification Software Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language
2026-01-13T09:29:38
https://dri.es/node/2471
Half a billion spam attempts blocked | Dries Buytaert Dries Buytaert Blog Projects Photos About Half a billion spam attempts blocked We've just reached another huge milestones at Mollom : we blocked our 500,000,000th spam message! Furthermore, Mollom is currently protecting close to 50,000 active websites, that is a 75% increase since the beginning of the year 8 months ago. It's sad that our websites get bombarded by idiots. But the fact that Mollom blocked half a billion of their attempts, actually makes me feel a lot better! Screenshot of the scorecard section on Molom.com. — Dries Buytaert Calendar icon August 8, 2011 Clock icon 17 sec read time Tag icon Drupal Mollom db
2026-01-13T09:29:38
https://git-scm.com/book/ms/v2/Distributed-Git-Summary
Git - Summary About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Getting Started 1.1 About Version Control 1.2 A Short History of Git 1.3 What is Git? 1.4 The Command Line 1.5 Installing Git 1.6 First-Time Git Setup 1.7 Getting Help 1.8 Summary 2. Git Basics 2.1 Getting a Git Repository 2.2 Recording Changes to the Repository 2.3 Viewing the Commit History 2.4 Undoing Things 2.5 Working with Remotes 2.6 Tagging 2.7 Git Aliases 2.8 Summary 3. Git Branching 3.1 Branches in a Nutshell 3.2 Basic Branching and Merging 3.3 Branch Management 3.4 Branching Workflows 3.5 Remote Branches 3.6 Rebasing 3.7 Summary 4. Git on the Server 4.1 The Protocols 4.2 Getting Git on a Server 4.3 Generating Your SSH Public Key 4.4 Setting Up the Server 4.5 Git Daemon 4.6 Smart HTTP 4.7 GitWeb 4.8 GitLab 4.9 Third Party Hosted Options 4.10 Summary 5. Distributed Git 5.1 Distributed Workflows 5.2 Contributing to a Project 5.3 Maintaining a Project 5.4 Summary 6. GitHub 6.1 Account Setup and Configuration 6.2 Contributing to a Project 6.3 Maintaining a Project 6.4 Managing an organization 6.5 Scripting GitHub 6.6 Summary 7. Git Tools 7.1 Revision Selection 7.2 Interactive Staging 7.3 Stashing and Cleaning 7.4 Signing Your Work 7.5 Searching 7.6 Rewriting History 7.7 Reset Demystified 7.8 Advanced Merging 7.9 Rerere 7.10 Debugging with Git 7.11 Submodules 7.12 Bundling 7.13 Replace 7.14 Credential Storage 7.15 Summary 8. Customizing Git 8.1 Git Configuration 8.2 Git Attributes 8.3 Git Hooks 8.4 An Example Git-Enforced Policy 8.5 Summary 9. Git and Other Systems 9.1 Git as a Client 9.2 Migrating to Git 9.3 Summary 10. Git Internals 10.1 Plumbing and Porcelain 10.2 Git Objects 10.3 Git References 10.4 Packfiles 10.5 The Refspec 10.6 Transfer Protocols 10.7 Maintenance and Data Recovery 10.8 Environment Variables 10.9 Summary A1. Appendix A: Git in Other Environments A1.1 Graphical Interfaces A1.2 Git in Visual Studio A1.3 Git in Visual Studio Code A1.4 Git in IntelliJ / PyCharm / WebStorm / PhpStorm / RubyMine A1.5 Git in Sublime Text A1.6 Git in Bash A1.7 Git in Zsh A1.8 Git in PowerShell A1.9 Summary A2. Appendix B: Embedding Git in your Applications A2.1 Command-line Git A2.2 Libgit2 A2.3 JGit A2.4 go-git A2.5 Dulwich A3. Appendix C: Git Commands A3.1 Setup and Config A3.2 Getting and Creating Projects A3.3 Basic Snapshotting A3.4 Branching and Merging A3.5 Sharing and Updating Projects A3.6 Inspection and Comparison A3.7 Debugging A3.8 Patching A3.9 Email A3.10 External Systems A3.11 Administration A3.12 Plumbing Commands 2nd Edition 5.4 Distributed Git - Summary Summary You should feel fairly comfortable contributing to a project in Git as well as maintaining your own project or integrating other users' contributions. Congratulations on being an effective Git developer! In the next chapter, you’ll learn about how to use the largest and most popular Git hosting service, GitHub. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://dri.es/mollom-for-perl
Mollom for Perl | Dries Buytaert Dries Buytaert Blog Projects Photos About Mollom for Perl Michael Peters has just released version 0.03 of his Mollom plugin for Perl. The software is available at CPAN or through your CPAN installer via "install Net::Mollom". I haven't reviewed the code yet, but if you try it and have comments, be sure to post them here. Woop, woop! — Dries Buytaert Calendar icon March 6, 2009 Clock icon 13 sec read time Tag icon Mollom plugins db
2026-01-13T09:29:38
https://developers.google.com/open-source/gsoc/resources/lists?hl=hi
ईमेल पाने वाले लोगों की सूची  |  Google Summer of Code  |  Google for Developers सीधे मुख्य कॉन्टेंट पर जाएं Google Summer of Code / English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 प्रवेश करें होम पेज संसाधन इतिहास नियम Google Summer of Code होम पेज संसाधन इतिहास नियम अक्सर पूछे जाने वाले सवाल वीडियो ग्लॉसरी गाइड ईमेल पाने वाले लोगों की सूची Marketing संसाधन भूमिकाएं और ज़िम्मेदारियां टाइमलाइन हमसे संपर्क करें होम पेज प्रॉडक्ट Open Source Programs Office Google Summer of Code संसाधन ईमेल पाने वाले लोगों की सूची संग्रह की मदद से व्यवस्थित रहें अपनी प्राथमिकताओं के आधार पर, कॉन्टेंट को सेव करें और कैटगरी में बांटें. सूचनाएं GSoC से जुड़े नए अपडेट और एलान के लिए, google-summer-of-code-announce पर जाएं! चर्चाएं google-summer-of-code-discuss , GSoC की आम चर्चा का पेज है! जब तक कुछ अलग से न बताया जाए, तब तक इस पेज की सामग्री को Creative Commons Attribution 4.0 License के तहत लाइसेंस मिला है. ज़्यादा जानकारी के लिए, Google Developers साइट नीतियां देखें.Oracle और/या इससे जुड़ी हुई कंपनियों का, Java एक रजिस्टर किया हुआ ट्रेडमार्क है. आखिरी बार 2025-07-25 (UTC) को अपडेट किया गया. [[["समझने में आसान है","easyToUnderstand","thumb-up"],["मेरी समस्या हल हो गई","solvedMyProblem","thumb-up"],["अन्य","otherUp","thumb-up"]],[["वह जानकारी मौजूद नहीं है जो मुझे चाहिए","missingTheInformationINeed","thumb-down"],["बहुत मुश्किल है / बहुत सारे चरण हैं","tooComplicatedTooManySteps","thumb-down"],["पुराना","outOfDate","thumb-down"],["अनुवाद से जुड़ी समस्या","translationIssue","thumb-down"],["सैंपल / कोड से जुड़ी समस्या","samplesCodeIssue","thumb-down"],["अन्य","otherDown","thumb-down"]],["आखिरी बार 2025-07-25 (UTC) को अपडेट किया गया."],[],["The provided content directs users to two Google Groups for information about Google Summer of Code (GSoC). The **google-summer-of-code-announce** group is for updates and announcements. The **google-summer-of-code-discuss** group is designated for general discussions about GSoC. Users seeking official information should check the \"announce\" group, while those interested in broader conversation can join the \"discuss\" group.\n"]] ब्लॉग कनेक्ट करें ब्लॉग Bluesky Instagram LinkedIn X (Twitter) YouTube कार्यक्रम Google Developer Program Google Developer Groups Google Developer Experts Accelerators Google Cloud & NVIDIA सारे डेवलपर कंसोल Google API Console Google Cloud Platform Console Google Play Console Firebase Console Actions on Google Console Cast SDK Developer Console Chrome Web Store Dashboard Google Home Developer Console Android Chrome Firebase Google Cloud Platform Google AI सारे प्रॉडक्ट शर्तें निजता Manage cookies English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어
2026-01-13T09:29:38
https://dri.es/mollom-for-joomla
Mollom for Joomla | Dries Buytaert Dries Buytaert Blog Projects Photos About Mollom for Joomla A Joomla extension for Mollom was released. Markus Bopp of Crosstec created a Mollom plugin for Joomla . The plugin is code named Jollom and can be customized to protect any form . Welcome Joomla! — Dries Buytaert Calendar icon June 9, 2008 Clock icon 10 sec read time Tag icon Joomla Mollom Mollom plugins db
2026-01-13T09:29:38
https://creativecommons.org/?p=11390
Downloads - Creative Commons Skip to content Creative Commons Menu Who We Are What We Do Licenses and Tools Blog Support Us English --> Search Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. --> Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Global Summit Attend our annual event, promoting the power of open licensing Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Open Source Help us build products that maximize creativity and innovation Help us protect the commons. Make a tax deductible gift to fund our work. Donate today! Downloads Who We Are Global Community Our Team Governance Opportunities Annual Reports Downloads Contact Please see our policies page for more information about how our logos may be used. CC logos and trademarks should always be downloaded from this page to ensure high quality. Downloads from other sites may not conform to our standards and may result in improper display or use of our protected logos and trademarks. The EPS and SVG format files are recommended for use in print materials. Images optimized for digital use can appear blurry or jagged if used in print. There are links to large format, high-quality PNG versions of each graphic for web, print, presentations, and video. Logos svg eps png svg eps png svg eps png Badges Some rights reserved svg eps gif BY svg eps png BY SA svg eps png BY ND svg eps png BY NC svg eps png BY NC EU svg eps png BY NC SA svg eps png BY NC SA EU svg eps png BY NC ND svg eps png BY NC ND EU svg eps png CC0 svg png Public Domain Mark svg png BY 80x15 svg eps png BY SA 80x15 svg eps png BY ND 80x15 svg eps png BY NC 80x15 svg eps png BY NC SA 80x15 svg eps png BY NC ND 80x15 svg eps png CC0 80x15 svg png Public Domain Mark 80x15 svg png Icons CC svg eps png BY svg eps png NC svg eps png NC (EU) svg eps png NC (JP) svg eps png SA svg eps png ND svg eps png Public Domain svg eps png Zero svg eps png Share svg eps png Remix svg eps png All icons svg eps png Stickers svg eps png Physical Media Six licenses for sharing your work : Simple, quick introduction to Creative Commons licenses. Also available as a folded brochure . Guide to using public domain tools : Simple, quick introduction to Creative Commons public domain tools. Also available as a folded brochure . Three Layers of License (png) . Also available in greyscale . (Copyright 2011, Creative Commons, Nathan Yergler, Alex Roberts. Licensed to the public under CC BY 3.0 Unported.) What is Creative Commons? (Mirror on scribd.com ): Short introduction, designed for half-page double-sided printed flyers. What is Creative Commons? (Mirror on scribd.com ): Full introduction designed for full page printouts. What is Creative Commons? poster (Mirror on scribd.com ): Large format poster. How To License poster (Mirror on scribd.com , Inkscape SVG source files ): Large format poster explaining our six licenses. Licensing and Marking Your Content (pdf) (Mirror on scribd.com ): Full page printout with information about marking CC content. Sharing Creative Works Comics (Mirror on scribd.com , Inkscape SVG source files ): A general introduction to copyright and CC licensing. Encouraging the Ecology of Creativity (pdf) (Mirror on scribd.com ): A background on the history and ideology of Creative Commons. Videos Creative Commons Video Bumpers We made these with graphic designer/illustrator Ryan Junell. Feel free to use them in your videos about Creative Commons, or to mark your videos with the CC license or public domain tool of your choice. Animated GIFs Creative Commons Logo Color Pop Right-click on animations above to save to your local device. You may reuse the animations collected here freely to show your support for CC as they are dedicated to the public domain under CC0 . The CC icon and other CC trademarks are subject to the Creative Commons Trademark Policy . Colors Our current brand colors are: Need guidance on CC’s style? Check out our style guide . Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org Instagram --> Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome .
2026-01-13T09:29:38
https://www.microsoft.com/ko-kr/power-platform/ai
Microsoft Power AI | Microsoft Power Platform | This is the Trace Id: def0868d22cffb365f364e65f292729d 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 리소스 제품별 리소스 Power Platform 알아보기 설명서 Power Platform 항목 무료로 시작 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 Power Platform의 차세대 AI Drive innovation with AI and low code</h1> "> AI와 로우코드로 혁신 추진 Microsoft Power Platform의 Copilot을 사용하여 워크플로를 간소화하고 생산성을 향상하는 데 도움이 되는 AI 지원 비즈니스 솔루션을 빠르게 구축하세요. 방법 보기 개요 개요 제품 추천 소식 다음 단계 개요 Transform how your business operates and builds solutions</h2> "> 비즈니스 운영 및 솔루션 구축 방식 혁신 Power Platform 전반에 걸쳐 Copilot 기능을 사용하여 사내 모든 직원이 앱, 웹 페이지, 워크플로, 에이전트를 신속하게 개발할 수 있도록 지원하세요. 자연어를 사용하여 솔루션을 쉽게 만들 수 있으며, 간단한 질문으로 유용한 데이터 인사이트를 얻을 수 있습니다. 제품 Work more intuitively with Copilot in Power Platform</h2> "> Power Platform의 Copilot을 통한 더 직관적인 작업 Power Automate의 Copilot Power Apps의 Copilot Microsoft Fabric의 Copilot Power Pages의 Copilot Microsoft Copilot Studio 이전 다음 AI 기반의 로우코드 자동화 도구를 사용하여 워크플로 간소화 직접 말로 목표를 설명하여 비즈니스 프로세스를 쉽게 최적화하고 자동화된 워크플로를 생성하세요. 자세한 정보 기존 프로세스의 비효율성 식별 AI 기반 프로세스 및 작업 마이닝을 사용하여 비즈니스 프로세스를 심층적으로 이해하고, 병목 현상과 비효율성을 찾아내며, 프로세스 최적화를 달성하세요. 자세한 정보 '보여주며 말하는' 사용자 환경으로 작업 자동화 마치 새로운 팀 구성원을 교육하는 것처럼 화면을 공유하고 특정 작업을 완료하는 방법을 구두로 설명하는 다중 모드 AI 녹화를 사용하여 흐름을 만드세요. 자세한 정보 설명을 통해 반응형 앱 구축 Copilot 내에서 자연어 인터페이스를 사용하여 앱 개발의 모든 단계를 간소화하세요. 자세한 정보 간편하게 앱 및 데이터 모델 편집 필요한 변경 사항을 Copilot에 알려주기만 하면 앱을 구축한 후 추가로 사용자 지정할 수 있습니다. 자세한 정보 모두의 모델 기반 앱 사용 지원 Copilot과 대화하고 질문하여 사내 모든 직원이 앱을 효율적으로 탐색하고 빠르게 데이터 인사이트를 찾을 수 있도록 지원하세요. 자세한 정보 손쉽게 자세한 보고서 만들기 원하는 시각적 요소 및 분석 계산을 설명하여 데이터 보고서를 빠르게 작성하세요. 자세한 정보 유용한 인사이트 확보 Copilot에게 데이터에 대해 질문하여 관련성이 높고 의미 있는 인사이트를 파악하세요. 자세한 정보 보고서 요약 데이터를 더 잘 이해할 수 있도록 보고서 요약을 쉽게 생성하고 사용자 지정하세요. 자세한 정보 데이터 기반 웹 사이트 만들기 간소화 이상적인 사이트 유형을 설명하고 권장 옵션을 선택한 다음 추가 편집 및 수정 사항으로 사용자 지정하여 비즈니스 웹 사이트를 구축하세요. 자세한 정보 최종 사용자 환경 개선 자연어를 사용하여 데이터 레코드를 효율적으로 찾고, 검색 환경을 개선하며, 사용자가 필요한 정보를 빠르게 찾을 수 있도록 지원하세요. 자세한 정보 웹 페이지 내에 AI 기반 에이전트 통합 Microsoft Copilot Studio 내에서 에이전트를 구축하고 Power Pages 사이트에 원활하게 추가하여 사용자가 질문을 하고 참여도를 높이는 데 도움이 되는 간결한 응답을 받을 수 있도록 하세요. 자세한 정보 강력하고 연결성 있는 에이전트 구축 복잡한 쿼리를 손쉽게 처리하고 풍부한 동적 상호 작용을 통해 직원과 고객을 참여시키세요. 자세한 정보 비즈니스 데이터에 에이전트 연결 에이전트가 비즈니스 데이터를 참조하고 추가 컨텍스트를 통합할 수 있도록 하여 에이전트의 정확성과 신뢰성을 높이세요. 자세한 정보 에이전트 전반의 자율성 활성화 비즈니스 앱과 데이터 원본 전반에서 독립적으로 작동할 수 있는 에이전트를 구축하고 제공하세요. 자세한 정보 에이전트를 통해 Microsoft 365 Copilot 향상 비즈니스가 Copilot Studio 에이전트 작성기를 사용하여 에이전트 환경을 구축할 수 있도록 지원합니다. 자세한 정보 탭으로 돌아가기 이전 슬라이드 다음 슬라이드 추천 소식 Power Platform Community Conference</h2> "> Power Platform 커뮤니티 컨퍼런스 최근 로우코드 혁신 기술을 살펴보고 제3회 연례 Power Platform 커뮤니티 컨퍼런스의 주요 발표 내용을 살펴보세요. 블로그 읽기 뉴스 및 공지 사항 Microsoft Power Automate blogs</h2> "> Microsoft Power Automate 블로그 비즈니스가 작업을 자동화하고, 프로세스를 최적화하고, 효율성을 높이는 데 도움이 되는 새로운 기능을 살펴보세요. 자세한 정보 뉴스 및 공지 사항 Microsoft Power Pages blogs</h2> "> Microsoft Power Pages 블로그 비즈니스가 전문적이고 매력적인 웹 사이트를 구축하는 데 도움이 되는 최근에 발표된 기능을 살펴보세요. 자세한 정보 뉴스 및 공지 사항 Microsoft Power Apps blogs</h2> "> Microsoft Power Apps 블로그 비즈니스에서 AI 기반 애플리케이션을 구축하고 배포하는 데 도움이 되는 최신 혁신 기술을 확인하세요. 자세한 정보 뉴스 및 공지 사항 Microsoft Copilot Studio blog</h2> "> Microsoft Copilot Studio 블로그 비즈니스에서 직원과 고객을 지원하는 연결된 에이전트를 제공하는 데 도움이 되는 인사이트와 공지 사항을 확인하세요. 자세한 정보 뉴스 섹션으로 돌아가기 다음 단계 Try Power Platform products</h2> "> Power Platform 제품 사용해 보기 사내 모든 직원이 생성형 AI를 사용하여 혁신적인 로우코드 솔루션을 빠르고 쉽게 구축할 수 있도록 지원하세요. 시작 Request we contact you</h3> "> 연락 요청하기 요청을 제출하여 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락을 받으세요. 요청 보내기 Power Platform 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 © Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: 'Segoe UI'; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} </style> <div class="ow-pro-c-container-modal proactive-chat-hidden" id="proactive-chat-dialog"> <div class="ow-pro-c-button-container"> <button class="ow-pro-c-close-button c-glyph glyph-cancel" aria-label="{{chat-disengagement.aria-label}}" data-bi-cn="Chat_invite_decline" data-bi-bhvr="15" onclick="(window.chatInst.getProactiveChat()).toggle(false)" ></button> </div> <div class="ow-headinghelper-2 ow-pro-c-h-text">{{module.heading}}</div> <div class="c-button f-primary ow-pro-c-p-text"> {{chat-engagement.prompt}} </div> <div class="ow-pro-c-image-container ow-pro-c-d-flex"> <img src="{{module.img-src}}" alt="{{module.img-alt-txt}}" class="ow-pro-c-image" /> <ul data-cta-count="1"> <li class="ow-link-wrapper"> <button id="chatEngagement" aria-label="{{chat-engagement-aria-label}}" class="c-button f-primary ow-pro-c-chat-button" data-bi-cn="Chat_invite_accept" data-bi-bhvr="180" > <span> {{chat-engagement.btn-txt}} </span> </button> </li> </ul> <button id="chatDisengagement" class="ow-pro-c-button-glyph-container ow-pro-c-d-flex" aria-label="{{chat-disengagement.aria-label}}" data-bi-cn="Chat_invite_decline" data-bi-bhvr="15" > <div class="ow-pro-c-no-button">{{chat-disengagement.btn-txt}}</div> <div class="ow-pro-c-no-button c-glyph glyph-cancel"></div> </button> </div> </div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:38
https://opensource.creativecommons.org/blog/authors/JackieBinya/
Jacqueline Binya — Creative Commons Open Source Skip to content Open source Menu Blog Contribute Community Work Programs Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Jacqueline Binya JackieBinya is a software developer, technical writer, cloud enthusiast, and a Google Season of Docs (GSoD) 2020 participant. See all authors Posts by Jacqueline Binya Presenting CC Base docs - A WordPress Base Theme Usage Guide for the CC Base Theme by Jacqueline Binya on 2020-11-27 Cc-wp-base-theme , Gsod , Gsod-2020 We are live 🎉 --> Content Creation Phase: WordPress Base Theme Usage Guide by Jacqueline Binya on 2020-11-10 Cc-wp-base-theme , Gsod , Gsod-2020 For the past couple of weeks we have been actively creating content for the Creative Commons... --> WordPress Base Theme Usage Guide (GSOD-2020): Hello World! by Jacqueline Binya on 2020-09-30 Cc-wp-base-theme , Gsod , Gsod-2020 My name is Jacqueline Binya. I am a software developer and technical writer from Zimbabwe. I am... --> Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome .
2026-01-13T09:29:38
https://creativecommons.org/?p=48456
Technology Platforms - Creative Commons Skip to content Creative Commons Menu Who We Are What We Do Licenses and Tools Blog Support Us English --> Search Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. --> Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Global Summit Attend our annual event, promoting the power of open licensing Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Open Source Help us build products that maximize creativity and innovation Help us protect the commons. Make a tax deductible gift to fund our work. Donate today! Technology Platforms Licenses and Tools About CC Licenses Use & remix FAQ Technology Platforms Made with Creative Commons Made with CC Community Search the Commons Over 2.5 billion CC-licensed works exist across millions of websites. The majority are hosted on content platforms that provide CC license options for their users. Platforms that support CC licenses make it easy for users to discover and collaborate on images, video, music, research and educational texts. This page highlights some of the best known platforms for sharing CC content. Content on these platforms is searchable and shareable across the web thanks to CC licenses. Flickr Bandcamp Wikipedia YouTube Sketchfab Internet Archive Vimeo Wikimedia Commons Free Music Archive SkillsCommons Europeana Tribe of Noise Jamendo MIT OpenCourseWare PLOS Enabling the CC license suite for your users We work to transform content platforms into vibrant, creative spaces powered by users. Creative Commons Integration, from A to Z is a toolkit for platforms that want to address the increasing user demand for sharing content under CC licenses. The toolkit covers everything a platform needs to add the CC license suite, including aligning terms of service, integrating CC licenses into the user interface, and clearly communicating about the different license options for users. The toolkit is free for anyone to implement; please use it as an onboarding tool and contact us with any questions. Learn more > Content collaborations: Light up the Commons For CC, the global commons is a platform for cooperation. The size of the commons is not as important as how the works it contains are shared and used. Adding the CC license suite is just the first step in joining a vast global network of creators, companies, and institutions who are working to build context, gratitude, and other mechanisms for collaboration into the commons. We work with platforms who share our values to design tools and services that light up this universe of content and creators . Part of this is working to increase cross-platform mobility of content; another part is tracking growth and use of the content itself and reporting on major trends in our annual State of the Commons report . In addition to growth of content and users, what is your platform seeking to do and how can CC help you do it? Please get in touch if you are interested in any of the following: Improved search , curation, metatagging, and content analytics to better support creators and users of the commons. Providing data to be featured in our annual State of the Commons report. Development of tools and services that build context, gratitude, and other mechanisms for collaboration into the commons. Salons and related events exploring the topics of gratitude, cooperation, and its expression in social networks. Other collaborations that facilitate greater cooperation and engagement in the commons. Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org Instagram --> Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome .
2026-01-13T09:29:38
https://www.linkedin.com/products/sumsub/?trk=products_seo_search
Sumsub | LinkedIn Skip to main content LinkedIn Sumsub in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Sumsub Identity Verification Software by Sumsub See who's skilled in this Add as skill Learn more Report this product About Sumsub is a leading full-cycle verification platform that enables fraud-free, scalable compliance. Its adaptive, no-code solution covers everything from identity and business verification to ongoing monitoring – quickly adjusting to evolving risks, regulations, and market demands. Recognized as a Leader by Gartner, Liminal, and KuppingerCole, Sumsub combines seamless integration with advanced fraud prevention to deliver industry-leading performance: the highest conversion rates (91.64% in the US, 95.86% in the UK, 90.23% in Singapore, 95.3% in China, 92.81% in Australia, and 90.98% in Brazil) and user verification in under 20 seconds on average. Over 4,000 clients—including Bitpanda, Wirex, Avis, Bybit, Vodafone, Duolingo, Kaizen Gaming, and TransferGo—trust Sumsub to streamline verification, prevent fraud, and drive growth. The platform's methodology follows leading global AML standards and regulations, and Sumsub has extensively engaged with leading research and public institutio Media Products media viewer No more previous content Unlock the Power of One User Verification Business Verification Transaction Monitoring Non-Doc Verification No more next content Featured customers of Sumsub Duolingo Software Development 821,174 followers Native Teams Financial Services 168,895 followers Yolo Group IT Services and IT Consulting 27,311 followers Bybit Financial Services 489,479 followers Avis Car Rental Barton Creek Mall Motor Vehicle Manufacturing 670 followers SHRAPNEL Computer Games 4,117 followers ekar Transportation, Logistics, Supply Chain and Storage 110,049 followers Mercuryo Financial Services 26,499 followers Kaizen Gaming Entertainment Providers 134,305 followers Wirex Financial Services 32,147 followers TransferGo Financial Services 26,353 followers Pridepay Financial Services 1,690 followers 🇨🇭SuisseBase™ | EveryThing Crypto and Payments Financial Services 1,250 followers BingX Financial Services 138,261 followers CS.Money Technology, Information and Internet 610 followers CoinList Software Development 12,069 followers italki Internet Marketplace Platforms 122,871 followers Mellow IT Services and IT Consulting 2,678 followers The Kingdom Bank Financial Services 4,853 followers Show more Show less Similar products Microsoft Entra Verified ID Microsoft Entra Verified ID Identity Verification Software Signzy Signzy Identity Verification Software HyperVerge HyperVerge Identity Verification Software Shufti Shufti Identity Verification Software Persona's Unified Identity Platform Persona's Unified Identity Platform Identity Verification Software Veriff Veriff Identity Verification Software Sign in to see more Show more Show less Sumsub products AML Transaction Monitoring AML Transaction Monitoring Business verification Business verification Identity Verification Software Case Management Case Management Fraud Prevention Solution Fraud Prevention Solution Fraud Protection Software Sumsub ID Sumsub ID Identity Verification Software Travel Rule Travel Rule User Verification User Verification Show more Show less LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language
2026-01-13T09:29:38
https://opensource.creativecommons.org/blog/authors/MuluhGodson/
Muluh MG Godson — Creative Commons Open Source Skip to content Open source Menu Blog Contribute Community Work Programs Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Muluh MG Godson MG was an Outreachy intern for Creative Commons. See all authors Posts by Muluh MG Godson Building the CC Global Components Library by Muluh MG Godson on 2022-03-17 Outreachy , Outreachy-2021 , Community , Design IntroductionDuring the course of my Outreachy internship with the Creative Commons, I got to... --> Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome .
2026-01-13T09:29:38
https://dri.es/node/3306
The future of software is data-driven | Dries Buytaert Dries Buytaert Blog Projects Photos About The future of software is data-driven Marc Andreessen famously said that software is eating the world . While I certainly agree with Marc that software companies are redefining our economies, I believe that much of that technological shift is being driven by data. So is the value of a business in the data or is it in the software? I believe data is eating the world because the value is increasingly more in the data and not the software. Let's investigate why. Data-driven experiences Netflix provides a great example of a data-driven customer-centric company. By introducing streaming video, their software "ate" the traditional DVD business. But Netflix soon realized their future wasn't in the medium of delivery – it was in the wealth of data generated simply by people using the service. The day-to-day data generated by Netflix viewers provides a crucial ingredient to competing in the marketplace and defining the company's mission: improving the quality of the service. To that end, Netflix uses passive data – the information gathered quietly in the background without disrupting users' natural behaviors – to provide TV and movie recommendations, as well as to optimize the quality of services, such as streaming speed, playback quality, subtitles, or closed captioning. Of course, Netflix subscribers can contribute active feedback to the company, such as movie reviews or feedback on the accuracy of a translation, but the true value of Netflix's user data is in the quiet, zero-effort observation that allows the company to optimize experiences with no friction or disruption to regular user behavior. In fact, the company even hosted several competitions to invent better algorithms for user ratings, with a winning prize of $1M USD. Within very saturated marketplaces, data is also becoming a key differentiator for some companies. For example, when Google first started, its value was almost entirely centered around the quality of its Pagerank algorithm, or its "software". But Google did not rest on the laurels of having good software, and prioritized data-driven insights as the future of the company. Consider Google Waze, the world's largest community-based traffic and navigation app. Google Waze relies heavily on both active consumer input and passive location-based data, combined with a sophisticated routing algorithm. The routing algorithm alone would not be enough to differentiate Waze from the other navigation systems of the world. Consumers are demanding more accurate maps and real-time traffic information, which could not happen without the use of data. The future of software There is another element in the rising importance of data: not only is the sheer amount of consumer data growing, but software is simultaneously becoming much easier to build. Developers can leverage new software programming tools, open source, and internet-based services to build more complex software in less time. As a result, the underlying intrinsic value of software companies is diminishing. Netflix and Google are still disruptive companies, but no longer primarily because of their software – it's their ability to use the data their customers produce to extend their engagement with customers. Their actual software is increasingly being commoditized; recommendation engines and navigation software both exist in open source and are no longer trade secrets. Tomorrow's applications will consume multiple sources of data to create a fine-grained context; they will leverage calendar data, location data, historic clickstream data, social contacts, information from wearables, and much more. All that rich data will be used as the input for predictive analytics and personalization services. Eventually, data-driven experiences will be the norm. And this basic idea doesn't even begin to cover the advances in machine learning, artificial intelligence, deep learning and beyond – collectively called "machine intelligence". Looking forward even more, computers will learn to do things themselves from data rather than being programmed by hand. They can learn faster themselves than we'd be able to program them. In a world where software builds itself, computers will only be limited by the data they can or cannot access, not by their algorithms. In such a future, is the value in the software or in the data? Rethinking business As value shifts from software to the ability to leverage data, companies will have to rethink their businesses, just as Netflix and Google did. In the next decade, data-driven, personalized experiences will continue to accelerate, and development efforts will shift towards using contextual data collected through passive user behaviors. Companies of the future have a lot on their plates. More than ever, they'll need to adapt to all types and formats of data (closed, open, structured and unstructured); leverage that data to make their product or service better for users; navigate the gray area around privacy concerns; and even reconsider the value of their intellectual property derived from software. They'll have to do all this while providing more contextualized, personalized, and automated experiences. "Data-driven" will spell a win-win situation for both users and businesses alike. — Dries Buytaert Join 5,000+ readers. Two decades building Drupal and Acquia. Thoughts on Open Source, technology, and business. Subscribe Subscribe via RSS · Email me Calendar icon January 8, 2015 Clock icon 3 min read time Tag icon Artificial Intelligence Trends db
2026-01-13T09:29:38
https://google.github.io/adk-docs/tools/google-cloud/bigquery/#bigquery-database-tool-for-adk
BigQuery - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit BigQuery Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Build Agents Tools for Agents Google Cloud tools BigQuery database tool for ADK ¶ Supported in ADK Python v1.1.0 These are a set of tools aimed to provide integration with BigQuery, namely: list_dataset_ids : Fetches BigQuery dataset ids present in a GCP project. get_dataset_info : Fetches metadata about a BigQuery dataset. list_table_ids : Fetches table ids present in a BigQuery dataset. get_table_info : Fetches metadata about a BigQuery table. execute_sql : Runs a SQL query in BigQuery and fetch the result. forecast : Runs a BigQuery AI time series forecast using the AI.FORECAST function. ask_data_insights : Answers questions about data in BigQuery tables using natural language. They are packaged in the toolset BigQueryToolset . # Copyright 2025 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import asyncio from google.adk.agents import Agent from google.adk.runners import Runner from google.adk.sessions import InMemorySessionService from google.adk.tools.bigquery import BigQueryCredentialsConfig from google.adk.tools.bigquery import BigQueryToolset from google.adk.tools.bigquery.config import BigQueryToolConfig from google.adk.tools.bigquery.config import WriteMode from google.genai import types import google.auth # Define constants for this example agent AGENT_NAME = "bigquery_agent" APP_NAME = "bigquery_app" USER_ID = "user1234" SESSION_ID = "1234" GEMINI_MODEL = "gemini-2.0-flash" # Define a tool configuration to block any write operations tool_config = BigQueryToolConfig ( write_mode = WriteMode . BLOCKED ) # Uses externally-managed Application Default Credentials (ADC) by default. # This decouples authentication from the agent / tool lifecycle. # https://cloud.google.com/docs/authentication/provide-credentials-adc credentials_config = BigQueryCredentialsConfig () # Instantiate a BigQuery toolset bigquery_toolset = BigQueryToolset ( credentials_config = credentials_config , bigquery_tool_config = tool_config ) # Agent Definition bigquery_agent = Agent ( model = GEMINI_MODEL , name = AGENT_NAME , description = ( "Agent to answer questions about BigQuery data and models and execute" " SQL queries." ), instruction = """ \ You are a data science agent with access to several BigQuery tools. Make use of those tools to answer the user's questions. """ , tools = [ bigquery_toolset ], ) # Session and Runner session_service = InMemorySessionService () session = asyncio . run ( session_service . create_session ( app_name = APP_NAME , user_id = USER_ID , session_id = SESSION_ID ) ) runner = Runner ( agent = bigquery_agent , app_name = APP_NAME , session_service = session_service ) # Agent Interaction def call_agent ( query ): """ Helper function to call the agent with a query. """ content = types . Content ( role = "user" , parts = [ types . Part ( text = query )]) events = runner . run ( user_id = USER_ID , session_id = SESSION_ID , new_message = content ) print ( "USER:" , query ) for event in events : if event . is_final_response (): final_response = event . content . parts [ 0 ] . text print ( "AGENT:" , final_response ) call_agent ( "Are there any ml datasets in bigquery-public-data project?" ) call_agent ( "Tell me more about ml_datasets." ) call_agent ( "Which all tables does it have?" ) call_agent ( "Tell me more about the census_adult_income table." ) call_agent ( "How many rows are there per income bracket?" ) call_agent ( "What is the statistical correlation between education_num, age, and the income_bracket?" ) Back to top Previous Application Integration Next Bigtable Copyright Google 2025  |   Terms   |   Privacy   |   Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. With your consent, you're helping us to make our documentation better. Google Analytics GitHub Accept Manage settings
2026-01-13T09:29:38
https://www.digitalcameraworld.com/buying-guides/best-lenses-for-sony-zv-e10#section-best-vlogging-lens-for-the-zv-e10
Best lenses for Sony ZV-E10 | Digital Camera World Skip to main content Open menu Close main menu Digital Camera World THE HOME OF DIGITAL PHOTOGRAPHY US Edition US Canada UK Australia Subscribe Sign in View Profile Sign out Search Search Digital Camera World Cameras Accessories Tech How To Reviews Buying Guides Magazines Bokeh Face Podcast The Photography &amp; Video Show Digital Camera Australian Camera Australian ProPhoto About Us Photography Magazines Why subscribe? Issues filled with product reviews, latest updates, expert advice and more Delivered to your Android or IOS device Every issue is packed with photo tips, kit reviews and inspiration From $12 Subscribe now Jump to: The Quick List Best everyday lens Best for versatility Best for vlogging Best wide-angle Best telephoto Best super-telephoto Comparisons How to choose How we test Don't miss these Lenses This zoom is the best-selling lens for the second year running&hellip; Here's why and the full top 10 of 2025 Camcorders The best camcorders: perfect all-in-one video cameras Cameras The best Canon camera: Canon's top mirrorless, DSLRs and compacts Compact Cameras The best APS-C compact cameras: top image quality in your pocket Mirrorless Cameras The best Nikon camera: from basic beginner cameras to advanced pro models Lenses 12 lenses of Christmas: Pancake lenses! Fisheye lenses! DSLR lenses! Limited edition lenses! The freaks come out to play Lenses The best lenses for the Canon EOS R50: this camera is a proper little powerhouse and deserves the right lenses Cameras The best camera for street photography in 2026 Video Cameras Best budget video cameras in 2026 Lenses The best 150-600mm lenses: super-telephoto zooms to get close to the action Video Cameras The best camera for film students in 2026 Lenses The best Nikon Z lenses: the top buys for your Nikon Z-series mirrorless Cameras The best Panasonic Lumix cameras: from Micro Four Thirds to full-frame and bridge cameras Lenses The best lenses for the Canon EOS M50 and M50 Mark II: these mini marvels will make the most of your slimline camera Digital Cameras These are the cheapest full-frame cameras: get yourself a big sensor on a small budget! Popular Camera news Camera rumors Photo mag deals Photography &amp; Video Show Cheatsheets Cameras Lenses The best lenses for the Sony ZV-E10 &amp; ZV-E10 II: smart choices for vlogging and just about any other genre of video and stills photography Buying guides By Rod Lawton Contributions from Matthew Richards last updated 24 November 2025 Here are my top lens recommendations for the Sony ZV-E10 &amp; ZV-E10 II. Not just for vlogging, this compact and lightweight camera can work really well in all sorts of scenarios When you purchase through links on our site, we may earn an affiliate commission. Here&rsquo;s how it works . (Image credit: Digital Camera World) Jump to: The Quick List Best everyday lens Best for versatility Best for vlogging Best wide-angle Best telephoto Best super-telephoto Comparisons How to choose How we test Share Share by: Copy link Facebook X Whatsapp Pinterest Flipboard Share this article Join the conversation Follow us Add us as a preferred source on Google I really like the Sony ZV-E10 . It&rsquo;s based around the same APS-C format image sensor and video features that I&rsquo;ve seen in other Sony A6000-series bodies, but is wonderfully compact and streamlined. With no viewfinder, it&rsquo;s practically pocketable with its slimline dimensions, while the flip-around, forward-facing rear screen makes it brilliant for vlogging and selfies, when I&rsquo;m standing in front of the camera. I&rsquo;d go as far as to say it&rsquo;s one of the best cameras for vlogging right now. It&rsquo;s also really intuitive and easy to use, making it a strong contender as one of the best cameras for beginners . With these factors firmly in mind, I&rsquo;ve picked the best lenses to go with the Sony ZV-E10, based on what I believe you&rsquo;ll find most useful when you&rsquo;re just starting out, and later on when you&rsquo;re ready to try new subjects and techniques. The 16-50mm power-zoom lens that comes with the camera is certainly ideally suited to vlogging but, with a couple or more other lenses in your collection, you can really spread your wings and get creative. Naturally, the ZV-E10 isn&rsquo;t just for vlogging. While it&rsquo;s probably one of the most basic cameras in the Sony range, I think it&rsquo;s still one of the best Sony cameras for anyone just starting out. Its 24MP sensor and access to the full Sony E-mount lens range means that it&rsquo;s a really good stills camera too. So if you like to mix it up a bit between shooting stills and video, check out the lenses in this guide and find out where they can take you on your journey. Rod Lawton Social Links Navigation Contributor Rod is an independent photography journalist and editor, and a long-standing Digital Camera World contributor, having previously worked as DCW's Group Reviews Editor. He has used practically every interchangeable-lens camera launched in the past 20 years, from entry-level DSLRs to medium-format cameras, so he has the expertise to select the best Sony lenses for you. The Quick List Best everyday lens 1. Sigma 18-50mm f/2.8 DC DN | C View at BHPhoto View at Best Buy View at Target Check Amazon I can get better-quality images than with the kit lens, with a zoom range that&rsquo;s able to cope with most general-purpose shooting. Read more below&hellip; Best for versatility 2. Sony E 18-135mm f/3.5-5.6 OSS View at Adorama View at Amazon View at BHPhoto View at Adorama This affordable option reaches further than the Sigma 18-50mm, while still offering a decent wide-angle option for landscapes. Read more below&hellip; Best for vlogging 3. Sony E PZ 10-20mm f/4 G View at Amazon View at Sweetwater Sound View at Adorama View at BHPhoto The ZV-E10 is a big favorite with vloggers, and this power zoom makes the ideal partner when you want to record to camera. Read more below&hellip; Best wide-angle 4. Sony E 11mm f/1.8 View at Adorama View at Amazon View at Sweetwater Sound View at BHPhoto Enjoy the image quality only a prime lens can deliver, with a wide aperture that helps you capture the night skies. Read more below&hellip; Best telephoto 5. Tamron 70-180mm f/2.8 Di III VC VXD G2 View at Amazon A clever reduction in typical '70-200mm' focal length makes this telephoto small and light enough for comfortable use with the ZV-E10. Read more below&hellip; Best super-telephoto 6. Sony E 70-350mm f/4.5-6.3 G OSS View at Adorama View at Sweetwater Sound View at Amazon View at Best Buy This is essentially a super-telephoto zoom when you attach it to the ZV-E10, enabling you to get really close to the action. Read more below&hellip; Best lenses for Sony ZV-E10 Why you can trust Digital Camera World Our expert reviewers spend hours testing and comparing products and services so you can choose the best for you. Find out how we test. Best everyday lens for the ZV-E10 (Image credit: Matthew Richards) 1. Sigma 18-50mm f/2.8 DC DN | C A much better-quality standard zoom for photography with the ZV-E10 Our expert review: Specifications Focal length: 18-50mm (27-75mm equivalent) Maximum aperture: Constant f/2.8 Elements/groups: 13 elements in 10 groups Diaphragm blades: 7 Stabilizer: No Minimum focus distance: 0.12m (W) 0.3m (T) Maximum magnification: 0.36x (W) 0.2x (T) Filter thread: 55mm Dimensions: 65 x 75mm Weight: 290g Today's Best Deals View at BHPhoto View at Best Buy View at Target Check Amazon Reasons to buy + Constant f/2.8 maximum aperture + Value for money + Image quality Reasons to avoid - No stabilizer - Variable min focus distance Image 1 of 3 (Image credit: Matthew Richards) (Image credit: Matthew Richards) (Image credit: Matthew Richards) My picture shows the Sigma 18-50mm f/2.8 DC DN fitted to the Sony A7R III that we use for testing, but it's actually an APS-C lens designed to fit the sensor in the ZV-E10. It offers a classic 3x zoom range for a standard zoom, with a constant f/2.8 maximum aperture. Sony makes a 16-55mm f/2.8 G lens , but it's a lot larger and a lot more expensive, and I think this Sigma alternative is a much better match. it&rsquo;s surprisingly compact &ndash; I say surprisingly because lenses that offer a constant aperture normally end up larger than this. It&rsquo;s also well-built and weather-resistant During my testing, the lens delivered great images, and the autofocus system was responsive enough to keep up with moving subjects. It&rsquo;s a really excellent little lens. Read more: Sigma 18-50mm f/2.8 DC DN Contemporary review Swipe to scroll horizontally Features &#9733;&#9733;&#9733;&#9733;&#9734; The fast and constant f/2.8 aperture is the killer feature but the lens is built to be compact and lightweight so there aren&rsquo;t many extras. Design &#9733;&#9733;&#9733;&#9733;&#9733; Although small and light, the lens feels sturdy and well built. It feels right at home on slimline Sony bodies. Performance &#9733;&#9733;&#9733;&#9733;&#9734; There&rsquo;s a good mix of sharpness and smooth bokeh, although edge-sharpness could be better at long zoom settings when shooting wide-open. Value &#9733;&#9733;&#9733;&#9733;&#9734; It&rsquo;s the kind of lens that you could happily use as your &lsquo;go to&rsquo; for everyday shooting, making it very good value at the price. Most versatile lens for the ZV-E10 (Image credit: Future) 2. Sony E 18-135mm f/3.5-5.6 OSS A great 'super-zoom' lens that's ideal for travel photography Our expert review: Specifications Focal length: 18-135mm (27-202mm equivalent) Maximum aperture: f/3.5-5.6 Elements/groups: 16/12 Diaphragm blades: 7 Stabilizer: Yes Minimum focus distance: 0.45m Maximum magnification: 0.29x Filter thread: 55mm Dimensions (WxL): 67.2x88mm Weight: 325g Today's Best Deals View at Adorama View at Amazon View at BHPhoto View at Adorama Reasons to buy + Effective zoom range of 27-202mm + Optical SteadyShot + Compact and lightweight Reasons to avoid - Relies heavily on digital corrections If you want something with a bit more range than the Sigma 18-50mm f/2.8, how about this affordable zoom lens? The Sony E 18-135mm f/3.5-5.6 OSS gives you an extensive zoom range &ndash; the equivalent of 27-202mm thanks to the ZV-E10&rsquo;s APS-C sensor. But despite the range, it&rsquo;s able to maintain good performance, right up to the longest zoom setting. If you use a raw processing program that doesn't automatically apply lens corrections, you'll see how much digital corrections are needed, but if that's the price you pay for this level of optical quality, I'll take it! My picture shows this lens on a Sony A6000, but it's also a perfect fit for the ZV-E10 and makes an ideal do-it-all travel lens. Read more: Sony E 18-135mm f/3.5-5.6 OSS review Swipe to scroll horizontally Features &#9733;&#9733;&#9733;&#9733;&#9734; The versatile zoom range is top of the features list and the lens also has optical stabilization. Design &#9733;&#9733;&#9733;&#9733;&#9734; Build quality feels pretty good but the lens lacks any weather-seals. Performance &#9733;&#9733;&#9733;&#9733;&#9734; It&rsquo;s good overall but long-zoom sharpness could be better away from the center of the frame. Value &#9733;&#9733;&#9733;&#9733;&#9734; It&rsquo;s good value for a walkabout and travel lens with a generous 27-200mm &lsquo;effective&rsquo; zoom range. Best vlogging lens for the ZV-E10 (Image credit: Matthew Richards) 3. Sony E PZ 10-20mm f/4 G If you want to film yourself for vlogging, this is the perfect lens! Our expert review: Specifications Focal length: 10-20mm (15-30mm equivalent) Maximum aperture: Constant f/4 Elements/groups: 11 elements in 8 groups Diaphragm blades: 7 Stabilizer: No Minimum focus distance: 0.2m (AF), 0.13-0.17m (MF) Maximum magnification: 0.14x (AF), 0.18x (MF) Filter thread: 62mm Dimensions: 70 x 55mm Weight: 178g Today's Best Deals View at Amazon View at Sweetwater Sound View at Adorama View at BHPhoto Reasons to buy + Ultra-wide angle of view + Constant f/4 maximum aperture + Power zoom mechanism Reasons to avoid - No stabilization - Quite expensive Image 1 of 3 (Image credit: Matthew Richards) (Image credit: Matthew Richards) (Image credit: Matthew Richards) If you want to walk and talk to the camera at the same time, the ZV-E10, with its flip-around screen, can oblige &ndash; but you'll need something wider than the standard 16-50mm kit zoom, especially if you want to set the scene by filming yourself against the background. That's where the Sony E PZ 10-20mm ultra-wide zoom comes into its own. It doesn't just give you the wider angle of view that you need for selfies, not to mention travel photography, it's a power zoom lens to go with the ZV-E10's zoom switch on the top of the camera. If this lens is a little too pricey, go for Sony's older but cheaper 10-18mm f/4 OSS lens instead. Read more: Sony E PZ 10-20mm f/4 G review Swipe to scroll horizontally Features &#9733;&#9733;&#9733;&#9733;&#9733; The videocentric feature set includes a power zoom and very useful zoom range, with a constant aperture. Design &#9733;&#9733;&#9733;&#9733;&#9734; There&rsquo;s no aperture control ring but you do get a function button and the weather-resistant design is nicely compact. Performance &#9733;&#9733;&#9733;&#9733;&#9733; It&rsquo;s impressively sharp and the motorized zoom works really well for video capture. Value &#9733;&#9733;&#9733;&#9733;&#9734; Considering the up-market build quality, performance and handling, it&rsquo;s good value at the price. Best wide-angle lens for the ZV-E10 (Image credit: Matthew Richards) 4. Sony E 11mm f/1.8 Prime lenses are making a comeback, and this is one of the best for ZV-E10 vloggers Our expert review: Average Amazon review: &#9734; &#9734; &#9734; &#9734; &#9734; Specifications Focal length: 11mm (16mm equivalent) Maximum aperture: f/1.8 Elements/groups: 12 elements in 11 groups Diaphragm blades: 7 Stabilizer: No Minimum focus distance: 0.15m (AF), 0.12m (MF) Maximum magnification: 0.13x (AF), 0.2x (MF) Filter thread: 55mm Dimensions: 66x58mm Weight: 181g Today's Best Deals View at Adorama View at Amazon View at Sweetwater Sound View at BHPhoto Reasons to buy + Impressive sharpness across the frame + Weather sealed Reasons to avoid - Noticeable vignetting &amp; barrel distortion - No aperture control ring Image 1 of 2 (Image credit: Matthew Richards) (Image credit: Matthew Richards) This is Sony's widest prime lens available for the ZV-E10. Its ultra-wide view, equivalent to 17mm when you take the ZV-E10&rsquo;s APS-C sensor into account, is ideal for epic scenes such as landscapes and interiors, while its fast f/1.8 aperture means it can take in lots of light, so it&rsquo;s a strong choice for astrophotography as well. The use of two linear stepping motors makes the autofocus system very quick for stills, but it also delivers smooth and near-silent transitions while you&rsquo;re shooting video. All in all it's great lens that's remarkably compact for one that gives such an epic viewing angle, and with such a bright aperture. Read more: Sony E 11mm f/1.8 review Swipe to scroll horizontally Features &#9733;&#9733;&#9733;&#9733;&#9734; There&rsquo;s a customizable function button and AF/MF switch but no aperture control ring. Design &#9733;&#9733;&#9733;&#9733;&#9733; It&rsquo;s a tough little cookie with a weather-resistant design and removable hood. Performance &#9733;&#9733;&#9733;&#9733;&#9734; Image quality is very good but relies on automatic in-camera corrections for distortion and vignetting. Value &#9733;&#9733;&#9733;&#9733;&#9734; It&rsquo;s quite pricey for an APS-C format prime lens but well worth the money. Best telephoto lens for the ZV-E10 (Image credit: Matthew Richards) 5. Tamron 70-180mm f/2.8 Di III VXD It's effectively a 105-270mm f/2.8 telephoto zoom on the ZV-E10 Our expert review: Average Amazon review: &#9734; &#9734; &#9734; &#9734; &#9734; Specifications Focal length: 70-180mm (105-270mm equivalent) Maximum aperture: f/2.8 Elements/groups: 20/15 Diaphragm blades: 9 Stabilizer: Yes Minimum focus distance: 0.3m (W) 0.85m (T) Maximum magnification: 0.38x (W) 0.21x (T) Filter thread: 67mm Dimensions (WxL): 83x157mm Weight: 855g Today's Best Deals View at Amazon Reasons to buy + Super-sharp, lovely bokeh + Optical image stabilization + Custom modes and function button Reasons to avoid - Inner barrel extends with zoom Image 1 of 4 (Image credit: Matthew Richards) (Image credit: Matthew Richards) (Image credit: Matthew Richards) (Image credit: Matthew Richards) I love using this lens on both A7-series full-frame cameras and APS-C format Sony bodies. It&rsquo;s much more compact and lightweight than conventional 70-200mm f/2.8 &lsquo;trinity&rsquo; telephoto zooms, which I feel is always a good thing when shooting with slimline mirrorless bodies. Sure, it doesn&rsquo;t quite stretch to 200mm at the long end but it comes pretty close, while retaining that all-important constant f/2.8 aperture throughout the entire zoom range. Pop it on an APS-C format body like an A6000-series camera or the ZV-E10 and you get an &lsquo;effective&rsquo; zoom range of 105-270mm. Either way, it works a treat for weddings and events and even for sports and wildlife photography, while keeping the weight off. And there&rsquo;s more. While the original Tamron 70-180mm was a great lens, I love that the G2 adds optical image stabilization, uprated handling and revamped optics. And it delivers all this at a more inexpensive launch purchase price than the original lens. Autofocus is super-fast, based on a VXD (Voice-coil eXtreme-torque Drive) system, and well able to do justice to the Fast Hybrid AF, Eye AF and advanced tracking options in Sony&rsquo;s recent mirrorless cameras. The proof of the pudding is in the image quality and I like that the optical layout has been redesigned to include an XLD (eXtra Low Dispersion) element, a hybrid aspherical lens element, three LD (Low Dispersion) elements and two GM (Glass Molded aspherical) lens elements. Tamron&rsquo;s BBAR-G2 (Broad-Band Anti-Reflection Generation 2) coating is also applied to minimize ghosting and flare. All in all, it&rsquo;s a terrific lens and a bargain at the price. Read more: Tamron 70-180mm F2.8 Di III VC VXD G2 review Swipe to scroll horizontally Features &#9733;&#9733;&#9733;&#9733;&#9733; Fancy features in the &lsquo;Generation 2&rsquo; include a three-pole Custom switch, function button and USB-C port. Design &#9733;&#9733;&#9733;&#9733;&#9733; The design gives you almost the same zoom range as a classic 70-200mm f/2.8 telephoto zoom but in a much smaller, lighter package. Performance &#9733;&#9733;&#9733;&#9733;&#9733; From super-fast and highly accurate autofocus to great image quality and effective optical stabilization, it&rsquo;s a cracker. Value &#9733;&#9733;&#9733;&#9733;&#9733; It&rsquo;s less than half the price of many &lsquo;trinity&rsquo; telephoto zooms, making it a standout bargain. Best super-telephoto lens for the ZV-E10 (Image credit: Matthew Richards/Digital Camera World) 6. Sony E 70-350mm f/4.5-6.3 G OSS A great lens that's effectively a super-telephoto zoom for APS-C format cameras Our expert review: Specifications Focal length: 70-350mm (105-525mm equivalent) Maximum aperture: f/4.5-6.3 Elements/groups: 19/13 Diaphragm blades: 7 Stabilizer: Yes Minimum focus distance: 1.1-1.5m Maximum magnification: 0.23x Filter thread: 67mm Dimensions (WxL): 77x142mm Weight: 625g Today's Best Deals View at Adorama View at Sweetwater Sound View at Amazon View at Best Buy Reasons to buy + Very good image quality + Virtually silent autofocus Reasons to avoid - Slow-ish maximum aperture - Quite expensive Image 1 of 4 (Image credit: Matthew Richards/Digital Camera World) (Image credit: Matthew Richards/Digital Camera World) (Image credit: Matthew Richards/Digital Camera World) (Image credit: Matthew Richards/Digital Camera World) If you&rsquo;re into action, sports, wildlife and bird photography, or maybe shooting aircraft at air shows, you&rsquo;ll know that you often can't get as close as you'd like to your subject matter. On the ZV-E10, the reach of this lens is extraordinary, equating to 105-525mm in full-frame terms, and definitely taking you into super-telephoto territory. Despite the relatively modest aperture rating, you can expect to get high-quality images from this lens, and it&rsquo;s light enough that handheld shooting is perfectly possible, even for lengthy periods. Built-in optical stabilization helps to maintain sharpness. Read more: Sony E 70-350mm f/4.5-6.3 G OSS review Swipe to scroll horizontally <path d="M21.554 15.726a2.878 2.878 0 0 0-1.705-.374 2.881 2.881 0 0 0-1.388-3.068 2.877 2.877 0 0 0-1.992-.333 2.884 2.884 0 0 0-.1-.766 2.865 2.865 0 0 0-1.346-1.75c-.47-.27-.996-.4-1.527-.385l2.742-4.73a2.87 2.87 0 0 0 .323-.83h2.612V2.084h-2.661A2.861 2.861 0 0 0 15.18.385a2.903 2.903 0 0 0-3.952 1.055l-.373.644H2.983l1.003-1L2.99.09 1.28 1.793l-.999.995L2.99 5.484l.998-.994-1.003-.999h7.054L6.505 9.586c-.34.066-.905.186-1.523.366-1.405.41-2.321.895-2.8 1.483-.742.911-1.159 2.513-1.277 4.898l-.001.01c-.067 1.816.946 6.943.99 7.16a.688.688 0 0 0 1.35-.266c-.01-.051-1.023-5.177-.963-6.84.127-2.556.598-3.64.97-4.098.133-.163.602-.587 2.104-1.027l.206-.058-1.425 2.458a.685.685 0 0 0 .252.937c.33.19.75.077.94-.251L12.42 2.126a1.52 1.52 0 0 1 2.07-.552c.35.2.6.527.705.916.105.39.051.797-.15 1.145l-4.767 8.222a.685.685 0 0 0 .252.937c.33.19.75.077.94-.25l.794-1.368c.201-.348.529-.597.92-.702a1.508 1.508 0 0 1 1.854 1.066c.105.39.052.796-.15 1.144l-.377.652-.002.002-.898 1.55a.685.685 0 0 0 .252.938c.329.189.75.077.94-.251l.9-1.551c.201-.348.528-.597.92-.702a1.512 1.512 0 0 1 1.703 2.21l-1.223 2.11a.685.685 0 0 0 .252.938c.33.189.75.076.941-.252l.5-.862c.202-.348.529-.597.9
2026-01-13T09:29:38
https://git-scm.com/book/tr/v2/Da%c4%9f%c4%b1t%c4%b1k-Git-%c3%96zet
Git - Özet About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Başlangıç 1.1 Sürüm Denetimi 1.2 Git’in Kısa Tarihçesi 1.3 Git Nedir? 1.4 Komut Satırı 1.5 Git’i Yüklemek 1.6 Git’i İlk Defa Kurmak 1.7 Yardım Almak 1.8 Özet 2. Git Temelleri 2.1 Bir Git Reposu Oluşturma/Kopyalama 2.2 Değişikliklerin Repoya Kaydedilmesi 2.3 Katkı Geçmişini Görüntüleme 2.4 Değişiklikleri Geri Alma 2.5 Uzak Repo ile Çalışmak 2.6 Etiketleme 2.7 Komut Kısayolu (Alias) Ayarlama 2.8 Özet 3. Git Dalları 3.1 Dallar 3.2 Kısaca Dallandırma ve Birleştirme Temelleri 3.3 Dal Yönetimi 3.4 İş Akışı Dallandırması 3.5 Uzak Dallar 3.6 Yeniden Temelleme (rebase) 3.7 Özet 4. Bir Sunucuda Git Kurma 4.1 İletişim Kuralları (Protocols) 4.2 Bir Sunucuda Git Kurma 4.3 SSH Ortak Anahtarınızı Oluşturma 4.4 Sunucu Kurma 4.5 Git Cini (Daemon) 4.6 Akıllı HTTP 4.7 GitWeb 4.8 GitLab 4.9 Üçüncü Taraf Barındırma (Hosting) Seçenekleri 4.10 Özet 5. Dağıtık Git 5.1 Dağıtık İş Akışları 5.2 Projenin Gelişiminde Rol Almak 5.3 Bir Projeyi Yürütme 5.4 Özet 6. GitHub 6.1 Bir Projeye Katkıda Bulunmak 6.2 Proje Bakımı 6.3 Kurumsal Yönetim 6.4 GitHub’ı otomatikleştirme 6.5 Özet 7. Git Araçları 7.1 Düzeltme Seçimi 7.2 Etkileşimli İzlemleme (Staging) 7.3 Saklama ve Silme 7.4 Çalışmanızı İmzalama 7.5 Arama 7.6 Geçmişi Yeniden Yazma 7.7 Reset Komutunun Gizemleri 7.8 İleri Seviye Birleştirme 7.9 Rerere 7.10 Git’le Hata Ayıklama 7.11 Alt Modüller 7.12 Demetleme (Bundling) 7.13 Git Nesnesini Değiştirme 7.14 Kimlik Bilgisi Depolama 7.15 Özet 8. Git’i Özelleştirmek 8.1 Git Yapılandırması 8.2 Git Nitelikleri 8.3 Git Kancaları (Hooks) 8.4 Bir Örnek: Mecburi Git Politikası 8.5 Özet 9. Git ve Diğer Sistemler 9.1 İstemci Olarak Git 9.2 Git’e Geçiş 9.3 Özet 10. Dahili Git Ögeleri 10.1 Tesisat ve Döşeme (Plumbing ve Porcelain) 10.2 Git Nesneleri 10.3 Git Referansları 10.4 Packfiles 10.5 Refspec 10.6 Transfer Protokolleri 10.7 Bakım ve Veri Kurtarma 10.8 Ortam Değişkenleri 10.9 Özet A1. Ek bölüm A: Diğer Ortamlarda Git A1.1 Görsel Arayüzler A1.2 Visual Studio ile Git A1.3 Visual Studio Code ile Git A1.4 Eclipse ile Git A1.5 Sublime Text ile Git A1.6 Bash ile Git A1.7 Zsh ile Git A1.8 PowerShell ile Git A1.9 Özet A2. Ek bölüm B: Git’i Uygulamalarınıza Gömmek A2.1 Git Komut Satırı A2.2 Libgit2 A2.3 JGit A2.4 go-git A2.5 Dulwich A3. Ek bölüm C: Git Komutları A3.1 Kurulum ve Yapılandırma Komutları A3.2 Proje Oluşturma Komutları A3.3 Kısaca Poz (Snapshot) Alma A3.4 Dallandırma ve Birleştirme Komutları A3.5 Projeleri Paylaşma ve Güncelleme Komutları A3.6 İnceleme ve Karşılaştırma Komutları A3.7 Hata Ayıklama (Debugging) Komutları A3.8 Yamalama (Patching) A3.9 E-Posta Komutları A3.10 Harici Sistemler A3.11 Yönetim A3.12 Tesisat (Plumbing) Komutları 2nd Edition 5.4 Dağıtık Git - Özet Özet Artık Git’te bir projeye katkıda bulunma ve kendi projenizi veya diğer kullanıcıların katkılarını entegre etme konusunda oldukça rahat hissediyor olmalısınız. Artık etkili bir Git geliştiricisi olduğunuz için sizi kutlarız! Bir sonraki bölümde, en büyük ve en popüler Git barındırma hizmeti olan GitHub’ı nasıl kullanacağınızı öğreneceksiniz. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://dri.es/drupal-association-organization-chart-2008-wishlist
Drupal Association organization chart whishlist | Dries Buytaert Dries Buytaert Blog Projects Photos About Drupal Association organization chart whishlist As you might have read, we're in the process of electing next year's Board of Directors for the Drupal Association . I've already posted the the Drupal community's wishlist for the Drupal Association , but I wanted to follow up with my personal thoughts as well. The chart below depicts an overview of the Drupal Association's Board of Directors in 2007; the green positions were filled in 2007. The graph also shows what I think would be important positions for 2008; the green and the white graphs are positions that I'd like to see filled in 2008 (except for the President, the Treasurer and the Secretary who have terms of two years and who get to run for another year). See also: larger version of the organizational chart . Here is an overview of what would be the primary areas of responsibility for each of the Board of Directors positions that I envision: President . Provides guidance and assists with developing and implementing the (annual) goals and objectives of the Drupal Association as set out by the Board of Directors and the General Assembly. Chairs meetings of the Board of Directors and helps assure that the Board of Directors fulfills its responsibilities. Treasurer . Manages the financial assets and liabilities of the Drupal Association. Interacts with the accountants and bookkeepers, and makes sure that the Drupal Association is on track with regard to overall budget. Secretary . Responsible for keeping the minutes of the Board meetings and the General Assembly. The role of the minutes is to serve as a legal record so making sure the minutes are accurate and complete is an important responsibility. Fundraising director . Drafts a fundraising plan and coordinates the execution of it. Should target to raise at least 200,000 EUR/year through numerous channels. This money will be used to organize Drupal events, to purchase hardware, to pay for expenses, etc. Events director . Responsible for making at least two global Drupal events happen; one Drupal conference in Europe and one Drupal conference in North America. Also responsible for supporting local Drupal events such as Drupal user group meetings and DrupalCamps. Manages an event budget and works with local teams of volunteers and professional event organizers to make things happen. Communications director . Responsible for communicating the Drupal Association's activities to the Drupal community, and for improving Drupal's outreach in general. Writes drupal.org announcements and responds to inquiries from the Drupal community or the press. Legal affairs director . Works with the Software Freedom Law Center to provide legal representation and other law-related services to the Drupal community. Infrastructure director . Responsible for keeping the servers running and making sure that we can coop with our growth. Also responsible for the software running on those servers, including the many Drupal installations. Manages an infrastructure budget, coordinates a team of site maintainers and infrastructure maintainers and works closely with the Open Source Lab . Drupal.org redesign director . As a special project for 2008, the Drupal Association would like to redesign the Drupal.org website. The redesign director would act as the principal project manager to make that happen. Manages a Drupal.org redesign budget, and works with the Drupal community, design firms, usability firms and developers to refurbish our home. Instead of just being the Drupal.org redesign director , he or she could also be the Technical project director that is in charge of all the technical work related to the Drupal Association. Also, the chart incorporates the idea of having the Community Ambassadors be involved more structurally. This idea has been proposed a couple of times in 2007, and I think roles like 'Assistant treasurer' would help us explore those ideas. Ultimately, it is up to the individual Directors to invite other people to help them out. What is important is not the hierarchy (that is an artifact of organization charts), but rather that we've framed some roles and responsibilities. There has to be some structure so we can divide up the work to be done and so we know who is accountable for what. So if we can't fill all positions in 2008, that is OK. Or if the final positions differ from the positions on the chart, that is not necessarily a problem either. At the end of the day, we always have to match the capabilities of the people to our goals – and not the other way around. So if you are interested in helping to drive Drupal's explosive growth or if you want to help make a change in this world, you can submit your candidacy by following the instructions on drupal.org . — Dries Buytaert Join 5,000+ readers. Two decades building Drupal and Acquia. Thoughts on Open Source, technology, and business. Subscribe Subscribe via RSS · Email me Calendar icon December 27, 2007 Clock icon 3 min read time Tag icon Drupal Drupal Association db
2026-01-13T09:29:38
https://support.microsoft.com/ja-jp/office/shifts-%E3%81%A8%E3%81%AF%E4%BD%95%E3%81%A7%E3%81%99%E3%81%8B-f8efe6e4-ddb3-4d23-b81b-bb812296b821
Shifts &#x3068;&#x306F;&#x4F55;&#x3067;&#x3059;&#x304B;? - Microsoft &#x30B5;&#x30DD;&#x30FC;&#x30C8; 関連トピック &times; Microsoft Teams &#x30D3;&#x30C7;&#x30AA; &#x30C8;&#x30EC;&#x30FC;&#x30CB;&#x30F3;&#x30B0; Microsoft Teams &#x30AF;&#x30A4;&#x30C3;&#x30AF; &#x30B9;&#x30BF;&#x30FC;&#x30C8; Microsoft Teams &#x3068;&#x306F; &#x30B5;&#x30A4;&#x30F3;&#x30A4;&#x30F3;&#x3057;&#x3066;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x3084;&#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x306E;&#x5171;&#x6709;&#x3092;&#x884C;&#x3046; &#x5171;&#x540C;&#x4F5C;&#x696D; &#x8A73;&#x7D30;&#x60C5;&#x5831; Microsoft Teams &#x3078;&#x306E;&#x5C0E;&#x5165; Microsoft Teams &#x306E;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x306E;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30A2;&#x30D7;&#x30EA;&#x306E;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30C1;&#x30FC;&#x30E0;&#x3092;&#x30BB;&#x30C3;&#x30C8;&#x30A2;&#x30C3;&#x30D7;&#x3057;&#x3066;&#x30AB;&#x30B9;&#x30BF;&#x30DE;&#x30A4;&#x30BA;&#x3059;&#x308B; &#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3092;&#x4F7F;&#x7528;&#x3057;&#x3066;&#x30C1;&#x30FC;&#x30E0;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x5916;&#x90E8;&#x30B2;&#x30B9;&#x30C8;&#x3068;&#x5354;&#x529B;&#x3059;&#x308B; &#x30C1;&#x30FC;&#x30E0;&#x8A2D;&#x5B9A;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x30C1;&#x30FC;&#x30E0;&#x3068;&#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x3067;&#x306E;&#x5171;&#x540C;&#x4F5C;&#x696D; &#x30D2;&#x30F3;&#x30C8;: &#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x306B;&#x96FB;&#x5B50;&#x30E1;&#x30FC;&#x30EB;&#x3092;&#x9001;&#x4FE1;&#x3059;&#x308B; Planner &#x3092;&#x4F7F;&#x7528;&#x3057;&#x3066;&#x30D7;&#x30E9;&#x30F3;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x6295;&#x7A3F;&#x3068;&#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x3092;&#x64CD;&#x4F5C;&#x3059;&#x308B; &#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x3092;&#x8907;&#x6570;&#x306E;&#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x306B;&#x6295;&#x7A3F;&#x3059;&#x308B; &#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x3092;&#x691C;&#x7D22;&#x3059;&#x308B; &#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x3092;&#x30A2;&#x30C3;&#x30D7;&#x30ED;&#x30FC;&#x30C9;&#x3057;&#x3066;&#x5171;&#x6709;&#x3059;&#x308B; &#x30E6;&#x30FC;&#x30B6;&#x30FC;&#x3068;&#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x306E;&#x691C;&#x7D22;&#x3068;&#x30D5;&#x30A3;&#x30EB;&#x30BF;&#x30FC;&#x51E6;&#x7406; &#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x306E;&#x691C;&#x7D22;&#x3001;&#x30D5;&#x30A3;&#x30EB;&#x30BF;&#x30FC;&#x51E6;&#x7406;&#x3092;&#x884C;&#x3046; Teams &#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x306E;&#x30D2;&#x30F3;&#x30C8; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x304A;&#x3088;&#x3073;&#x901A;&#x8A71;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; Teams &#x901A;&#x8A71;&#x306E;&#x6982;&#x8981; &#x901A;&#x8A71;&#x3092;&#x767A;&#x4FE1;&#x3059;&#x308B; Teams &#x901A;&#x8A71;&#x306E;&#x30D2;&#x30F3;&#x30C8; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x3092;&#x975E;&#x8868;&#x793A;&#x306B;&#x3057;&#x3066;&#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x3092;&#x524A;&#x9664;&#x3059;&#x308B; &#x96FB;&#x8A71;&#x3092;&#x53D7;&#x3051;&#x308B;&#x305F;&#x3081;&#x306E;&#x4EE3;&#x7406;&#x4EBA;&#x3092;&#x8A2D;&#x5B9A;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; Teams &#x3067;&#x306E;&#x4F1A;&#x8B70;&#x306B;&#x53C2;&#x52A0;&#x3059;&#x308B; Teams &#x4F1A;&#x8B70;&#x306E;&#x30D2;&#x30F3;&#x30C8; &#x3059;&#x3050;&#x306B;&#x4F1A;&#x8B70;&#x3092;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x30A6;&#x30A7;&#x30D3;&#x30CA;&#x30FC;&#x3092;&#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x4E2D;&#x306B;&#x81EA;&#x5206;&#x306E;&#x753B;&#x9762;&#x3092;&#x5171;&#x6709;&#x3059;&#x308B; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x3092;&#x8A2D;&#x5B9A;&#x3057;&#x3066;&#x53C2;&#x52A0;&#x3059;&#x308B; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x3092;&#x8A08;&#x753B;&#x3057;&#x3066;&#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x8A2D;&#x5B9A;&#x3059;&#x308B; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x306E;&#x4F5C;&#x6210; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x306B;&#x53C2;&#x52A0;&#x3059;&#x308B; Q &amp; A &#x306E;&#x7BA1;&#x7406; &#x30A2;&#x30D7;&#x30EA;&#x3068;&#x30C4;&#x30FC;&#x30EB;&#x3092;&#x63A2;&#x7D22;&#x3059;&#x308B; &#x30A2;&#x30D7;&#x30EA;&#x3092;&#x691C;&#x7D22;&#x3057;&#x3066;&#x4F7F;&#x7528;&#x3059;&#x308B; Shifts &#x3092;&#x4F7F;&#x7528;&#x3057;&#x3066;&#x30C1;&#x30FC;&#x30E0;&#x306E;&#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; Shifts &#x3068;&#x306F; &#x30B7;&#x30D5;&#x30C8; &#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; Shifts &#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x627F;&#x8A8D;&#x3068;&#x306F;&#x4F55;&#x3067;&#x3059;&#x304B;? &#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x304B;&#x3089;&#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x96FB;&#x5B50;&#x7F72;&#x540D;&#x306E;&#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x627F;&#x8A8D;&#x3067;&#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3092;&#x898B;&#x3064;&#x3051;&#x308B; &#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3067;&#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x7D44;&#x7E54;&#x5171;&#x901A;&#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; Microsoft Bookings &#x306E;&#x4EEE;&#x60F3;&#x4E88;&#x5B9A; &#x4EEE;&#x60F3;&#x4E88;&#x5B9A;&#x3068;&#x306F; &#x5916;&#x90E8;&#x30B2;&#x30B9;&#x30C8;&#x306B; SMS &#x30C6;&#x30AD;&#x30B9;&#x30C8;&#x901A;&#x77E5;&#x3092;&#x9001;&#x4FE1;&#x3059;&#x308B; &#x4E88;&#x5B9A;&#x3092;&#x5B9F;&#x65BD;&#x3057;&#x307E;&#x3059; &#x4E88;&#x5B9A;&#x3092;&#x958B;&#x304F; &#x30A2;&#x30AF;&#x30C6;&#x30A3;&#x30D3;&#x30C6;&#x30A3; &#x30D5;&#x30A3;&#x30FC;&#x30C9;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x901A;&#x77E5;&#x8A2D;&#x5B9A;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x306E; Teams &#x5916;&#x51FA;&#x5148;&#x3067;&#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x4F1A;&#x8B70;&#x306B;&#x53C2;&#x52A0;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x306E;&#x30A2;&#x30AF;&#x30C6;&#x30A3;&#x30D3;&#x30C6;&#x30A3; &#x30D5;&#x30A3;&#x30FC;&#x30C9; メイン コンテンツへスキップ Microsoft サポート サポート サポート ホーム Microsoft 365 Office Teams のサポート トピック 会議 チャット 通知と設定 チームとチャネル 通話とデバイス ファイル アプリとサービス クイック スタート チャット グループ チャット 通知 Teams チャネル 通話 ファイル アプリ Loop コンポーネント 新機能 リソース ビデオ トレーニング トラブルシューティング こちらの Teams アクセシビリティ プラットフォームごとの Teams 機能 Microsoft Teams (無料版) コミュニティ フォーラム 技術コミュニティのブログ 講師主導のトレーニング 管理者と IT 担当者向け 教育向け 表示数を増やす Microsoft 365 を購入 すべての Microsoft 製品 Global Microsoft 365 Teams Copilot Windows Surface Xbox セール 法人向け サポート ソフトウェア ソフトウェア Windows アプリ AI OneDrive Outlook Skype から Teams への移行 OneNote Microsoft Teams PC とデバイス PC とデバイス Xbox を購入する アクセサリ エンタメ エンタメ Xbox Game Pass Ultimate Xbox とゲーム PC ゲーム 法人向け 法人向け Microsoft Security Azure Dynamics 365 一般法人向け Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 開発者 &amp; IT 開発者 &amp; IT Microsoft 開発者 Microsoft Learn AI マーケットプレース アプリのサポート Microsoft Tech Community Microsoft Marketplace Visual Studio Marketplace Rewards その他 その他 Microsoft Rewards 無料ダウンロード &amp; セキュリティ 教育 プリペイド カード ライセンス サイトマップの表示 検索 ヘルプを検索する 一致するものがありません キャンセル サインイン Microsoft アカウントでサインイン サインインまたはアカウントを作成してください。 こんにちは、 別のアカウントを選択してください。 複数のアカウントがあります サインインに使用するアカウントを選択してください。 関連トピック Microsoft Teams &#x30D3;&#x30C7;&#x30AA; &#x30C8;&#x30EC;&#x30FC;&#x30CB;&#x30F3;&#x30B0; Microsoft Teams &#x30AF;&#x30A4;&#x30C3;&#x30AF; &#x30B9;&#x30BF;&#x30FC;&#x30C8; Microsoft Teams &#x3068;&#x306F; &#x30B5;&#x30A4;&#x30F3;&#x30A4;&#x30F3;&#x3057;&#x3066;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x3084;&#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x306E;&#x5171;&#x6709;&#x3092;&#x884C;&#x3046; &#x5171;&#x540C;&#x4F5C;&#x696D; &#x8A73;&#x7D30;&#x60C5;&#x5831; Microsoft Teams &#x3078;&#x306E;&#x5C0E;&#x5165; Microsoft Teams &#x306E;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x306E;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30A2;&#x30D7;&#x30EA;&#x306E;&#x4F7F;&#x7528;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x30C1;&#x30FC;&#x30E0;&#x3092;&#x30BB;&#x30C3;&#x30C8;&#x30A2;&#x30C3;&#x30D7;&#x3057;&#x3066;&#x30AB;&#x30B9;&#x30BF;&#x30DE;&#x30A4;&#x30BA;&#x3059;&#x308B; &#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3092;&#x4F7F;&#x7528;&#x3057;&#x3066;&#x30C1;&#x30FC;&#x30E0;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x5916;&#x90E8;&#x30B2;&#x30B9;&#x30C8;&#x3068;&#x5354;&#x529B;&#x3059;&#x308B; &#x30C1;&#x30FC;&#x30E0;&#x8A2D;&#x5B9A;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x30C1;&#x30FC;&#x30E0;&#x3068;&#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x3067;&#x306E;&#x5171;&#x540C;&#x4F5C;&#x696D; &#x30D2;&#x30F3;&#x30C8;: &#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x306B;&#x96FB;&#x5B50;&#x30E1;&#x30FC;&#x30EB;&#x3092;&#x9001;&#x4FE1;&#x3059;&#x308B; Planner &#x3092;&#x4F7F;&#x7528;&#x3057;&#x3066;&#x30D7;&#x30E9;&#x30F3;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x6295;&#x7A3F;&#x3068;&#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x3092;&#x64CD;&#x4F5C;&#x3059;&#x308B; &#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x3092;&#x8907;&#x6570;&#x306E;&#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x306B;&#x6295;&#x7A3F;&#x3059;&#x308B; &#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x3092;&#x691C;&#x7D22;&#x3059;&#x308B; &#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x3092;&#x30A2;&#x30C3;&#x30D7;&#x30ED;&#x30FC;&#x30C9;&#x3057;&#x3066;&#x5171;&#x6709;&#x3059;&#x308B; &#x30E6;&#x30FC;&#x30B6;&#x30FC;&#x3068;&#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x306E;&#x691C;&#x7D22;&#x3068;&#x30D5;&#x30A3;&#x30EB;&#x30BF;&#x30FC;&#x51E6;&#x7406; &#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x306E;&#x691C;&#x7D22;&#x3001;&#x30D5;&#x30A3;&#x30EB;&#x30BF;&#x30FC;&#x51E6;&#x7406;&#x3092;&#x884C;&#x3046; Teams &#x30D5;&#x30A1;&#x30A4;&#x30EB;&#x306E;&#x30D2;&#x30F3;&#x30C8; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x304A;&#x3088;&#x3073;&#x901A;&#x8A71;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; Teams &#x901A;&#x8A71;&#x306E;&#x6982;&#x8981; &#x901A;&#x8A71;&#x3092;&#x767A;&#x4FE1;&#x3059;&#x308B; Teams &#x901A;&#x8A71;&#x306E;&#x30D2;&#x30F3;&#x30C8; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x3092;&#x975E;&#x8868;&#x793A;&#x306B;&#x3057;&#x3066;&#x30E1;&#x30C3;&#x30BB;&#x30FC;&#x30B8;&#x3092;&#x524A;&#x9664;&#x3059;&#x308B; &#x96FB;&#x8A71;&#x3092;&#x53D7;&#x3051;&#x308B;&#x305F;&#x3081;&#x306E;&#x4EE3;&#x7406;&#x4EBA;&#x3092;&#x8A2D;&#x5B9A;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; Teams &#x3067;&#x306E;&#x4F1A;&#x8B70;&#x306B;&#x53C2;&#x52A0;&#x3059;&#x308B; Teams &#x4F1A;&#x8B70;&#x306E;&#x30D2;&#x30F3;&#x30C8; &#x3059;&#x3050;&#x306B;&#x4F1A;&#x8B70;&#x3092;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x30A6;&#x30A7;&#x30D3;&#x30CA;&#x30FC;&#x3092;&#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3059;&#x308B; &#x4F1A;&#x8B70;&#x4E2D;&#x306B;&#x81EA;&#x5206;&#x306E;&#x753B;&#x9762;&#x3092;&#x5171;&#x6709;&#x3059;&#x308B; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x3092;&#x8A2D;&#x5B9A;&#x3057;&#x3066;&#x53C2;&#x52A0;&#x3059;&#x308B; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x3092;&#x8A08;&#x753B;&#x3057;&#x3066;&#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x8A2D;&#x5B9A;&#x3059;&#x308B; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x306E;&#x4F5C;&#x6210; &#x30E9;&#x30A4;&#x30D6; &#x30A4;&#x30D9;&#x30F3;&#x30C8;&#x306B;&#x53C2;&#x52A0;&#x3059;&#x308B; Q &amp; A &#x306E;&#x7BA1;&#x7406; &#x30A2;&#x30D7;&#x30EA;&#x3068;&#x30C4;&#x30FC;&#x30EB;&#x3092;&#x63A2;&#x7D22;&#x3059;&#x308B; &#x30A2;&#x30D7;&#x30EA;&#x3092;&#x691C;&#x7D22;&#x3057;&#x3066;&#x4F7F;&#x7528;&#x3059;&#x308B; Shifts &#x3092;&#x4F7F;&#x7528;&#x3057;&#x3066;&#x30C1;&#x30FC;&#x30E0;&#x306E;&#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; Shifts &#x3068;&#x306F; &#x30B7;&#x30D5;&#x30C8; &#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; Shifts &#x30B9;&#x30B1;&#x30B8;&#x30E5;&#x30FC;&#x30EB;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x627F;&#x8A8D;&#x3068;&#x306F;&#x4F55;&#x3067;&#x3059;&#x304B;? &#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x304B;&#x3089;&#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x96FB;&#x5B50;&#x7F72;&#x540D;&#x306E;&#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x627F;&#x8A8D;&#x3067;&#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3092;&#x898B;&#x3064;&#x3051;&#x308B; &#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3067;&#x627F;&#x8A8D;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x7D44;&#x7E54;&#x5171;&#x901A;&#x30C6;&#x30F3;&#x30D7;&#x30EC;&#x30FC;&#x30C8;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; Microsoft Bookings &#x306E;&#x4EEE;&#x60F3;&#x4E88;&#x5B9A; &#x4EEE;&#x60F3;&#x4E88;&#x5B9A;&#x3068;&#x306F; &#x5916;&#x90E8;&#x30B2;&#x30B9;&#x30C8;&#x306B; SMS &#x30C6;&#x30AD;&#x30B9;&#x30C8;&#x901A;&#x77E5;&#x3092;&#x9001;&#x4FE1;&#x3059;&#x308B; &#x4E88;&#x5B9A;&#x3092;&#x5B9F;&#x65BD;&#x3057;&#x307E;&#x3059; &#x4E88;&#x5B9A;&#x3092;&#x958B;&#x304F; &#x30A2;&#x30AF;&#x30C6;&#x30A3;&#x30D3;&#x30C6;&#x30A3; &#x30D5;&#x30A3;&#x30FC;&#x30C9;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x901A;&#x77E5;&#x8A2D;&#x5B9A;&#x3092;&#x7BA1;&#x7406;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x306E; Teams &#x5916;&#x51FA;&#x5148;&#x3067;&#x30C1;&#x30E3;&#x30C3;&#x30C8;&#x3092;&#x958B;&#x59CB;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x30C1;&#x30E3;&#x30CD;&#x30EB;&#x3092;&#x4F5C;&#x6210;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x4F1A;&#x8B70;&#x306B;&#x53C2;&#x52A0;&#x3059;&#x308B; &#x5916;&#x51FA;&#x5148;&#x3067;&#x306E;&#x30A2;&#x30AF;&#x30C6;&#x30A3;&#x30D3;&#x30C6;&#x30A3; &#x30D5;&#x30A3;&#x30FC;&#x30C9; Shifts &#x3068;&#x306F;&#x4F55;&#x3067;&#x3059;&#x304B;? &#x9069;&#x7528;&#x5148; Teams Microsoft Teams 演習 Microsoft Teamsの Shifts アプリは、チームのスケジュールを作成、更新、管理するのに役立つスケジュール管理と時間追跡ツールです。   スケジュール - チームのスケジュールを作成、編集、管理します。 Shifts スケジュールでは、上部に日が表示され、チーム メンバーが左側に表示され、割り当てられたシフトが予定表に表示されます。  スケジュール設定 - Shift 設定で、スケジュール オプションを定義し、チームが使用できるようにする Shifts 機能を選択します。 グループ - スケジュール グループを追加して、ジョブの種類または場所別にスケジュール内のチーム メンバーを整理します。  Shifts - チーム メンバーにシフトを割り当てます。 最初からシフトを作成するか、既存のシフトをコピーします。 [シフトを開く ] - スケジュール内の各グループには、[ シフトを開く] 行があります 。 誰でもリクエストできる空きシフトをスケジュールに追加します。  タイム クロック - シフト設定でタイム クロックをオンにして、チームがシフトに入退出できるようにします。 要求 - 休暇、オープン シフト、シフト スワップ、オファーの要求を確認して応答します。 タグ - シフト ベースのタグを使用して、現在シフト中のユーザーとすばやく通信します。 スケジュールを発行する - スケジュール の変更が完了したら、全員が最新の状態になるようにチームと共有します。  さらに詳しく シフトの使用を開始する   Shifts でチーム スケジュールを作成する シフトのスケジュールにシフトを追加する Shifts でスケジュールを発行する シフト要求とシフトの休暇を管理する   Teams でシフトベースのタグを有効にする RSS フィードを購読する ヘルプを表示 その他のオプションが必要ですか? ディスカバー コミュニティ サブスクリプションの特典の参照、トレーニング コースの閲覧、デバイスのセキュリティ保護方法などについて説明します。 Microsoft 365 サブスクリプションの特典 Microsoft 365 のトレーニング Microsoft Security アクセシビリティ センター コミュニティは、質問をしたり質問の答えを得たり、フィードバックを提供したり、豊富な知識を持つ専門家の意見を聞いたりするのに役立ちます。 Microsoft コミュニティに問い合わせる Microsoft 技術コミュニティ Windows Insiders Microsoft 365 Insiders この情報は役に立ちましたか? はい いいえ ありがとうございます。Microsoft へのフィードバックがさらにありますか? 品質向上にご協力いただけますか? 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2026-01-13T09:29:38
https://dri.es/mollom-for-laconica
Mollom for Laconica | Dries Buytaert Dries Buytaert Blog Projects Photos About Mollom for Laconica Laconica , billed as an open-source microblogging tool similar to Twitter or Jaiku, now has its own Mollom plugin to reduce comment and posting spam. Laconica is designed to allow people in a community, company or group to exchange short messages of 140 characters or less, over the web. The Mollom plugin for Laconica is available at https://gitorious.org/laconica-mollom-plugin/mainline/trees/master, and is written in PHP. — Dries Buytaert Calendar icon August 3, 2009 Clock icon 18 sec read time Tag icon Mollom Mollom plugins db
2026-01-13T09:29:38
https://www.linkedin.com/products/veriff/?trk=products_seo_search
Veriff | LinkedIn Skip to main content LinkedIn Veriff in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in Veriff Identity Verification Software by Veriff See who's skilled in this Add as skill Learn more Report this product About The only AI-powered identity verification platform for fraud prevention, compliance, and safeguarding your customers. Build trusted digital communities, improve UX, and drive growth for your business with Veriff. Featured customers of Veriff Mamo Financial Services 20,342 followers HeyTrade Financial Services 6,727 followers Trustpilot Technology, Information and Internet 147,306 followers Monese Banking 41,962 followers Kueski Financial Services 58,245 followers Uphold Financial Services 27,665 followers VALR Financial Services 11,052 followers Blockchain.com Technology, Information and Internet 351,835 followers Webull Financial Financial Services 37,522 followers Deel Human Resources Services 686,894 followers Bolt Software Development 313,363 followers TransferGo Financial Services 26,353 followers Baanx Group Ltd Financial Services 6,260 followers SaleFish Real Estate 977 followers Joyride IT System Custom Software Development 6,257 followers Starship Technologies Consumer Services 42,164 followers Monzo Bank Banking 661,660 followers Crown Agents Bank Banking 25,911 followers Mintos Financial Services 19,256 followers SuperAwesome Software Development 21,014 followers Visa IT Services and IT Consulting 2,448,008 followers Show more Show less Similar products Microsoft Entra Verified ID Microsoft Entra Verified ID Identity Verification Software Sumsub Sumsub Identity Verification Software Signzy Signzy Identity Verification Software HyperVerge HyperVerge Identity Verification Software Shufti Shufti Identity Verification Software Persona's Unified Identity Platform Persona's Unified Identity Platform Identity Verification Software Sign in to see more Show more Show less Veriff products Age Validation Age Validation AML Screening AML Screening Anti-Money Laundering (AML) Software Biometric Authentication Biometric Authentication Database Verification Checks Database Verification Checks Fraud Intelligence Fraud Intelligence Fraud Protect Fraud Protect Identity Verification Identity Verification KYC Onboarding KYC Onboarding Proof of Address Proof of Address Show more Show less LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language
2026-01-13T09:29:38
https://git-scm.com/book/fr/v2/Git-distribu%c3%a9-R%c3%a9sum%c3%a9
Git - Résumé About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. Démarrage rapide 1.1 À propos de la gestion de version 1.2 Une rapide histoire de Git 1.3 Rudiments de Git 1.4 La ligne de commande 1.5 Installation de Git 1.6 Paramétrage à la première utilisation de Git 1.7 Obtenir de l’aide 1.8 Résumé 2. Les bases de Git 2.1 Démarrer un dépôt Git 2.2 Enregistrer des modifications dans le dépôt 2.3 Visualiser l’historique des validations 2.4 Annuler des actions 2.5 Travailler avec des dépôts distants 2.6 Étiquetage 2.7 Les alias Git 2.8 Résumé 3. Les branches avec Git 3.1 Les branches en bref 3.2 Branches et fusions : les bases 3.3 Gestion des branches 3.4 Travailler avec les branches 3.5 Branches de suivi à distance 3.6 Rebaser (Rebasing) 3.7 Résumé 4. Git sur le serveur 4.1 Protocoles 4.2 Installation de Git sur un serveur 4.3 Génération des clés publiques SSH 4.4 Mise en place du serveur 4.5 Démon (Daemon) Git 4.6 HTTP intelligent 4.7 GitWeb 4.8 GitLab 4.9 Git hébergé 4.10 Résumé 5. Git distribué 5.1 Développements distribués 5.2 Contribution à un projet 5.3 Maintenance d’un projet 5.4 Résumé 6. GitHub 6.1 Configuration et paramétrage d’un compte 6.2 Contribution à un projet 6.3 Maintenance d’un projet 6.4 Gestion d’un regroupement 6.5 Écriture de scripts pour GitHub 6.6 Résumé 7. Utilitaires Git 7.1 Sélection des versions 7.2 Indexation interactive 7.3 Remisage et nettoyage 7.4 Signer votre travail 7.5 Recherche 7.6 Réécrire l’historique 7.7 Reset démystifié 7.8 Fusion avancée 7.9 Rerere 7.10 Déboguer avec Git 7.11 Sous-modules 7.12 Empaquetage (bundling) 7.13 Replace 7.14 Stockage des identifiants 7.15 Résumé 8. Personnalisation de Git 8.1 Configuration de Git 8.2 Attributs Git 8.3 Crochets Git 8.4 Exemple de politique gérée par Git 8.5 Résumé 9. Git et les autres systèmes 9.1 Git comme client 9.2 Migration vers Git 9.3 Résumé 10. Les tripes de Git 10.1 Plomberie et porcelaine 10.2 Les objets de Git 10.3 Références Git 10.4 Fichiers groupés 10.5 La refspec 10.6 Les protocoles de transfert 10.7 Maintenance et récupération de données 10.8 Les variables d’environnement 10.9 Résumé A1. Annexe A: Git dans d’autres environnements A1.1 Interfaces graphiques A1.2 Git dans Visual Studio A1.3 Git dans Visual Studio Code A1.4 Git dans IntelliJ / PyCharm / WebStorm / PhpStorm / RubyMine A1.5 Git dans Sublime Text A1.6 Git dans Bash A1.7 Git dans Zsh A1.8 Git dans PowerShell A1.9 Résumé A2. Annexe B: Embarquer Git dans vos applications A2.1 Git en ligne de commande A2.2 Libgit2 A2.3 JGit A2.4 go-git A2.5 Dulwich A3. Commandes Git A3.1 Installation et configuration A3.2 Obtention et création des projets A3.3 Capture d’instantané basique A3.4 Création de branches et fusion A3.5 Partage et mise à jour de projets A3.6 Inspection et comparaison A3.7 Débogage A3.8 Patchs A3.9 Courriel A3.10 Systèmes externes A3.11 Administration A3.12 Commandes de plomberie 2nd Edition 5.4 Git distribué - Résumé Résumé Vous devriez à présent vous sentir à l’aise pour contribuer à un projet avec Git, mais aussi pour maintenir votre propre projet et intégrer les contributions externes. Félicitations, vous êtes un développeur Git efficace ! Au prochain chapitre, vous découvrirez des outils plus puissants pour gérer des situations complexes, qui feront de vous un maître de Git. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:38
https://dri.es/tag/my-site
My site | Dries Buytaert Dries Buytaert Blog Projects Photos About My site I started dri.es (formerly buytaert.net) in 1999 as a place to blog, share photos, and deepen my thinking. It's one of my longest-running projects. Working on my site helps me relax, so I do it regularly. These posts document that work. 2025 20 years of blogging December 31st A blog is a biography December 12th Infinite scroll with htmx November 26th Life beyond social media: a more intentional way to share photos October 8th Switching to Markdown after 20 years of HTML August 20th If a note can be public, it should be June 18th Trusting AI with my images wasn't easy February 24th Automating alt-text generation with AI February 20th I want to run AI locally. Here is why I'm not (yet). February 11th Comparing local large language models for alt-text generation Featured February 3rd 2024 My solar-powered and self-hosted website Featured October 15th Two years later: is my Web3 website still standing? Featured February 29th Spicing up my blog: venturing into new topics January 25th The Watchmaker's Approach to Web Development Featured January 3rd 2023 Why content management systems can outperform static site generators Featured March 20th Artificial Intelligence, the future of Content Management and the Web Featured February 27th 2022 A photo stream for my site Featured November 6th State of Drupal presentation (September 2022) September 28th My Drupal deployment workflow August 1st Analyzing my photography history June 13th My first Web3 webpage Featured February 24th 2021 Simple JavaScript search November 19th Securing my email with SPF, DKIM and DMARC March 16th Building a personal memex February 17th 2020 Caring for old links January 6th 2019 How to remove YouTube tracking March 26th Optimizing site performance by "lazy loading" images February 21st Optimizing site performance by reducing JavaScript and CSS February 13th 2018 Soft-launching your new Drupal theme December 30th Adding support for Dark Mode to web applications October 29th Responsive images for dri.es October 14th A fresh look for dri.es October 13th Canonical URLs March 14th RSS auto-discovery March 14th How to use Drupal 8's off-canvas dialog in your modules March 12th My POSSE plan for evolving my site February 16th To PESOS or to POSSE? Featured February 6th 2017 Clean CSS with Stylelint December 20th From buytaert.net to dri.es August 14th 2016 Buytaert.net now on Drupal 8 December 16th 2010 Playing with New Relic on Acquia Hosting December 16th What I want for my website July 6th 2005 First post! December 31st db
2026-01-13T09:29:38
https://dri.es/drupalcon-boston-registration-open
DrupalCon Boston registration open | Dries Buytaert Dries Buytaert Blog Projects Photos About DrupalCon Boston registration open The DrupalCon Boston 2008 registration is now open! You can register at http://boston2008.drupalcon.org/ . $195 USD for four days of tremendous fun, to (re-)connect with other Drupal users and developers, to share information and to learn from the best Drupal developers and Drupal companies in the world. Heck, lunches and coffee are included in the price. All run by Drupalistas, for Drupalistas so it doesn't get much better than that. And in case there is a surplus from the fees and sponsors, the Drupal Association will use that money to gear up its activities in 2008. Sign up now , because you always win! ;-) — Dries Buytaert Calendar icon January 15, 2008 Clock icon 28 sec read time Tag icon Drupal DrupalCon Drupal Association db
2026-01-13T09:29:38
https://www.linkedin.com/products/hyperverge-inc--hyperverge/?trk=products_seo_search
HyperVerge | LinkedIn Skip to main content LinkedIn HyperVerge in Asan Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Join now Sign in HyperVerge Identity Verification Software by HyperVerge See who's skilled in this Add as skill Request demo Report this product About Frictionless &amp; scalable identity verification platform and fraud check solutions for enterprises in telecom, digital lending, neobanks, BFSI, crypto, gaming, sharing economy, logistics, insurance, ed-tech, banks, fintech, etc. Our platform has onboarded more than 700 million users (9% of the world’s population) over the last 3 years. Leading enterprises use HyperVerge for: 1. Seamlessly onboarding new customers and business partners 2. Authenticating existing customers and agents 3. Identifying and stopping fraudsters The AI models of HyperVerge for real-time image and video analysis leads the market on accuracy (99.55%) and are precisely optimized for deployments in low-end phones running on 2G and 3G networks. This results in superior on-field performance, lower costs, high revenue generation for clients, and better end-user experience. We also have an ISO-30107-certified passive liveness module that translates to a faster &amp; seamless customer experience with reduced drop-offs. This product is intended for Head of Product Chief Product Officer Chief Risk Officer Head of Compliance Technical Product Manager Director of Risk Management Compliance Officer Operational Risk Specialist Product Manager Chief Operating Officer Featured customers of HyperVerge Upstox Financial Services 155,982 followers Swiggy Technology, Information and Internet 2,657,550 followers LIC Insurance 148,789 followers Groww Financial Services 834,523 followers ZestMoney Financial Services 100,068 followers Navi Financial Services 639,727 followers Vodafone Idea Limited Telecommunications 377,498 followers Bajaj Finserv Financial Services 1,179,114 followers FE CREDIT Financial Services 16,648 followers Fibe.India (Formerly EarlySalary) Financial Services 33,231 followers INDmoney Financial Services 245,188 followers CRED Financial Services 570,456 followers Jio Telecommunications 1,394,610 followers State Bank of India Banking 3,895,345 followers Show more Show less Similar products Microsoft Entra Verified ID Microsoft Entra Verified ID Identity Verification Software Sumsub Sumsub Identity Verification Software Signzy Signzy Identity Verification Software Shufti Shufti Identity Verification Software Persona's Unified Identity Platform Persona's Unified Identity Platform Identity Verification Software Veriff Veriff Identity Verification Software Sign in to see more Show more Show less LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language
2026-01-13T09:29:38
https://dri.es/drupalcon-sponsorship-effects
DrupalCon sponsorship effects | Dries Buytaert Dries Buytaert Blog Projects Photos About DrupalCon sponsorship effects In two weeks, 500 Drupalistas will come together in Szeged Hungary for this year's European DrupalCon . It will be the first Drupal conference in Central Europe . While that is a bit of an experiment, I'm excited by it as we get to preach and listen to new and different users. What is not to like about that? Even if you can't attend or if you are not doing business in Central Europe, you should still sponsor. Why? There is no denying that many Open Source conferences work by a different set of rules than traditional conferences. DrupalCon is one of them. Your sponsorship makes it possible for 500 people to get together, to get aligned, to plan, and to get actual work done. It directly enables them to add to Drupal's success. Furthermore, by setting them up for success, you're indirectly enabling tens of thousands of people world-wide. Everyone, including you, will benefit from the network effects. It would be short-sighted to only think of sponsoring DrupalCon as a means to generate direct sales leads for your business, wouldn't it? You should sponsor because you want to invest in Drupal's continued international growth and success, regardless of where you have setup shop. Thanks to all the DrupalCon Szeged sponsors that get this ! — Dries Buytaert Join 5,000+ readers. Two decades building Drupal and Acquia. Thoughts on Open Source, technology, and business. Subscribe Subscribe via RSS · Email me Calendar icon August 13, 2008 Clock icon 54 sec read time Tag icon Drupal DrupalCon Drupal Association db
2026-01-13T09:29:38
https://dri.es/mollom-my-content-monitoring-startup#tag
Mollom, my content monitoring startup | Dries Buytaert Dries Buytaert Blog Projects Photos About Mollom, my content monitoring startup After several months of private beta testing, Benjamin Schrauwen and I are happy to unveil Mollom , your partner in automated content monitoring. Mollom's purpose is to dramatically reduce the effort of keeping your websites clean and the quality of their user-generated content high. Currently, Mollom is a spam-killing, one-two punch combination of a state-of-the-art spam filter and CAPTCHA server. We are experimenting with automated content quality assessments, but these are still in an early testing phase. If you're interested in learning more about how Mollom works, check out the 'How Mollom works' page and visit the Mollom FAQs for more details. We currently provide modules for Drupal 5 and Drupal 6 . For all you developers out there who'd like to build Mollom plug-ins, we will be releasing full API documentation very soon. We would be thrilled to put your home-brew plug-in for your favorite platform on our download page . Mollom vs Akismet vs Defensio? Mollom does offer some of the same features as Akismet or Defensio , but our goal goes further than spam-blocking alone. We want to increase the overall quality of your site's content. For example, Mollom's CAPTCHA service already helps block fake user accounts, and we are experimenting with various automated content-quality assessments, including blocking obscene, violent and profane content. We have some great new features in the pipeline, so please check back with us regularly for more news or subscribe to Mollom's RSS feed . Mollom and Acquia? Mollom is a self-funded, garage-style project. I do take it very seriously, but it is nowhere near the size or scope of Acquia , which obviously remains my full-time commitment. Mollom is a separate effort for three reasons: (i) I started it a while ago, (ii) I'm working on it with a friend who is not involved with Drupal or Acquia and (iii) unlike Acquia, Mollom is reaching out to as many content management systems and web applications as we can engage (and not just Drupal). While Mollom is not associated corporately with Acquia, Acquia does intend to offer Mollom services as part of its subscription offerings. See Acquia's Caliper project . Thank you to our testers We would like to thank all of our private beta testers for their help and suggestions over the past months – you've gotten us to this important milestone, guys. Thank you! — Dries Buytaert Join 5,000+ readers. Two decades building Drupal and Acquia. Thoughts on Open Source, technology, and business. Subscribe Subscribe via RSS · Email me Calendar icon March 31, 2008 Clock icon 1 min read time Tag icon Drupal Mollom db
2026-01-13T09:29:38
https://www.linkedin.com/jobs/verified-first-jobs-worldwide
8 Verified First jobs in Worldwide Skip to main content LinkedIn Verified First in Worldwide Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Sign in Join for free Any time Any time (8) Past month (7) Past week (5) Done Company Clear text State of Michigan (4) Maker&#39;s Pride (1) Verified First (1) SiPhox Health (1) HATA (1) Done Job type Full-time (8) Done Experience level Entry level (4) Mid-Senior level (4) Done Remote On-site (7) Remote (1) Done Get notified about new Verified First jobs in Worldwide . Sign in to create job alert 8 Verified First Jobs in Worldwide Account Executive Account Executive Verified First United States 3 days ago Marketing Manager Marketing Manager HATA Federal Territory of Kuala Lumpur, Malaysia Actively Hiring 1 week ago Department of State Aide 6-E8 - Detroit W. Seven Mile #135 and other City of Detroit Branch Offices Department of State Aide 6-E8 - Detroit W. Seven Mile #135 and other City of Detroit Branch Offices State of Michigan Detroit, MI Be an early applicant 6 days ago ********** ** ***** **** *-** - (***) ******* #*** *** ***** ****** ******* ******** ********** ** ***** **** *-** - (***) ******* #*** *** ***** ****** ******* ******** ***** ** ******** *******, ** Be an early applicant 5 days ago ********** ** ***** ****** ********** */** - ********** #*** ********** ** ***** ****** ********** */** - ********** #*** ***** ** ******** **********, ** Be an early applicant 5 days ago ***** ********* *********** ***** ********* *********** *****'* ***** ******, ** 2 weeks ago ********** ******* — ****** *********** ********** ******* — ****** *********** ****** ****** **********, ** Actively Hiring 1 month ago Sign in to view all job postings Sign in Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to view more jobs Sign in Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy .
2026-01-13T09:29:38
https://aws.amazon.com/route53/resolver-dns-firewall/
Route 53 Resolver DNS Firewall Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Amazon Route 53 Overview Features Pricing Resources FAQs Networking and Content Delivery › Amazon Route 53 › Resolver DNS Firewall Amazon Route 53 Resolver DNS Firewall Block DNS queries to malicious domains and allow queries to trusted domains. Get started with Amazon Route 53 Resolver DNS Firewall Benefits Filter malicious DNS traffic Block VPCs from querying domains with suspicious content, or use a strict allowlist to limit traffic to only trusted domains. Managed domain lists Choose from one or more lists of domains managed and updated by AWS, to easily block traffic to known DNS threats. Advanced protection Block advanced threats including DNS Tunneling and Domain Generation Algorithm (DGA) based attacks, using Route 53 Resolver DNS Firewall Advanced. Learn how Airbnb uses the DNS Firewall to enhance security Play Use cases Enforce allowlisting Restrict outbound DNS traffic to only allowlisted domains, to comply with your internal security and corporate security guidelines. Filter outbound DNS traffic Block outbound traffic to suspicious domains on the Internet that may lead to loss of data through malware communications. Continuous observability Centrally log queries for blocked and alerted domains to Amazon Simple Storage Service (Amazon S3), Amazon Kinesis, or Amazon CloudWatch to audit outbound DNS traffic. Get started Getting started How to Get Started with Amazon Route 53 Resolver DNS Firewall for Amazon VPC Learn more Getting started Secure your Amazon VPC DNS resolution with Amazon Route 53 Resolver DNS Firewall Learn more Getting started How to automate updates for your domain list in Route 53 Resolver DNS Firewall Learn more Getting started Automatically block suspicious DNS activity with Amazon GuardDuty and Route 53 Resolver DNS Firewall Learn more Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? Cloud Computing Concepts Hub AWS Cloud Security What's New Blogs Press Releases Resources Getting Started Training AWS Trust Center AWS Solutions Library Architecture Center Product and Technical FAQs Analyst Reports AWS Partners Developers Builder Center SDKs &amp; Tools .NET on AWS Python on AWS Java on AWS PHP on AWS JavaScript on AWS Help Contact Us File a Support Ticket AWS re:Post Knowledge Center AWS Support Overview Get Expert Help AWS Accessibility Legal English Back to top Amazon is an Equal Opportunity Employer: Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age. x facebook linkedin instagram twitch youtube podcasts email Privacy Site terms Cookie Preferences © 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved.
2026-01-13T09:29:38
https://git-scm.com/book/zh-tw/v2/%e5%88%86%e6%95%a3%e5%bc%8f%e7%9a%84-Git-Summary
Git - Summary About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. 開始 1.1 關於版本控制 1.2 Git 的簡史 1.3 Git 基礎要點 1.4 命令列 1.5 Git 安裝教學 1.6 初次設定 Git 1.7 取得說明文件 1.8 摘要 2. Git 基礎 2.1 取得一個 Git 倉儲 2.2 紀錄變更到版本庫中 2.3 檢視提交的歷史記錄 2.4 復原 2.5 與遠端協同工作 2.6 標籤 2.7 Git Aliases 2.8 總結 3. 使用 Git 分支 3.1 簡述分支 3.2 分支和合併的基本用法 3.3 分支管理 3.4 分支工作流程 3.5 遠端分支 3.6 衍合 3.7 總結 4. 伺服器上的 Git 4.1 通訊協定 4.2 在伺服器上佈署 Git 4.3 產生你的 SSH 公鑰 4.4 設定伺服器 4.5 Git 常駐程式 4.6 Smart HTTP 4.7 GitWeb 4.8 GitLab 4.9 第3方 Git 託管方案 4.10 總結 5. 分散式的 Git 5.1 分散式工作流程 5.2 對專案進行貢獻 5.3 維護一個專案 5.4 Summary 6. GitHub 6.1 建立帳戶及設定 6.2 參與一個專案 6.3 維護專案 6.4 Managing an organization 6.5 Scripting GitHub 6.6 總結 7. Git 工具 7.1 Revision Selection 7.2 Interactive Staging 7.3 Stashing and Cleaning 7.4 Signing Your Work 7.5 Searching 7.6 Rewriting History 7.7 Reset Demystified 7.8 Advanced Merging 7.9 Rerere 7.10 Debugging with Git 7.11 Submodules 7.12 Bundling 7.13 Replace 7.14 Credential Storage 7.15 總結 8. Customizing Git 8.1 Git Configuration 8.2 Git Attributes 8.3 Git Hooks 8.4 An Example Git-Enforced Policy 8.5 Summary 9. Git and Other Systems 9.1 Git as a Client 9.2 Migrating to Git 9.3 Summary 10. Git Internals 10.1 Plumbing and Porcelain 10.2 Git Objects 10.3 Git References 10.4 Packfiles 10.5 The Refspec 10.6 Transfer Protocols 10.7 Maintenance and Data Recovery 10.8 Environment Variables 10.9 Summary A1. 附錄 A: Git in Other Environments A1.1 Graphical Interfaces A1.2 Git in Visual Studio A1.3 Git in Eclipse A1.4 Git in Bash A1.5 Git in Zsh A1.6 Git in Powershell A1.7 Summary A2. 附錄 B: Embedding Git in your Applications A2.1 Command-line Git A2.2 Libgit2 A2.3 JGit A3. 附錄 C: Git Commands A3.1 Setup and Config A3.2 Getting and Creating Projects A3.3 Basic Snapshotting A3.4 Branching and Merging A3.5 Sharing and Updating Projects A3.6 Inspection and Comparison A3.7 Debugging A3.8 Patching A3.9 Email A3.10 External Systems A3.11 Administration A3.12 Plumbing Commands 2nd Edition 5.4 分散式的 Git - Summary Summary You should feel fairly comfortable contributing to a project in Git as well as maintaining your own project or integrating other users' contributions. Congratulations on being an effective Git developer! In the next chapter, you’ll learn about how to use the largest and most popular Git hosting service, GitHub. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:39
https://git-scm.com/book/zh/v2/%e5%88%86%e5%b8%83%e5%bc%8f-Git-%e6%80%bb%e7%bb%93
Git - 总结 About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. 起步 1.1 关于版本控制 1.2 Git 简史 1.3 Git 是什么? 1.4 命令行 1.5 安装 Git 1.6 初次运行 Git 前的配置 1.7 获取帮助 1.8 总结 2. Git 基础 2.1 获取 Git 仓库 2.2 记录每次更新到仓库 2.3 查看提交历史 2.4 撤消操作 2.5 远程仓库的使用 2.6 打标签 2.7 Git 别名 2.8 总结 3. Git 分支 3.1 分支简介 3.2 分支的新建与合并 3.3 分支管理 3.4 分支开发工作流 3.5 远程分支 3.6 变基 3.7 总结 4. 服务器上的 Git 4.1 协议 4.2 在服务器上搭建 Git 4.3 生成 SSH 公钥 4.4 配置服务器 4.5 Git 守护进程 4.6 Smart HTTP 4.7 GitWeb 4.8 GitLab 4.9 第三方托管的选择 4.10 总结 5. 分布式 Git 5.1 分布式工作流程 5.2 向一个项目贡献 5.3 维护项目 5.4 总结 6. GitHub 6.1 账户的创建和配置 6.2 对项目做出贡献 6.3 维护项目 6.4 管理组织 6.5 脚本 GitHub 6.6 总结 7. Git 工具 7.1 选择修订版本 7.2 交互式暂存 7.3 贮藏与清理 7.4 签署工作 7.5 搜索 7.6 重写历史 7.7 重置揭密 7.8 高级合并 7.9 Rerere 7.10 使用 Git 调试 7.11 子模块 7.12 打包 7.13 替换 7.14 凭证存储 7.15 总结 8. 自定义 Git 8.1 配置 Git 8.2 Git 属性 8.3 Git 钩子 8.4 使用强制策略的一个例子 8.5 总结 9. Git 与其他系统 9.1 作为客户端的 Git 9.2 迁移到 Git 9.3 总结 10. Git 内部原理 10.1 底层命令与上层命令 10.2 Git 对象 10.3 Git 引用 10.4 包文件 10.5 引用规范 10.6 传输协议 10.7 维护与数据恢复 10.8 环境变量 10.9 总结 A1. 附录 A: 在其它环境中使用 Git A1.1 图形界面 A1.2 Visual Studio 中的 Git A1.3 Visual Studio Code 中的 Git A1.4 IntelliJ / PyCharm / WebStorm / PhpStorm / RubyMine 中的 Git A1.5 Sublime Text 中的 Git A1.6 Bash 中的 Git A1.7 Zsh 中的 Git A1.8 PowerShell 中的 Git A1.9 总结 A2. 附录 B: 在你的应用中嵌入 Git A2.1 命令行 Git 方式 A2.2 Libgit2 A2.3 JGit A2.4 go-git A2.5 Dulwich A3. 附录 C: Git 命令 A3.1 设置与配置 A3.2 获取与创建项目 A3.3 快照基础 A3.4 分支与合并 A3.5 项目分享与更新 A3.6 检查与比较 A3.7 调试 A3.8 补丁 A3.9 邮件 A3.10 外部系统 A3.11 管理 A3.12 底层命令 2nd Edition 5.4 分布式 Git - 总结 总结 你现在能自如地使用 Git 为项目做出贡献、维护自己的项目或采纳其他用户的贡献了。 恭喜你成为了一个高效的 Git 开发者! 下一章中,你将会学到如何使用规模最大最流行的 Git 托管服务,GitHub。 prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:39
https://www.microsoft.com/ko-kr/power-platform/connectors
커넥터 | 간편한 데이터 통합 | Microsoft Power Platform This is the Trace Id: 6341295eed055d290855a60cde051440 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 리소스 제품별 리소스 Power Platform 알아보기 설명서 Power Platform 항목 무료로 시작 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 Make your data work harder&lt;/h1> "> 활용도 높은 데이터 작업 커넥터를 사용하여 로우코드 솔루션의 기능을 확장하고 비즈니스 전반에 걸쳐 프로세스를 간소화하세요. 커넥터 살펴보기 드롭다운 레이블 개요 기능 고객 사례 리소스 다음 단계 개요 Get more from the solutions you create&lt;/h2> "> 직접 만드는 솔루션에서 더 많은 이점 확보 Microsoft 데이터 연결 Power Automate 클라우드 흐름 커넥터를 사용하여 Excel, Outlook 및 SharePoint와 같은 앱에서 일상적인 작업과 프로세스를 자동화하세요. 보고서, 양식, 웹 사이트의 SharePoint 데이터를 사용하여 즉각적으로 앱을 빌드하고 게시할 수 있습니다. Microsoft Dataverse 커넥터를 사용하여 가상 테이블의 기존 데이터에 연결하고 사용자 지정 Dataverse 솔루션을 만듭니다. 단일 원본 데이터 솔루션 생성 Microsoft, 타사 게시자, 독립 게시자의 커넥터를 사용해 여러 소스에서 데이터를 가져와 개별 솔루션을 만듭니다. 온프레미스 또는 클라우드에서 이전에 고립된 데이터를 가져와 결합하여 보다 강력한 솔루션을 구축합니다. Power Platform 제품과 함께 여러 원본 데이터를 사용하여 정보를 통합하고, 레거시 기능을 개선하고, 새로운 프로세스를 생성합니다. 사용자 지정 커넥터 개발 나만의 솔루션을 만들어 더 많은 API, 서비스, 시스템과도 커뮤니케이션할 수 있습니다. 커넥터를 재사용하여 개발 리소스와 시간을 절약하고, 간소화된 애플리케이션 수명 주기 관리 기능을 사용해 최신 상태로 유지합니다. 커넥터 개발자 네트워크에 가입하고 독립 게시자 인증 또는 비 Microsoft 게시자 인증을 위해 만든 항목을 제출하세요. 보안 및 거버넌스 간소화 데이터 손실 방지(DLP) 정책으로 테넌트 수준 또는 환경 수준에서 자체 데이터 거버넌스 정책을 적용합니다. Power Platform for Admins 커넥터, Power Platform 관리 센터, Power Apps PowerShell을 사용하여 비즈니스 전반에서 DLP 정책을 관리합니다. Microsoft Entra ID의 보안이 지원되는 Power Automate 클라우드 흐름 커넥터를 사용하여 여러 원본의 데이터를 통합합니다. 기능 Connect your data for greater impact&lt;/h2> "> 데이터를 연결하여 더 큰 효과 창출 여러 제품 연결 Power Platform 데이터를 다른 Microsoft 제품에 연결하세요. 자세한 정보 커넥터 라이브러리 계속 증가하는 커넥터 라이브러리에서 선택하세요. 자세한 정보 사용자 지정 커넥터 나만의 사용자 지정 커넥터 개발하기. 자세한 정보 무료 Microsoft 인증 Microsoft 인증을 위해 사용자 지정 커넥터를 제출하세요. 자세한 정보 Link your data with connectors&lt;/h2> "> 커넥터를 사용하여 데이터 연결 규모가 커지는 커넥터 라이브러리를 사용하여 생성하는 솔루션에 더 많은 기능을 제공하세요. 자세한 정보 고객 사례 Real customers. Real stories.&lt;/h2> "> 실제 고객. 실제 스토리. 이전 슬라이드 다음 슬라이드 현장 작업자의 안전 유지 FortisAlberta는 Power Apps 커넥터를 사용해 회사 데이터를 자체 사고 방지 계획 앱에 연결함으로써 프로세스를 간소화하고 현장 작업자의 위험을 줄였습니다. 방법 읽기 자동화를 통해 효율성 증대 자동화를 통해 효율성 증대 QuoteWizard는 회사 전체의 생산성 향상을 위해 Power Automate와 Azure DevOps 커넥터를 사용하여 자체 개발 발권 시스템을 자동화했습니다. 방법 읽기 급속한 성장과 연결되는 방식 급속한 성장과 연결되는 방식 Coca-Cola UNITED는 주문을 빠르게 처리하기 위해 사용자 지정 커넥터를 구축하고 통합하여 매출과 고객 신뢰도를 높였습니다. 방법 읽기 자체 보고 기반의 강화 자체 보고 기반의 강화 NOKIA의 케어 프로그램 관리 팀은 커넥터를 사용하여 보고 준비 시간을 2주에서 20분으로 단축했습니다. 방법 읽기 고객 사례 섹션으로 돌아가기 리소스 Get more information on working with connectors.&lt;/h2> "> 커넥터 작업에 대한 자세한 정보를 확인하세요. 이전 슬라이드 다음 슬라이드 Standard connectors&lt;/h3> "> 표준 커넥터 표준 커넥터를 워크플로에 통합하세요. 자세한 정보 Premium Connectors&lt;/h3> "> 프리미엄 커넥터 프리미엄 커넥터를 사용하여 솔루션을 확장하세요. 자세한 정보 Custom Connector&lt;/h3> "> 사용자 지정 커넥터 자체 트리거 및 작업으로 커넥터를 만드세요. 자세한 정보 Publish&lt;/h3> "> 게시 독립 게시자 커넥터 프로그램을 살펴보세요. 자세한 정보 리소스 섹션으로 돌아가기 다음 단계 수행 Microsoft Power Platform 사용해 보기 각 제품에 대한 무료 평가판이 포함된 로우코드 도구 Microsoft Power Platform 제안을 살펴보세요. 평가판 시작 연락 요청하기 요청을 제출하여 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락을 받으세요. 요청 보내기 Power Platform 팔로우 Microsoft 데이터 연결 단일 원본 데이터 솔루션 생성 사용자 지정 커넥터 개발 보안 및 거버넌스 간소화 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 &#169; Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: &#39;Segoe UI&#39;; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} &lt;/style> &lt;div class=&#34;ow-pro-c-container-modal proactive-chat-hidden&#34; id=&#34;proactive-chat-dialog&#34;> &lt;div class=&#34;ow-pro-c-button-container&#34;> &lt;button class=&#34;ow-pro-c-close-button c-glyph glyph-cancel&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; onclick=&#34;(window.chatInst.getProactiveChat()).toggle(false)&#34; >&lt;/button> &lt;/div> &lt;div class=&#34;ow-headinghelper-2 ow-pro-c-h-text&#34;>{{module.heading}}&lt;/div> &lt;div class=&#34;c-button f-primary ow-pro-c-p-text&#34;> {{chat-engagement.prompt}} &lt;/div> &lt;div class=&#34;ow-pro-c-image-container ow-pro-c-d-flex&#34;> &lt;img src=&#34;{{module.img-src}}&#34; alt=&#34;{{module.img-alt-txt}}&#34; class=&#34;ow-pro-c-image&#34; /> &lt;ul data-cta-count=&#34;1&#34;> &lt;li class=&#34;ow-link-wrapper&#34;> &lt;button id=&#34;chatEngagement&#34; aria-label=&#34;{{chat-engagement-aria-label}}&#34; class=&#34;c-button f-primary ow-pro-c-chat-button&#34; data-bi-cn=&#34;Chat_invite_accept&#34; data-bi-bhvr=&#34;180&#34; > &lt;span> {{chat-engagement.btn-txt}} &lt;/span> &lt;/button> &lt;/li> &lt;/ul> &lt;button id=&#34;chatDisengagement&#34; class=&#34;ow-pro-c-button-glyph-container ow-pro-c-d-flex&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; > &lt;div class=&#34;ow-pro-c-no-button&#34;>{{chat-disengagement.btn-txt}}&lt;/div> &lt;div class=&#34;ow-pro-c-no-button c-glyph glyph-cancel&#34;>&lt;/div> &lt;/button> &lt;/div> &lt;/div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:39
https://git-scm.com/book/ko/v2/%eb%b6%84%ec%82%b0-%ed%99%98%ea%b2%bd%ec%97%90%ec%84%9c%ec%9d%98-Git-%ec%9a%94%ec%95%bd
Git - 요약 About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. 시작하기 1.1 버전 관리란? 1.2 짧게 보는 Git의 역사 1.3 Git 기초 1.4 CLI 1.5 Git 설치 1.6 Git 최초 설정 1.7 도움말 보기 1.8 요약 2. Git의 기초 2.1 Git 저장소 만들기 2.2 수정하고 저장소에 저장하기 2.3 커밋 히스토리 조회하기 2.4 되돌리기 2.5 리모트 저장소 2.6 태그 2.7 Git Alias 2.8 요약 3. Git 브랜치 3.1 브랜치란 무엇인가 3.2 브랜치와 Merge 의 기초 3.3 브랜치 관리 3.4 브랜치 워크플로 3.5 리모트 브랜치 3.6 Rebase 하기 3.7 요약 4. Git 서버 4.1 프로토콜 4.2 서버에 Git 설치하기 4.3 SSH 공개키 만들기 4.4 서버 설정하기 4.5 Git 데몬 4.6 스마트 HTTP 4.7 GitWeb 4.8 GitLab 4.9 또 다른 선택지, 호스팅 4.10 요약 5. 분산 환경에서의 Git 5.1 분산 환경에서의 워크플로 5.2 프로젝트에 기여하기 5.3 프로젝트 관리하기 5.4 요약 6. GitHub 6.1 계정 만들고 설정하기 6.2 GitHub 프로젝트에 기여하기 6.3 GitHub 프로젝트 관리하기 6.4 Organization 관리하기 6.5 GitHub 스크립팅 6.6 요약 7. Git 도구 7.1 리비전 조회하기 7.2 대화형 명령 7.3 Stashing과 Cleaning 7.4 내 작업에 서명하기 7.5 검색 7.6 히스토리 단장하기 7.7 Reset 명확히 알고 가기 7.8 고급 Merge 7.9 Rerere 7.10 Git으로 버그 찾기 7.11 서브모듈 7.12 Bundle 7.13 Replace 7.14 Credential 저장소 7.15 요약 8. Git맞춤 8.1 Git 설정하기 8.2 Git Attributes 8.3 Git Hooks 8.4 정책 구현하기 8.5 요약 9. Git과 여타 버전 관리 시스템 9.1 Git: 범용 Client 9.2 Git으로 옮기기 9.3 요약 10. Git의 내부 10.1 Plumbing 명령과 Porcelain 명령 10.2 Git 개체 10.3 Git Refs 10.4 Packfile 10.5 Refspec 10.6 데이터 전송 프로토콜 10.7 운영 및 데이터 복구 10.8 환경변수 10.9 요약 A1. 부록 A: 다양한 환경에서 Git 사용하기 A1.1 GUI A1.2 Visual Studio A1.3 Eclipse A1.4 Bash A1.5 Zsh A1.6 Git in Powershell A1.7 요약 A2. 부록 B: 애플리케이션에 Git 넣기 A2.1 Git 명령어 A2.2 Libgit2 A2.3 JGit A2.4 go-git A3. 부록 C: Git 명령어 A3.1 설치와 설정 A3.2 프로젝트 가져오기와 생성하기 A3.3 스냅샷 다루기 A3.4 Branch와 Merge A3.5 공유하고 업데이트하기 A3.6 보기와 비교 A3.7 Debugging A3.8 Patch 하기 A3.9 Email A3.10 다른 버전 관리 시스템 A3.11 관리 A3.12 Plumbing 명령어 2nd Edition 5.4 분산 환경에서의 Git - 요약 요약 이제 Git 프로젝트에 기여하고, 자신의 프로젝트를 운영하고, 다른 사람이 기여한 내용을 통합하는 것 정도는 쉽게 할 수 있을 것이다. 일단 쓸만한 Git 개발자가 된 것을 축하한다. 다음 장에서 Git을 호스팅하는 가장 대중적이고 가장 큰 서비스인 GitHub에 대해 살펴볼 것이다. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:39
https://www.drupal.org/project/globallink
GlobalLink Connect for Drupal | Drupal.org Skip to main content Skip to search Can we use first and third party cookies and web beacons to understand our audience, and to tailor promotions you see ? Yes, please No, do not track me Drupal.org home Discover Drupal Drupal Core Drupal CMS Drupal AI Case Studies Drupal for Government Drupal for Higher Education Drupal for Nonprofit Drupal for eCommerce Drupal for FinTech Drupal for Healthcare Drupal for Enterprise Drupal for Retail Drupal for Travel &amp; Tourism Build with Drupal Download Drupal Documentation Getting started Local Development Guide Developer Resources Drupal CMS User Guide Drupal User Guide API Modules Themes Distributions Issue queues Security Advisories Partners &amp; Services Find a Drupal Certified Partner Become a Drupal Certified Partner Find a Hosting Provider Find a Migration Partner Find Training Drupal Steward Community About the Community How to Contribute DrupalCon Events Jobs / Careers News &amp; Blogs Forum Slack Newsletters Drupal Swag Shop Support Drupal The Drupal Association Donate Become a Partner Become a Ripple Maker Become an Organization Member Drupal Swag Shop Get Started Try Drupal CMS Try Hosting Return to content Search form Search Log in Create account Still on Drupal 7? Security support for Drupal 7 ended on 5 January 2025. Please visit our Drupal 7 End of Life resources page to review all of your options. Migration Resource Center Modules GlobalLink Connect for Drupal Primary tabs View (active tab) Version control 5 people starred this project Introduction This module connects Drupal 8.x and 9.x to Translations.com's translation management system, GlobalLink. You will need a Translations.com account to connect your Drupal site to their GlobalLink product. Additionally, the Drupal 8.x and 9.x integration relies on integration via the Translation Management Tool module ( found here ). GlobalLink® Connect for Drupal GlobalLink Connect provides an all-in-one solution to initiate, automate, control, track, and complete all facets of the translation process. The unique combination of Drupal and the extended localization workflow capabilities of GlobalLink provide Drupal users with a comprehensive solution for managing global enterprise content with minimal effort and virtually no IT overhead. When combined with GlobalLink AI, Drupal users cut costs and time-to-market even further while still maintaining a high quality. Features Seamless Integration - Scheduled or on-demand translation via the UI. On-Demand Analytics - Get a dashboard view of translation spend and other KPI’s. Vendor Management - Use internal or external translation resources. Flexible Workflows - Use machine translation, human translation, or both. Rapid ROI - Reduce IT involvement and eliminate project management overhead. Installation Drupal 8.x and 9.x Do not use manual download for installation. Use Composer to download all dependencies. composer config repositories.drupal composer https://packages.drupal.org/8 composer require drupal/globallink Support Questions regarding this module? Need a Translations.com account? Contact us at: drupal@translations.com Supporting organizations:&nbsp; Translations.com Development MD Systems GmbH Development Project information Project categories: Multilingual 74 sites report using this module Created by jemond on 10 December 2015 , updated 1 March 2021 Stable releases for this project are covered by the security advisory policy . Look for the shield icon below. Releases 8.x-2.7 released 12 February 2025 Works with Drupal: ^8.8 || ^9 || ^10 || ^11 Drupal 11 compatibility Install: composer require 'drupal/globallink:^2.7' Development version: 8.x-2.x-dev updated 12 Feb 2025 at 14:24 UTC Using Composer to manage Drupal site dependencies View all releases Maintainers berdir iaps jemond miro_dietiker mloayza Translationscom vaibhavk81 justin7griffin sarigaraghunath JackStoneDev anupom.gogoi dnelson-tdc mrmikedewolf nupur.lohokare Issues for GlobalLink Connect for Drupal To avoid duplicates, please search before submitting a new issue. Search Advanced search All issues 32 open , 2 RTBC , 68 total Bug report 14 open , 35 total Statistics New issues Response rate % 1st response hours Open bugs Participants 2 year graph, updates weekly Resources Home page Read license View project translations Development Source code Issues Commit log GitLab activity Report a security vulnerability View change records Infrastructure management for Drupal.org provided by Need a Drupal 7 extended support partner? Consider Tag1. News items News Planet Drupal Social media Sign up for Drupal news Security advisories Jobs Our community Community Services , Training & Hosting Contributor guide Groups &amp; meetups DrupalCon Code of conduct Documentation Documentation Drupal Guide Drupal User Guide Developer docs API.Drupal.org Drupal code base Download &amp; Extend Drupal core Modules Themes Distributions Governance of community About Web accessibility Drupal Association About Drupal.org Terms of service Privacy policy Drupal is a registered trademark of Dries Buytaert .
2026-01-13T09:29:39
https://www.drupal.org/u/jemond#block-system-user-menu
jemond | Drupal.org Skip to main content Skip to search Can we use first and third party cookies and web beacons to understand our audience, and to tailor promotions you see ? Yes, please No, do not track me Drupal.org home Discover Drupal Drupal Core Drupal CMS Drupal AI Case Studies Drupal for Government Drupal for Higher Education Drupal for Nonprofit Drupal for eCommerce Drupal for FinTech Drupal for Healthcare Drupal for Enterprise Drupal for Retail Drupal for Travel &amp; Tourism Build with Drupal Download Drupal Documentation Getting started Local Development Guide Developer Resources Drupal CMS User Guide Drupal User Guide API Modules Themes Distributions Issue queues Security Advisories Partners &amp; Services Find a Drupal Certified Partner Become a Drupal Certified Partner Find a Hosting Provider Find a Migration Partner Find Training Drupal Steward Community About the Community How to Contribute DrupalCon Events Jobs / Careers News &amp; Blogs Forum Slack Newsletters Drupal Swag Shop Support Drupal The Drupal Association Donate Become a Partner Become a Ripple Maker Become an Organization Member Drupal Swag Shop Get Started Try Drupal CMS Try Hosting Return to content Search form Search Log in Create account Still on Drupal 7? Security support for Drupal 7 ended on 5 January 2025. Please visit our Drupal 7 End of Life resources page to review all of your options. Migration Resource Center Justin Emond (jemond) DrupalCode profile Posts on Drupal.org Starred projects United States LinkedIn Twitter Current Role(s):&nbsp; CEO Professional Info Companies Worked For Urban Insight , University of Southern California http://www.justinemond.com Personal Info Other languages:&nbsp; English On Drupal.org for 18 years 3 months Bio:&nbsp; Justin is the CEO of Third and Grove , a digital innovation studio and a published author . With over a decade building technology solutions for clients Justin has worked with a broad range of clients in government, education, nonprofit, publishing, retail, and insurance industries. Justin was an adjunct professor at the USC Viterbi School of Engineering where he taught undergraduate courses on project management and software engineering. Justin is a Acquia Certified Developer . ✓ Can opt projects into security advisory coverage Drupal Contributions:&nbsp; Droptor Events spoken at DrupalCon Portland 2022 Areas of Expertise:&nbsp; Module developer Site builder Themer Project Manager Drupal events:&nbsp; DrupalCon DC 2009 DrupalCon Chicago 2011 DrupalCon Denver 2012 DrupalCon Austin 2014 DrupalCon Los Angeles 2015 Credits on security advisories View all security advisories Credits on issues View all issues Projects maintained Cache Bypass Path Content Finder Droptor GlobalLink Connect for Drupal Hybris Drupal Integration Magento Integration Personalize Pages Personalize Panels Reverse Proxy Check Textmarks API Integration User Scheduled Delete Whammy Bar Top Tier Drupal Certified Partner from Third and Grove My mentors:&nbsp; science One person lists jemond as a mentor I contributed Drupal patches I contributed Drupal modules I contributed to Drupal issue queues I provide Drupal-related services I help mentor new contributors News items News Planet Drupal Social media Sign up for Drupal news Security advisories Jobs Our community Community Services , Training & Hosting Contributor guide Groups &amp; meetups DrupalCon Code of conduct Documentation Documentation Drupal Guide Drupal User Guide Developer docs API.Drupal.org Drupal code base Download &amp; Extend Drupal core Modules Themes Distributions Governance of community About Web accessibility Drupal Association About Drupal.org Terms of service Privacy policy Drupal is a registered trademark of Dries Buytaert .
2026-01-13T09:29:39
https://google.github.io/adk-docs/get-started/#get-started
Get started - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Get started Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Build Agents Get Started Get started &para; Agent Development Kit (ADK) is designed to empower developers to quickly build, manage, evaluate and deploy AI-powered agents. These quick start guides get you set up and running a simple agent in less than 20 minutes. Python Quickstart Create your first Python ADK agent in minutes. Start with Python Go Quickstart Create your first Go ADK agent in minutes. Start with Go Java Quickstart Create your first Java ADK agent in minutes. Start with Java TypeScript Quickstart Create your first TypeScript ADK agent in minutes. Start with TypeScript Back to top Previous Index Next Python Copyright Google 2025&nbsp;&nbsp;|&nbsp;&nbsp; Terms &nbsp;&nbsp;|&nbsp;&nbsp; Privacy &nbsp;&nbsp;|&nbsp;&nbsp; Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. With your consent, you're helping us to make our documentation better. Google Analytics GitHub Accept Manage settings
2026-01-13T09:29:39
https://www.youtube.com/watch?v=KN-JiAj8bNQ
Asset management features in Jira Service Management - YouTube 정보 보도자료 저작권 문의하기 크리에이터 광고 개발자 약관 개인정보처리방침 정책 및 안전 YouTube 작동의 원리 새로운 기능 테스트하기 &copy; 2026 Google LLC, Sundar Pichai, 1600 Amphitheatre Parkway, Mountain View CA 94043, USA, 0807-882-594 (무료), yt-support-solutions-kr@google.com, 호스팅: Google LLC, 사업자정보 , 불법촬영물 신고 크리에이터들이 유튜브 상에 게시, 태그 또는 추천한 상품들은 판매자들의 약관에 따라 판매됩니다. 유튜브는 이러한 제품들을 판매하지 않으며, 그에 대한 책임을 지지 않습니다. var ytInitialData = {"responseContext":{"serviceTrackingParams":[{"service":"CSI","params":[{"key":"c","value":"WEB"},{"key":"cver","value":"2.20260109.01.00"},{"key":"yt_li","value":"0"},{"key":"GetWatchNext_rid","value":"0x560984afc8464b6f"}]},{"service":"GFEEDBACK","params":[{"key":"logged_in","value":"0"},{"key":"visitor_data","value":"Cgs1MTFYTlV1TTRrVSj-oJjLBjIKCgJLUhIEGgAgaGLfAgrcAjE1LllUPUpaOEp1QUdTMko0cURYNkR0TVpEU0M0REhyZ0dsTDg5THNtbVlFVHhBaVVuN2RhWW1MNGxsSEdyRTdDUFl3TTVZSnpTemRkaXZFVmlia1Z3X0l5cHR4dVlmeklpVHBCdDVYa0pJSURhOG8wb25FTHdyRmdLMGNHYUhRMmYwLTYyRjlQZEt0ZDZuM1BkVlo4RmNBalljaGZEU2kyNUtfakcyd0t4M0M1dUU3a2ZKUktPcU12dHZ1d1ZMeHlCd01qVXNBWHhNVkNfU2lDQXprQmdOYnlsNVVYNTN1clZmaXp6UmpMZGtXTTBicUY3ZTJ6UXVoejlIa05Tc3JaTGxyYXJzdWNodDZnWHZHUEtvV3V4MWlYZzJEUUNyWkFta19qQ2Vpc0Vnc1JIdHdSWWx0ODZPdmNpVHBKNG1rVFY2X3dsQ0VtVUdINkVIcG1pYUNod1Q3Mk10Zw%3D%3D"}]},{"service":"GUIDED_HELP","params":[{"key":"logged_in","value":"0"}]},{"service":"ECATCHER","params":[{"key":"client.version","value":"2.20260109"},{"key":"client.name","value":"WEB"}]}],"mainAppWebResponseContext":{"loggedOut":true,"trackingParam":"kx_fmPxhoPZRXWSN0GDw8JEYL1uf8dfaPRzm_cjj4tn0r7HRgkussh7BwOcCE59TDtslLKPQ-SS"},"webResponseContextExtensionData":{"webResponseContextPreloadData":{"preloadMessageNames":["twoColumnWatchNextResults","results","videoPrimaryInfoRenderer","videoViewCountRenderer","menuRenderer","menuServiceItemRenderer","segmentedLikeDislikeButtonViewModel","likeButtonViewModel","toggleButtonViewModel","buttonViewModel","modalWithTitleAndButtonRenderer","buttonRenderer","dislikeButtonViewModel","unifiedSharePanelRenderer","menuFlexibleItemRenderer","metadataBadgeRenderer","videoSecondaryInfoRenderer","videoOwnerRenderer","subscribeButtonRenderer","subscriptionNotificationToggleButtonRenderer","menuPopupRenderer","confirmDialogRenderer","metadataRowContainerRenderer","compositeVideoPrimaryInfoRenderer","itemSectionRenderer","continuationItemRenderer","secondaryResults","lockupViewModel","thumbnailViewModel","thumbnailOverlayBadgeViewModel","thumbnailBadgeViewModel","thumbnailHoverOverlayToggleActionsViewModel","lockupMetadataViewModel","decoratedAvatarViewModel","avatarViewModel","contentMetadataViewModel","badgeViewModel","sheetViewModel","listViewModel","listItemViewModel","playerOverlayRenderer","menuNavigationItemRenderer","watchNextEndScreenRenderer","endScreenVideoRenderer","thumbnailOverlayTimeStatusRenderer","thumbnailOverlayNowPlayingRenderer","playerOverlayVideoDetailsRenderer","quickActionsViewModel","decoratedPlayerBarRenderer","speedmasterEduViewModel","engagementPanelSectionListRenderer","engagementPanelTitleHeaderRenderer","sortFilterSubMenuRenderer","sectionListRenderer","adsEngagementPanelContentRenderer","chipBarViewModel","chipViewModel","structuredDescriptionContentRenderer","videoDescriptionHeaderRenderer","factoidRenderer","viewCountFactoidRenderer","expandableVideoDescriptionBodyRenderer","videoDescriptionTranscriptSectionRenderer","videoDescriptionInfocardsSectionRenderer","compactInfocardRenderer","mediaLockupRenderer","desktopTopbarRenderer","topbarLogoRenderer","fusionSearchboxRenderer","topbarMenuButtonRenderer","multiPageMenuRenderer","hotkeyDialogRenderer","hotkeyDialogSectionRenderer","hotkeyDialogSectionOptionRenderer","voiceSearchDialogRenderer","cardCollectionRenderer","cardRenderer","simpleCardTeaserRenderer","cinematicContainerRenderer"]},"ytConfigData":{"visitorData":"Cgs1MTFYTlV1TTRrVSj-oJjLBjIKCgJLUhIEGgAgaGLfAgrcAjE1LllUPUpaOEp1QUdTMko0cURYNkR0TVpEU0M0REhyZ0dsTDg5THNtbVlFVHhBaVVuN2RhWW1MNGxsSEdyRTdDUFl3TTVZSnpTemRkaXZFVmlia1Z3X0l5cHR4dVlmeklpVHBCdDVYa0pJSURhOG8wb25FTHdyRmdLMGNHYUhRMmYwLTYyRjlQZEt0ZDZuM1BkVlo4RmNBalljaGZEU2kyNUtfakcyd0t4M0M1dUU3a2ZKUktPcU12dHZ1d1ZMeHlCd01qVXNBWHhNVkNfU2lDQXprQmdOYnlsNVVYNTN1clZmaXp6UmpMZGtXTTBicUY3ZTJ6UXVoejlIa05Tc3JaTGxyYXJzdWNodDZnWHZHUEtvV3V4MWlYZzJEUUNyWkFta19qQ2Vpc0Vnc1JIdHdSWWx0ODZPdmNpVHBKNG1rVFY2X3dsQ0VtVUdINkVIcG1pYUNod1Q3Mk10Zw%3D%3D","rootVisualElementType":3832},"hasDecorated":true}},"contents":{"twoColumnWatchNextResults":{"results":{"results":{"contents":[{"videoPrimaryInfoRenderer":{"title":{"runs":[{"text":"Asset management features in Jira Service Management"}]},"viewCount":{"videoViewCountRenderer":{"viewCount":{"simpleText":"조회수 19,819회"},"shortViewCount":{"simpleText":"조회수 1.9만회"},"originalViewCount":"0"}},"videoActions":{"menuRenderer":{"items":[{"menuServiceItemRenderer":{"text":{"runs":[{"text":"신고"}]},"icon":{"iconType":"FLAG"},"serviceEndpoint":{"clickTrackingParams":"CJECEMyrARgAIhMImvqwiZqIkgMV7phWAR30FQKjygEENUSptw==","showEngagementPanelEndpoint":{"identifier":{"tag":"PAabuse_report"},"globalConfiguration":{"params":"qgdxCAESC0tOLUppQWo4Yk5RGmBFZ3RMVGkxS2FVRnFPR0pPVVVBQldBQjRCWklCTWdvd0VpNW9kSFJ3Y3pvdkwya3VlWFJwYldjdVkyOXRMM1pwTDB0T0xVcHBRV280WWs1UkwyUmxabUYxYkhRdWFuQm4%3D"},"engagementPanelPresentationConfigs":{"engagementPanelPopupPresentationConfig":{"popupType":"PANEL_POPUP_TYPE_DIALOG"}}}},"trackingParams":"CJECEMyrARgAIhMImvqwiZqIkgMV7phWAR30FQKj"}}],"trackingParams":"CJECEMyrARgAIhMImvqwiZqIkgMV7phWAR30FQKj","topLevelButtons":[{"segmentedLikeDislikeButtonViewModel":{"likeButtonViewModel":{"likeButtonViewModel":{"toggleButtonViewModel":{"toggleButtonViewModel":{"defaultButtonViewModel":{"buttonViewModel":{"iconName":"LIKE","title":"78","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CJwCEKVBIhMImvqwiZqIkgMV7phWAR30FQKj"}},{"innertubeCommand":{"clickTrackingParams":"CJwCEKVBIhMImvqwiZqIkgMV7phWAR30FQKjygEENUSptw==","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"simpleText":"동영상이 마음에 드시나요?"},"content":{"simpleText":"로그인하여 의견을 알려주세요."},"button":{"buttonRenderer":{"style":"STYLE_MONO_FILLED","size":"SIZE_DEFAULT","isDisabled":false,"text":{"simpleText":"로그인"},"navigationEndpoint":{"clickTrackingParams":"CJ0CEPqGBCITCJr6sImaiJIDFe6YVgEd9BUCo8oBBDVEqbc=","commandMetadata":{"webCommandMetadata":{"url":"https://accounts.google.com/ServiceLogin?service=youtube\u0026uilel=3\u0026passive=true\u0026continue=https%3A%2F%2Fwww.youtube.com%2Fsignin%3Faction_handle_signin%3Dtrue%26app%3Ddesktop%26hl%3Dko\u0026hl=ko\u0026ec=66426","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"signInEndpoint":{"nextEndpoint":{"clickTrackingParams":"CJ0CEPqGBCITCJr6sImaiJIDFe6YVgEd9BUCo8oBBDVEqbc=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/like"}},"likeEndpoint":{"status":"LIKE","target":{"videoId":"KN-JiAj8bNQ"},"likeParams":"Cg0KC0tOLUppQWo4Yk5RIAAyCwj_oJjLBhCw1tUm"}},"idamTag":"66426"}},"trackingParams":"CJ0CEPqGBCITCJr6sImaiJIDFe6YVgEd9BUCow=="}}}}}}}]}},"accessibilityText":"다른 사용자 78명과 함께 이 동영상에 좋아요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CJwCEKVBIhMImvqwiZqIkgMV7phWAR30FQKj","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.like.button","tooltip":"이 동영상이 마음에 듭니다."}},"toggledButtonViewModel":{"buttonViewModel":{"iconName":"LIKE","title":"79","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CJsCEKVBIhMImvqwiZqIkgMV7phWAR30FQKj"}},{"innertubeCommand":{"clickTrackingParams":"CJsCEKVBIhMImvqwiZqIkgMV7phWAR30FQKjygEENUSptw==","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/removelike"}},"likeEndpoint":{"status":"INDIFFERENT","target":{"videoId":"KN-JiAj8bNQ"},"removeLikeParams":"Cg0KC0tOLUppQWo4Yk5RGAAqCwj_oJjLBhCKgdcm"}}}]}},"accessibilityText":"다른 사용자 78명과 함께 이 동영상에 좋아요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CJsCEKVBIhMImvqwiZqIkgMV7phWAR30FQKj","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.like.button","tooltip":"좋아요 취소"}},"identifier":"watch-like","trackingParams":"CJECEMyrARgAIhMImvqwiZqIkgMV7phWAR30FQKj","isTogglingDisabled":true}},"likeStatusEntityKey":"EgtLTi1KaUFqOGJOUSA-KAE%3D","likeStatusEntity":{"key":"EgtLTi1KaUFqOGJOUSA-KAE%3D","likeStatus":"INDIFFERENT"}}},"dislikeButtonViewModel":{"dislikeButtonViewModel":{"toggleButtonViewModel":{"toggleButtonViewModel":{"defaultButtonViewModel":{"buttonViewModel":{"iconName":"DISLIKE","title":"싫어요","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CJkCEKiPCSITCJr6sImaiJIDFe6YVgEd9BUCow=="}},{"innertubeCommand":{"clickTrackingParams":"CJkCEKiPCSITCJr6sImaiJIDFe6YVgEd9BUCo8oBBDVEqbc=","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"simpleText":"동영상이 마음에 안 드시나요?"},"content":{"simpleText":"로그인하여 의견을 알려주세요."},"button":{"buttonRenderer":{"style":"STYLE_MONO_FILLED","size":"SIZE_DEFAULT","isDisabled":false,"text":{"simpleText":"로그인"},"navigationEndpoint":{"clickTrackingParams":"CJoCEPmGBCITCJr6sImaiJIDFe6YVgEd9BUCo8oBBDVEqbc=","commandMetadata":{"webCommandMetadata":{"url":"https://accounts.google.com/ServiceLogin?service=youtube\u0026uilel=3\u0026passive=true\u0026continue=https%3A%2F%2Fwww.youtube.com%2Fsignin%3Faction_handle_signin%3Dtrue%26app%3Ddesktop%26hl%3Dko\u0026hl=ko\u0026ec=66425","webPageType":"WEB_PAGE_TYPE_UNKNOWN","rootVe":83769}},"signInEndpoint":{"nextEndpoint":{"clickTrackingParams":"CJoCEPmGBCITCJr6sImaiJIDFe6YVgEd9BUCo8oBBDVEqbc=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/dislike"}},"likeEndpoint":{"status":"DISLIKE","target":{"videoId":"KN-JiAj8bNQ"},"dislikeParams":"Cg0KC0tOLUppQWo4Yk5REAAiCwj_oJjLBhCaodkm"}},"idamTag":"66425"}},"trackingParams":"CJoCEPmGBCITCJr6sImaiJIDFe6YVgEd9BUCow=="}}}}}}}]}},"accessibilityText":"동영상에 싫어요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CJkCEKiPCSITCJr6sImaiJIDFe6YVgEd9BUCow==","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.dislike.button","tooltip":"이 동영상이 마음에 들지 않습니다."}},"toggledButtonViewModel":{"buttonViewModel":{"iconName":"DISLIKE","title":"싫어요","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CJgCEKiPCSITCJr6sImaiJIDFe6YVgEd9BUCow=="}},{"innertubeCommand":{"clickTrackingParams":"CJgCEKiPCSITCJr6sImaiJIDFe6YVgEd9BUCo8oBBDVEqbc=","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/like/removelike"}},"likeEndpoint":{"status":"INDIFFERENT","target":{"videoId":"KN-JiAj8bNQ"},"removeLikeParams":"Cg0KC0tOLUppQWo4Yk5RGAAqCwj_oJjLBhD009km"}}}]}},"accessibilityText":"동영상에 싫어요 표시","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CJgCEKiPCSITCJr6sImaiJIDFe6YVgEd9BUCow==","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","accessibilityId":"id.video.dislike.button","tooltip":"이 동영상이 마음에 들지 않습니다."}},"trackingParams":"CJECEMyrARgAIhMImvqwiZqIkgMV7phWAR30FQKj","isTogglingDisabled":true}},"dislikeEntityKey":"EgtLTi1KaUFqOGJOUSA-KAE%3D"}},"iconType":"LIKE_ICON_TYPE_UNKNOWN","likeCountEntity":{"key":"unset_like_count_entity_key"},"dynamicLikeCountUpdateData":{"updateStatusKey":"like_count_update_status_key","placeholderLikeCountValuesKey":"like_count_placeholder_values_key","updateDelayLoopId":"like_count_update_delay_loop_id","updateDelaySec":5},"teasersOrderEntityKey":"EgtLTi1KaUFqOGJOUSD8AygB"}},{"buttonViewModel":{"iconName":"SHARE","title":"공유","onTap":{"serialCommand":{"commands":[{"logGestureCommand":{"gestureType":"GESTURE_EVENT_TYPE_LOG_GENERIC_CLICK","trackingParams":"CJYCEOWWARgDIhMImvqwiZqIkgMV7phWAR30FQKj"}},{"innertubeCommand":{"clickTrackingParams":"CJYCEOWWARgDIhMImvqwiZqIkgMV7phWAR30FQKjygEENUSptw==","commandMetadata":{"webCommandMetadata":{"sendPost":true,"apiUrl":"/youtubei/v1/share/get_share_panel"}},"shareEntityServiceEndpoint":{"serializedShareEntity":"CgtLTi1KaUFqOGJOUaABAQ%3D%3D","commands":[{"clickTrackingParams":"CJYCEOWWARgDIhMImvqwiZqIkgMV7phWAR30FQKjygEENUSptw==","openPopupAction":{"popup":{"unifiedSharePanelRenderer":{"trackingParams":"CJcCEI5iIhMImvqwiZqIkgMV7phWAR30FQKj","showLoadingSpinner":true}},"popupType":"DIALOG","beReused":true}}]}}}]}},"accessibilityText":"공유","style":"BUTTON_VIEW_MODEL_STYLE_MONO","trackingParams":"CJYCEOWWARgDIhMImvqwiZqIkgMV7phWAR30FQKj","isFullWidth":false,"type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_DEFAULT","state":"BUTTON_VIEW_MODEL_STATE_ACTIVE","accessibilityId":"id.video.share.button","tooltip":"공유"}}],"accessibility":{"accessibilityData":{"label":"추가 작업"}},"flexibleItems":[{"menuFlexibleItemRenderer":{"menuItem":{"menuServiceItemRenderer":{"text":{"runs":[{"text":"저장"}]},"icon":{"iconType":"PLAYLIST_ADD"},"serviceEndpoint":{"clickTrackingParams":"CJQCEOuQCSITCJr6sImaiJIDFe6YVgEd9BUCo8oBBDVEqbc=","commandMetadata":{"webCommandMetadata":{"ignoreNavigation":true}},"modalEndpoint":{"modal":{"modalWithTitleAndButtonRenderer":{"title":{"runs":[{"text":"나중에 다시 보고 싶으신가요?"}]},"content":{"runs":[{"text":"로그인하여 동영상을 재생목록에 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재생목록에 추가","style":"BUTTON_VIEW_MODEL_STYLE_OVERLAY_DARK","trackingParams":"CPMBEPBbIhMImvqwiZqIkgMV7phWAR30FQKj","type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_COMPACT","state":"BUTTON_VIEW_MODEL_STATE_ACTIVE"}},"toggledButtonViewModel":{"buttonViewModel":{"iconName":"CHECK","accessibilityText":"추가됨","style":"BUTTON_VIEW_MODEL_STYLE_OVERLAY_DARK","trackingParams":"CPIBEPBbIhMImvqwiZqIkgMV7phWAR30FQKj","type":"BUTTON_VIEW_MODEL_TYPE_TONAL","buttonSize":"BUTTON_VIEW_MODEL_SIZE_COMPACT","state":"BUTTON_VIEW_MODEL_STATE_ACTIVE"}},"isToggled":false,"trackingParams":"CO0BENTEDBgBIhMImvqwiZqIkgMV7phWAR30FQKj"}}]}}]}},"metadata":{"lockupMetadataViewModel":{"title":{"content":"(🔴LIVE ) 윤석열 '내란 우두머리' 혐의 오늘 구형...\"오늘은 무조건 끝낸�
2026-01-13T09:29:39
https://www.atlassian.com/ja/university
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2026-01-13T09:29:39
https://support.atlassian.com/ja/assets/docs/eliminate-unnecessary-records-to-create-cleansed-data/
不要なレコードを排除してクレンジングされたデータを作成する | アセット | アトラシアン サポート メイン コンテンツにスキップ アセットのサポート アプリ 使用を開始する 関連ドキュメント リソース お問い合わせ サインイン サインイン Cloud 向けアセット 関連ドキュメント アセットを開始する ITAM(IT 資産管理)へのアセット ガイド IT 資産管理 (ITAM) 用のオブジェクト スキーマを構築する IT 資産管理 (ITAM) の属性を作成する IT 資産管理 (ITAM) 用のオブジェクト スキーマを設定する IT 資産管理 (ITAM) 用のインポート構造を作成する IT 資産管理 (ITAM) 用にインポートされたデータのマッピング アセット データ マネージャーでデータを接続、クレンジング、調整する アセット データ マネージャーの詳細 データ マネージャーとは何ですか? データマネージャーは何に使用されますか? カスタマーはどのようにアセット データ マネージャーを使用していますか? アセット データ マネージャーはどのような問題の解決に役立ちますか? データ マネージャーを使用する準備はどのようにすればよいですか? データのエラーをトラブルシューティングするにはどうすればよいですか? アセット データ マネージャーのコンプライアンスとレジデンシーにはどのようなものが期待されますか? データ マネージャーの要件と制限は何ですか? データ マネージャーのステージとは何ですか? データ マネージャーのアーキテクチャとは アダプターの詳細 データ マネージャー - データ ソース アグリゲート アダプター データ マネージャー - フラット ファイル アダプター データ マネージャー - スキーマ アダプター データ マネージャー - SQL &amp; ODBC アダプター データ マネージャー - Active Directory アダプター データ マネージャー - Azure 仮想マシン アダプター データ マネージャー - Defender アダプター データ マネージャー - Entra ID デバイス アダプター データ マネージャー - Entra ID ユーザー アダプタ データ マネージャー - Falcon アダプター データ マネージャー - FNMS/Flexera One アダプター データ マネージャー - InTune アダプター データ マネージャー - JamF アダプター データ マネージャー - Lansweeper データ マネージャー - OneAgent アダプター データ マネージャー - Qualys アダプター データ マネージャー - SCCM アダプター データ マネージャー - ServiceNow アダプター データ マネージャー - Snow Adapter データ マネージャー - Tenable 脆弱性管理アダプター データ マネージャー - Puppet アダプター データ マネージャー - RISC Networks アダプター アセット データ マネージャーを設定する データ マネージャーのロールを設定する データ マネージャーのインスタンスを設定する アセット用のデータ マネージャー クライアントを設定する アセット データ マネージャー用のトークンを作成する データをデータ マネージャーに移動して生データを作成する データソース集計ジョブを設定する PowerShell ベースのジョブを構成する API ベースのジョブを構成する 新しいジョブを作成する データベース ジョブを作成して設定する フラット ファイル ジョブを作成して構成する スキーマ ジョブを作成して設定する ジョブを実行する ジョブのスケジュール 完了したジョブを表示する 生データを表示する 不要な値を削除して変換されたデータを作成する 変換機能を設定する 変換機能を実行する 変換されたデータを表示する 不要なレコードを削除してクレンジングされたデータを作成する データのクレンジング クレンジングルールを設定してください 属性マッピングを設定する 属性優先度を設定する 属性の設定 データ ソース タイプを設定する データ ソースを設定する 理由を設定する データ ソースを調整してデータ マネージャーオブジェクトを作成する 詳細検索を設定する コンピュート課題を構成する カスタム コンピュート ディクショナリを構成する ダッシュボードの設定 既定のコンピュート ディクショナリを構成する データをインポート データのインポートをスケジュールする データ マネージャー オブジェクトを表示する アセット スキーマにインポートしてスキーマ オブジェクトを作成する アセットにデータをインポートする アセット データ マネージャーの用語を学ぶ データ マネージャー - アセット データ マネージャー データマネージャー - ロール データマネージャ - アダプター データ マネージャー - アダプター クライアント データ マネージャー - 高度な検索 データ マネージャー - 詳細検索グループ データ マネージャー - すべてのジョブ (画面) データ マネージャー - 分析 データ マネージャー - アセット データ マネージャー - 属性 データ マネージャー - データソース別の属性 データ マネージャー - 属性フラグ データ マネージャー - 属性フラグ - 優先度 データ マネージャー - 属性マッピング データ マネージャー - 属性円グラフ データ マネージャー - 自動生成列マッピング フィールド データ マネージャー - クレンジング データ マネージャー - クレンジングとインポート データ マネージャー - クレンジングとインポート クライアント データ マネージャー - クレンジングされたデータ データ マネージャー - クレンジング ルール データ マネージャー - クレンジング統計 データ マネージャー - 列見出し行 データ マネージャー - 列マッピング データ マネージャー - 列マッピング タイプ データ マネージャー - 列設定 データ マネージャー - Compute (オブジェクト クラス) データ マネージャー - コンピュート課題 データ マネージャー - Computed データ マネージャー - コンピュート ディクショナリ データ マネージャー - ComputeIssues (チャート) データ マネージャー - ダッシュボード グループ データ マネージャー - ダッシュボード データ マネージャー - データ マネージャー クライアント データ マネージャー - データ マネージャー オブジェクト データ マネージャー - データ ソース データ マネージャー - データ ソース x データ ソース データ マネージャー - データソース名 データ マネージャー - データ ソース タイプ データ マネージャー - データ タイプ データ マネージャー - 日付形式 データ マネージャー - 既定の属性マッピング データ マネージャー - 既定のクレンジング ルール データ マネージャー - 区切り記号 データ マネージャー - ディクショナリ グループ データ マネージャー - ディクショナリ値 データ マネージャー - DS# データ マネージャー - 区切り文字で終わる データ マネージャー - 除外 (クレンジング ルール) データ マネージャー - ファイル パス データ マネージャー - フィルター (クレンジング ルール) データ マネージャー - インポート データ マネージャー - インポート可能 データ マネージャー - 重要 データ マネージャー - ImportScore データ マネージャ - ジョブ データ マネージャー - ジョブ実行履歴 データ マネージャー - Mapped (マッピング済み) データ マネージャー - マッピング マトリックス データ マネージャー - マイ ダウンロード データ マネージャー - ネットワーク (オブジェクト クラス) データ マネージャー - 標準 データ マネージャー - NOT MAPPED 値 データ マネージャー - NULL 値 データ マネージャー - オブジェクト属性 データ マネージャー - オブジェクト クラス データ マネージャー - オブジェクトの詳細 データ マネージャー - オブジェクト リスト データ マネージャー - OS バージョン データ マネージャー - ユーザー (オブジェクト クラス) データ マネージャー - 周辺機器 (オブジェクト クラス) データマネージャー - プラットフォーム データ マネージャー - 主キー データ マネージャー - 優先度 データ マネージャー - 修飾子 データ マネージャー - 生データ データ マネージャー - 理由 データ マネージャー - 最近のジョブ (画面) データ マネージャー - レコード データ マネージャー - 更新ギャップ データ マネージャー - 削除 (クレンジング ルール) データ マネージャー - 保存済み検索 データ マネージャー - スキーマ オブジェクト データ マネージャー - セカンダリ キー データ マネージャー - スキップ行フィールド データ マネージャー - スナップショット データ マネージャー - ソフトウェア (オブジェクト クラス) データ マネージャー - タグ データ マネージャー - トークン データ マネージャー - 変換関数 データ マネージャー - 変換リクエスト データ マネージャー - 変換されたデータ データ マネージャー - アップロード済み データ マネージャー - ベン図 データマネージャー-検証済み データ マネージャー - ワイルドカード データ マネージャー - WorkspaceId アセットで資産と構成アイテムを管理する アセットにおける資産とサービスの管理について確認する アセットとは Glossary of Assets アセットにおけるサービスのしくみ アセット スキーマの推奨データ構造 アセットで使用状況を追跡する Cloud 向けアセットに含まれる機能 アセットの利用状況とその仕組み アセットに保存できるデータ量 利用状況に応じてスキーマを最適化する ロールをアセットで管理する ロールとは オブジェクト スキーマ ロールにユーザーやグループを追加する ユーザーやグループをオブジェクト タイプ ロールに追加する オブジェクト タイプ ロールからユーザーやグループを削除する ユーザーやグループをオブジェクト スキーマ ロールから削除する オブジェクト スキーマを管理する オブジェクト スキーマとは オブジェクト スキーマを作成する オブジェクト スキーマの名前や説明を変更する オブジェクト スキーマを削除する スキーマのオブジェクトを別のスキーマが参照できるようにする アセットのオブジェクト タイプを管理する オブジェクト タイプとは オブジェクト タイプを作成する オブジェクト タイプの名前や説明を変更する オブジェクト タイプを複製する オブジェクト タイプを削除する 子オブジェクト タイプの属性継承を有効にする オブジェクト タイプ内でオブジェクトの作成を無効にする オブジェクト タイプのラベルを設定する アセットでオブジェクトを管理する オブジェクトとは オブジェクトを作成する オブジェクトを編集する 複数のオブジェクトを編集する オブジェクトのクローンを作成する オブジェクトを削除する 複数のオブジェクトを削除する オブジェクトとオブジェクト タイプを検索する オブジェクトをエクスポートする 参照オブジェクトのクイック作成を有効にする QR コードを印刷する アセット オブジェクトを Jira 作業項目に添付する クイックオブジェクト作成でオブジェクトの属性を検証します オブジェクトでコメントを追加、編集、削除する オブジェクトに加えられた変更を表示する アセットの属性を管理する 属性とは 属性タイプ 属性を作成する 属性にサフィックスを追加する 属性を削除する AQL (アセット クエリ言語) によって属性値を絞り込む すべての親の属性を継承する 属性の濃度を設定する 複数の属性の合計を表示する 正規表現で属性を検証する 属性値が一意であることを検証する 属性参照を作成する 子オブジェクトを含む参照を作成する Bitbucket リポジトリ属性の追加 アセットで参照を管理する 参照とは スキーマ参照を追加する 参照を編集する 参照を削除する アセットのステータスを管理する ステータスとは ステータスを作成する ステータスを編集する ステータスを削除する アセットのアイコンを管理する アイコンとは アイコンの名前を編集する アイコンを削除する カスタム アイコンを作成する オブジェクト タイプのアイコンを変更する View Assets objects directly on work items and in Confluence アセット オブジェクト カスタム フィールドについて アセット オブジェクト カスタム フィールドを作成する アセット オブジェクト カスタム フィールドを設定する アセット データを Confluence ページまたはリアルタイム文書に表示する Jira クエリ言語 (JQL) をアセットの AQL で使用する アセット クエリ言語 (AQL) の使用方法 アセットで JQL 関数を使用する アセット クエリ言語 (AQL) 構文を使用する AQL のプレースホルダーを使用して、情報を動的に置き換える アセットのオブジェクトを自動化する レコードの表示 Asset Discovery で環境内のオブジェクトを検出する Asset Discovery をダウンロードして解凍する オブジェクトをアセットにインポートする インポートとは インポート構造を作成する オブジェクト タイプと属性を自動で作成する オブジェクト タイプ マッピングを使用してデータからアセット オブジェクトを作成する データから属性と参照を作成する アセットでインポートを実行する アセットでインポートの構造ステータスを表示する JSON ファイルをアセットにインポートする データ マネージャー オブジェクトをアセットのスキーマに取り込む Assets Discovery でインポート用トークンを生成する Web アドレスからアセットにデータをインポートする アセットにインポートするデータを準備する アセットでインポート履歴を表示する アセットの &quot;データ ソース&quot; フィールドとは Microsoft Entra ID とアセットの統合 アセット - Microsoft Entra ID 統合アプリとは Microsoft Entra ID からアセットに情報をインポートする アセット - Microsoft Entra ID 統合アプリでのインポート対象データ アセットの使用状況を追跡する アセットの使用制限を管理する アセットの追加オブジェクトに対する請求の管理 レポートでアセット データを把握する アセットに関するレポートの使用方法 アセット ダッシュボードについて アセット ダッシュボードを作成する アセット ダッシュボードのチャートについて アセット ダッシュボードのメトリック アセット ダッシュボードでチャートを追加する アセット ダッシュボードとチャートの例 アトラシアン サポート Assets リソース アセット データ マネージャーでデータを接続、クレンジング、調整する 不要なレコードを削除してクレンジングされたデータを作成する アセット データ マネージャー は、アセットのすべてのユーザーが標準機能として利用できます。 バグを発見した場合、またはご質問がある場合は、 アトラシアン サポート または アトラシアン コミュニティ にご連絡ください。 クレンジング機能を使用して重複レコードや誤ったレコードを排除し、クレンジングされたデータを作成する方法を学びます。 データのクレンジング データ マネージャーで、Mac、Linux、Windows のクライアントを使用して手動でデータをクレンジングする方法をご確認ください トピックの表示 クレンジングルールを設定してください アセットのデータ マネージャーで、クレンジング ルールを追加、編集、削除する方法をご確認ください トピックの表示 属性マッピングを設定する データ マネージャーのコンテキストで属性マッピングを作成して使用する方法をご確認ください トピックの表示 属性優先度を設定する データ マネージャーのコンテキストで属性優先度を設定して使用する方法をご確認ください トピックの表示 属性の設定 データ マネージャーで属性を作成、編集、削除する方法を説明します。 トピックの表示 データ ソース タイプを設定する データ ソース タイプを作成、編集、削除する方法を説明します。 トピックの表示 データ ソースを設定する データ マネージャーのデータ ソースを作成、編集、削除する方法を説明します トピックの表示 理由を設定する データ マネージャーで理由を作成して設定する方法をご確認ください トピックの表示 この内容はお役に立ちましたか? はい いいえ 正確ではなかった 明確ではなかった 関係なかった この記事についてのフィードバックを送信する さらにヘルプが必要ですか? アトラシアン コミュニティをご利用ください。 コミュニティに質問 さらに調べる データのクレンジング クレンジングルールを設定してください 属性マッピングを設定する 属性優先度を設定する 属性の設定 詳細を表示する アセット データ マネージャーでデータを接続、クレンジング、調整する 詳細を表示する データをデータ マネージャーに移動して生データを作成する 不要な値を削除して変換されたデータを作成する 不要なレコードを削除してクレンジングされたデータを作成する データ ソースを調整してデータ マネージャーオブジェクトを作成する アセット スキーマにインポートしてスキーマ オブジェクトを作成する 詳細を表示する コミュニティ 質問、ディスカッション、記事 アクセシビリティ データ収集時の通知 プライバシー ポリシー 利用規約 セキュリティ 2026 年 Atlassian
2026-01-13T09:29:39
https://google.github.io/adk-docs/agents/models/#google-gemini-models
Models & Authentication - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Models & Authentication Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Models & Authentication Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Build Agents Agents Using Different Models with ADK &para; Supported in ADK Python v0.1.0 Typescript v0.2.0 Go v0.1.0 Java v0.1.0 The Agent Development Kit (ADK) is designed for flexibility, allowing you to integrate various Large Language Models (LLMs) into your agents. While the setup for Google Gemini models is covered in the Setup Foundation Models guide, this page details how to leverage Gemini effectively and integrate other popular models, including those hosted externally or running locally. ADK primarily uses two mechanisms for model integration: Direct String / Registry: For models tightly integrated with Google Cloud (like Gemini models accessed via Google AI Studio or Vertex AI) or models hosted on Vertex AI endpoints. You typically provide the model name or endpoint resource string directly to the LlmAgent . ADK's internal registry resolves this string to the appropriate backend client, often utilizing the google-genai library. Wrapper Classes: For broader compatibility, especially with models outside the Google ecosystem or those requiring specific client configurations (like models accessed via Apigee or LiteLLM). You instantiate a specific wrapper class (e.g., ApigeeLlm or LiteLlm ) and pass this object as the model parameter to your LlmAgent . The following sections guide you through using these methods based on your needs. Google Gemini models &para; ADK supports the Google Gemini family of generative AI models that provide a powerful set of models with a wide range of features. ADK provides support for many Gemini features, including Code Execution , Google Search , Context caching , Computer use and the Interactions API . Gemini Interactions API &para; Supported in ADK Python v1.21.0 The Gemini Interactions API is an alternative to the generateContent inference API, which provides stateful conversation capabilities, allowing you to chain interactions using a previous_interaction_id instead of sending the full conversation history with each request. Using this feature can be more efficient for long conversations. You can enable the Interactions API by settting the use_interactions_api=True parameter in the Gemini model configuration, as shown in the following code snippet: from google.adk.agents.llm_agent import Agent from google.adk.models.google_llm import Gemini from google.adk.tools.google_search_tool import GoogleSearchTool root_agent = Agent ( model = Gemini ( model = &quot;gemini-2.5-flash&quot; , use_interactions_api = True , # Enable Interactions API ), name = &quot;interactions_test_agent&quot; , tools = [ GoogleSearchTool ( bypass_multi_tools_limit = True ), # Converted to function tool get_current_weather , # Custom function tool ], ) For a complete code sample, see the Interactions API sample . Known limitations &para; The Interactions API does not support mixing custom function calling tools with built-in tools, such as the Google Search , tool, within the same agent. You can work around this limitation by configuring the the built-in tool to operate as a custom tool using the bypass_multi_tools_limit parameter: # Use bypass_multi_tools_limit=True to convert google_search to a function tool GoogleSearchTool ( bypass_multi_tools_limit = True ) In this example, this option converts the built-in google_search to a function calling tool (via GoogleSearchAgentTool), which allows it to work alongside custom function tools. Gemini model authentication &para; This section covers authenticating with Google's Gemini models, either through Google AI Studio for rapid development or Google Cloud Vertex AI for enterprise applications. This is the most direct way to use Google's flagship models within ADK. Integration Method: Once you are authenticated using one of the below methods, you can pass the model's identifier string directly to the model parameter of LlmAgent . Tip The google-genai library, used internally by ADK for Gemini models, can connect through either Google AI Studio or Vertex AI. Model support for voice/video streaming In order to use voice/video streaming in ADK, you will need to use Gemini models that support the Live API. You can find the model ID(s) that support the Gemini Live API in the documentation: Google AI Studio: Gemini Live API Vertex AI: Gemini Live API Google AI Studio &para; This is the simplest method and is recommended for getting started quickly. Authentication Method: API Key Setup: Get an API key: Obtain your key from Google AI Studio . Set environment variables: Create a .env file (Python) or .properties (Java) in your project's root directory and add the following lines. ADK will automatically load this file. export GOOGLE_API_KEY = &quot;YOUR_GOOGLE_API_KEY&quot; export GOOGLE_GENAI_USE_VERTEXAI = FALSE (or) Pass these variables during the model initialization via the Client (see example below). Models: Find all available models on the Google AI for Developers site . Google Cloud Vertex AI &para; For scalable and production-oriented use cases, Vertex AI is the recommended platform. Gemini on Vertex AI supports enterprise-grade features, security, and compliance controls. Based on your development environment and usecase, choose one of the below methods to authenticate . Pre-requisites: A Google Cloud Project with Vertex AI enabled . Method A: User Credentials (for Local Development) &para; Install the gcloud CLI: Follow the official installation instructions . Log in using ADC: This command opens a browser to authenticate your user account for local development. gcloud auth application-default login Set environment variables: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Explicitly tell the library to use Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Models: Find available model IDs in the Vertex AI documentation . Method B: Vertex AI Express Mode &para; Vertex AI Express Mode offers a simplified, API-key-based setup for rapid prototyping. Sign up for Express Mode to get your API key. Set environment variables: export GOOGLE_API_KEY = &quot;PASTE_YOUR_EXPRESS_MODE_API_KEY_HERE&quot; export GOOGLE_GENAI_USE_VERTEXAI = TRUE Method C: Service Account (for Production &amp; Automation) &para; For deployed applications, a service account is the standard method. Create a Service Account and grant it the Vertex AI User role. Provide credentials to your application: On Google Cloud: If you are running the agent in Cloud Run, GKE, VM or other Google Cloud services, the environment can automatically provide the service account credentials. You don't have to create a key file. Elsewhere: Create a service account key file and point to it with an environment variable: export GOOGLE_APPLICATION_CREDENTIALS = &quot;/path/to/your/keyfile.json&quot; Instead of the key file, you can also authenticate the service account using Workload Identity. But this is outside the scope of this guide. Example: Python Go Java from google.adk.agents import LlmAgent # --- Example using a stable Gemini Flash model --- agent_gemini_flash = LlmAgent ( # Use the latest stable Flash model identifier model = &quot;gemini-2.5-flash&quot; , name = &quot;gemini_flash_agent&quot; , instruction = &quot;You are a fast and helpful Gemini assistant.&quot; , # ... other agent parameters ) # --- Example using a powerful Gemini Pro model --- # Note: Always check the official Gemini documentation for the latest model names, # including specific preview versions if needed. Preview models might have # different availability or quota limitations. agent_gemini_pro = LlmAgent ( # Use the latest generally available Pro model identifier model = &quot;gemini-2.5-pro-preview-03-25&quot; , name = &quot;gemini_pro_agent&quot; , instruction = &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , # ... other agent parameters ) import ( &quot;google.golang.org/adk/agent/llmagent&quot; &quot;google.golang.org/adk/model/gemini&quot; &quot;google.golang.org/genai&quot; ) // --- Example using a stable Gemini Flash model --- modelFlash , err := gemini . NewModel ( ctx , &quot;gemini-2.0-flash&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiFlash , err := llmagent . New ( llmagent . Config { // Use the latest stable Flash model identifier Model : modelFlash , Name : &quot;gemini_flash_agent&quot; , Instruction : &quot;You are a fast and helpful Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example using a powerful Gemini Pro model --- // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. modelPro , err := gemini . NewModel ( ctx , &quot;gemini-2.5-pro-preview-03-25&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiPro , err := llmagent . New ( llmagent . Config { // Use the latest generally available Pro model identifier Model : modelPro , Name : &quot;gemini_pro_agent&quot; , Instruction : &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example #1: using a stable Gemini Flash model with ENV variables--- LlmAgent agentGeminiFlash = LlmAgent . builder () // Use the latest stable Flash model identifier . model ( &quot;gemini-2.5-flash&quot; ) // Set ENV variables to use this model . name ( &quot;gemini_flash_agent&quot; ) . instruction ( &quot;You are a fast and helpful Gemini assistant.&quot; ) // ... other agent parameters . build (); // --- Example #2: using a powerful Gemini Pro model with API Key in model --- LlmAgent agentGeminiPro = LlmAgent . builder () // Use the latest generally available Pro model identifier . model ( new Gemini ( &quot;gemini-2.5-pro-preview-03-25&quot; , Client . builder () . vertexAI ( false ) . apiKey ( &quot;API_KEY&quot; ) // Set the API Key (or) project/ location . build ())) // Or, you can also directly pass the API_KEY // .model(new Gemini(&quot;gemini-2.5-pro-preview-03-25&quot;, &quot;API_KEY&quot;)) . name ( &quot;gemini_pro_agent&quot; ) . instruction ( &quot;You are a powerful and knowledgeable Gemini assistant.&quot; ) // ... other agent parameters . build (); // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. Secure Your Credentials Service account credentials or API keys are powerful credentials. Never expose them publicly. Use a secret manager such as Google Cloud Secret Manager to store and access them securely in production. Troubleshooting &para; Error Code 429 - RESOURCE_EXHAUSTED &para; This error usually happens if the number of your requests exceeds the capacity allocated to process requests. To mitigate this, you can do one of the following: Request higher quota limits for the model you are trying to use. Enable client-side retries. Retries allow the client to automatically retry the request after a delay, which can help if the quota issue is temporary. There are two ways you can set retry options: Option 1: Set retry options on the Agent as a part of generate_content_config. You would use this option if you are instantiating this model adapter by yourself. root_agent = Agent ( model = &#39;gemini-2.5-flash&#39; , ... generate_content_config = types . GenerateContentConfig ( ... http_options = types . HttpOptions ( ... retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ... ), ... ) Option 2: Retry options on this model adapter. You would use this option if you were instantiating the instance of adapter by yourself. from google.genai import types # ... agent = Agent ( model = Gemini ( retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ) ) Using Anthropic models &para; Supported in ADK Java v0.2.0 You can integrate Anthropic's Claude models directly using their API key or from a Vertex AI backend into your Java ADK applications by using the ADK's Claude wrapper class. For Vertex AI backend, see the Third-Party Models on Vertex AI section. Prerequisites: Dependencies: Anthropic SDK Classes (Transitive): The Java ADK's com.google.adk.models.Claude wrapper relies on classes from Anthropic's official Java SDK. These are typically included as transitive dependencies . Anthropic API Key: Obtain an API key from Anthropic. Securely manage this key using a secret manager. Integration: Instantiate com.google.adk.models.Claude , providing the desired Claude model name and an AnthropicOkHttpClient configured with your API key. Then, pass this Claude instance to your LlmAgent . Example: import com.anthropic.client.AnthropicClient ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; // From Anthropic&#39;s SDK public class DirectAnthropicAgent { private static final String CLAUDE_MODEL_ID = &quot;claude-3-7-sonnet-latest&quot; ; // Or your preferred Claude model public static LlmAgent createAgent () { // It&#39;s recommended to load sensitive keys from a secure config AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . apiKey ( &quot;ANTHROPIC_API_KEY&quot; ) . build (); Claude claudeModel = new Claude ( CLAUDE_MODEL_ID , anthropicClient ); return LlmAgent . builder () . name ( &quot;claude_direct_agent&quot; ) . model ( claudeModel ) . instruction ( &quot;You are a helpful AI assistant powered by Anthropic Claude.&quot; ) // ... other LlmAgent configurations . build (); } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created direct Anthropic agent: &quot; + agent . name ()); } catch ( IllegalStateException e ) { System . err . println ( &quot;Error creating agent: &quot; + e . getMessage ()); } } } Using Apigee gateway for AI models &para; Supported in ADK Python v1.18.0 Java v0.4.0 Apigee acts as a powerful AI Gateway , transforming how you manage and govern your generative AI model traffic. By exposing your AI model endpoint (like Vertex AI or the Gemini API) through an Apigee proxy, you immediately gain enterprise-grade capabilities: Model Safety: Implement security policies like Model Armor for threat protection. Traffic Governance: Enforce Rate Limiting and Token Limiting to manage costs and prevent abuse. Performance: Improve response times and efficiency using Semantic Caching and advanced model routing. Monitoring &amp; Visibility: Get granular monitoring, analysis, and auditing of all your AI requests. NOTE: The ApigeeLLM wrapper is currently designed for use with Vertex AI and the Gemini API (generateContent). We are continually expanding support for other models and interfaces. Integration Method: To integrate Apigee's governance into your agent's workflow, simply instantiate the ApigeeLlm wrapper and pass it to an LlmAgent or other agent type. Example: Python Java from google.adk.agents import LlmAgent from google.adk.models.apigee_llm import ApigeeLlm # Instantiate the ApigeeLlm wrapper model = ApigeeLlm ( # Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation (https://github.com/google/adk-python/tree/main/contributing/samples/hello_world_apigeellm). model = &quot;apigee/gemini-2.5-flash&quot; , # The proxy URL of your deployed Apigee proxy including the base path proxy_url = f &quot;https:// { APIGEE_PROXY_URL } &quot; , # Pass necessary authentication/authorization headers (like an API key) custom_headers = { &quot;foo&quot; : &quot;bar&quot; } ) # Pass the configured model wrapper to your LlmAgent agent = LlmAgent ( model = model , name = &quot;my_governed_agent&quot; , instruction = &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; , # ... other agent parameters ) import com.google.adk.agents.LlmAgent ; import com.google.adk.models.ApigeeLlm ; import com.google.common.collect.ImmutableMap ; ApigeeLlm apigeeLlm = ApigeeLlm . builder () . modelName ( &quot;apigee/gemini-2.5-flash&quot; ) // Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation . proxyUrl ( APIGEE_PROXY_URL ) //The proxy URL of your deployed Apigee proxy including the base path . customHeaders ( ImmutableMap . of ( &quot;foo&quot; , &quot;bar&quot; )) //Pass necessary authentication/authorization headers (like an API key) . build (); LlmAgent agent = LlmAgent . builder () . model ( apigeeLlm ) . name ( &quot;my_governed_agent&quot; ) . description ( &quot;my_governed_agent&quot; ) . instruction ( &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; ) // tools will be added next . build (); With this configuration, every API call from your agent will be routed through Apigee first, where all necessary policies (security, rate limiting, logging) are executed before the request is securely forwarded to the underlying AI model endpoint. For a full code example using the Apigee proxy, see Hello World Apigee LLM Using Cloud &amp; Proprietary Models via LiteLLM &para; Supported in ADK Python v0.1.0 To access a vast range of LLMs from providers like OpenAI, Anthropic (non-Vertex AI), Cohere, and many others, ADK offers integration through the LiteLLM library. Integration Method: Instantiate the LiteLlm wrapper class and pass it to the model parameter of LlmAgent . LiteLLM Overview: LiteLLM acts as a translation layer, providing a standardized, OpenAI-compatible interface to over 100+ LLMs. Setup: Install LiteLLM: pip install litellm Set Provider API Keys: Configure API keys as environment variables for the specific providers you intend to use. Example for OpenAI: export OPENAI_API_KEY = &quot;YOUR_OPENAI_API_KEY&quot; Example for Anthropic (non-Vertex AI): export ANTHROPIC_API_KEY = &quot;YOUR_ANTHROPIC_API_KEY&quot; Consult the LiteLLM Providers Documentation for the correct environment variable names for other providers. Example: from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using OpenAI&#39;s GPT-4o --- # (Requires OPENAI_API_KEY) agent_openai = LlmAgent ( model = LiteLlm ( model = &quot;openai/gpt-4o&quot; ), # LiteLLM model string format name = &quot;openai_agent&quot; , instruction = &quot;You are a helpful assistant powered by GPT-4o.&quot; , # ... other agent parameters ) # --- Example Agent using Anthropic&#39;s Claude Haiku (non-Vertex) --- # (Requires ANTHROPIC_API_KEY) agent_claude_direct = LlmAgent ( model = LiteLlm ( model = &quot;anthropic/claude-3-haiku-20240307&quot; ), name = &quot;claude_direct_agent&quot; , instruction = &quot;You are an assistant powered by Claude Haiku.&quot; , # ... other agent parameters ) Windows Encoding Note for LiteLLM When using ADK agents with LiteLLM on Windows, you might encounter a UnicodeDecodeError . This error occurs because LiteLLM may attempt to read cached files using the default Windows encoding ( cp1252 ) instead of UTF-8. To prevent this, we recommend setting the PYTHONUTF8 environment variable to 1 . This forces Python to use UTF-8 for all file I/O. Example (PowerShell): # Set for the current session $env:PYTHONUTF8 = &quot;1&quot; # Set persistently for the user [System.Environment] :: SetEnvironmentVariable ( &#39;PYTHONUTF8&#39; , &#39;1&#39; , [System.EnvironmentVariableTarget] :: User ) Using Open &amp; Local Models via LiteLLM &para; Supported in ADK Python v0.1.0 For maximum control, cost savings, privacy, or offline use cases, you can run open-source models locally or self-host them and integrate them using LiteLLM. Integration Method: Instantiate the LiteLlm wrapper class, configured to point to your local model server. Ollama Integration &para; Ollama allows you to easily run open-source models locally. Model choice &para; If your agent is relying on tools, please make sure that you select a model with tool support from Ollama website . For reliable results, we recommend using a decent-sized model with tool support. The tool support for the model can be checked with the following command: ollama show mistral-small3.1 Model architecture mistral3 parameters 24 .0B context length 131072 embedding length 5120 quantization Q4_K_M Capabilities completion vision tools You are supposed to see tools listed under capabilities. You can also look at the template the model is using and tweak it based on your needs. ollama show --modelfile llama3.2 &gt; model_file_to_modify For instance, the default template for the above model inherently suggests that the model shall call a function all the time. This may result in an infinite loop of function calls. Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. Respond in the format {&quot;name&quot;: function name, &quot;parameters&quot;: dictionary of argument name and its value}. Do not use variables. You can swap such prompts with a more descriptive one to prevent infinite tool call loops. For instance: Review the user&#39;s prompt and the available functions listed below. First, determine if calling one of these functions is the most appropriate way to respond. A function call is likely needed if the prompt asks for a specific action, requires external data lookup, or involves calculations handled by the functions. If the prompt is a general question or can be answered directly, a function call is likely NOT needed. If you determine a function call IS required: Respond ONLY with a JSON object in the format {&quot;name&quot;: &quot;function_name&quot;, &quot;parameters&quot;: {&quot;argument_name&quot;: &quot;value&quot;}}. Ensure parameter values are concrete, not variables. If you determine a function call IS NOT required: Respond directly to the user&#39;s prompt in plain text, providing the answer or information requested. Do not output any JSON. Then you can create a new model with the following command: ollama create llama3.2-modified -f model_file_to_modify Using ollama_chat provider &para; Our LiteLLM wrapper can be used to create agents with Ollama models. root_agent = Agent ( model = LiteLlm ( model = &quot;ollama_chat/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) It is important to set the provider ollama_chat instead of ollama . Using ollama will result in unexpected behaviors such as infinite tool call loops and ignoring previous context. While api_base can be provided inside LiteLLM for generation, LiteLLM library is calling other APIs relying on the env variable instead as of v1.65.5 after completion. So at this time, we recommend setting the env variable OLLAMA_API_BASE to point to the ollama server. export OLLAMA_API_BASE = &quot;http://localhost:11434&quot; adk web Using openai provider &para; Alternatively, openai can be used as the provider name. But this will also require setting the OPENAI_API_BASE=http://localhost:11434/v1 and OPENAI_API_KEY=anything env variables instead of OLLAMA_API_BASE . Please note that api base now has /v1 at the end. root_agent = Agent ( model = LiteLlm ( model = &quot;openai/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) export OPENAI_API_BASE = http://localhost:11434/v1 export OPENAI_API_KEY = anything adk web Debugging &para; You can see the request sent to the Ollama server by adding the following in your agent code just after imports. import litellm litellm . _turn_on_debug () Look for a line like the following: Request Sent from LiteLLM: curl -X POST \ http://localhost:11434/api/chat \ -d &#39;{&#39; model &#39;: &#39; mistral-small3.1 &#39;, &#39; messages &#39;: [{&#39; role &#39;: &#39; system &#39;, &#39; content &#39; : ... Self-Hosted Endpoint (e.g., vLLM) &para; Supported in ADK Python Tools such as vLLM allow you to host models efficiently and often expose an OpenAI-compatible API endpoint. Setup: Deploy Model: Deploy your chosen model using vLLM (or a similar tool). Note the API base URL (e.g., https://your-vllm-endpoint.run.app/v1 ). Important for ADK Tools: When deploying, ensure the serving tool supports and enables OpenAI-compatible tool/function calling. For vLLM, this might involve flags like --enable-auto-tool-choice and potentially a specific --tool-call-parser , depending on the model. Refer to the vLLM documentation on Tool Use. Authentication: Determine how your endpoint handles authentication (e.g., API key, bearer token). Integration Example: import subprocess from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using a model hosted on a vLLM endpoint --- # Endpoint URL provided by your vLLM deployment api_base_url = &quot;https://your-vllm-endpoint.run.app/v1&quot; # Model name as recognized by *your* vLLM endpoint configuration model_name_at_endpoint = &quot;hosted_vllm/google/gemma-3-4b-it&quot; # Example from vllm_test.py # Authentication (Example: using gcloud identity token for a Cloud Run deployment) # Adapt this based on your endpoint&#39;s security try : gcloud_token = subprocess . check_output ( [ &quot;gcloud&quot; , &quot;auth&quot; , &quot;print-identity-token&quot; , &quot;-q&quot; ] ) . decode () . strip () auth_headers = { &quot;Authorization&quot; : f &quot;Bearer { gcloud_token } &quot; } except Exception as e : print ( f &quot;Warning: Could not get gcloud token - { e } . Endpoint might be unsecured or require different auth.&quot; ) auth_headers = None # Or handle error appropriately agent_vllm = LlmAgent ( model = LiteLlm ( model = model_name_at_endpoint , api_base = api_base_url , # Pass authentication headers if needed extra_headers = auth_headers # Alternatively, if endpoint uses an API key: # api_key=&quot;YOUR_ENDPOINT_API_KEY&quot; ), name = &quot;vllm_agent&quot; , instruction = &quot;You are a helpful assistant running on a self-hosted vLLM endpoint.&quot; , # ... other agent parameters ) Using Hosted &amp; Tuned Models on Vertex AI &para; For enterprise-grade scalability, reliability, and integration with Google Cloud's MLOps ecosystem, you can use models deployed to Vertex AI Endpoints. This includes models from Model Garden or your own fine-tuned models. Integration Method: Pass the full Vertex AI Endpoint resource string ( projects/PROJECT_ID/locations/LOCATION/endpoints/ENDPOINT_ID ) directly to the model parameter of LlmAgent . Vertex AI Setup (Consolidated): Ensure your environment is configured for Vertex AI: Authentication: Use Application Default Credentials (ADC): gcloud auth application-default login Environment Variables: Set your project and location: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Enable Vertex Backend: Crucially, ensure the google-genai library targets Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Model Garden Deployments &para; Supported in ADK Python v0.2.0 You can deploy various open and proprietary models from the Vertex AI Model Garden to an endpoint. Example: from google.adk.agents import LlmAgent from google.genai import types # For config objects # --- Example Agent using a Llama 3 model deployed from Model Garden --- # Replace with your actual Vertex AI Endpoint resource name llama3_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_LLAMA3_ENDPOINT_ID&quot; agent_llama3_vertex = LlmAgent ( model = llama3_endpoint , name = &quot;llama3_vertex_agent&quot; , instruction = &quot;You are a helpful assistant based on Llama 3, hosted on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 2048 ), # ... other agent parameters ) Fine-tuned Model Endpoints &para; Supported in ADK Python v0.2.0 Deploying your fine-tuned models (whether based on Gemini or other architectures supported by Vertex AI) results in an endpoint that can be used directly. Example: from google.adk.agents import LlmAgent # --- Example Agent using a fine-tuned Gemini model endpoint --- # Replace with your fine-tuned model&#39;s endpoint resource name finetuned_gemini_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_FINETUNED_ENDPOINT_ID&quot; agent_finetuned_gemini = LlmAgent ( model = finetuned_gemini_endpoint , name = &quot;finetuned_gemini_agent&quot; , instruction = &quot;You are a specialized assistant trained on specific data.&quot; , # ... other agent parameters ) Third-Party Models on Vertex AI (e.g., Anthropic Claude) &para; Some providers, like Anthropic, make their models available directly through Vertex AI. Python Java Integration Method: Uses the direct model string (e.g., "claude-3-sonnet@20240229" ), but requires manual registration within ADK. Why Registration? ADK's registry automatically recognizes gemini-* strings and standard Vertex AI endpoint strings ( projects/.../endpoints/... ) and routes them via the google-genai library. For other model types used directly via Vertex AI (like Claude), you must explicitly tell the ADK registry which specific wrapper class ( Claude in this case) knows how to handle that model identifier string with the Vertex AI backend. Setup: Vertex AI Environment: Ensure the consolidated Vertex AI setup (ADC, Env Vars, GOOGLE_GENAI_USE_VERTEXAI=TRUE ) is complete. Install Provider Library: Install the necessary client library configured for Vertex AI. pip install &quot;anthropic[vertex]&quot; Register Model Class: Add this code near the start of your application, before creating an agent using the Claude model string: # Required for using Claude model strings directly via Vertex AI with LlmAgent from google.adk.models.anthropic_llm import Claude from google.adk.models.registry import LLMRegistry LLMRegistry . register ( Claude ) Example: from google.adk.agents import LlmAgent from google.adk.models.anthropic_llm import Claude # Import needed for registration from google.adk.models.registry import LLMRegistry # Import needed for registration from google.genai import types # --- Register Claude class (do this once at startup) --- LLMRegistry . register ( Claude ) # --- Example Agent using Claude 3 Sonnet on Vertex AI --- # Standard model name for Claude 3 Sonnet on Vertex AI claude_model_vertexai = &quot;claude-3-sonnet@20240229&quot; agent_claude_vertexai = LlmAgent ( model = claude_model_vertexai , # Pass the direct string after registration name = &quot;claude_vertexai_agent&quot; , instruction = &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 4096 ), # ... other agent parameters ) Integration Method: Directly instantiate the provider-specific model class (e.g., com.google.adk.models.Claude ) and configure it with a Vertex AI backend. Why Direct Instantiation? The Java ADK's LlmRegistry primarily handles Gemini models by default. For third-party models like Claude on Vertex AI, you directly provide an instance of the ADK's wrapper class (e.g., Claude ) to the LlmAgent . This wrapper class is responsible for interacting with the model via its specific client library, configured for Vertex AI. Setup: Vertex AI Environment: Ensure your Google Cloud project and region are correctly set up. Application Default Credentials (ADC): Make sure ADC is configured correctly in your environment. This is typically done by running gcloud auth application-default login . The Java client libraries will use these credentials to authenticate with Vertex AI. Follow the Google Cloud Java documentation on ADC for detailed setup. Provider Library Dependencies: Third-Party Client Libraries (Often Transitive): The ADK core library often includes the necessary client libraries for common third-party models on Vertex AI (like Anthropic's required classes) as transitive dependencies . This means you might not need to explicitly add a separate dependency for the Anthropic Vertex SDK in your pom.xml or build.gradle . Instantiate and Configure the Model: When creating your LlmAgent , instantiate the Claude class (or the equivalent for another provider) and configure its VertexBackend . Example: import com.anthropic.client.AnthropicClient ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; import com.anthropic.vertex.backends.VertexBackend ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; // ADK&#39;s wrapper for Claude import com.google.auth.oauth2.GoogleCredentials ; import java.io.IOException ; // ... other imports public class ClaudeVertexAiAgent { public static LlmAgent createAgent () throws IOException { // Model name for Claude 3 Sonnet on Vertex AI (or other versions) String claudeModelVertexAi = &quot;claude-3-7-sonnet&quot; ; // Or any other Claude model // Configure the AnthropicOkHttpClient with the VertexBackend AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . backend ( VertexBackend . builder () . region ( &quot;us-east5&quot; ) // Specify your Vertex AI region . project ( &quot;your-gcp-project-id&quot; ) // Specify your GCP Project ID . googleCredentials ( GoogleCredentials . getApplicationDefault ()) . build ()) . build (); // Instantiate LlmAgent with the ADK Claude wrapper LlmAgent agentClaudeVertexAi = LlmAgent . builder () . model ( new Claude ( claudeModelVertexAi , anthropicClient )) // Pass the Claude instance . name ( &quot;claude_vertexai_agent&quot; ) . instruction ( &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; ) // .generateContentConfig(...) // Optional: Add generation config if needed // ... other agent parameters . build (); return agentClaudeVertexAi ; } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created agent: &quot; + agent . name ()); // Here you would typically set up a Runner and Session to interact with the agent } catch ( IOException e ) { System . err . println ( &quot;Failed to create agent: &quot; + e . getMessage ()); e . printStackTrace (); } } } Back to top Previous Agent Config Next Tools for Agents Copyright Google 2025&nbsp;&nbsp;|&nbsp;&nbsp; Terms &nbsp;&nbsp;|&nbsp;&nbsp; Privacy &nbsp;&nbsp;|&nbsp;&nbsp; Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. 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2026-01-13T09:29:39
https://support.microsoft.com/en-us/surface
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2026-01-13T09:29:39
https://www.microsoft.com/ko-kr/power-platform/templates
템플릿 | Microsoft Power Platform This is the Trace Id: 33b81ae41867165b79e85db2c568c683 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 리소스 제품별 리소스 Power Platform 알아보기 설명서 Power Platform 항목 무료로 시작 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 Power Platform templates&lt;/h1> "> Power Platform 템플릿 광범위한 자동화 가능성을 제공하는 즉시 사용할 수 있는 사용자 지정 가능한 워크플로입니다. 프로세스를 간소화하고, 반복적인 작업을 자동화하고, 미리 빌드된 사용자 지정 가능한 템플릿을 사용하여 앱을 연결합니다. 자세한 정보 Power Automate 템플릿 살펴보기 Power Platform 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 &#169; Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관
2026-01-13T09:29:39
https://www.microsoft.com/ko-kr/power-platform/products/power-bi/power-bi-pro
Power BI Pro | Microsoft Power Platform This is the Trace Id: df799d9c261f09f1d5f0428769799494 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power BI Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 파트너 리소스 Power BI 알아보기 Power BI 알아보기 설명서 비즈니스 인텔리전스 주제 데이터 스토리텔링 Power BI 블로그 Power BI 지원 Power BI 커뮤니티 Power BI 다운로드 지금 구입하기 무료로 시작 로그인 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 Power BI Pro&lt;/h1> "> Power BI Pro 조직 전체에서 데이터 기반 문화를 조성합니다.  셀프 서비스 분석을 사용하여 대화형 데이터 시각화를 공유하고 공동 작업합니다. 지금 구매하기 무료로 사용해 보기 기능 기능 이점 다음 단계 기능 Share insights for a bigger impact&lt;/h2> "> 더 큰 영향을 위한 인사이트 공유 데이터 기반 공동 작업 누구나 직감이 아닌 사실을 바탕으로 의사 결정을 내릴 수 있도록 지원하는 다양한 데이터 시각화를 공유하세요. 책임 있는 데이터 공유 조직 안팎의 팀원들과 결과를 공유하고, 필요에 따라 사용 권한을 조정하세요. 어디에서나 데이터 액세스 Power BI 모바일 앱을 통해 시각화에 액세스하여 어디서나 데이터에 기반한 의사 결정을 내리세요. 실시간으로 정보 팀 메모를 사용하여 협업을 향상하고, 콘텐츠 구독 및 업데이트 알림을 바탕으로 최신 상태를 유지하세요. 혜택 Create a data-driven culture&lt;/h2> "> 데이터 기반 문화 만들기 신뢰할 수 있는 데이터 허브 만들기 데이터 원본에 연결하고 이를 OneLake 데이터 허브에 추가하여 데이터에 액세스할 수 있는 단일 정보 소스를 만듭니다. 누구나 데이터를 준비할 수 있도록 지원 모든 사용자가 분석을 위해 데이터를 연결하고 셰이핑할 수 있도록 하는 로우 코드 또는 코드 없는 데이터 준비 및 모델링 도구를 활용해 보세요. 더 많은 인사이트 검색 업계 최고의 시각적 개체 및 고급 생성형 AI 기능을 사용하여 게임 변경 인사이트를 파악합니다. 친숙한 도구 사용 Microsoft Teams, Dynamics 365 및 Microsoft Power Platform 같이 매일 사용하는 도구 내에서 인사이트를 공유합니다. 안전한 데이터 관리 데이터를 안전하게 보호하여 해당 업계의 규정 준수 표준과 인증을 준수하세요. Microsoft Fabric으로 더 발전 Fabric을 사용하여 데이터 작업 방식을 재구성합니다. Power BI 다른 워크로드의 전체 제품군과 결합하여 한 곳에서 모든 항목에 액세스합니다. Get started with Power BI Pro&lt;/h2> "> Power BI Pro 시작하기 Power BI Pro 구매 보고서를 게시하고 콘텐츠를 볼 수 있는 최신 셀프 서비스 분석을 통해 개별 사용자에게 라이선스를 부여하세요. 지금 구매하기 연락 요청하기 요청을 제출하여 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락을 받으세요. 요청 보내기 Power BI 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 &#169; Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: &#39;Segoe UI&#39;; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} &lt;/style> &lt;div class=&#34;ow-pro-c-container-modal proactive-chat-hidden&#34; id=&#34;proactive-chat-dialog&#34;> &lt;div class=&#34;ow-pro-c-button-container&#34;> &lt;button class=&#34;ow-pro-c-close-button c-glyph glyph-cancel&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; onclick=&#34;(window.chatInst.getProactiveChat()).toggle(false)&#34; >&lt;/button> &lt;/div> &lt;div class=&#34;ow-headinghelper-2 ow-pro-c-h-text&#34;>{{module.heading}}&lt;/div> &lt;div class=&#34;c-button f-primary ow-pro-c-p-text&#34;> {{chat-engagement.prompt}} &lt;/div> &lt;div class=&#34;ow-pro-c-image-container ow-pro-c-d-flex&#34;> &lt;img src=&#34;{{module.img-src}}&#34; alt=&#34;{{module.img-alt-txt}}&#34; class=&#34;ow-pro-c-image&#34; /> &lt;ul data-cta-count=&#34;1&#34;> &lt;li class=&#34;ow-link-wrapper&#34;> &lt;button id=&#34;chatEngagement&#34; aria-label=&#34;{{chat-engagement-aria-label}}&#34; class=&#34;c-button f-primary ow-pro-c-chat-button&#34; data-bi-cn=&#34;Chat_invite_accept&#34; data-bi-bhvr=&#34;180&#34; > &lt;span> {{chat-engagement.btn-txt}} &lt;/span> &lt;/button> &lt;/li> &lt;/ul> &lt;button id=&#34;chatDisengagement&#34; class=&#34;ow-pro-c-button-glyph-container ow-pro-c-d-flex&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; > &lt;div class=&#34;ow-pro-c-no-button&#34;>{{chat-disengagement.btn-txt}}&lt;/div> &lt;div class=&#34;ow-pro-c-no-button c-glyph glyph-cancel&#34;>&lt;/div> &lt;/button> &lt;/div> &lt;/div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:39
https://git-scm.com/book/fa/v2/%da%af%db%8c%d8%aa-%d8%aa%d9%88%d8%b2%db%8c%d8%b9%e2%80%8c%d8%b4%d8%af%d9%87-Distributed-git-%d8%ae%d9%84%d8%a7%d8%b5%d9%87-Summary
Git - خلاصه (Summary) About Trademark Learn Book Cheat Sheet Videos External Links Tools Command Line GUIs Hosting Reference Install Community This book is available in English . Full translation available in azərbaycan dili , български език , Deutsch , Español , فارسی , Français , Ελληνικά , 日本語 , 한국어 , Nederlands , Русский , Slovenščina , Tagalog , Українська , 简体中文 , Partial translations available in Čeština , Македонски , Polski , Српски , Ўзбекча , 繁體中文 , Translations started for Беларуская , Indonesian , Italiano , Bahasa Melayu , Português (Brasil) , Português (Portugal) , Svenska , Türkçe . The source of this book is hosted on GitHub. Patches, suggestions and comments are welcome. Chapters ▾ 1. شروع به کار (getting started) 1.1 درباره ورژن کنترل (About Version Control) 1.2 تاریخچه کوتاهی از گیت (A Short History of Git) 1.3 گیت چیست؟ (What is Git) 1.4 نصب گیت (Installing Git) 1.5 ستاپ اولیه گیت (First-Time Git Setup) 1.6 دریافت کمک (Getting Help) 1.7 خلاصه (summary) 2. مقدمات گیت (git basics chapter) 2.1 گرفتن یک مخزن گیت (Getting a Git Repository) 2.2 ثبت تغییرات در مخزن (Recording Changes to the Repository) 2.3 مشاهده تاریخچه کامیت‌ها (Viewing the Commit History) 2.4 بازگرداندن تغییرات (Undoing Things) 2.5 کار کردن با ریموت ها (Working with Remotes) 2.6 تگ کردن (Tagging) 2.7 نام مستعار گیت (Git Aliases) 2.8 خلاصه (summary) 3. انشعاب‌گیری در گیت (Git Branching) 3.1 شاخه‌ها در یک نگاه (Branches in a Nutshell) 3.2 شاخه‌بندی و ادغام پایه‌ای (Basic Branching and Merging) 3.3 مدیریت شاخه‌ها (Branch Management) 3.4 روندهای کاری شاخه‌ها (Branching Workflows) 3.5 شاخه‌های راه دور (Remote Branches) 3.6 بازپایه‌گذاری (Rebasing) 3.7 خلاصه (Summary) 4. گیت روی سرور (Git on the server) 4.1 پروتکل‌ها (The Protocols) 4.2 راه‌اندازی گیت روی یک سرور (Getting Git on a Server) 4.3 ایجاد کلید عمومی SSH شما (Generating Your SSH Public Key) 4.4 نصب و راه‌اندازی سرور (Setting up server) 4.5 سرویس‌دهنده گیت (Git Daemon) 4.6 HTTP هوشمند (Smart HTTP) 4.7 گیت‌وب (GitWeb) 4.8 گیت‌لب (GitLab) 4.9 گزینه‌های میزبانی شخص ثالث (Third Party Hosted Options) 4.10 خلاصه (Summary) 5. گیت توزیع‌شده (Distributed git) 5.1 جریان‌های کاری توزیع‌شده (Distributed Workflows) 5.2 مشارکت در یک پروژه (Contributing to a Project) 5.3 نگهداری یک پروژه (Maintaining a Project) 5.4 خلاصه (Summary) 6. گیت هاب (GitHub) 6.1 راه‌اندازی و پیکربندی حساب کاربری (Account Setup and Configuration) 6.2 مشارکت در یک پروژه (Contributing to a Project) 6.3 نگهداری یک پروژه (Maintaining a Project) 6.4 مدیریت یک سازمان (Managing an organization) 6.5 اسکریپتنویسی در گیتهاب (Scripting GitHub) 6.6 خلاصه (Summary) 7. ابزارهای گیت (Git Tools) 7.1 انتخاب بازبینی (Revision Selection) 7.2 مرحله‌بندی تعاملی (Interactive Staging) 7.3 ذخیره موقت و پاک‌سازی (Stashing and Cleaning) 7.4 امضای کارهای شما (Signing Your Work) 7.5 جستجو (Searching) 7.6 بازنویسی تاریخچه (Rewriting History) 7.7 بازنشانی به زبان ساده (Reset Demystified) 7.8 ادغام پیشرفته (Advanced Merging) 7.9 بازاستفاده خودکار از حل تضادها (Rerere) 7.10 اشکال‌زدایی با گیت (Debugging with Git) 7.11 سابماژول ها (Submodules) 7.12 بسته‌بندی (Bundling) 7.13 جایگزینی (Replace) 7.14 ذخیره‌سازی اطلاعات ورود (Credential Storage) 7.15 خلاصه (Summary) 8. سفارشی‌سازی Git (Customizing Git) 8.1 پیکربندی گیت (Git Configuration) 8.2 ویژگی‌های گیت (Git Attributes) 8.3 هوک‌های گیت (Git Hooks) 8.4 یک نمونه سیاست اعمال شده توسط گیت (An Example Git-Enforced Policy) 8.5 خلاصه (Summary) 9. گیت و سیستم‌های دیگر (Git and Other Systems) 9.1 گیت به‌عنوان کلاینت (Git as a Client) 9.2 مهاجرت به گیت (Migrating to Git) 9.3 خلاصه (Summary) 10. مباحث درونی گیت (Git Internals) 10.1 ابزارها و دستورات سطح پایین (Plumbing and Porcelain) 10.2 اشیا گیت (Git Objects) 10.3 مراجع گیت (Git References) 10.4 فایل‌های بسته (Packfiles) 10.5 نگاشت (The Refspec) 10.6 پروتکل‌های انتقال (Transfer Protocols) 10.7 نگهداری و بازیابی داده‌ها (Maintenance and Data Recovery) 10.8 متغیرهای محیطی (Environment Variables) 10.9 خلاصه (Summary) A1. پیوست A: گیت در محیط‌های دیگر (Git in Other Environments) A1.1 رابط های گرافیکی (Graphical Interfaces) A1.2 گیت در ویژوال استودیو (Git in Visual Studio) A1.3 گیت در Visual Studio Code (Git in Visual Studio Code) A1.4 گیت در IntelliJ / PyCharm / WebStorm / PhpStorm / RubyMine (Git in IntelliJ / PyCharm / WebStorm / PhpStorm / RubyMine) A1.5 گیت در Sublime Text (Git in Sublime Text) A1.6 گیت در بش (Git in Bash) A1.7 گیت در Zsh (Git in Zsh) A1.8 گیت در PowerShell (Git in PowerShell) A1.9 خلاصه (Summary) A2. پیوست B: گنجاندن گیت در برنامه‌های شما (Embedding Git in your Applications) A2.1 خط فرمان گیت (Command-line Git) A2.2 کتابخانهٔ گیت به زبان سی (Libgit2) A2.3 کتابخانه گیت برای زبان جاوا (JGit) A2.4 کتابخانه گیت برای زبان گو (go-git) A2.5 کتابخانه گیت پایتون (Dulwich) A3. پیوست C: دستورات گیت (Git Commands) A3.1 تنظیم و پیکربندی (Setup and Config) A3.2 گرفتن و ایجاد پروژه‌ها (Getting and Creating Projects) A3.3 نمونه‌برداری پایه‌ای (Basic Snapshotting) A3.4 انشعاب‌گیری و ادغام (Branching and Merging) A3.5 به‌اشتراک‌گذاری و به‌روزرسانی پروژه‌ها (Sharing and Updating Projects) A3.6 بازرسی و مقایسه (Inspection and Comparison) A3.7 عیب‌یابی (Debugging) A3.8 اعمال تغییرات به صورت پچ (Patching) A3.9 ایمیل (Email) A3.10 سیستم‌های خارجی (External Systems) A3.11 مدیریت (Administration) A3.12 دستورات سطح پایین گیت (Plumbing Commands) 2nd Edition 5.4 گیت توزیع‌شده (Distributed git) - خلاصه (Summary) خلاصه (Summary) حال باید در مشارکت کردن در پروژه‌ای که تحت گیت است، همچنین در نگهداری پروژهٔ خودتان یا یکپارچه‌سازی مشارکت‌های دیگر کاربران احساس راحتی کنید. تبریک که اکنون یک توسعه‌دهندهٔ گیت مؤثر هستید. در فصل بعد خواهید آموخت که چگونه از بزرگ‌ترین و محبوب‌ترین سرویس میزبانی گیت، یعنی گیت‌هاب استفاده کنید. prev | next About this site Patches, suggestions, and comments are welcome. Git is a member of Software Freedom Conservancy
2026-01-13T09:29:39
https://www.atlassian.com/nl/software/jira/product-discovery/pricing
Jira Product Discovery: prijsplannen om innovatie te stimuleren | Atlassian Doorgaan naar de inhoud Functies Prijzen Resources Meer + Probeer het gratis Probeer het gratis Terug Probeer het gratis Functies Prijzen Resources Aanmelden Probeer het gratis Functies Prijzen Resources Aanmelden Abonnementen en prijzen vergelijken Grootte van het team: gebruikers Rekening: Maandelijks Jaarlijks BESPAAR TOT 17% Free Altijd 3 makers gratis $0 Nu downloaden Aanbevolen Standard Voor individuele teams om aan de slag te gaan $10 per maker per maand Start gratis proefperiode Premium Meer zichtbaarheid en controle voor alle teams $25 per maker per maand Start gratis proefperiode Functies vergelijken Free Standard Premium Beheer Makerslimiet per site Dit is het maximale aantal makers dat je kunt toevoegen aan elk van je Jira Product Discovery-sites (je krijgt één site per abonnement). Makers zijn gelicentieerde gebruikers die projecten, ideeën, velden en weergaven actief aanmaken en beheren. Bekijk een volledige lijst met makerrechten. Free Drie makers Standard Onbeperkt Premium Onbeperkt Bijdragerslimiet per site Bijdragers hebben een gratis Atlassian-account nodig. Ze kunnen bijdragen aan discovery-projecten, maar hebben niet alle rechten nodig die ontwikkelaars nodig hebben. Bekijk een volledige lijst met bijdragerrechten. Free Onbeperkt Standard Onbeperkt Premium Onbeperkt Opslag Dit omvat alle Jira Product Discovery-projecten binnen een site. Meer informatie over opslag. Free Opslagruimte 2 GB Standard Opslagruimte 250 GB Premium Onbeperkt Automatisering Automatiseer elke taak en elk proces met slechts een paar klikken. Stel automatiseringsregels in voor één project, voor meerdere projecten of voor alle projecten op je site om je te helpen met schalen. Bespaar veel tijd en zorg ervoor dat je team gefocust blijft, met de automatiseringsengine zonder code van Jira. Bij het gratis abonnement zijn 200 regels per maand inbegrepen, bij het Standard-abonnement worden 500 regels per maand uitgevoerd en bij het Premium-abonnement worden 1.000 regels per gebruiker per maand toegepast. Meer informatie over automatisering. Free 200 regeluitvoeringen per maand Standard 500 regeluitvoeringen per maand Premium 1000 regeluitvoeringen per gebruiker per maand Project-workflows Volg verschillende stromen of soorten werk binnen een project. Meer informatie over het beheren van projectworkflows. Free checked Standard checked Premium checked Projectrollen Verleen toegang aan nieuwe gebruikers en wijs rechten toe aan drie projectrollen. Meer informatie over projectrollen. Free checked Standard checked Premium checked Aangepaste projectrollen Verleen toegang aan nieuwe gebruikers en wijs rechten toe aan drie projectrollen. Meer informatie over projectrollen. Free Standard checked Premium checked Gegevenslocatie Specificeer waar je je gegevens wilt hosten in het wereldwijde cloudplatform van Atlassian. Hierdoor kun je voldoen aan je bedrijfsbeleid en nalevingsvereisten. Meer informatie over gegevenslocatie. Free Standard checked Premium checked Beheerdersinzichten Krijg inzicht en een beter overzicht van je productgebruik met gegevens zoals beveiligingsniveau en toegang en activiteit na verloop van tijd. Free Standard Premium checked Releasetracks Bepaal wanneer en hoe je wijzigingen releaset aan gebruikers met releasetracks. Met opties om Atlassian-cloudreleases te beheren, wordt je dagelijkse beheer van onze cloudproducten voorspelbaarder met releasetracks. Deze helpen je bij het plannen, voorbereiden en zorgen voor succes bij komende productwijzigingen. Free Standard Premium checked IP allowlisting Vergroot de beveiliging van je team door alleen vertrouwde IP-adressen toegang te geven tot je site. Free Standard Premium checked Atlassian Intelligence (AI) AI-gestuurde functies helpen teams om collectieve intelligentie te ontwikkelen, efficiënte communicatie te bevorderen en het aantal vervelende taken te verminderen. Deze omvatten prompts in natuurlijke taal waarmee teams gemakkelijker relevante issues en hun afhankelijkheden, AI-gestuurde bewerkingservaringen en meer in Jira kunnen vinden. Free Standard Premium checked Aangepaste domeinen Geef organisaties de mogelijkheid Atlassian-producten te hosten onder hun eigen domeinnaam, zodat sites beter vindbaar, toegankelijker en uniek worden. Ze kunnen bijvoorbeeld go.jira.acme.com gebruiken in plaats van acme.atlassian.net. Free Standard Premium checked Sandbox BINNENKORT Bereid producten en apps voor, test ze en experimenteer ermee voordat je veranderingen aanbrengt aan je productieomgeving. De sandbox geeft je een realistisch beeld van hoe je nieuwe functie eruit zou kunnen zien of hoe deze werkt wanneer deze wordt gereleaset voor je gebruikers. Free Standard Premium checked Ideevorming Ideeën en sjablonen Maak ideeën aan, bewerk ze en beheer ze om productmogelijkheden, gebruikersproblemen en oplossingen vast te leggen. Gebruik ideeënsjablonen om de verzamelde informatie voor elk idee te standaardiseren. Meer informatie over het aanmaken, bewerken en beheren van ideeën. Free checked Standard checked Premium checked Idee importeren Ga snel aan de slag door Jira-issues of -ideeën te importeren vanuit CSV-documenten , zoals Excel-spreadsheets of Google Sheets. Free checked Standard checked Premium checked Inzichten Inzichten aanmaken, bewerken en beheren om ideeën aan te vullen met ondersteunende informatie, zoals klantenoffertes, gebruiksstatistieken en ondersteuningstickets. Meer informatie over inzichten . Free checked Standard checked Premium checked Chrome-extensie Leg ideeën en inzichten vast van elke website en stuur ze rechtstreeks naar Jira Product Discovery. Meer informatie over de Chrome-extensie. Free checked Standard checked Premium checked Hiërarchieën Beta Laat zien hoe ideeën zich ontwikkelen en zich tot elkaar verhouden, van kleinschalige taken tot grote projecten, zodat teams een volledig beeld krijgen. Free Standard Premium checked Prioriteren en roadmaps opstellen Lijstweergaven Organiseer en vergelijk je ideeën op één plek op basis van de belangrijkste criteria. Meer informatie over lijstweergaven. Free checked Standard checked Premium checked Matrixweergaven Vergelijk ideeën visueel in een tabel met een x- en y-as om eenvoudig ideeën op te doen die aan je criteria voldoen. Meer informatie over matrixweergaven. Free checked Standard checked Premium checked Bordweergaven Stel roadmaps op die zijn afgestemd op individuele belanghebbenden door ideeën te ordenen in een bord weergave op basis van specifieke criteria. Free checked Standard checked Premium checked Tijdlijnweergaven Stel een tijdlijnweergave samen met data op hoog niveau voor toegewijd werk. Free checked Standard checked Premium checked Aangepaste velden en formules Maak aangepaste velden aan en gebruik formules op basis van expressies om ideeën te vergelijken aan de hand van de criteria die voor jou het belangrijkst zijn. Free checked Standard checked Premium checked Betrokkenheid van belanghebbenden Opmerkingen, reacties en stemmen Maak een communicatiekanaal aan tussen productteams en de rest van je organisatie door opmerkingen en reacties toe te voegen aan ideeën en weergaven. Ontvang feedback van belanghebbenden door hen toe te staan om een bepaald aantal stemmen toe te wijzen aan ideeën. Meer informatie over opmerkingen. Free checked Standard checked Premium checked Idee exporteren Exporteer ideeën naar Excel-spreadsheets of Google Sheets. Meer informatie over het exporteren van ideeën. Free checked Standard checked Premium checked Intern deelbare links Deel ideeën en weergaven met iedereen die een Jira-licentie heeft om je plannen te delen en feedback te ontvangen. Free checked Standard checked Premium checked Jira-integratie Maak nieuwe Jira-issues aan of koppel ideeën aan bestaande tickets en volg de voortgang van deze issues vervolgens rechtstreeks vanuit Jira Product Discovery. Meer informatie over het koppelen van onze Jira-integratie. Free checked Standard checked Premium checked Gepubliceerde weergaven Deel alleen-lezen weergaven met interne en externe belanghebbenden die geen toegang hebben tot Jira of je Atlassian-site, om feedback te krijgen en zichtbaarheid voor je roadmap. Free Standard checked Premium checked Roadmaps Krijg meer inzicht in initiatieven van meerdere teams door roadmaps voor verschillende projecten samen te voegen in één overzicht. Free Standard Premium checked Weergavebeperkingen Stel granulaire beperkingen in voor wie specifieke weergaven binnen je ontdekkingsproject kan zien en bewerken. Free Standard Premium checked Klantenservice Ondersteuning Free Atlassian Community Standard Ondersteuning tijdens kantooruren Premium 24/7 Premium-support SLA Free Standard Premium 99,9% Krijg meer details Je abonnementskosten berekenen Gebruik onze prijzencalculator bovenaan deze pagina om de prijs van je abonnement te berekenen. Voer het aantal gebruikers in en kies een factureringscyclus (jaarlijks of maandelijks). Onze gedetailleerde prijstabellen voor de cloud bevatten prijsklassen voor onze Standard - of Premium -abonnementen op onze aankoop- en licentiesite. Over gebruikers en hoe de facturering hiervoor werkt Ontwikkelaars zijn factureerbare, betaalde gebruikers in Jira Product Discovery die projecten, ideeën, velden en weergaven actief aanmaken en beheren. Bijdragers zijn gratis gebruikers die een Atlassian-account nodig hebben. Ze kunnen bijdragen aan ontdekkingsprojecten, maar hebben niet alle rechten nodig die ontwikkelaars nodig hebben. Gebruikers zijn standaard bijdragers als ze producttoegang hebben tot Jira of Jira Service Management. Ga voor een volledige lijst van rechten naar onze documentatie voor producttoegang . Betaalmethoden Je kunt maandabonnementen betalen met een creditcard (MasterCard, Visa of American Express) of PayPal. Voor jaarabonnementen kun je betalen via creditcard, bankoverschrijving, ACH, cheque per post en Net-14- of Net-30-voorwaarden. Voor jaarlijkse abonnementen rekenen we je kosten aan voor het niveau dat het meest overeenkomt met het aantal makers dat je hebt. Afhankelijk van het aantal gekochte makers zijn jaarabonnementen mogelijk voordeliger. Gebruik onze prijzencalculator bovenaan deze pagina om de prijs van je abonnement te berekenen. Voer in hoeveel gebruikers je hebt en kies de jaarlijkse factureringscyclus. Details gratis proefperiode, terugbetalingen en abonnementen Met ons Free-abonnement kun je Jira Product Discovery uitproberen voor maximaal 3 makers met 2 GB opslagruimte en communitysupport. Als je meer dan 3 makers wilt toevoegen of toegang wilt tot meer functies, support en opslag, dan kun je je aanmelden voor een gratis proefperiode van 14 dagen voor ons Standard- of Premium-abonnement. Als je het Free-abonnement hebt en de gebruikerslimiet overschrijdt, word je automatisch geüpgraded naar een gratis proefperiode van 14 dagen voor het Standard-abonnement. Annuleren kan op elk moment, geen betalingsgegevens vereist. Als je niet tevreden bent over een product of service van Atlassian Cloud, krijg je je geld terug. Maandabonnementen komen in aanmerking voor een terugbetaling binnen je eerste betaalde maand en na het einde van je proefperiode. Jaarabonnementen komen in aanmerking binnen 30 dagen na betaling. Bekijk hoe je een terugbetaling aanvraagt. Integraties met andere Atlassian-producten Hoewel je Jira Product Discovery op zichzelf kunt gebruiken, zijn integraties met de volgende Atlassian Cloud-producten inbegrepen in je abonnement: Jira, Jira Service Management en Confluence. Jira : maak nieuwe Jira-epics en -issues aan of koppel ideeën aan bestaande epics en issues om de leveringsvoortgang van ideeën visueel te volgen, rechtstreeks vanuit Jira Product Discovery. Doelen : verbind ideeën rechtstreeks met projecten of doelen om ze te koppelen aan organisatiebrede initiatieven. Jira Service Management : voeg Jira Service Management-verzoeken toe als inzichten en ideeën. Confluence : integreer Jira Product Discovery-roadmaps rechtstreeks in de strategiepagina&#39;s van Confluence of koppel klantnotities en productspecificaties aan je Jira Product Discovery-ideeën voor extra context. Zelfbeheerde en cloud-opties Jira Product Discovery is alleen beschikbaar in de Cloud , wat betekent dat we bij je abonnement geen Data Center-opties bieden. Jira Product Discovery Premium Jira Product Discovery Premium is bedoeld voor organisaties met meerdere productteams die een beter inzicht in de roadmap, consistente werkwijzen en aanvullende administratieve ondersteuning nodig hebben om op grote schaal te kunnen functioneren. Hier vind je meer informatie over Premium . Bedrijf Vacatures Evenementen Blogs Relaties met investeerders Atlassian Foundation Mediapakket Contact Producten Rovo Jira Jira Align Jira Service Management Confluence Loom Trello Bitbucket Bekijk alle producten Resources Technische support Aanschaf en licenties Atlassian Community Kennisdatabase Marketplace Mijn account Supportticket maken Leren Partners Training en certificering Documentatie Resources voor ontwikkelaars Bedrijfsservices Alle bronnen bekijken Copyright © 2026 Atlassian Privacybeleid Kennisgeving en verzameling Voorwaarden Impressum Nederlands ▾ window.SSR_detailMetrics=Object.freeze({"getFeatureGateValues":{"startTime":0,"duration":54},"fetchUserLocaleS2S":{"startTime":373,"duration":155},"initializeFeatureGatesClient":{"startTime":366,"duration":7},"resolveRoute":{"startTime":373,"duration":161},"contentful-getCCPPricingData":{"startTime":534,"duration":18},"resolvePageProps":{"startTime":534,"duration":1236},"render":{"startTime":1773,"duration":76}}); window.SSR_totalMetrics=Object.freeze({"startTime":1768296574925,"duration":1849}); window.SSR_region="ap-northeast-2"; window.SSR_languagePack={"UserSeg.teamTypeSelection.customerService":"Klantenservice","UserSeg.teamTypeSelection.dataScience":"Datawetenschap","UserSeg.teamTypeSelection.design":"Ontwerp","UserSeg.teamTypeSelection.finance":"Finance","UserSeg.teamTypeSelection.humanResources":"Human Resources","UserSeg.teamTypeSelection.itSupport":"IT-ondersteuning","UserSeg.teamTypeSelection.legal":"Juridische afdeling","UserSeg.teamTypeSelection.marketing":"Marketing","UserSeg.teamTypeSelection.operations":"Operations","UserSeg.teamTypeSelection.otherOrPersonal":"Overige","UserSeg.teamTypeSelection.productManagement":"Productbeheer","UserSeg.teamTypeSelection.projectManagement":"Projectbeheer","UserSeg.teamTypeSelection.sales":"Sales","UserSeg.teamTypeSelection.softwareDevelopment":"Softwareontwikkeling","Jtbd.adhocTask":"Ad hoc taak- en incidentmanagement","Jtbd.backButton":"Terug","Jtbd.chooseOptions":"Kies maximaal 3 opties","Jtbd.continueButton":"Doorgaan","Jtbd.createStrategies":"Maak strategieën en doelen aan","Jtbd.documentation":"Gecentraliseerde documentatie","Jtbd.header":"Waar wil je team Jira voor gebruiken?","Jtbd.launchCampaigns":"Lanceer campagnes","Jtbd.manageBudget":"Beheer het budget en de middelen","Jtbd.manageClient":"Klant- en leveranciersrelaties beheren","Jtbd.manageMarketing":"Beheer marketinginhoud","Jtbd.manageTasks":"Beheer taken","Jtbd.mapDependencies":"Breng werkafhankelijkheden in kaart","Jtbd.prioritizeWork":"Werk prioriteren","Jtbd.processRequests":"Verwerk aanvragen van belanghebbenden","Jtbd.projectPlanning":"Projectplanning en -coördinatie","Jtbd.reportProgress":"Meld de voortgang van het project","Jtbd.riskCompliance":"Compliance en risicobeheer","Jtbd.runSprints":"Sprints uitvoeren","Jtbd.subHeader":"Laat je keuzes niet in de weg staan van wat je kunt doen.","Jtbd.systemAudits":"Evaluaties van systemen en tools","Jtbd.trackBugs":"Volg bugs","Jtbd.workInScrum":"Werken in scrum","TransparentTemplateV2.itSupport.productManagement.additionalInfo":"Je wordt doorgestuurd naar Jira Product Discovery. 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op","WacSignupForm.signupOfferingIncludesFeaturesStandardJSDFI":"Krijg toegang tot alle functies{newline}Los issues als team op{newline}Beantwoord snel veelgestelde vragen{newline}Automatiseer incidentmanagement","WacSignupForm.signupOfferingIncludesFeaturesStandardJSWFI":"{newline}Krijg toegang tot alle functies{newline}Schaal agile praktijken{newline}Consolideer workflows{newline}Plan, volg en publiceer","PasswordStrength.passwordModerate":"Wachtwoordsterkte: Matig","PasswordStrength.passwordStrong":"Wachtwoordsterkte: Sterk","PasswordStrength.passwordVeryStrong":"Wachtwoordsterkte: Zeer sterk","PasswordStrength.passwordWeak":"Wachtwoordsterkte: Zwak","WacSignupForm.FirstImpressions.noCreditCardRequiredFooter":"Geen creditcard nodig","WacSignupForm.SimpleSignup.devopsHeader":"Je site is klaar!","WacSignupForm.accountIdMisMatch":" Er is iets misgegaan. Vernieuw de pagina en probeer het opnieuw. ","WacSignupForm.alwaysFreeForUpto":"Altijd gratis voor maximaal tien gebruikers.","WacSignupForm.beaconExplore":"Atlassian-producten ontdekken","WacSignupForm.beaconRequireProducts":"Beacon vereist een of meer Atlassian-producten. Aangezien er geen producten aan dit account zijn gekoppeld, kun je van account wisselen of onze Atlassian-suite ontdekken.","WacSignupForm.bitbucketAccountDuplicate":"Vink dit vakje aan als je liever een nieuw account aanmaakt met dezelfde naam als de onderstaande site.","WacSignupForm.bitbucketCreateNewOrgInfoMessage":"We moeten een nieuwe Atlassian-organisatie aanmaken, omdat je momenteel geen organisatie hebt die deel uitmaakt van het gecentraliseerde gebruikersbeheer van Atlassian. Als je vragen hebt, neem dan contact op met ons supportteam voor hulp .","WacSignupForm.bitbucketMissingOrgsInfoMessage":"Als een organisatie niet wordt vermeld in het keuzemenu, neem dan contact op met ons supportteam voor hulp .","WacSignupForm.bitbucketOrgCreationEstimatedTimeMessage":"Dit duurt hooguit een paar minuten.","WacSignupForm.bitbucketOrgCreationPreparingProductMessage":"We bereiden je product voor.","WacSignupForm.bitbucketOrganizationIdFieldLabelMessage":"We maken je workspace aan in deze organisatie","WacSignupForm.bitbucketSubmitButtonTextMessage":"Akkoord en workspace aanmaken","WacSignupForm.bitbucketWorkspaceIdFieldErrorMessageCMT":"De workspace-ID is ongeldig. Workspace-ID's mogen alleen kleine letters, cijfers, streepjes en onderstrepingstekens bevatten.","WacSignupForm.bitbucketWorkspaceIdFieldHelperMessage":"De workspace-ID mag alleen kleine letters, cijfers, streepjes en onderstrepingstekens bevatten.","WacSignupForm.bitbucketWorkspaceIdFieldLabelMessage":"Je nieuwe workspace","WacSignupForm.bitbucketWorkspaceIdTakenErrorMessageCMT":"Deze workspace-ID is in gebruik. Probeer een andere ID.","WacSignupForm.ccpSiteMigrationFollowStepsBelow":"hieronder.","WacSignupForm.ccpSiteMigrationRequiresSupport":"Voor de migratie naar deze site is extra support van ons vereist.","WacSignupForm.ccpSiteMigrationStepAdditionalDetailsFieldName":"Aanvullende gegevens","WacSignupForm.ccpSiteMigrationStepAdditionalInfo":"3. Voer in het veld {AdditionalDetailsFieldName} de cloud-URL of het nummer van de gebruiksrechten in waarop je je proefperiode voor cloudmigratie wilt toepassen.","WacSignupForm.ccpSiteMigrationStepChoose":"en kies vervolgens","WacSignupForm.ccpSiteMigrationStepDCLicense":"van de Data Center-licentie en klik op","WacSignupForm.ccpSiteMigrationStepExtendProductTrials":"Proefperiode voor product verlengen","WacSignupForm.ccpSiteMigrationStepHelp":"Meer hulp nodig","WacSignupForm.ccpSiteMigrationStepProductTrials":"Proefperiode voor producten","WacSignupForm.ccpSiteMigrationStepSEN":"SEN","WacSignupForm.ccpSiteMigrationStepSelect":"1. Selecteer","WacSignupForm.ccpSiteMigrationStepSelectThe":"2. Selecteer de","WacSignupForm.ccpSiteMigrationfollowSteps":"Volg deze stappen zodra je","WacSignupForm.ccpStartNewSiteRequiresSupport":"Voor het aanmaken van een nieuwe site is extra support van ons vereist.","WacSignupForm.claimedMigrationSource":" Je verlengde proefperiode is al geactiveerd Het lijkt erop dat iemand deze proefperiode al heeft geactiveerd. Log in op my.atlassian.com of neem contact op met je sitebeheerder voor meer informatie. ","WacSignupForm.cloudEulaText":" Door hieronder te klikken, ga je akkoord met de Servicevoorwaarden en het Privacybeleid van Atlassian Cloud. ","WacSignupForm.cloudFree":"Cloud Free","WacSignupForm.cloudPremium":"Cloud Premium","WacSignupForm.cloudStandard":"Cloud Standard","WacSignupForm.contactSupportForCCPSite":"Neem contact op met support","WacSignupForm.createNewSite":"Een nieuwe site aanmaken","WacSignupForm.customizeYourFreePlan":"Pas je Free-abonnement aan","WacSignupForm.daysLeftInTrial":"{daysLeftInTrial, plural, one {Je proefperiode duurt nog {daysLeftInTrial,number} dag} other {Je proefperiode duurt nog {daysLeftInTrial,number} dagen}}","WacSignupForm.deferredSiteNameTooltipText":"Je sitenaam is de URL waarmee je site gevonden wordt. Probeer iets te kiezen wat herkenbaar is voor je team.","WacSignupForm.developerMode":" Je meldt je aan voor een gratis ontwikkelingsinstallatie van Atlassian Cloud. Gratis ontwikkelingsinstallaties zijn uitsluitend bedoeld voor ontwikkelings- en testdoeleinden. De gebruiksbeperkingen staan hieronder beschreven. Atlassian biedt geen support voor gratis ontwikkelingsinstallaties en behoudt zich het recht voor om dergelijke installaties op elk gewenst moment te verwijderen, zonder kennisgeving vooraf. Atlassian bewaakt het gebruik van dergelijke ontwikkelingsinstallaties en kan een installatie die wordt gebruikt op een onbevoegde of onbedoelde wijze annuleren. Jira Software, Jira Core: 5 gebruikers gratis Jira Service Desk: 1 agent gratis Confluence: 5 gebruikers gratis ","WacSignupForm.devopsButtonText":"Aanmelden","WacSignupForm.devopsCarouselButton":"Ga naar {product}","WacSignupForm.devopsStartButtonText":"Aanmelden","WacSignupForm.differentAccountSignin":" Aanmelden met een ander Atlassian-account ","WacSignupForm.differentAcountSignin":" Aanmelden met een ander Atlassian-account ","WacSignupForm.dropdownWithJiraSoftware":"Sites met Jira Software:","WacSignupForm.dropdownWithRecommended":"AANBEVOLEN SITES","WacSignupForm.dropdownWithoutJiraSoftware":"Sites zonder Jira Software:","WacSignupForm.dropdownWithoutRecommended":"ANDERE SITES","WacSignupForm.emailLabel":"Zakelijke e-mail","WacSignupForm.emailPlaceholder":"sallysmith@email.com","WacSignupForm.emailRequired":"Zakelijke e-mail*","WacSignupForm.errorCaptchaMsg":"Fout bij captcha-verificatie","WacSignupForm.errorDomainIsAnnualMsg":"Het Free-abonnement is nog niet beschikbaar voor jaarabonnementen. Selecteer een site met een maandelijks abonnement.","WacSignupForm.errorDomainLengthMaxMsg":"Dat is iets te lang, probeer er 50 tekens of minder van te maken.","WacSignupForm.errorDomainLengthMinMsg":"Je sitenaam moet minimaal 3 tekens lang zijn. Gebruik alleen kleine letters en cijfers. Je mag koppeltekens gebruiken, maar niet aan het begin of einde van je naam.","WacSignupForm.errorDomainLengthMinMsgDeferredSiteName":"Moet minimaal drie tekens bevatten (mag alleen uit cijfers en kleine letters bestaan). Mag niet beginnen of eindigen met een streepje (-).","WacSignupForm.errorDomainLengthMinMsgDevops":"Je suitenaam moet minimaal 3 tekens lang zijn. Gebruik alleen kleine letters en cijfers. Je mag koppeltekens gebruiken, maar niet aan het begin of einde van je naam.","WacSignupForm.errorDomainTakenMsg":"Deze site wordt al gebruikt.","WacSignupForm.errorDomainTakenMsgDeferredSiteName":"Deze sitenaam wordt al gebruikt.","WacSignupForm.errorDomainTakenMsgDevops":"Deze suite wordt al gebruikt.","WacSignupForm.errorEmailInUseLoginToContinueMsg":"log in om door te gaan","WacSignupForm.errorEmailInUseMsg":"Er bestaat al een Atlassian-account met dit e-mailadres. Als dit jouw account is, log dan in om door te gaan .","WacSignupForm.errorEmailInvalidMsg":"Voer een geldig e-mailadres in","WacSignupForm.errorFirstNameMsg":"Voer je voornaam in","WacSignupForm.errorLastNameMsg":"Voer je achternaam in","WacSignupForm.errorName":"Ongeldig naampatroon.","WacSignupForm.errorNameLength":"Volledige naam mag niet meer dan 255 tekens bevatten","WacSignupForm.errorPasswordMinMsg":"Wachtwoord moet minimaal 8 tekens lang zijn","WacSignupForm.errorSsoInUse.withLink":"Gebruik eenmalige aanmelding om toegang te krijgen tot je account en verder te gaan met het aanmelden voor je product. Login om door te gaan. ","WacSignupForm.errorTimeout":" Het duurt langer dan verwacht voordat je aan de slag kunt. Controleer je postvak om te zien of de order goed is afgerond of neem contact met ons op. ","WacSignupForm.errorValidationMessage":"Controleer de gemarkeerde velden hieronder en probeer het opnieuw.","WacSignupForm.eula":"Door hieronder te klikken, ga je akkoord met de Atlassian Cloud-servicevoorwaarden en het Privacybeleid. ","WacSignupForm.eulaChooseSignup":" Door hieronder op 'Doorgaan' te klikken, ga je akkoord met de Servicevoorwaarden van Atlassian Cloud en erken je het Privacybeleid van Atlassian. ","WacSignupForm.eulaCompass":" Door je aan te melden voor het Early Access Program (EAP) ga je akkoord met de Cloud-servicevoorwaarden (TOS) van Atlassian en het privacybeleid van Atlassian ","WacSignupForm.eulaCompassTooltip":" De EAP-producten worden beschouwd als Beta-versies, zoals uiteengezet in Artikel 14 van de Algemene Voorwaarden en zijn onderhevig aan de bijbehorende voorwaarden en disclaimers. Atlassian gebruikt de informatie die je invult in dit aanmeldingsformulier om contact met je op te nemen over het EAP-programma, inclusief updates van het programma, feedbackverzoeken en aanbiedingen. ","WacSignupForm.eulaCutSignupInHalf":" Als je hieronder op 'Aanmelden' klikt, ga je akkoord met de Servicevoorwaarden en het Privacybeleid van Atlassian Cloud. ","WacSignupForm.eulaJsmIncentive":" Door hieronder te klikken, ga je akkoord met de Servicevoorwaarden en het Privacybeleid en de Algemene voorwaarden van Atlassian Cloud van de aanbieding. ","WacSignupForm.existingSite":"Gebruik een bestaande site","WacSignupForm.firstNameLabel":"Voornaam","WacSignupForm.firstNamePlaceholder":"Voornaam","WacSignupForm.freeAndNoCreditCardNeeded":"Gratis voor maximaal 10 gebruikers. Geen creditcard nodig.","WacSignupForm.freeBreachInfoBoxConsiderTrial":"Overweeg een Standard-proefperiode","WacSignupForm.freeBreachInfoBoxCopy":" Deze site komt in aanmerking voor een proefperiode van 30 dagen voor een Standard-abonnement, met volledige toegang voor 5.000 gebruikers of agents. Met een proefperiode kan je team alles samen gebruiken. Als je een nieuwe site start, wordt deze niet geïntegreerd met je andere producten. ","WacSignupForm.freeBreachInfoBoxCopyJsmIncentive":" Sorry, deze site overtreft het totale aantal agents dat is toegestaan voor de tijdelijke aanbieding om 10 gratis agents te krijgen. Klik hier om je in plaats daarvan aan te melden voor een betaald Standard-abonnement. ","WacSignupForm.freeBreachInfoBoxStartTrialCta":"Begin een proefperiode van 30 dagen","WacSignupForm.freeBreachLimitExceededError":"Deze site heeft meer gebruikers dan is toegestaan bij Free.","WacSignupForm.freeBreachLimitExceededErrorJsmIncentive":"Deze site overtreft het aantal agents dat in aanmerking komt voor de aanbieding.","WacSignupForm.freeToGetStarted":"Gratis om mee aan de slag te gaan, geen creditcard nodig.","WacSignupForm.fullNameLabel":"Volledige naam","WacSignupForm.gdprMessage":"Selecteer de data center-regio om je Opsgenie-specifieke productgegevens te bewaren:","WacSignupForm.helpTooltip
2026-01-13T09:29:39
https://support.microsoft.com/ro-ro/office/ad%C4%83ugarea-unei-pagini-a-unei-liste-sau-a-unei-biblioteci-de-documente-sharepoint-ca-fil%C4%83-%C3%AEn-teams-131edef1-455f-4c67-a8ce-efa2ebf25f0b
Ad&#x103;ugarea unei pagini, a unei liste sau a unei biblioteci de documente SharePoint ca fil&#x103; &#xEE;n Teams - Asisten&#x21B;&#x103; Microsoft Salt la conținutul principal Microsoft Asistență Asistență Asistență Pornire Microsoft 365 Office Produse Microsoft 365 Outlook Microsoft Teams OneDrive Microsoft Copilot OneNote Windows mai multe... Dispozitive Surface Accesorii PC Xbox Jocuri pentru PC HoloLens Surface Hub Garanții pentru hardware Cont și facturare Cont Microsoft Store și facturare Resurse Install Microsoft 365 Community forums Administratori Microsoft 365 Portal pentru firme mici Dezvoltator Educație Raportați o &#238;nșelătorie de tip asistență tehnică Siguranța produselor Mai mult Cumpărați Microsoft 365 Toate Microsoft Global Microsoft 365 Teams Copilot Windows Surface Xbox Asistență Software-uri Software-uri Aplicații Windows IA OneDrive Outlook Se face trecerea de la Skype la Teams OneNote Microsoft Teams PC-uri şi dispozitive PC-uri şi dispozitive Accesorii Divertisment Divertisment Jocuri PC Afaceri Afaceri Securitate Microsoft Azure Dynamics 365 Microsoft 365 pentru firme Microsoft Industry Microsoft Power Platform Windows 365 Dezvoltator și IT Dezvoltator și IT Dezvoltator Microsoft Documentație Microsoft Learn Comunitatea tehnică Microsoft Microsoft Marketplace Visual Studio Marketplace Rewards Alte Alte Descărcări și securitate gratuite Educație Vizualizare hartă site Căutare Căutați ajutor Niciun rezultat Anulați Conectare Conectați-vă cu Microsoft Conectați-vă sau creați un cont Salut, Selectați un alt cont. Aveți mai multe conturi Alegeți contul cu care doriți să vă conectați. SharePoint Pagini Creare &#x219;i editare Creare &#x219;i editare Ad&#x103;ugarea unei pagini, a unei liste sau a unei biblioteci de documente SharePoint ca fil&#x103; &#xEE;n Teams Ad&#x103;ugarea unei pagini, a unei liste sau a unei biblioteci de documente SharePoint ca fil&#x103; &#xEE;n Teams Se aplic&#x103; la SharePoint &#xEE;n Microsoft 365 Microsoft365.com Aduceți resursele echipei într-un singur loc central, astfel încât membrii echipei să se concentreze, să comunice și să colaboreze pentru a duce lucrul la bun sfârșit. Adăugați fila SharePoint din Teams pentru a lipi rapid orice pagină, postare de știri sau listă publicată de pe un site SharePoint. În Microsoft Teams , puteți adăuga pagini, liste și biblioteci de documente SharePoint publicate ca file individuale într-un canal Teams. Membrii echipei pot să vizualizeze pagini, să editeze liste, să lucreze cu fișierele lor partajate și să adauge comentarii în filele Teams.  Paginile SharePoint pagini vă permit să partajați informații, știri sau idei utilizând imagini, videoclipuri și linkuri. Liste listele SharePoint sunt o modalitate foarte bună de a colabora la conținut și date. Bibliotecile de documente SharePoint bibliotecile de documente stochează în siguranță fișierele în care membrii echipei le pot găsi pe orice dispozitiv. Note:  Anumite funcționalități sunt prezentate treptat organizațiilor care au optat pentru programul Lansare pentru audiență specifică . Acest lucru înseamnă că este posibil să nu vedeți încă această caracteristică sau că ea poate arăta diferit de ceea ce este descris în articolele de ajutor. Dacă nu vedeți opțiunea de a adăuga o filă în Teams, colaborați cu proprietarul site-ului de echipăSharePoint pentru a obține acces. Adăugarea unei pagini din site-ul de echipă ca filă în Teams Note:  Fiecare pagină, listă sau bibliotecă de documente va trebui adăugată ca filă pe rând. Repetați acest proces pentru a adăuga mai multe file la canalul Teams. Trebuie să fiți proprietarul site-ului SharePoint pentru a adăuga conținut de site ca filă în Teams. 1. În Teams, selectați pagina canalului. În partea dreaptă a numelui canalului, selectați + pe bara filă. 2. Selectați SharePoint . 3. Selectați Pagini pentru a vedea o listă de pagini SharePoint existente și postări de știri disponibile de pe site-ul de echipă. Selectați conținutul SharePoint de adăugat ca filă în canalulTeams. 4. Bifați caseta de selectare Postați pe canal despre această filă pentru a genera și a publica automat un anunț în canalulTeams, anunțându-vă colegii că ați adăugat această filă. 5. Selectați Salvare . Adăugarea unei liste din site-ul de echipă ca filă în Teams Note:  Fiecare pagină, listă sau bibliotecă de documente va trebui adăugată ca filă pe rând. Repetați acest proces pentru a adăuga mai multe file la canalul Teams. Trebuie să fiți proprietarul site-uluiSharePoint pentru a adăuga conținut de site ca filă în Teams. 1. În Teams, selectați pagina canalului. În partea dreaptă a numelui canalului, selectați + pe bara filă. 2. Selectați SharePoint . 3. Selectați Liste  pentru a vedea listele de SharePoint existente disponibile de pe site-ul de echipă. Selectați conținutul SharePoint de adăugat ca filă în canalul Teams. 4. Bifați caseta de selectare Postați pe canal despre această filă pentru a genera și a publica automat un anunț în canalul Teams, anunțându-vă colegii că ați adăugat această filă. 5. Selectați Salvare . Adăugarea unei biblioteci de documente ca filă din site Note:  Fiecare pagină, listă sau bibliotecă de documente va trebui adăugată ca filă pe rând. Repetați acest proces pentru a adăuga mai multe file la canalulTeams. Trebuie să fiți proprietarul site-uluiSharePoint pentru a adăuga conținut de site ca filă în Teams. 1. În Teams, selectați pagina canalului. În partea dreaptă a numelui canalului, selectați + pe bara filă. 2. Selectați SharePoint . 3. Selectați Biblioteci de documente pentru a vedea bibliotecile SharePoint existente disponibile de pe site-ul de echipă. De asemenea, puteți alege o bibliotecă de documente din secțiunea Recomandat pentru a o adăuga ca filă în canalul Teams. 4. Bifați caseta de selectare Postați pe canal despre această filă pentru a genera și a publica automat un anunț în canalul Teams, anunțându-vă colegii că ați adăugat această filă. 5. Selectați Salvare . Adăugarea unei pagini, a unei liste sau a unei biblioteci de documente dintr-un alt site SharePoint Notă:  SharePoint va valida URL-ul SharePoint și dacă aveți acces la pagină. Permisiunile paginii propriu-zise nu se vor modifica. Dacă utilizatorii din echipă nu au permisiunea de a accesa pagina cu file, li se va afișa o pagină pentru a solicita acces. 1. În Teams, selectați pagina canalului. În partea dreaptă a numelui canalului, selectați + pe bara filă. 2. Selectați SharePoint . 3. Selectați butonul radio Orice site SharePoint , apoi lipiți adresa URL a paginii, a postării de știri sau a listei pe care doriți să o adăugați ca filă. 4. Bifați caseta de selectare Postați pe canal despre această filă pentru a genera și a publica automat un anunț în canalul Teams, anunțându-vă colegii că ați adăugat această filă. 5. Selectați Salvare . Mai multe modalități de a integra conținutul SharePoint înMicrosoft Teams Adăugarea știrilor de pe site-ul de echipă într-un canal Teams  Aveți nevoie de ajutor suplimentar? Doriți mai multe opțiuni? Descoperiți Comunitate Explorați avantajele abonamentului, navigați prin cursurile de instruire, aflați cum să vă securizați dispozitivul și multe altele. Beneficiile abonamentului Microsoft 365 Instruire Microsoft 365 Securitate Microsoft Centru de accesibilitate Comunitățile vă ajută să adresați întrebări și să răspundeți la întrebări, să oferiți feedback și să primiți feedback de la experți cu cunoștințe bogate. Întrebați Comunitatea Microsoft Comunitatea tehnică Microsoft Utilizatorii Windows Insider Utilizatori Insider Microsoft 365 Au fost utile aceste informații? Da Nu Vă mulțumim! Mai aveți feedback pentru Microsoft? Ne puteți ajuta să îmbunătățim? (Trimiteți feedback la Microsoft pentru a vă putea ajuta.) Cât de mulțumit sunteți de calitatea limbajului? Ce v-a afectat experiența? Mi-a rezolvat problema Instrucțiuni clare Ușor de urmărit Fără jargon Imaginile au fost de ajutor Calitatea traducerii Nu s-a potrivit cu ecranul meu Instrucțiuni incorecte Prea tehnic Informații insuficiente Imagini insuficiente Calitatea traducerii Aveți feedback suplimentar? (opțional) Trimiteți feedback Apăsând pe Trimitere, feedbackul dvs. va fi utilizat pentru a îmbunătăți produsele și serviciile Microsoft. Administratorul dvs. IT va avea posibilitatea să colecteze aceste date. Angajamentul de respectare a confidențialității. Vă mulțumim pentru feedback! &times; Noutăți Copilot pentru organizații Copilot pentru uz personal Microsoft 365 Aplicații Windows 11 Microsoft Store Profil de cont Centrul de descărcare Retururi Urmărire comandă Reciclare Garanții comerciale Educație Microsoft Education Dispozitive pentru educație Microsoft Teams pentru educație Microsoft 365 Education Office Education Instruirea și dezvoltarea educatorilor Promoții pentru studenți și părinți Azure pentru studenți Afaceri Securitate Microsoft Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams Dezvoltator și IT Dezvoltator Microsoft Documentație Microsoft Learn Comunitatea tehnică Microsoft Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio Companie Cariere Confidențialitatea &#238;n cadrul companiei Microsoft Angajamentul Microsoft privind prevenirea corupției și mitei Investitori Sustenabilitate Rom&#226;nă (Rom&#226;nia) Pictograma Renunțare la opțiunile de confidențialitate Opțiunile dumneavoastră de confidențialitate Pictograma Renunțare la opțiunile de confidențialitate Opțiunile dumneavoastră de confidențialitate Confidențialitatea pentru sănătatea consumatorilor Contactați Microsoft Confidențialitate Gestionare cookie-uri Condiţii de utilizare Mărci comerciale Despre reclamele noastre EU Compliance DoCs Raportare de reglementare &#169; Microsoft 2026
2026-01-13T09:29:39
https://aws.amazon.com/route53/traffic-flow/
traffic-flow Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Amazon Route 53 Overview Pricing Networking and Content Delivery › Amazon Route 53 › Traffic Flow Amazon Route 53 Traffic Flow Simplify building DNS routing policies and use policy versions to quickly change traffic patterns. Get started with Amazon Route 53 Traffic Flow Benefits Interactive flowchart for DNS policy management Simplify the process of creating and maintaining DNS records by using the Traffic Flow visual canvas in your web browser. Create combinations of routing types Build chains of decision points behind each Traffic Flow DNS record to define precisely how users are routed to endpoints using Route 53 DNS routing policies. Versioning and rollbacks Store DNS configurations as versions, easily change traffic patterns, and rollback to a previous version, if necessary. Use cases Improve performance and gain greater control Use multiple routing methods together, such as geoproximity, geolocation, weighted, and failover to meet your performance and resiliency objectives. Visualize DNS routing complexities Better understand, make changes to, and view the way your users are routed to your public infrastructure. Integrate with your tooling Use JSON descriptions to store current and previous states of your DNS routing policies to integrate with your team’s DevOps and GitOps workflows. Learn more about Route 53 Traffic Flow and create your first Traffic Flow policy Play Get started Getting started How to create your first Traffic Flow policy Learn more Getting started Managing global AWS Local Zones applications with Amazon Route 53 Geoproximity routing Learn more Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? Cloud Computing Concepts Hub AWS Cloud Security What's New Blogs Press Releases Resources Getting Started Training AWS Trust Center AWS Solutions Library Architecture Center Product and Technical FAQs Analyst Reports AWS Partners Developers Builder Center SDKs &amp; Tools .NET on AWS Python on AWS Java on AWS PHP on AWS JavaScript on AWS Help Contact Us File a Support Ticket AWS re:Post Knowledge Center AWS Support Overview Get Expert Help AWS Accessibility Legal English Back to top Amazon is an Equal Opportunity Employer: Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age. x facebook linkedin instagram twitch youtube podcasts email Privacy Site terms Cookie Preferences © 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved.
2026-01-13T09:29:39
https://www.microsoft.com/ko-kr/power-platform/products/power-bi/desktop
Power BI Desktop | Microsoft Power Platform This is the Trace Id: 4dee2c3a3d4376a180049634682ee0bd 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power BI Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 파트너 리소스 Power BI 알아보기 Power BI 알아보기 설명서 비즈니스 인텔리전스 주제 데이터 스토리텔링 Power BI 블로그 Power BI 지원 Power BI 커뮤니티 Power BI 다운로드 지금 구입하기 무료로 시작 로그인 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 Power BI Desktop&lt;/h1> "> Power BI Desktop 무료로 시각적 분석을 통해 풍부한 대화형 보고서를 손쉽게 생성하세요. 지금 다운로드 고급 다운로드 옵션 제품 개요 제품 개요 다음 단계 리소스 제품 개요 Go from data to insight to action with Microsoft Power BI Desktop&lt;/h2> "> Microsoft Power BI Desktop을 사용하여 데이터에서 인사이트로 그리고 작업으로 이동 인사이트 만들기 데이터에 연결 이전 다음 Microsoft 365의 친숙함으로 고급 분석을 활용하세요. 데이터를 심층적으로 분석하고 실행 가능한 인사이트로 이어지는, 놓쳤을 수도 있는 패턴을 찾아보세요. 빠른 측정, 그룹화, 예측 및 클러스터링과 같은 기능을 사용하세요. 강력한 DAX(Data Analysis Expressions) 수식 언어를 사용하여 고급 사용자에게 모델에 대한 완전한 제어권을 부여하세요. Microsoft 365에 익숙하다면 Power BI가 편함을 느낄 것입니다. AI 기반 증강 분석으로 데이터 인사이트 심화 데이터를 탐색하고, 패턴을 자동으로 찾고, 데이터의 의미를 이해하고, 향후 결과를 예측하여 비즈니스 결과를 추진합니다. Azure에서 새롭게 개발되었으며 이제 Power BI에서 사용할 수 있는 새로운 AI 기능은 코드가 필요하지 않으므로 모든 Power BI 사용자가 숨겨진 실행 가능한 인사이트를 검색하고 보다 전략적인 비즈니스 결과를 이끌어내는 데 도움을 줍니다. 사용자 지정된 대화형 보고서 만들기 대화형 데이터 시각화를 사용하여 놀라운 보고서를 만듭니다. 끌어서 놓기 캔버스와 Microsoft 및 파트너의 수백 개의 최신 데이터 시각적 개체를 사용하여 데이터 스토리를 전달하거나 Power BI 오픈 소스 사용자 지정 시각적 개체 프레임워크를 사용하여 직접 만들어 보세요. 테마, 서식 및 레이아웃 도구를 사용하여 보고서를 디자인합니다. 최신 데이터 시각적 개체 어디서나 누구와도 인사이트 공유 필요한 사용자에게 시각적 분석을 제공합니다. 시청자가 이동 중에도 사용할 수 있도록 모바일에 최적화된 보고서를 만듭니다. Power BI Desktop에서 클라우드 또는 온-프레미스로 게시합니다. Power BI Desktop에서 만든 보고서를 기존 앱 또는 웹 사이트에 포함합니다. 어디에 있든 데이터에 연결 Dynamics 365, Salesforce, Azure SQL Database, Excel 및 SharePoint와 같은 수백 개의 지원되는 온-프레미스 및 클라우드 기반 원본에서 데이터에 액세스합니다. 자동화된 증분 새로 고침을 통해 항상 최신 상태를 유지합니다. Power BI Desktop을 사용하여 광범위한 시나리오에 대한 심층적인 실행 가능한 인사이트를 개발합니다. 손쉬운 데이터 준비 및 모델링 데이터 모델링 도구를 사용하여 시간을 절약하고 데이터 준비를 더 간단하게 만드세요. 수백만 명의 Excel 사용자에게 친숙한 셀프 서비스 Power Query 환경을 사용하여 하루의 시간을 절약하세요. Power BI의 데이터를 수집, 변환, 통합 및 보강합니다. 탭으로 돌아가기 다음 단계 Publish and share reports with Power BI Pro&lt;/h2> "> Power BI Pro를 사용하여 보고서 게시 및 공유 Power BI Pro 사용해 보기 Power BI Pro ₩18,900 사용자/월, 연간 결제 가격에는 부가가치세가 포함되어 있지 않습니다. Power BI Pro 구매 가격에는 부가가치세가 포함되어 있지 않습니다. Power BI Pro 구매 이 제품은 해당 국가에서는 구매할 수 없습니다. Power BI Desktop과 Power BI Pro를 결합하여 어디서나 인사이트를 배포하고 액세스하세요. 모든 디바이스에서 공동 작업하여 보고서를 작성, 게시 및 공유합니다. 리소스 Explore everything Power BI Desktop has to offer&lt;/h2> "> Power BI Desktop이 제공하는 모든 항목 살펴보기 뉴스 Power BI Desktop의 새로운 기능 보기 Power BI 블로그의 최신 기능 및 개선 사항에 대해 알아봅니다. 블로그 읽기 가이드 Power BI Desktop 시작 이 시작 가이드를 사용하여 Power BI Desktop을 둘러보세요. 자세히 알아보기 커뮤니티 Power BI 커뮤니티에 가입 동료와 연결하고, 아이디어를 공유하고, 전문가에게 배우세요. 커뮤니티에 가입 Get started with Power BI&lt;/h2> "> Power BI 시작 무료로 Power BI 사용 시작 Microsoft Fabric에서 무료로 Power BI를 체험하고 데이터 내에서 인사이트를 찾고 풍부한 분석 보고서를 공유하세요. 무료로 사용해 보기 연락 요청하기 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락 요청을 제출하세요. 요청 보내기 Power BI 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 &#169; Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: &#39;Segoe UI&#39;; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} &lt;/style> &lt;div class=&#34;ow-pro-c-container-modal proactive-chat-hidden&#34; id=&#34;proactive-chat-dialog&#34;> &lt;div class=&#34;ow-pro-c-button-container&#34;> &lt;button class=&#34;ow-pro-c-close-button c-glyph glyph-cancel&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; onclick=&#34;(window.chatInst.getProactiveChat()).toggle(false)&#34; >&lt;/button> &lt;/div> &lt;div class=&#34;ow-headinghelper-2 ow-pro-c-h-text&#34;>{{module.heading}}&lt;/div> &lt;div class=&#34;c-button f-primary ow-pro-c-p-text&#34;> {{chat-engagement.prompt}} &lt;/div> &lt;div class=&#34;ow-pro-c-image-container ow-pro-c-d-flex&#34;> &lt;img src=&#34;{{module.img-src}}&#34; alt=&#34;{{module.img-alt-txt}}&#34; class=&#34;ow-pro-c-image&#34; /> &lt;ul data-cta-count=&#34;1&#34;> &lt;li class=&#34;ow-link-wrapper&#34;> &lt;button id=&#34;chatEngagement&#34; aria-label=&#34;{{chat-engagement-aria-label}}&#34; class=&#34;c-button f-primary ow-pro-c-chat-button&#34; data-bi-cn=&#34;Chat_invite_accept&#34; data-bi-bhvr=&#34;180&#34; > &lt;span> {{chat-engagement.btn-txt}} &lt;/span> &lt;/button> &lt;/li> &lt;/ul> &lt;button id=&#34;chatDisengagement&#34; class=&#34;ow-pro-c-button-glyph-container ow-pro-c-d-flex&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; > &lt;div class=&#34;ow-pro-c-no-button&#34;>{{chat-disengagement.btn-txt}}&lt;/div> &lt;div class=&#34;ow-pro-c-no-button c-glyph glyph-cancel&#34;>&lt;/div> &lt;/button> &lt;/div> &lt;/div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:39
https://www.microsoft.com/en-au/p/surface-book-3/8XBW9G3Z71F1
Surface Book 3 13.5&#34; or 15&#34; – Microsoft Store Australia This is the Trace Id: f9d4cc4fb919e0b58dbc93bf6ae3006b Translate to English You are shopping Microsoft Store in: {0} Are you looking for Microsoft Store in: {0}? Stay in {0} Go to {0} Sign me up Thank you! Stay informed about special deals, the latest products, events and more from Microsoft Store. Email address (required) Location (required) Argentina Australia Austria Belgium Brazil Canada Chile Colombia Czech Republic Denmark Finland France Germany Hungary India Ireland Israel Italy Japan Luxembourg Mexico Netherlands New Zealand Norway Poland Portugal Singapore South Africa South Korea Spain Sweden Turkey Switzerland United Kingdom United States I would like information, tips and offers about Microsoft Store and other Microsoft products and services. Click here to read the Privacy Statement . 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Compare Surface devices Computers for Business 2-in-1 PCs 2-in-1 PCs Surface Pro for Business, Copilot+ PC, 12-inch | Snapdragon Surface Pro for Business, Copilot+ PC, 13-inch | Intel Surface Pro for Business, Copilot+ PC, 13-inch | Snapdragon Surface Pro 10 for Business Surface Go 4 for Business Laptops Laptops Surface Laptop for Business, Copilot+ PC, 13-inch | Snapdragon Surface Laptop for Business, Copilot+ PC, 13.8 and 15-inch | Intel Surface Laptop for Business, Copilot+ PC, 13.8 and 15-inch | Snapdragon Surface Laptop 6 for Business Surface Laptop Studio 2 for Business Surface Laptop Go 3 for Business Large Screens Large Screens Surface Studio 2+ for Business Surface Hub 3 Accessories Accessories All Accessories Need help deciding? Need help deciding? Compare Surface devices for Business Surface for Business Home Accessories Surface Pro accessories Surface Laptop accessories Surface Pro Keyboards All Surface accessories Shop now All Surface devices Surface deals Surface repair parts Where to buy Support More SHOP DEALS All Microsoft Global Microsoft 365 Teams Copilot Windows Surface Xbox Deals Small Business Support Software Software Windows Apps AI OneDrive Outlook Moving from Skype to Teams OneNote Microsoft Teams PCs &amp; Devices PCs &amp; Devices Shop Xbox Accessories Entertainment Entertainment Xbox Game Pass Ultimate Xbox games PC games Business Business Microsoft Security Azure Dynamics 365 Microsoft 365 for business Microsoft Industry Microsoft Power Platform Windows 365 Developer &amp; IT Developer &amp; IT Microsoft Developer Microsoft Learn Support for AI marketplace apps Microsoft Tech Community Microsoft Marketplace Visual Studio Marketplace Rewards Other Other Microsoft Rewards Free downloads &amp; security Education Gift cards View Sitemap Search Search Microsoft.com No results Cancel 0 Cart 0 items in shopping basket Sign in Free Upgrade to Windows 11 Surface Book 3 Powerhouse performance Surface Book 3 Free Upgrade to Windows 11^^&nbsp; Learn more Surface Book 3 is the most powerful Surface laptop to handle your biggest productivity demands; combining speed, graphics, performance & versatility to be ... a laptop, tablet and portable studio. More Bundle and save with the Surface Book 3 Essentials Bundle Includes your choice of Surface Book 3, Microsoft 365 and discounted accessories. Build your bundle Out of stock Build your device Free standard delivery. Free returns. Buying for your business? Go to Surface Book 3 for Business Overview Tech specs Previous Next 10th Gen Intel® Core™ i5/i7 Processor Up to 32 GB  RAM Up to 1660 Ti  NVIDIA® GeForce® Graphics 13.5” or 15” PixelSense™ Display touchscreen View all tech specs Built for performance Create, work and play on the most powerful Surface laptop. Tackle intensive tasks, edit large video files, and enjoy the best graphics and gaming experience on any Surface laptop. Slide %{start} of %{total}. %{slideTitle} Skip Features of Surface Book 3. "Previous slide" "Next slide" Meet the laptop that can handle your biggest demands The most powerful Surface laptop delivers on your creativity with quad-core powered, 10th Gen Intel® Core™ processors. Unleash your biggest ideas With the best graphics on any Surface laptop, powered by the latest NVIDIA® GTX GeForce® GPU with up to 1TB of lightning-fast storage 3  and up to 32GB RAM. Longest battery life of any Surface Get up to 17.5 hours 1  battery life and get back to work when you’re ready with improved standby that extends battery life when you’re away. Show them what you’re made of with the most immersive gaming on Surface Pair your Xbox Wireless Controller 4  to enjoy the latest titles like Microsoft Flight Simulator on  Xbox Game Pass  for PC.* End of Features of Surface Book 3. section Adobe Photoshop Microsoft Visual Studio Adobe Premiere Microsoft Xbox Previous Next Back to tabs Ready when you are Get productive with a robust laptop, sketch and write with a portable studio at the perfect angle, and detach the touchscreen to share your ideas on a powerful tablet. Open, detach, flip When inspiration strikes, Surface Book 3 makes it easy to get it all done with a robust laptop, portable studio and powerful tablet in one. When inspiration strikes, Surface Book 3 makes it easy to get it all done with a robust laptop, portable studio and powerful tablet in one. Tap into your full creative power Draw, write and sketch with precision, using Surface Pen* with high-end graphics software, at the perfect angle for you. Draw, write and sketch with precision, using Surface Pen* with high-end graphics software, at the perfect angle for you. Cameras that take your cue Surface 1080p HD video cameras orient your face from whatever angle you take your virtual meetings, bringing superior video quality with low-light performance, brightness and skin-tone accuracy. Surface 1080p HD video cameras orient your face from whatever angle you take your virtual meetings, bringing superior video quality with low-light performance, brightness and skin-tone accuracy. Experience multidimensional sound Experience films, music and virtual meetings with astonishing detail, richness and depth with Dolby Atmos® sound. Experience films, music and virtual meetings with astonishing detail, richness and depth with Dolby Atmos® sound. Powered by the best of Microsoft Stay productive with the Windows you know and the Microsoft 365 you rely on every day.* Slide %{start} of %{total}. %{slideTitle} Skip Microsoft software and Surface Book 3. "Previous slide" "Next slide" Do your best work wherever you are Home office, kitchen table or living room sofa, Surface Book 3 makes it easy to connect and collaborate remotely with built-in 1080p HD video cameras, dual Studio Mics, immersive Dolby Atmos® sound and fast, secured sign-in. Capture your creations in detail A vibrant, PixelSense™ touchscreen display that combines Surface Pen* and touch. Available in two sizes: 13.5” with 3000 x 2000 (267 PPI) resolution; or 15” with 3240 x 2160, (260 PPI) resolution. 7 Get a creative boost from Microsoft 365* Write like a pro with editing and writing suggestions in Word. Become a data analyst with insights in Excel. And unleash your inner designer with layout and colour options in PowerPoint. 2 With Windows 10 Home⁵ Familiar features and trusted security, including Windows Hello password-free sign-in. If you need additional enterprise management and security tools for the workplace, you can switch to Windows 10 Pro or purchase Surface Book 3 for Business . 5 End of Microsoft software and Surface Book 3. section Popular configurations Look to Surface Book 3 to handle your biggest demands and cross-platform apps like Dassault SOLIDWORKS®, Microsoft Visual Studio, Unity, Adobe Premiere Pro® and Adobe Photoshop®.* See all configurations Creators and Designers Bring your biggest ideas to life with 15” Surface Book 3 i7/32GB/512GB to fuel Adobe Creative Cloud®, CAD software and more.* Add to cart Developers Compile, run and debug anywhere with the portable 15” Surface Book 3 i7/16GB/256GB to power Microsoft Visual Studio and Unity.* Add to cart Social Creators Shoot videos, record podcasts and post to your followers with a balance of performance and portability on the 13.5” Surface Book 3 i5/8GB/256GB. Add to cart Let us help you find your perfect Surface Just answer a few simple questions about what you're looking for and we'll help you choose. Or compare tech specs of each computer and find the Surface built to unlock your originality. Help me choose Compare Surface Extraordinary accessories for your new Surface Personalize Surface Book 3 and make it yours with next-gen tools and accessories. Shop Surface Accessories Get expert guidance on Surface Our Promise for Surface Get the most from your new Surface with free shipping, 60-day returns, flexible financing, and remote learning options. Learn more Product expert appointments Our Microsoft Store associates can help you choose and order any product we carry. And if you need personalized setup assistance or product training, our team is here for that too. Learn about online appointments Talk with an expert in real time On your desktop browser, click the “Questions? Talk to an expert” box in the lower right corner of this page to chat with us about any Surface device. Surface powers your everyday Surface for business Shop Surface for business Accessories Shop Surface accessories Surface Support Register your device Get the Surface newsletter Power cord recall Why shop at Microsoft Store From free shipping and returns to expert support, we’re here to help you do more with best-in-class devices, software,&nbsp;games and resources. Learn more Fast, free delivery Enjoy hassle-free online shopping with free next day delivery for Sydney and Melbourne metro areas. Learn more 60-day return policy Try out a Surface for 60 days. If you're not satisfied for any reason, return it in like-new condition in its original packaging.^ Learn more about returns 60-day low price promise If you buy a Surface from us and our price drops within 60 days of your purchase, we'll refund the difference.** Contact us for a price adjustment 90 days free support Having issues? We’re here to help. Every Surface comes with free technical phone assistance for the first 90 days after purchase. Contact us ^^ Upgrade timing may vary by device. Certain features require specific hardware (see  Windows 11 Specifications ). *Some accessories and software sold separately. [1] Battery life Surface Book 3 13.5” on base: Up to 15.5 hours of battery life based on typical Surface device usage. Testing conducted by Microsoft in April 2020 using preproduction software and preproduction configurations of Surface Book 3 13.5” Intel® Core™ i5, 256 GB, 8 GB RAM. Testing consisted of full battery discharge with a mixture of active use and modern standby. The active use portion consists of (1) a web browsing test accessing 8 popular websites over multiple open tabs, (2) a productivity test utilising Microsoft Word, PowerPoint, Excel and Outlook, and (3) a portion of time with the device in use with idle applications. All settings were default except screen brightness was set to 150 nits with Auto-Brightness disabled. Wi-Fi was connected to a network. Battery life varies significantly with settings, usage and other factors. Surface Book 3 15” on base: Up to 17.5 hours of battery life based on typical Surface device usage. Testing conducted by Microsoft in April 2020 using preproduction software and preproduction configurations of Surface Book 3 15” Intel® Core™ i7, 256 GB, 16 GB RAM. Testing consisted of full battery discharge with a mixture of active use and modern standby. The active use portion consists of (1) a web browsing test accessing 8 popular websites over multiple open tabs, (2) a productivity test utilizing Microsoft Word, PowerPoint, Excel and Outlook, and (3) a portion of time with the device in use with idle applications. All settings were default except screen brightness was set to 150 nits with Auto-Brightness disabled. Wi-Fi was connected to a network. Battery life varies significantly with settings, usage and other factors. [2] Subscription required (sold separately). [3] System software uses significant storage space. Available storage is subject to change based on system software updates and apps usage. 1 GB &#61; 1 Gigabyte. 1 TB &#61; 1,000 GB. See  Surface Storage  for more details. [4] Xbox Wireless controller support available in selected global markets. [5] Surface Book 3 for consumers comes with Windows 10 Home to bring you the powerful Windows features you use most at exceptional value. If you need additional enterprise management and security tools for the workplace, you can switch to Windows 10 Pro or purchase  Surface Book 3 for Business . [7] Devices, colors, size and SKUs may vary – check your local retailer for availability. ^ Extended return offer period available with Surface devices purchased from Microsoft Store in Australia. Return process must be started within 60 days after customer received the device. Not available for purchases by reseller customers. Extended return offer period limited to 5 device returns total per eligible customer. Excludes Surface Hub. Void where prohibited or restricted by law. Microsoft reserves the right to modify or discontinue offers at any time. Other exclusions and limits may apply. Microsoft Store return policy applies to extended returns. See applicable  Microsoft Terms of Sale  for more information. ** Offer valid on purchases of Surface devices made at Microsoft Store in Australia within 60 days from purchase (“Offer Period”). Excludes Surface Hub. Offer not valid on purchases made at third party retailers. Customer is eligible for price adjustment only if 1) Customer purchases a Surface device during the Offer Period, (2) the price of that Surface is reduced during the Offer Period, and 3) Customer requests a price adjustment while the Surface price is reduced and in-stock for purchase. Customer must contact Microsoft Store Sales and Support to request price adjustment with order number and any other information requested by the Microsoft Store Sales representative. Credit will be provided to Customer in same method of payment (credit card use will be credited to original card). Offer limited to 5 devices per eligible customer in total during the Offer Period and a maximum of one price adjustment per device. Void where prohibited or restricted by law. Microsoft reserves the right to modify or discontinue offers at any time. Other exclusions and limitations may apply. Features and app availability may vary by region. 13.5” or 15” touchscreen Write, draw and navigate on screen with Surface Pen.*  Create stunning designs, video content and&nbsp;presentations Detaches to become a powerful, stand-alone&nbsp;tablet 15” delivers the best gaming on&nbsp;Surface Next-gen performance Choice of discrete graphics cards — including NVIDIA® GeForce® GTX 1660 Ti Create and code with 10th Gen Intel® Core® processors, up to 32GB RAM and pro-grade SSD Blazing transfer speeds, smooth multitasking across multiple tabs and your most demanding apps Work your way anywhere Robust laptop, powerful tablet and portable studio in one Pro-grade performance, always by your side — starting at just 1,534 grams (3.38 pounds) All the connections USB-C TM and USB-A ports, plus full-size SD card slot Connect to displays, docking stations, and more — including dual 4K 60Hz&nbsp;monitors Charge your phone and&nbsp;accessories Tech specs Scenarios Next-gen, pro-grade performance for graphic design, app development, video and social content creation, and the best, most immersive gaming on a Surface laptop Dimensions Surface Book 3 13.5” Intel® Core™ i5: 312 mm x 232 mm x 13 mm-23 mm (12.3” x 9.14” x 0.51”-0.90”) Intel® Core™ i7: 312 mm x 232 mm x 15 mm-23 mm (12.3” x 9.14” x 0.59”-0.90”) Surface Book 3 15” 343 mm x 251 mm x 15 mm-23 mm (13.5” x 9.87” x 0.568-0.90”) Display Surface Book 3 13.5” PixelSense™ Display Screen: 13.5” PixelSense™ Display Resolution: 3000 x 2000 (267 PPI) Aspect ratio: 3:2 Contrast ratio: 1600:1 Touch: 10 point multi-touch G5 Surface Book 3 15” PixelSense™ Display Screen: 15” PixelSense™ Display Resolution: 3240 x 2160, (260 PPI) 10 point multi-touch G5 Aspect ratio: 3:2 Contrast ratio: 1600:1 Memory Surface Book 3 13.5” 8GB, 16GB, or 32GB 3733Mhz LPDDR4x   Surface Book 3 15” 16GB or 32GB 3733Mhz LPDDR4x Processor Surface Book 3 13.5” Quad-core 10th Gen Intel® Core™ i5-1035G7 Processor Quad-core 10th Gen Intel® Core™ i7-1065G7 Processor   Surface Book 3 15” Quad-core 10th Gen Intel® Core™ i7-1065G7 Processor Battery life 1 Surface Book 3 13.5&#34;  connected to keyboard base: Up to 15.5 hours of typical device usage   Surface Book 3 15&#34;  connected to keyboard base: Up to 17.5 hours of typical device usage Graphics Surface Book 3 13.5” Intel® Core™ i5-1035G7 models: Intel® Iris™ Plus Graphics Intel® Core™ i7-1065G7 models: NVIDIA GeForce GTX 1650 with Max-Q Design w/4GB GDDR5 graphics memory   Surface Book 3 15” Intel® Core™ i7-1065G7 models: NVIDIA GeForce GTX 1660 Ti with Max-Q Design w/6GB GDDR6 graphics memory Storage 2 Surface Book 3 13.5” Solid-state drive (SSD) options: 256GB, 512GB, or 1TB PCIe SSD   Surface Book 3 15” Solid-state drive (SSD) options: 256GB, 512GB, or 1TB PCIe SSD Connections 2 x USB-A (version 3.1 Gen 2) 1 x USB-C® (version 3.1 Gen 2 with USB Power Delivery revision 3.0) 3.5mm headphone jack 2 x Surface Connect ports (one on base, one on tablet) Full-size SDXC card reader Compatible with Surface Dial off-screen interaction* Cameras, video and audio Windows Hello face authentication camera (front-facing) 5.0 MP front-facing camera with 1080p HD video 8.0 MP rear-facing auto-focus camera with 1080p HD video Dual far-field Studio Mics Front-facing stereo speakers with Dolby Atmos® Software Windows 10 Home 5 Microsoft 365 Family one month trial Wireless Wi-Fi 6: 802.11ax compatible Bluetooth Wireless 5.0 technology Xbox Wireless built-in (15” only) 3 Sensors Ambient light sensor Proximity sensor Accelerometer Gyroscope Magnetometer Exterior Casing: Magnesium Color: Platinum Physical buttons: Volume, Power What’s in the box Surface Book 3 13.5” Intel® Core™ i5: 65W Surface Power Supply w/USB-A (5W) charging port Intel® Core™ i7: 102W Surface Power Supply w/USB-A (7W) charging port Quick Start Guide Safety and warranty documents   Surface Book 3 15” Intel® Core™ i7: 127W Surface Power Supply w/USB-A (7W) charging port Quick Start Guide Safety and warranty documents Warranty 4 1-year limited hardware warranty Weight Surface Book 3 13.5” Intel® Core™ i5: 1,534 g (3.38 lb) including keyboard Intel® Core™ i7: 1,642 g (3.62 lb) including keyboard   Surface Book 3 15” Intel® Core™ i7: 1,905 g (4.20 lb) including keyboard Security TPM 2.0 chip for enterprise security Enterprise-grade protection with Windows Hello face sign-in Let us help you find your perfect Surface In less than 2 minutes, answer a few questions and we’ll help you choose. Or, compare tech specs of each computer to see how they go beyond the ordinary. Help me choose Compare Surface Extraordinary accessories for your new Surface Personalize Surface Book 3 and make it yours with next-gen tools and accessories. Shop Surface Accessories Get expert guidance on Surface Our Promise for Surface Get the most from your new Surface with free shipping, 60-day returns, flexible financing, and remote learning options. Learn more Watch and learn with our latest videos Whether you want to learn about Surface devices or how to share files on OneDrive, our growing video library offers quick product tours and tutorials hosted by Microsoft Store associates. Browse and watch videos Personal online shopping appointments Our Microsoft Store associates can help you with free expert product recommendations, from Surface, Microsoft 365, and all things gaming. Book an appointment Talk with an expert in real time On your desktop browser, click the “Questions? Talk to an expert” box in the lower right corner of this page to chat with us about any Surface device. Surface powers your everyday Surface for business Shop Surface for business Accessories Shop Surface accessories Surface Support Register your device Get the Surface Newsletter Power cord recall Why shop at Microsoft Store From free shipping and returns to expert support, we’re here to help you do more with best-in-class devices, software, games and resources. Learn more Fast, free delivery Enjoy hassle-free online shopping with free next day delivery for Sydney and Melbourne metro areas. Learn more 60-day return policy Try out a Surface for 60 days. If you're not satisfied for any reason, return it in like-new condition in its original packaging.^ Learn more about returns 60-day low price promise If you buy a Surface from us and our price drops within 60 days of your purchase, we'll refund the difference.** Contact us for a price adjustment 90 days free support Having issues? We’re here to help. Every Surface comes with free technical phone assistance for the first 90 days after purchase. Contact us * Some accessories and software sold separately. [1] Battery life  Surface Book 3  13.5” on base: Up to 15.5 hours of battery life based on typical Surface device usage. Testing conducted by Microsoft in April 2020 using preproduction software and preproduction configurations of Surface Book 3 13.5” Intel® Core™ i5, 256 GB, 8 GB RAM. Testing consisted of full battery discharge with a mixture of active use and modern standby. The active use portion consists of (1) a web browsing test accessing 8 popular websites over multiple open tabs, (2) a productivity test utilising Microsoft Word, PowerPoint, Excel and Outlook, and (3) a portion of time with the device in use with idle applications. All settings were default except screen brightness was set to 150 nits with Auto-Brightness disabled. Wi-Fi was connected to a network. Battery life varies significantly with settings, usage and other factors. Surface Book 3  15” on base: Up to 17.5 hours of battery life based on typical Surface device usage. Testing conducted by Microsoft in April 2020 using preproduction software and preproduction configurations of Surface Book 3 15” Intel® Core™ i7, 256 GB, 16 GB RAM. Testing consisted of full battery discharge with a mixture of active use and modern standby. The active use portion consists of (1) a web browsing test accessing 8 popular websites over multiple open tabs, (2) a productivity test utilising Microsoft Word, PowerPoint, Excel and Outlook, and (3) a portion of time with the device in use with idle applications. All settings were default except screen brightness was set to 150 nits with Auto-Brightness disabled. Wi-Fi was connected to a network. Battery life varies significantly with settings, usage and other factors. [2] System software uses significant storage space. Available storage is subject to change based on system software updates and apps usage. 1 GB &#61; 1 Gigabyte. 1 TB &#61; 1,000 GB. See  Surface Storage  for more details. [3] Xbox Wireless controller support available in selected global markets. [4] Microsoft’s Limited Warranty is in addition to your consumer law rights. [5] Surface Book 3  for consumers comes with Windows 10 Home to bring you the powerful Windows features you use most at exceptional value. If you need additional enterprise management and security tools for the workplace, you can switch to Windows 10 Pro or purchase  Surface Book 3 for Business . ^ Extended return offer period available with Surface devices purchased from Microsoft Store in Australia. Return process must be started within 60 days after customer received the device. Not available for purchases by reseller customers. Extended return offer period limited to 5 device returns total per eligible customer. Excludes Surface Hub. Void where prohibited or restricted by law. Microsoft reserves the right to modify or discontinue offers at any time. Other exclusions and limits may apply. Microsoft Store return policy applies to extended returns. See applicable  Microsoft Terms of Sale  for more information. ** Offer valid on purchases of Surface devices made at Microsoft Store in Australia within 60 days from purchase (“Offer Period”). Excludes Surface Hub. Offer not valid on purchases made at third party retailers. Customer is eligible for price adjustment only if 1) Customer purchases a Surface device during the Offer Period, (2) the price of that Surface is reduced during the Offer Period, and 3) Customer requests a price adjustment while the Surface price is reduced and in-stock for purchase. Customer must contact Microsoft Store Sales and Support to request price adjustment with order number and any other information requested by the Microsoft Store Sales representative. Credit will be provided to Customer in same method of payment (credit card use will be credited to original card). Offer limited to 5 devices per eligible customer in total during the Offer Period and a maximum of one price adjustment per device. Void where prohibited or restricted by law. Microsoft reserves the right to modify or discontinue offers at any time. Other exclusions and limitations may apply. Features and app availability may vary by region. 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2026-01-13T09:29:39
https://www.digitalcameraworld.com/buying-guides/best-digital-photo-frames#section-best-budget-photo-frame
The best digital photo frames | Digital Camera World Skip to main content Open menu Close main menu Digital Camera World THE HOME OF DIGITAL PHOTOGRAPHY US Edition US Canada UK Australia Subscribe Sign in View Profile Sign out Search Search Digital Camera World Cameras Accessories Tech How To Reviews Buying Guides Magazines Bokeh Face Podcast The Photography &amp; Video Show Digital Camera Australian Camera Australian ProPhoto About Us Photography Magazines Why subscribe? Issues filled with product reviews, latest updates, expert advice and more Delivered to your Android or IOS device Every issue is packed with photo tips, kit reviews and inspiration From $12 Subscribe now Jump to: The Quick List Best premium Best large Best high-res Best widescreen Best smart Best wall-hanging Best Wi-Fi Best budget Best statement How to choose How we test Don't miss these Phones The best camera phone: what's the best smartphone for photography? 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Here&rsquo;s how it works . (Image credit: Hannah Rooke/Digital Camera World) Jump to: The Quick List Best premium Best large Best high-res Best widescreen Best smart Best wall-hanging Best Wi-Fi Best budget Best statement How to choose How we test Share Share by: Copy link Facebook X Whatsapp Pinterest Flipboard Share this article Join the conversation Follow us Add us as a preferred source on Google The best digital photo frames offer a great way to showcase your favorite photos. Instead of being limited to a single printed image, you can upload a selection of shots and enjoy them in rotation. A major advantage over traditional frames is the ability to instantly display new images &ndash; no more waiting for prints, and no need to buy a new frame for each update. Whether you're displaying pictures of family and friends, vacation memories, wedding photos, or even short videos, there's a digital frame that suits your needs. Today&rsquo;s top digital frames are incredibly user-friendly. Unlike older models that require USB sticks or SD cards, all the frames in this guide are Wi-Fi-enabled and some store images in the cloud, allowing you to manage your gallery through a smartphone app. They variously use a touchscreen, touchbars, or a remote control to make navigation easy. So, how do you choose the best digital photo frame? There are numerous styles to pick from, but you&rsquo;ll also want to consider factors like screen size, storage capacity, and support for video and sound. If it&rsquo;s a gift, think about the recipient too &ndash; some frames can even be preloaded with images without opening up their box. Adam Waring Social Links Navigation Guides Editor Adam is the Guides Editor at Digital Camera World and has been working as a photography journalist for the past 15 years. He's long advocated that photographs need to be proudly displayed rather than hidden on hard drives and loves how easy digital photo frames make it to show off your best shots. The Quick List Best premium frame 1. Aura Aspen View at Target View at Amazon View at Nordstrom View at Best Buy With a super-sharp screen that shows your photos at their best and easy ways to add photos, this is a digital frame with class. Read more below&hellip; Best large frame 2. Aura Walden View at Amazon View at Amazon View at Nordstrom View at Best Buy Most digital photo frames are about 10 inches on the diagonal, but this one goes 50 per cent bigger, really showcasing your images on a big screen. Read more below&hellip; Best high-res frame 3. Pexar 11in View at Amazon View at Amazon View at Amazon View at Amazon Its 11in screen packs in a super-hi-res 2K display that shows the entire 100% Adobe sRGB color gamut, so your images really shine. Read more below&hellip; Best widescreen 4. Pexar Starlight View at Amazon View at Amazon If the 15.6-inch 16:9 ratio widescreen display wasn't statement enough, its 'Gallery Lighting' feature makes your photos really stand out with a golden glow. Read more below&hellip; Best for smart homes 5. Google Nest Hub View at Target View at Target Check Amazon Not only is this a capable (if small) photo frame, it also streams music and video, has an AI assistant, and sits in the center of your smart home. Read more below&hellip; Best wall-hanging 6. Aura Ink View at Aura Home Check Amazon With a built-in battery that lasts months and a natural-looking display that doesn't look like a screen, this wire-free frame is ideal for hanging on a wall. Read more below&hellip; View the full list &#10549; Best Wi-Fi frame 7. Aura Carver View at Amazon View at Amazon View at Camp Snap View at Camp Snap Adding photos via a smartphone app is the only method this frame offers, but the build and image quality are first-rate. Read more below&hellip; Best budget frame 8. Aeezo Portrait View at Amazon View at Amazon For a very affordable price, this frame shows off your images nicely and has loads of storage for adding more photos. Read more below&hellip; Best statement frame 9. Pix-Star Lux 17-inch View at Amazon With an enormous 17-inch display and elaborate molded bezel, this is one photo frame that demands attention. Read more below&hellip; Best digital photo frames Why you can trust Digital Camera World Our expert reviewers spend hours testing and comparing products and services so you can choose the best for you. Find out how we test. Best premium photo frame (Image credit: Future) 1. Aura Aspen A top-quality digital photo frame that makes a great gift Our expert review: Specifications Resolution: 1600 x 1200 (170ppi) Display: 11.8-inch Orientation: Landscape and portrait Dimensions: 12.7 x 10.1 x 1.1in Touch screen: No, but has touch bars Wi-Fi: Yes Remote: No Built-in storage: No Motion sensor: Yes Video: Yes USB/SD slots: No/No Cloud services: Instagram, Google Photos, Aura App Today's Best Deals View at Target View at Amazon View at Nordstrom View at Best Buy Reasons to buy + High-density 1600 x 1200, 170ppi, 12in display + Swipe bars avoid finger smudges + Unlimited photo (and video) storage Reasons to avoid - Pricier than many competitors - If your Wi-Fi goes down, so does the frame - No wall-hanging option Buy it if &#9989; You want a crisp, clear display: the stunning 12-inch, high-resolution display auto dims to show images at their best &#9989; You have a huge number of images: images are stored on Aura's servers rather than the frame itself, offering ulmited storage Don't Buy it if &#10060; You want built-in storage: this only connects to could-services and via its own app to display images &#10060; You want to hang it: the slim design tapers towards the frame edges, and as a result there's no wall-hanging option The Aura Aspen digital photo frame stands out from the crowd, offering several premium features at a competitive price point. Top of the list is its stunning 12-inch, 1600 x 1200 resolution display, which provides a crisp and vibrant viewing experience. Its minimalist design, available in Ink or Clay (black or gray), is enhanced by hidden Touch Bars for navigation, which helps to maintain a clean look by preventing fingerprints on the screen. It offers unlimited photo and video storage by backing up content to Aura's servers rather than storing it on the frame itself. This feature requires a constant Wi-Fi connection, but the benefit is the ability to display a vast number of photos without being limited by internal storage. The companion Aura app also makes it simple to crop and rotate images, share access with friends and family, and even pre-load photos for gifting. An auto-dimming light sensor that adjusts screen brightness to ambient light, and there's a built-in speaker for video playback. The only real drawback is the lack of a wall-mounting option, if that's your preference. Read more: Aura Aspen review Swipe to scroll horizontally Quality It looks like a real photo frame, with smart minimalist bezels and a textured 'card' inset 5 / 5 Features Auto dimming matches the ambient lighting and the hi-res display show of photos crisply, and managing images with the Aura app is easy 5 / 5 Value It's an upmarket frame and more expensive than some, but it's worth it 4 / 5 Today's best Aura Aspen deals $229 View $229 View $229.99 View Show more We check over 250 million products every day for the best prices Back to the top &#10548; Best large photo frame (Image credit: Future) 2. Aura Walden A real showstopper that's packed with features but comes at a price Our expert review: Specifications Resolution: 1600 x 1200 Display: 15 inches Orientation: Landscape and portrait Touchscreen: No, but has touch bars in bezel Wi-Fi: Yes Remote: No Built-in storage: None Card slots: None Cloud services: Aura Video: Yes Dimensions: &lrm;8.1 x 36.8 x 2.5cm Today's Best Deals View at Amazon View at Amazon View at Nordstrom View at Best Buy Reasons to buy + Stylish design suits modern decor + Can be preloaded with images for gifting + Images can be easily shared via app or uploaded from computers Reasons to avoid - No internal storage means no images if Wi-Fi goes down - 4:3 aspect ratio suits phones but not 'serious' cameras - One of the pricier frames around Buy it if &#9989; You want a big screen: this large, stylish frame shows off images at their very best &#9989; You want to gift it: it can be preloaded with pictures, and it's easy for additional users to share photos too Don't buy it if &#10060; You're a pixel-peeper: many other frames comfortably exceed the Walden's 133ppi density &#10060; You're strapped for cash: it's undeniably expensive and there are cheaper options out there When it comes to displaying photographs, bigger is almost always better, and the Aura Walden is a big frame that is big on features. The oversized 15-inch display shows off photographs in stunning detail and sits within a well-proportioned surround that is textured to look like a genuine photo frame and should look good in any home. Features such as auto-diming enable the display to suit the ambient lighting so that images are clear to see but not overly bright. The swipe bars are another nice touch, offering the ease of use of a touchscreen to navigate through images without getting greasy fingermarks over your photographs. It's super-easy to upload images from multiple users' phones, thanks to the companion Aura app, and the ability to preload photos for gifting is fantastically implemented. The pixel density perhaps could be a little higher, but a big frame demands admiring pictures from afar. It's undeniably expensive, but it's a luxurious frame and one of the best that money can buy. Read our full Aura Walden review Swipe to scroll horizontally Quality It's an elegant, classically styled frame the suits modern decor 5 / 5 Features 15in display is beautiful to behold; swipe bars save the screen from grubby fingerprints; easy to upload images 5 / 5 Value A big display comes with a big price tag, but it's still good value 4 / 5 Today's best Aura Walden 15 Inch Digital Photo Frame deals $299 View $299 View $299.99 View Show more We check over 250 million products every day for the best prices Back to the top &#10548; Best high-resolution photo frame (Image credit: Future) 3. Lexar Pexar 11in Beautiful hi-res screen and 100% sRGB color gamut should do even the finest of fine art photos justice Our expert review: Specifications Resolution: 2000 x 1200 Display: 11in Orientation: Landscape and portrait Dimensions: &lrm;18.9 x 28.4 x 2.5cm Wi-Fi: Yes Remote: No Built-in storage: 32GB Video: Yes USB/SD slots: Yes/Yes Cloud services: Frameo Today's Best Deals View at Amazon View at Amazon View at Amazon View at Amazon Reasons to buy + Crisp, clear, 2K 100% sRGB display + Huge 32GB storage holds 40,000 pics + Easy to share images with multiple users Reasons to avoid - App limits number of images and length of videos without subscription - Uploading from a computer is a faff - 5:3 aspect ratio not native to phones or cameras Buy it if &#9989; You want a hi-res display: packs 2.4MP into its 11-inch screen for super-crisp detail with 100% Adobe sRGB color gamut &#9989; You want easy sharing: ideal if you have a big extended family or trustworthy friends and need plenty of storage for images Don't buy it if &#10060; You want to use a computer: while it's easy to upload images from a phone, it's much more of a faff from a Mac or PC &#10060; Money is tight: there are cheaper alternatives though they're not nearly as nice There's a lot to like about the Lexar Pexar 11in digital photo frame. Perhaps the most important aspect of such a device is the quality of its screen, and this is an absolute cracker; packing 2.4 megapixels into 11 inches of real estate displays your images in beautifully crisp detail, while the full 100% sRGB color gamut ensures they are wonderfully vibrant too. The 32GB storage should be enough for pretty much everyone and is oodles more than most other frames on the market, ensuring enough storage space for even the most trigger-happy photographer. But if that's still not enough, then SD card and USB-A and USB-C slots enable up to 1TB of storage. The frame is Wi-Fi enabled, and it's a breeze for family members to share their shots via the Frameo app, no matter where they are in the world. There's no provision to upload files from a computer wirelessly though &ndash; you'll have to do it the old-fashioned way using a USB memory drive. It's very well priced considering its feature set. Be aware that there's a choice of two models, the other having a marginally smaller 10.1-inch screen but at a much lower-res 1.02 megapixels. The price difference is minimal though, and I'd go for the 11-inch version every day of the week. Read our full Lexar Pexar 11in photo frame review Swipe to scroll horizontally Quality It's a nice-looking frame if minimalism is your thing 4 / 5 Features Great 2K display, 100% sRGB color gamut and ginormous 32GB of storage 5 / 5 Value A well-specced frame for the price, but keep an eye for discounted deals 5 / 5 Today's best pexar deals $169.99 $139.99 View $199.99 $139.99 View $179.99 View Show more We check over 250 million products every day for the best prices Back to the top &#10548; Best widescreen photo frame (Image credit: Future) 4. Lexar Starlight 15.6in This widescreen frame's rear backlight really makes images shine Our expert review: Specifications Resolution: 1920 x 1080 Display: 15.6in touchscreen Orientation: Landscape and portrait Dimensions: 18 x 26 x 2.5cm (7.1 x 10.2 x 1in) Wi-Fi: Yes Remote: No Built-in storage: 64GB Video: Yes USB/SD slots: Yes/Yes Cloud services: Frameo Today's Best Deals View at Amazon View at Amazon Reasons to buy + Eye-catching backlit Gallery Lighting feature + Massive 64GB memory holds 80,000+ photos + Large 15.6in widescreen display Reasons to avoid - 16:9 aspect ratio crops both phone and camera images - On the pricey side Buy it if &#9989; You want to show off shots in style: the Gallery Lighting features lifts the entire frame from its surroundings, and the 15.6in display is eye-catching &#9989; You have a lot of photos: a supremely generous 64GB memory is enough to store in excess of 80,000 images Don't buy it if &#10060; You don't want to crop: while the 16:9 ratio sets this apart, it's not native to phones or mirrorless cameras &#10060; You're on a tight budget: it's one of the more expensive frames on the market The Pexar Starlight 15.6in digital photo frame distinguishes itself from the rest with a large widescreen display and a unique ambient backlight. The 15.6-inch anti-glare touchscreen has a 1920 x 1080 resolution with a 16:9 aspect ratio, displaying photographs with good clarity and brightness. Its standout Gallery Lighting feature casts a warm golden glow on the wall behind the frame, creating a sophisticated, floating effect. The frame itself has a wood-effect finish, offering a refreshing departure from standard black plastic bezels. A sturdy metal stand supports both portrait and landscape orientations, with auto-rotation functionality. It can also be hung on a wall with the supplied kit. Powered by the popular Frameo app, setup and photo sharing are easy-peasy. Images can be transferred to its massive 64GB of internal storage via Wi-Fi, SD card, or USB, and with space for approximately 80,000 photos, that's more than enough for anyone. However, the 16:9 aspect ratio means standard 4:3 photos from smartphones will be cropped. The Pexar Starlight is an upmarket choice for those who value aesthetics. Its large size and ambient lighting make it a centerpiece in any room. However, there's a premium price to be paid for its unique design elements. Read our full Pexar Starlight 15.6in digital photo frame review Swipe to scroll horizontally Quality The wood-effect surround is refreshing, and the touchscreen works well 4 / 5 Features It's a big display with enough storage for 80,000 photos, and the glowing surround is stunning 5 / 5 Value One of the more expensive digital photo frames, but you are paying for lovely quality 4 / 5 Today's best Pexar Starlight 15.6-inch deals $349.99 $299.99 View $349.99 $299.99 View We check over 250 million products every day for the best prices Back to the top &#10548; Best photo frame for smart homes (Image credit: Future) 5. Google Nest Hub <span class
2026-01-13T09:29:39
https://chromewebstore.google.com/detail/category/top-charts/detail/askbelynda-sustainable-sh/category/extensions/productivity/detail/pebble-digital-carbon-emi/oeamjgnkoelgkegbphiminanlbegaaga
Chrome Web Store Skip to main content Chrome Web Store My extensions &amp; themes Developer Dashboard Give feedback Sign in Discover Extensions Themes Welcome to Chrome Web Store Welcome to the Chrome Web Store Supercharge your browser with extensions and themes for Chrome See collection Favorites of 2025 Discover the standout AI extensions that made our year See collection Every day is Earth Day Plant trees, shop sustainably, and more See collection Adobe Photoshop Easily remove backgrounds, adjust colors and more. Plus, get 6 months free access to Photoshop web. 3.7 600K Users See details The future of writing Elevate your writing and create engaging and high-quality content effortlessly See collection 1 / 5 Top categories Shopping Entertainment Tools Art &amp; Design Accessibility Top charts Trending Kami for Google Chrome™ Education 4.6 Average rating 4.6 out of 5 stars. Learn more about results and reviews. BetterCampus (prev. 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2026-01-13T09:29:39
https://creativecommons.org/2017/02/07/new-cc-search/
Announcing the new CC Search, now in Beta - Creative Commons Skip to content Creative Commons Menu Who We Are What We Do Licenses and Tools Blog Support Us English --> Search Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. --> Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Global Summit Attend our annual event, promoting the power of open licensing Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Open Source Help us build products that maximize creativity and innovation Help us protect the commons. Make a tax deductible gift to fund our work. Donate today! Announcing the new CC Search, now in Beta by Ryan Merkley lead in paragraph --> About CC , Technology --> Creative Commons’ goal is a vibrant, usable Commons powered by collaboration and gratitude. That work has taken us beyond the licenses to explore new tools for discovery, reuse and collaboration. We’re releasing CC Search today and inviting users to try out the beta, including our list-making features, and simple, one-click attribution to make it easier to credit the source of any image you discover. One of the primary ways that our users find Creative Commons content is through our search page, which provides references to various repositories. The current CC search tool is accessed by nearly 600,000 people every month — but we can do better. There is no “front door” to the commons, and the tools people need to curate, share, and remix works aren’t yet available. We want to make the commons more usable, and this is our next step in that direction. Our goal is to cover the whole commons, but we wanted to develop something people could test and react to that would be useful at launch. To build our beta, we settled on a goal to represent one percent of the known Commons, or about 10 million works, and we chose a vertical slice of images only, to fully explore a purpose-built interface that represented one type but many providers. For more details on our research and development process, you can read our developer’s notes and reflections over on Medium. After a detailed review of potential sources, the available APIs, and the quality of their datasets, we selected the Rijksmuseum, Flickr, 500px, the New York Public Library as our initial sources. Later, after discussions with the Metropolitan Museum of Art regarding their collection of public domain works, which were released under CC0 on February 7, 2017, we incorporated their 200,000 CC0 images as well. The new CC Search harnesses the power of open repositories, allowing users to search across a variety of open content through a single interface. The prototype of this tool focuses on photos as its first media and uses open APIs in order to index the available works. The search filters allow users to search by license type, title, creator, tags, collection, and type of institution. CC Search Beta also provides social features, allowing users to create and share lists as well as add tags and favorites to the objects in the commons, and save their searches. Finally, it incorporates one-click attribution, giving users pre-formatted copy for easy attribution. This is not our final product. It’s a beta, developed and released as early as possible in our development process to elicit discussion and conversation about the tool for its continued improvement. We’re in active development, and your comments and feedback will shape our work going forward as we add repositories, new media types, and new features. This is a significant moment for CC, as we’ve always wanted to be able to do more to help people find and use the commons and make connections with each other as they create new things. We think CC Search is a good first step, and we welcome feedback on the tool via form , social ( Twitter , Facebook ,) Slack , or email. Posted 07 February 2017 Related posts Building the Future in 2026 by Anna Tumadóttir About CC What We Built Together in 2025 by Anna Tumadóttir About CC Where CC Stands on Pay-to-Crawl by Creative Commons Policy , Sustaining the Commons Integrating Choices in Open Standards: CC Signals and the RSL Standard by Anna Tumadóttir Licenses &amp; Tools , Sustaining the Commons Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org Instagram --> Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome .
2026-01-13T09:29:39
https://google.github.io/adk-docs/agents/models/#known-limitations
Models & Authentication - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Models & Authentication Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Models & Authentication Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Build Agents Agents Using Different Models with ADK &para; Supported in ADK Python v0.1.0 Typescript v0.2.0 Go v0.1.0 Java v0.1.0 The Agent Development Kit (ADK) is designed for flexibility, allowing you to integrate various Large Language Models (LLMs) into your agents. While the setup for Google Gemini models is covered in the Setup Foundation Models guide, this page details how to leverage Gemini effectively and integrate other popular models, including those hosted externally or running locally. ADK primarily uses two mechanisms for model integration: Direct String / Registry: For models tightly integrated with Google Cloud (like Gemini models accessed via Google AI Studio or Vertex AI) or models hosted on Vertex AI endpoints. You typically provide the model name or endpoint resource string directly to the LlmAgent . ADK's internal registry resolves this string to the appropriate backend client, often utilizing the google-genai library. Wrapper Classes: For broader compatibility, especially with models outside the Google ecosystem or those requiring specific client configurations (like models accessed via Apigee or LiteLLM). You instantiate a specific wrapper class (e.g., ApigeeLlm or LiteLlm ) and pass this object as the model parameter to your LlmAgent . The following sections guide you through using these methods based on your needs. Google Gemini models &para; ADK supports the Google Gemini family of generative AI models that provide a powerful set of models with a wide range of features. ADK provides support for many Gemini features, including Code Execution , Google Search , Context caching , Computer use and the Interactions API . Gemini Interactions API &para; Supported in ADK Python v1.21.0 The Gemini Interactions API is an alternative to the generateContent inference API, which provides stateful conversation capabilities, allowing you to chain interactions using a previous_interaction_id instead of sending the full conversation history with each request. Using this feature can be more efficient for long conversations. You can enable the Interactions API by settting the use_interactions_api=True parameter in the Gemini model configuration, as shown in the following code snippet: from google.adk.agents.llm_agent import Agent from google.adk.models.google_llm import Gemini from google.adk.tools.google_search_tool import GoogleSearchTool root_agent = Agent ( model = Gemini ( model = &quot;gemini-2.5-flash&quot; , use_interactions_api = True , # Enable Interactions API ), name = &quot;interactions_test_agent&quot; , tools = [ GoogleSearchTool ( bypass_multi_tools_limit = True ), # Converted to function tool get_current_weather , # Custom function tool ], ) For a complete code sample, see the Interactions API sample . Known limitations &para; The Interactions API does not support mixing custom function calling tools with built-in tools, such as the Google Search , tool, within the same agent. You can work around this limitation by configuring the the built-in tool to operate as a custom tool using the bypass_multi_tools_limit parameter: # Use bypass_multi_tools_limit=True to convert google_search to a function tool GoogleSearchTool ( bypass_multi_tools_limit = True ) In this example, this option converts the built-in google_search to a function calling tool (via GoogleSearchAgentTool), which allows it to work alongside custom function tools. Gemini model authentication &para; This section covers authenticating with Google's Gemini models, either through Google AI Studio for rapid development or Google Cloud Vertex AI for enterprise applications. This is the most direct way to use Google's flagship models within ADK. Integration Method: Once you are authenticated using one of the below methods, you can pass the model's identifier string directly to the model parameter of LlmAgent . Tip The google-genai library, used internally by ADK for Gemini models, can connect through either Google AI Studio or Vertex AI. Model support for voice/video streaming In order to use voice/video streaming in ADK, you will need to use Gemini models that support the Live API. You can find the model ID(s) that support the Gemini Live API in the documentation: Google AI Studio: Gemini Live API Vertex AI: Gemini Live API Google AI Studio &para; This is the simplest method and is recommended for getting started quickly. Authentication Method: API Key Setup: Get an API key: Obtain your key from Google AI Studio . Set environment variables: Create a .env file (Python) or .properties (Java) in your project's root directory and add the following lines. ADK will automatically load this file. export GOOGLE_API_KEY = &quot;YOUR_GOOGLE_API_KEY&quot; export GOOGLE_GENAI_USE_VERTEXAI = FALSE (or) Pass these variables during the model initialization via the Client (see example below). Models: Find all available models on the Google AI for Developers site . Google Cloud Vertex AI &para; For scalable and production-oriented use cases, Vertex AI is the recommended platform. Gemini on Vertex AI supports enterprise-grade features, security, and compliance controls. Based on your development environment and usecase, choose one of the below methods to authenticate . Pre-requisites: A Google Cloud Project with Vertex AI enabled . Method A: User Credentials (for Local Development) &para; Install the gcloud CLI: Follow the official installation instructions . Log in using ADC: This command opens a browser to authenticate your user account for local development. gcloud auth application-default login Set environment variables: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Explicitly tell the library to use Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Models: Find available model IDs in the Vertex AI documentation . Method B: Vertex AI Express Mode &para; Vertex AI Express Mode offers a simplified, API-key-based setup for rapid prototyping. Sign up for Express Mode to get your API key. Set environment variables: export GOOGLE_API_KEY = &quot;PASTE_YOUR_EXPRESS_MODE_API_KEY_HERE&quot; export GOOGLE_GENAI_USE_VERTEXAI = TRUE Method C: Service Account (for Production &amp; Automation) &para; For deployed applications, a service account is the standard method. Create a Service Account and grant it the Vertex AI User role. Provide credentials to your application: On Google Cloud: If you are running the agent in Cloud Run, GKE, VM or other Google Cloud services, the environment can automatically provide the service account credentials. You don't have to create a key file. Elsewhere: Create a service account key file and point to it with an environment variable: export GOOGLE_APPLICATION_CREDENTIALS = &quot;/path/to/your/keyfile.json&quot; Instead of the key file, you can also authenticate the service account using Workload Identity. But this is outside the scope of this guide. Example: Python Go Java from google.adk.agents import LlmAgent # --- Example using a stable Gemini Flash model --- agent_gemini_flash = LlmAgent ( # Use the latest stable Flash model identifier model = &quot;gemini-2.5-flash&quot; , name = &quot;gemini_flash_agent&quot; , instruction = &quot;You are a fast and helpful Gemini assistant.&quot; , # ... other agent parameters ) # --- Example using a powerful Gemini Pro model --- # Note: Always check the official Gemini documentation for the latest model names, # including specific preview versions if needed. Preview models might have # different availability or quota limitations. agent_gemini_pro = LlmAgent ( # Use the latest generally available Pro model identifier model = &quot;gemini-2.5-pro-preview-03-25&quot; , name = &quot;gemini_pro_agent&quot; , instruction = &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , # ... other agent parameters ) import ( &quot;google.golang.org/adk/agent/llmagent&quot; &quot;google.golang.org/adk/model/gemini&quot; &quot;google.golang.org/genai&quot; ) // --- Example using a stable Gemini Flash model --- modelFlash , err := gemini . NewModel ( ctx , &quot;gemini-2.0-flash&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiFlash , err := llmagent . New ( llmagent . Config { // Use the latest stable Flash model identifier Model : modelFlash , Name : &quot;gemini_flash_agent&quot; , Instruction : &quot;You are a fast and helpful Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example using a powerful Gemini Pro model --- // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. modelPro , err := gemini . NewModel ( ctx , &quot;gemini-2.5-pro-preview-03-25&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiPro , err := llmagent . New ( llmagent . Config { // Use the latest generally available Pro model identifier Model : modelPro , Name : &quot;gemini_pro_agent&quot; , Instruction : &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example #1: using a stable Gemini Flash model with ENV variables--- LlmAgent agentGeminiFlash = LlmAgent . builder () // Use the latest stable Flash model identifier . model ( &quot;gemini-2.5-flash&quot; ) // Set ENV variables to use this model . name ( &quot;gemini_flash_agent&quot; ) . instruction ( &quot;You are a fast and helpful Gemini assistant.&quot; ) // ... other agent parameters . build (); // --- Example #2: using a powerful Gemini Pro model with API Key in model --- LlmAgent agentGeminiPro = LlmAgent . builder () // Use the latest generally available Pro model identifier . model ( new Gemini ( &quot;gemini-2.5-pro-preview-03-25&quot; , Client . builder () . vertexAI ( false ) . apiKey ( &quot;API_KEY&quot; ) // Set the API Key (or) project/ location . build ())) // Or, you can also directly pass the API_KEY // .model(new Gemini(&quot;gemini-2.5-pro-preview-03-25&quot;, &quot;API_KEY&quot;)) . name ( &quot;gemini_pro_agent&quot; ) . instruction ( &quot;You are a powerful and knowledgeable Gemini assistant.&quot; ) // ... other agent parameters . build (); // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. Secure Your Credentials Service account credentials or API keys are powerful credentials. Never expose them publicly. Use a secret manager such as Google Cloud Secret Manager to store and access them securely in production. Troubleshooting &para; Error Code 429 - RESOURCE_EXHAUSTED &para; This error usually happens if the number of your requests exceeds the capacity allocated to process requests. To mitigate this, you can do one of the following: Request higher quota limits for the model you are trying to use. Enable client-side retries. Retries allow the client to automatically retry the request after a delay, which can help if the quota issue is temporary. There are two ways you can set retry options: Option 1: Set retry options on the Agent as a part of generate_content_config. You would use this option if you are instantiating this model adapter by yourself. root_agent = Agent ( model = &#39;gemini-2.5-flash&#39; , ... generate_content_config = types . GenerateContentConfig ( ... http_options = types . HttpOptions ( ... retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ... ), ... ) Option 2: Retry options on this model adapter. You would use this option if you were instantiating the instance of adapter by yourself. from google.genai import types # ... agent = Agent ( model = Gemini ( retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ) ) Using Anthropic models &para; Supported in ADK Java v0.2.0 You can integrate Anthropic's Claude models directly using their API key or from a Vertex AI backend into your Java ADK applications by using the ADK's Claude wrapper class. For Vertex AI backend, see the Third-Party Models on Vertex AI section. Prerequisites: Dependencies: Anthropic SDK Classes (Transitive): The Java ADK's com.google.adk.models.Claude wrapper relies on classes from Anthropic's official Java SDK. These are typically included as transitive dependencies . Anthropic API Key: Obtain an API key from Anthropic. Securely manage this key using a secret manager. Integration: Instantiate com.google.adk.models.Claude , providing the desired Claude model name and an AnthropicOkHttpClient configured with your API key. Then, pass this Claude instance to your LlmAgent . Example: import com.anthropic.client.AnthropicClient ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; // From Anthropic&#39;s SDK public class DirectAnthropicAgent { private static final String CLAUDE_MODEL_ID = &quot;claude-3-7-sonnet-latest&quot; ; // Or your preferred Claude model public static LlmAgent createAgent () { // It&#39;s recommended to load sensitive keys from a secure config AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . apiKey ( &quot;ANTHROPIC_API_KEY&quot; ) . build (); Claude claudeModel = new Claude ( CLAUDE_MODEL_ID , anthropicClient ); return LlmAgent . builder () . name ( &quot;claude_direct_agent&quot; ) . model ( claudeModel ) . instruction ( &quot;You are a helpful AI assistant powered by Anthropic Claude.&quot; ) // ... other LlmAgent configurations . build (); } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created direct Anthropic agent: &quot; + agent . name ()); } catch ( IllegalStateException e ) { System . err . println ( &quot;Error creating agent: &quot; + e . getMessage ()); } } } Using Apigee gateway for AI models &para; Supported in ADK Python v1.18.0 Java v0.4.0 Apigee acts as a powerful AI Gateway , transforming how you manage and govern your generative AI model traffic. By exposing your AI model endpoint (like Vertex AI or the Gemini API) through an Apigee proxy, you immediately gain enterprise-grade capabilities: Model Safety: Implement security policies like Model Armor for threat protection. Traffic Governance: Enforce Rate Limiting and Token Limiting to manage costs and prevent abuse. Performance: Improve response times and efficiency using Semantic Caching and advanced model routing. Monitoring &amp; Visibility: Get granular monitoring, analysis, and auditing of all your AI requests. NOTE: The ApigeeLLM wrapper is currently designed for use with Vertex AI and the Gemini API (generateContent). We are continually expanding support for other models and interfaces. Integration Method: To integrate Apigee's governance into your agent's workflow, simply instantiate the ApigeeLlm wrapper and pass it to an LlmAgent or other agent type. Example: Python Java from google.adk.agents import LlmAgent from google.adk.models.apigee_llm import ApigeeLlm # Instantiate the ApigeeLlm wrapper model = ApigeeLlm ( # Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation (https://github.com/google/adk-python/tree/main/contributing/samples/hello_world_apigeellm). model = &quot;apigee/gemini-2.5-flash&quot; , # The proxy URL of your deployed Apigee proxy including the base path proxy_url = f &quot;https:// { APIGEE_PROXY_URL } &quot; , # Pass necessary authentication/authorization headers (like an API key) custom_headers = { &quot;foo&quot; : &quot;bar&quot; } ) # Pass the configured model wrapper to your LlmAgent agent = LlmAgent ( model = model , name = &quot;my_governed_agent&quot; , instruction = &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; , # ... other agent parameters ) import com.google.adk.agents.LlmAgent ; import com.google.adk.models.ApigeeLlm ; import com.google.common.collect.ImmutableMap ; ApigeeLlm apigeeLlm = ApigeeLlm . builder () . modelName ( &quot;apigee/gemini-2.5-flash&quot; ) // Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation . proxyUrl ( APIGEE_PROXY_URL ) //The proxy URL of your deployed Apigee proxy including the base path . customHeaders ( ImmutableMap . of ( &quot;foo&quot; , &quot;bar&quot; )) //Pass necessary authentication/authorization headers (like an API key) . build (); LlmAgent agent = LlmAgent . builder () . model ( apigeeLlm ) . name ( &quot;my_governed_agent&quot; ) . description ( &quot;my_governed_agent&quot; ) . instruction ( &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; ) // tools will be added next . build (); With this configuration, every API call from your agent will be routed through Apigee first, where all necessary policies (security, rate limiting, logging) are executed before the request is securely forwarded to the underlying AI model endpoint. For a full code example using the Apigee proxy, see Hello World Apigee LLM Using Cloud &amp; Proprietary Models via LiteLLM &para; Supported in ADK Python v0.1.0 To access a vast range of LLMs from providers like OpenAI, Anthropic (non-Vertex AI), Cohere, and many others, ADK offers integration through the LiteLLM library. Integration Method: Instantiate the LiteLlm wrapper class and pass it to the model parameter of LlmAgent . LiteLLM Overview: LiteLLM acts as a translation layer, providing a standardized, OpenAI-compatible interface to over 100+ LLMs. Setup: Install LiteLLM: pip install litellm Set Provider API Keys: Configure API keys as environment variables for the specific providers you intend to use. Example for OpenAI: export OPENAI_API_KEY = &quot;YOUR_OPENAI_API_KEY&quot; Example for Anthropic (non-Vertex AI): export ANTHROPIC_API_KEY = &quot;YOUR_ANTHROPIC_API_KEY&quot; Consult the LiteLLM Providers Documentation for the correct environment variable names for other providers. Example: from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using OpenAI&#39;s GPT-4o --- # (Requires OPENAI_API_KEY) agent_openai = LlmAgent ( model = LiteLlm ( model = &quot;openai/gpt-4o&quot; ), # LiteLLM model string format name = &quot;openai_agent&quot; , instruction = &quot;You are a helpful assistant powered by GPT-4o.&quot; , # ... other agent parameters ) # --- Example Agent using Anthropic&#39;s Claude Haiku (non-Vertex) --- # (Requires ANTHROPIC_API_KEY) agent_claude_direct = LlmAgent ( model = LiteLlm ( model = &quot;anthropic/claude-3-haiku-20240307&quot; ), name = &quot;claude_direct_agent&quot; , instruction = &quot;You are an assistant powered by Claude Haiku.&quot; , # ... other agent parameters ) Windows Encoding Note for LiteLLM When using ADK agents with LiteLLM on Windows, you might encounter a UnicodeDecodeError . This error occurs because LiteLLM may attempt to read cached files using the default Windows encoding ( cp1252 ) instead of UTF-8. To prevent this, we recommend setting the PYTHONUTF8 environment variable to 1 . This forces Python to use UTF-8 for all file I/O. Example (PowerShell): # Set for the current session $env:PYTHONUTF8 = &quot;1&quot; # Set persistently for the user [System.Environment] :: SetEnvironmentVariable ( &#39;PYTHONUTF8&#39; , &#39;1&#39; , [System.EnvironmentVariableTarget] :: User ) Using Open &amp; Local Models via LiteLLM &para; Supported in ADK Python v0.1.0 For maximum control, cost savings, privacy, or offline use cases, you can run open-source models locally or self-host them and integrate them using LiteLLM. Integration Method: Instantiate the LiteLlm wrapper class, configured to point to your local model server. Ollama Integration &para; Ollama allows you to easily run open-source models locally. Model choice &para; If your agent is relying on tools, please make sure that you select a model with tool support from Ollama website . For reliable results, we recommend using a decent-sized model with tool support. The tool support for the model can be checked with the following command: ollama show mistral-small3.1 Model architecture mistral3 parameters 24 .0B context length 131072 embedding length 5120 quantization Q4_K_M Capabilities completion vision tools You are supposed to see tools listed under capabilities. You can also look at the template the model is using and tweak it based on your needs. ollama show --modelfile llama3.2 &gt; model_file_to_modify For instance, the default template for the above model inherently suggests that the model shall call a function all the time. This may result in an infinite loop of function calls. Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. Respond in the format {&quot;name&quot;: function name, &quot;parameters&quot;: dictionary of argument name and its value}. Do not use variables. You can swap such prompts with a more descriptive one to prevent infinite tool call loops. For instance: Review the user&#39;s prompt and the available functions listed below. First, determine if calling one of these functions is the most appropriate way to respond. A function call is likely needed if the prompt asks for a specific action, requires external data lookup, or involves calculations handled by the functions. If the prompt is a general question or can be answered directly, a function call is likely NOT needed. If you determine a function call IS required: Respond ONLY with a JSON object in the format {&quot;name&quot;: &quot;function_name&quot;, &quot;parameters&quot;: {&quot;argument_name&quot;: &quot;value&quot;}}. Ensure parameter values are concrete, not variables. If you determine a function call IS NOT required: Respond directly to the user&#39;s prompt in plain text, providing the answer or information requested. Do not output any JSON. Then you can create a new model with the following command: ollama create llama3.2-modified -f model_file_to_modify Using ollama_chat provider &para; Our LiteLLM wrapper can be used to create agents with Ollama models. root_agent = Agent ( model = LiteLlm ( model = &quot;ollama_chat/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) It is important to set the provider ollama_chat instead of ollama . Using ollama will result in unexpected behaviors such as infinite tool call loops and ignoring previous context. While api_base can be provided inside LiteLLM for generation, LiteLLM library is calling other APIs relying on the env variable instead as of v1.65.5 after completion. So at this time, we recommend setting the env variable OLLAMA_API_BASE to point to the ollama server. export OLLAMA_API_BASE = &quot;http://localhost:11434&quot; adk web Using openai provider &para; Alternatively, openai can be used as the provider name. But this will also require setting the OPENAI_API_BASE=http://localhost:11434/v1 and OPENAI_API_KEY=anything env variables instead of OLLAMA_API_BASE . Please note that api base now has /v1 at the end. root_agent = Agent ( model = LiteLlm ( model = &quot;openai/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) export OPENAI_API_BASE = http://localhost:11434/v1 export OPENAI_API_KEY = anything adk web Debugging &para; You can see the request sent to the Ollama server by adding the following in your agent code just after imports. import litellm litellm . _turn_on_debug () Look for a line like the following: Request Sent from LiteLLM: curl -X POST \ http://localhost:11434/api/chat \ -d &#39;{&#39; model &#39;: &#39; mistral-small3.1 &#39;, &#39; messages &#39;: [{&#39; role &#39;: &#39; system &#39;, &#39; content &#39; : ... Self-Hosted Endpoint (e.g., vLLM) &para; Supported in ADK Python Tools such as vLLM allow you to host models efficiently and often expose an OpenAI-compatible API endpoint. Setup: Deploy Model: Deploy your chosen model using vLLM (or a similar tool). Note the API base URL (e.g., https://your-vllm-endpoint.run.app/v1 ). Important for ADK Tools: When deploying, ensure the serving tool supports and enables OpenAI-compatible tool/function calling. For vLLM, this might involve flags like --enable-auto-tool-choice and potentially a specific --tool-call-parser , depending on the model. Refer to the vLLM documentation on Tool Use. Authentication: Determine how your endpoint handles authentication (e.g., API key, bearer token). Integration Example: import subprocess from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using a model hosted on a vLLM endpoint --- # Endpoint URL provided by your vLLM deployment api_base_url = &quot;https://your-vllm-endpoint.run.app/v1&quot; # Model name as recognized by *your* vLLM endpoint configuration model_name_at_endpoint = &quot;hosted_vllm/google/gemma-3-4b-it&quot; # Example from vllm_test.py # Authentication (Example: using gcloud identity token for a Cloud Run deployment) # Adapt this based on your endpoint&#39;s security try : gcloud_token = subprocess . check_output ( [ &quot;gcloud&quot; , &quot;auth&quot; , &quot;print-identity-token&quot; , &quot;-q&quot; ] ) . decode () . strip () auth_headers = { &quot;Authorization&quot; : f &quot;Bearer { gcloud_token } &quot; } except Exception as e : print ( f &quot;Warning: Could not get gcloud token - { e } . Endpoint might be unsecured or require different auth.&quot; ) auth_headers = None # Or handle error appropriately agent_vllm = LlmAgent ( model = LiteLlm ( model = model_name_at_endpoint , api_base = api_base_url , # Pass authentication headers if needed extra_headers = auth_headers # Alternatively, if endpoint uses an API key: # api_key=&quot;YOUR_ENDPOINT_API_KEY&quot; ), name = &quot;vllm_agent&quot; , instruction = &quot;You are a helpful assistant running on a self-hosted vLLM endpoint.&quot; , # ... other agent parameters ) Using Hosted &amp; Tuned Models on Vertex AI &para; For enterprise-grade scalability, reliability, and integration with Google Cloud's MLOps ecosystem, you can use models deployed to Vertex AI Endpoints. This includes models from Model Garden or your own fine-tuned models. Integration Method: Pass the full Vertex AI Endpoint resource string ( projects/PROJECT_ID/locations/LOCATION/endpoints/ENDPOINT_ID ) directly to the model parameter of LlmAgent . Vertex AI Setup (Consolidated): Ensure your environment is configured for Vertex AI: Authentication: Use Application Default Credentials (ADC): gcloud auth application-default login Environment Variables: Set your project and location: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Enable Vertex Backend: Crucially, ensure the google-genai library targets Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Model Garden Deployments &para; Supported in ADK Python v0.2.0 You can deploy various open and proprietary models from the Vertex AI Model Garden to an endpoint. Example: from google.adk.agents import LlmAgent from google.genai import types # For config objects # --- Example Agent using a Llama 3 model deployed from Model Garden --- # Replace with your actual Vertex AI Endpoint resource name llama3_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_LLAMA3_ENDPOINT_ID&quot; agent_llama3_vertex = LlmAgent ( model = llama3_endpoint , name = &quot;llama3_vertex_agent&quot; , instruction = &quot;You are a helpful assistant based on Llama 3, hosted on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 2048 ), # ... other agent parameters ) Fine-tuned Model Endpoints &para; Supported in ADK Python v0.2.0 Deploying your fine-tuned models (whether based on Gemini or other architectures supported by Vertex AI) results in an endpoint that can be used directly. Example: from google.adk.agents import LlmAgent # --- Example Agent using a fine-tuned Gemini model endpoint --- # Replace with your fine-tuned model&#39;s endpoint resource name finetuned_gemini_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_FINETUNED_ENDPOINT_ID&quot; agent_finetuned_gemini = LlmAgent ( model = finetuned_gemini_endpoint , name = &quot;finetuned_gemini_agent&quot; , instruction = &quot;You are a specialized assistant trained on specific data.&quot; , # ... other agent parameters ) Third-Party Models on Vertex AI (e.g., Anthropic Claude) &para; Some providers, like Anthropic, make their models available directly through Vertex AI. Python Java Integration Method: Uses the direct model string (e.g., "claude-3-sonnet@20240229" ), but requires manual registration within ADK. Why Registration? ADK's registry automatically recognizes gemini-* strings and standard Vertex AI endpoint strings ( projects/.../endpoints/... ) and routes them via the google-genai library. For other model types used directly via Vertex AI (like Claude), you must explicitly tell the ADK registry which specific wrapper class ( Claude in this case) knows how to handle that model identifier string with the Vertex AI backend. Setup: Vertex AI Environment: Ensure the consolidated Vertex AI setup (ADC, Env Vars, GOOGLE_GENAI_USE_VERTEXAI=TRUE ) is complete. Install Provider Library: Install the necessary client library configured for Vertex AI. pip install &quot;anthropic[vertex]&quot; Register Model Class: Add this code near the start of your application, before creating an agent using the Claude model string: # Required for using Claude model strings directly via Vertex AI with LlmAgent from google.adk.models.anthropic_llm import Claude from google.adk.models.registry import LLMRegistry LLMRegistry . register ( Claude ) Example: from google.adk.agents import LlmAgent from google.adk.models.anthropic_llm import Claude # Import needed for registration from google.adk.models.registry import LLMRegistry # Import needed for registration from google.genai import types # --- Register Claude class (do this once at startup) --- LLMRegistry . register ( Claude ) # --- Example Agent using Claude 3 Sonnet on Vertex AI --- # Standard model name for Claude 3 Sonnet on Vertex AI claude_model_vertexai = &quot;claude-3-sonnet@20240229&quot; agent_claude_vertexai = LlmAgent ( model = claude_model_vertexai , # Pass the direct string after registration name = &quot;claude_vertexai_agent&quot; , instruction = &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 4096 ), # ... other agent parameters ) Integration Method: Directly instantiate the provider-specific model class (e.g., com.google.adk.models.Claude ) and configure it with a Vertex AI backend. Why Direct Instantiation? The Java ADK's LlmRegistry primarily handles Gemini models by default. For third-party models like Claude on Vertex AI, you directly provide an instance of the ADK's wrapper class (e.g., Claude ) to the LlmAgent . This wrapper class is responsible for interacting with the model via its specific client library, configured for Vertex AI. Setup: Vertex AI Environment: Ensure your Google Cloud project and region are correctly set up. Application Default Credentials (ADC): Make sure ADC is configured correctly in your environment. This is typically done by running gcloud auth application-default login . The Java client libraries will use these credentials to authenticate with Vertex AI. Follow the Google Cloud Java documentation on ADC for detailed setup. Provider Library Dependencies: Third-Party Client Libraries (Often Transitive): The ADK core library often includes the necessary client libraries for common third-party models on Vertex AI (like Anthropic's required classes) as transitive dependencies . This means you might not need to explicitly add a separate dependency for the Anthropic Vertex SDK in your pom.xml or build.gradle . Instantiate and Configure the Model: When creating your LlmAgent , instantiate the Claude class (or the equivalent for another provider) and configure its VertexBackend . Example: import com.anthropic.client.AnthropicClient ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; import com.anthropic.vertex.backends.VertexBackend ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; // ADK&#39;s wrapper for Claude import com.google.auth.oauth2.GoogleCredentials ; import java.io.IOException ; // ... other imports public class ClaudeVertexAiAgent { public static LlmAgent createAgent () throws IOException { // Model name for Claude 3 Sonnet on Vertex AI (or other versions) String claudeModelVertexAi = &quot;claude-3-7-sonnet&quot; ; // Or any other Claude model // Configure the AnthropicOkHttpClient with the VertexBackend AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . backend ( VertexBackend . builder () . region ( &quot;us-east5&quot; ) // Specify your Vertex AI region . project ( &quot;your-gcp-project-id&quot; ) // Specify your GCP Project ID . googleCredentials ( GoogleCredentials . getApplicationDefault ()) . build ()) . build (); // Instantiate LlmAgent with the ADK Claude wrapper LlmAgent agentClaudeVertexAi = LlmAgent . builder () . model ( new Claude ( claudeModelVertexAi , anthropicClient )) // Pass the Claude instance . name ( &quot;claude_vertexai_agent&quot; ) . instruction ( &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; ) // .generateContentConfig(...) // Optional: Add generation config if needed // ... other agent parameters . build (); return agentClaudeVertexAi ; } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created agent: &quot; + agent . name ()); // Here you would typically set up a Runner and Session to interact with the agent } catch ( IOException e ) { System . err . println ( &quot;Failed to create agent: &quot; + e . getMessage ()); e . printStackTrace (); } } } Back to top Previous Agent Config Next Tools for Agents Copyright Google 2025&nbsp;&nbsp;|&nbsp;&nbsp; Terms &nbsp;&nbsp;|&nbsp;&nbsp; Privacy &nbsp;&nbsp;|&nbsp;&nbsp; Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. 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Veriff | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Create an account Veriff Software Development Veriff is an industry leader in online identity verification, helping businesses achieve greater levels of trust. See jobs Follow Discover all 507 employees Report this company Overview Jobs Life About us Veriff is the preferred identity verification partner for the world’s biggest and best digital companies, including pioneers in fintech, crypto, gaming and the mobility sectors. We provide advanced technology, deep insights and expertise from our foundation in digital-first Estonia and honed over decades in leading the digital identity revolution.The partner of choice for businesses who need to rapidly and effortlessly verify online users from anywhere in the world, Veriff delivers the widest possible identity document coverage. By supporting government issued IDs from more than 230 countries and territories and with our intelligent decision engine which analyzes thousands of technological and behavioral variables Veriff enables trust from the first hello. We’re a global company with hubs in Europe, the US, and LatAm. We have a robust backing and funding from investors including Accel, Alkeon, IVP, Tiger Capital and Y Combinator, we’re dedicated to helping businesses and individuals build a safer and more secure world. To learn more, visit veriff.com. Website www.veriff.com External link for Veriff Industry Software Development Company size 201-500 employees Headquarters New York Type Privately Held Founded 2015 Specialties Digital Identity, Identity Verification, Compliance, KYC, AML, Fraud Prevention, Online Business, FinTech, Mobility, Crypto, Know Your Customer, Anti-Money Laundering, Online Identity Verification, IDV, Artificial intelligence , Sharing economy, Security, and Conversion rates Products See all No more previous content Age Estimation Age Validation AML Screening, Anti-Money Laundering (AML) Software AML Screening Anti-Money Laundering (AML) Software Biometric Authentication Database Verification Checks Fraud Intelligence Fraud Protect Identity Verification KYC Onboarding Proof of Address No more next content Products Age Estimation Age Validation AML Screening, Anti-Money Laundering (AML) Software AML Screening Anti-Money Laundering (AML) Software Biometric Authentication Database Verification Checks Fraud Intelligence Fraud Protect Identity Verification KYC Onboarding Proof of Address Veriff, Identity Verification Software Veriff Identity Verification Software Locations Primary 110 Wall St New York, 10005, US Get directions Niine 11 Tallinn, Harjumaa 10414, EE Get directions Av. Diagonal, 123 Barcelona, 08005, ES Get directions 107 Cheapside Passage London, England, GB Get directions Avenida Paulista 1079 Paulínia, São Paulo, BR Get directions Tartu, EE Get directions Mexico City, MX Get directions Panama City, PA Get directions Bogota, CO Get directions Show more locations Show fewer locations Employees at Veriff John Mitzel Fabricio Mazzari Ott Kaukver Simon Levene See all employees Updates Veriff 44,420 followers 23h Report this post Identity checks used to be simple: scan an ID and you’re done. Today, it’s more complex, and for good reason. Modern identity verification looks beyond single signals to understand real behavior and context. In this podcast clip, Bruce Ackerman from Grid explains how identity verification has evolved and why “getting everything right” isn’t always what it seems. 🎧 Listen to the full episode of #VeriffVoices wherever you get your podcasts. …more 7 Like Comment Share Veriff 44,420 followers 3d Report this post In today’s digital world, trust comes down to how well identity and data are protected. As technology evolves, expectations around privacy are rising just as quickly. That’s why countries around the world are tightening data protection and privacy laws, making sure personal data is handled responsibly while still enabling seamless digital experiences. For businesses, strong identity verification is a critical part of meeting these expectations and earning long-term trust. 👉 Comment “Data privacy” to receive the Ultimate Guide to US Data Privacy Protection Laws. …more 35 Like Comment Share Veriff 44,420 followers 4d Report this post Fraud now makes up 43% of all crime in the UK. That stat alone should stop us in our tracks. In this clip, Rachael T., Director of Learning &amp; Public Sector at Cifas , shares just how quickly the fraud landscape is changing, and why the numbers keep climbing. Over £11.4bn stolen in 2024, record levels of fraud were logged in 2025, and identity fraud still sitting at the centre of it all. In the latest episode of #VeriffVoices , we talk about: *How AI is making scams faster and far more convincing *Why insider risk and “polygamous working” are becoming real problems *What this means for organisations, employers, and individuals right now This isn’t about scare stories, it’s about understanding what’s happening and what needs to change. 🎧 The full conversation is out now on all major podcast platforms. …more 20 Like Comment Share Veriff 44,420 followers 5d Report this post Fraud doesn’t wait. Your infrastructure can’t either. What stops fraud today won’t stop it tomorrow, and that’s the real risk most teams underestimate. Bad actors don’t attack one company at a time. They move across platforms in seconds, reusing what worked moments before. If your defenses are static, you’re already behind. Modern fraud prevention isn’t a tool, it’s a living infrastructure: • Thousands of signals assessed in a single session • Intelligence shared across a network, not siloed • AI models retrain continuously, with new rules deployed daily The real question for risk and security leaders: does your system evolve as fast as the threat? 👉 Kaarel Kotkas shares a deeper perspective on why adaptive infrastructure is now essential (link in comments). 22 1 Comment Like Comment Share Veriff 44,420 followers 1w Report this post Fraud isn’t slowing down, it’s getting smarter. This content isn’t available here Access this content and more in the LinkedIn app Download the app 10 Like Comment Share Veriff 44,420 followers 1w Report this post ❣️How Feeld and Veriff partnered to fight fraud and build a dating platform where trusted interactions and user safety are paramount. 🎦 Lavina Lim …more 23 Like Comment Share Veriff 44,420 followers 1w Report this post As we step into 2026, we reflect on a year that truly had it all: highs and lows, twists and turns. It was an unforgettable ride. 🙏 Through it all, we stayed true to what defines us: we always find a solution, and we have each other’s backs. That mindset, combined with the trust of our customers and the dedication of our incredible Veriffians, past, present, and future, continues to move us forward. 🚀 Here’s to new opportunities, bold ambitions, and continued growth. Wishing you all a happy and prosperous 2026! 24 Like Comment Share Veriff 44,420 followers 2w Report this post ✨ The year Veriff ied ✨ This year gave us clarity on how fast fraud is evolving and on the scale of trust the internet now demands. As we crossed $100M in revenue, reached profitability, and completed 30X year-over-year growth in authentication volumes, one thing stood out: nearly 1 in 25 attempts was fraudulent. Working across industries and regions allowed us to see these shifts early and respond with smarter, faster protection. We expanded our global presence, deepened our voice in the industry, and continued building technology that makes trust seamless, secure, and proactive. Looking ahead, we’re doubling down on AI-powered fraud prevention, frictionless onboarding, and future-ready compliance, so businesses can grow with confidence in a world that never stands still. 🔐 41 Like Comment Share Veriff 44,420 followers 2w Report this post Seamless banking doesn’t come from removing security, it comes from applying it intelligently. At MoneyLIVE Payments Europe, Monzo Bank ’s Gareth Murray and Veriff’s Geo Jolly discussed how financial institutions can reduce friction while staying ahead of rapidly evolving fraud. The takeaway? Security must be adaptive: ✔️ Personalized controls that give users flexibility ✔️ Risk-based authentication powered by passive signals ✔️ Friction applied only when risk demands it The future of payments lies in shared intelligence, behavioral insights, and adaptive authentication, working together in real time. Read our blog for more highlights from this insightful conversation: https://bit.ly/4qncxgK 💡 15 2 Comments Like Comment Share Veriff 44,420 followers 2w Report this post By 2026, fraud will be faster, smarter, and more connected than ever. Deepfakes, synthetic identities, and coordinated cross-platform attacks won’t be edge cases, they’ll be standard tools for organized fraud networks. Staying ahead means building foresight into your trust strategy. That includes: *Multi-layered defenses against AI-generated fraud *Visibility across users, devices, industries, and regions *Human expertise working alongside machine learning *Shared intelligence (without exposing PII) From liveness checks to industry crosslinks, the future of trust belongs to organizations that see patterns early. 👉 Want to stay ahead of fraud in 2026 and beyond? DM us on LinkedIn. 18 Like Comment Share Join now to see what you are missing Find people you know at Veriff Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Wise Financial Services Pipedrive Software Development New York, New York Bolt Software Development Onfido IT Services and IT Consulting London, England Sumsub IT Services and IT Consulting Jumio Corporation Software Development Sunnyvale, California Vanta Software Development San Francisco, California Revolut Financial Services London, England Tailscale Software Development Toronto, Ontario Thumbtack Software Development San Francisco, California Show more similar pages Show fewer similar pages Browse jobs Account Manager jobs 121,519 open jobs Manager jobs 1,880,925 open jobs Analyst jobs 694,057 open jobs Engineer jobs 555,845 open jobs Account Executive jobs 71,457 open jobs Project Manager jobs 253,048 open jobs Developer jobs 258,935 open jobs Specialist jobs 768,666 open jobs Sales Director jobs 83,949 open jobs Executive jobs 690,514 open jobs Marketing Manager jobs 106,879 open jobs Sales Manager jobs 310,050 open jobs Director jobs 1,220,357 open jobs Key Account Manager jobs 41,260 open jobs Vice President jobs 235,270 open jobs Software Engineer jobs 300,699 open jobs Scientist jobs 48,969 open jobs Data Analyst jobs 329,009 open jobs Technical Account Manager jobs 26,183 open jobs Associate jobs 1,091,945 open jobs Show more jobs like this Show fewer jobs like this Funding Veriff 7 total rounds Last Round Series C Feb 26, 2022 External Crunchbase Link for last round of funding US$ 100.0M Investors Alkeon Capital Tiger Global Management + 2 Other investors See more info on crunchbase More searches More searches Engineer jobs Account Manager jobs Manager jobs Analyst jobs Project Manager jobs Developer jobs Marketing Manager jobs Senior Product Manager jobs Account Executive jobs Business Development Specialist jobs Recruiter jobs Head of Sales jobs Software Engineer jobs Customer Success Manager jobs Marketing Director jobs Revenue Officer jobs Human Resources Business Partner jobs Sales Manager jobs Vice President of Sales jobs Executive jobs Director jobs Sales Director jobs Product Manager jobs Technical Recruiter jobs Enterprise Account Manager jobs Solutions Engineer jobs Account Director jobs Head of Product jobs Associate jobs Android Developer jobs Video Manager jobs Head jobs Technical Account Manager jobs Marketing Specialist jobs Account Administrator jobs User Experience Designer jobs Officer jobs Head of Marketing jobs Senior Software Engineer jobs Lead Data Analyst jobs Vice President Marketing jobs Service Designer jobs Specialist jobs Head of Product Management jobs Intern jobs Scientist jobs Writer jobs Project Analyst jobs Network Telecommunications Engineer jobs Marketing Assistant jobs Digital Marketing Specialist jobs Software Architect jobs Full Stack Engineer jobs Senior Director jobs Senior Product Marketing Manager jobs Marketing Lead jobs Chief Revenue Officer jobs Vice President jobs Enterprise Account Executive jobs Designer jobs LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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2026-01-13T09:29:39
https://techcrunch.com/2017/02/07/creative-commons-unveils-a-new-photo-search-engine-with-filters-lists-social-sharing/
Creative Commons unveils a new photo search engine with filters, lists &amp; social sharing | TechCrunch TechCrunch Desktop Logo TechCrunch Mobile Logo Latest Startups Venture Apple Security AI Apps Events Podcasts Newsletters Search Submit Site Search Toggle Mega Menu Toggle Topics Latest AI Amazon Apps Biotech &amp; Health Climate Cloud Computing Commerce Crypto Enterprise EVs Fintech Fundraising Gadgets Gaming Google Government &amp; Policy Hardware Instagram Layoffs Media &amp; Entertainment Meta Microsoft Privacy Robotics Security Social Space Startups TikTok Transportation Venture More from TechCrunch Staff Events Startup Battlefield StrictlyVC Newsletters Podcasts Videos Partner Content TechCrunch Brand Studio Crunchboard Contact Us Creative Commons unveils a new photo search engine with filters, lists &amp; social sharing Sarah Perez 9:42 AM PST · February 7, 2017 Finding free and legal images to accompany your web content has never been difficult, thanks to Creative Commons . The nonprofit organization offers copyright licenses that creators can use to share their work more broadly, while putting them in control of where and how their work can be used, how it should be attributed and more. Now the organization is making it easier to access this content with a new search engine, CC Search, launched into beta this morning. Larger image search engines, like those from  Google and Flickr , have for years offered tools to filter for CC-licensed images, but Creative Commons&#8217; own search tool continues to have a sizable audience of its own. The organization says that nearly 60,000 users search its site every month. But it believed it needed to do better, in terms of making the commons more accessible. &#8220;There is no &#8216;front door&#8217; to the commons, and the tools people need to curate, share, and remix works aren’t yet available,&#8221; writes Ryan Merkley, Creative Commons CEO on the organization&#8217;s  blog . &#8220;We want to make the commons more usable, and this is our next step in that direction.&#8221; While Creative Commons licenses can be used across a variety of media, including video, audio, music and much more, the search engine for now only focuses on images given that they comprise half of the total commons. The engine pulls in photos from Flickr, 500px, Rijksmuseum, the New York Public Library and the Metropolitan Museum of Art as its initial sources. The latter was added to just today , to coincide with the launch, and brings 200,000 more images to the service. In total, there are roughly 9,477,000 images available at the time of launch, though the exact figures will vary at times. Techcrunch event Join the Disrupt 2026 Waitlist Add yourself to the Disrupt 2026 waitlist to be first in line when Early Bird tickets drop. Past Disrupts have brought Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla to the stages — part of 250+ industry leaders driving 200+ sessions built to fuel your growth and sharpen your edge. Plus, meet the hundreds of startups innovating across every sector. Join the Disrupt 2026 Waitlist Add yourself to the Disrupt 2026 waitlist to be first in line when Early Bird tickets drop. Past Disrupts have brought Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla to the stages — part of 250+ industry leaders driving 200+ sessions built to fuel your growth and sharpen your edge. Plus, meet the hundreds of startups innovating across every sector. San Francisco | October 13-15, 2026 W AITLIST NOW In addition to having a more modern look-and-feel, the new CC Search lets you narrow searches by license type, title, creator, tags, collection and type of institution. It also includes social features, letting you make and share lists of favorite images, as well as add tags and favorites to individual items. Plus, you can save your searches for quick access in the future. The engine also makes it easier to apply the necessary attribution, when available, by offering  pre-formatted copy you can click to copy and paste. As a beta, the organization says it&#8217;s looking to now gain feedback from users about the new product, which it will use to help guide the next steps, including things like forthcoming features, what media types to support next and which repositories should be added. Creative Commons says it&#8217;s already focused on bringing to future CC Search releases the full content of the Europeana collection, a selected subset from DPLA and a larger subset of the Flickr Commons. Other additions in the works include more tools to customize shared lists, a way to search from your own curated material, the ability for trusted users to push metadata (e.g. tags) back to the larger collection and more advanced search tools, like search by color , drill down into tags  and search public lists . Being able to more easily search the commons has been a focus over the years for smaller services, too, which long ago launched their own dedicated CC search tools, like Compfight  or Openphoto , for example. But it makes sense to have an advanced search feature that lives on Creative Commons&#8217; website as well &#8212; and one that, in time, will expand beyond just images. &#8220;This is a significant moment for CC, as we’ve always wanted to be able to do more to help people find and use the commons and make connections with each other as they create new things,&#8221; noted Merkley, in the announcement. The beta search engine is available at  ccsearch.creativecommons.org . Topics Creative-Commons , images , photo search , Photography , photos , search engine , TC Sarah Perez Consumer News Editor Sarah has worked as a reporter for TechCrunch since August 2011. She joined the company after having previously spent over three years at ReadWriteWeb. Prior to her work as a reporter, Sarah worked in I.T. across a number of industries, including banking, retail and software. You can contact or verify outreach from Sarah by emailing sarahp@techcrunch.com or via encrypted message at sarahperez.01 on Signal. View Bio Dates TBD Locations TBA Plan ahead for the 2026 StrictlyVC events. Hear straight-from-the-source candid insights in on-stage fireside sessions and meet the builders and backers shaping the industry. Join the waitlist to get first access to the lowest-priced tickets and important updates. Waitlist Now Most Popular Google announces a new protocol to facilitate commerce using AI agents Ivan Mehta The most bizarre tech announced so far at CES 2026 Lauren Forristal Yes, LinkedIn banned AI agent startup Artisan, but now it&#8217;s back Julie Bort OpenAI unveils ChatGPT Health, says 230 million users ask about health each week Amanda Silberling Techcrunch event Join the Disrupt 2026 Waitlist Add yourself to the Disrupt 2026 waitlist to be first in line when Early Bird tickets drop. Past Disrupts have brought Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla to the stages — part of 250+ industry leaders driving 200+ sessions built to fuel your growth and sharpen your edge. Plus, meet the hundreds of startups innovating across every sector. Join the Disrupt 2026 Waitlist Add yourself to the Disrupt 2026 waitlist to be first in line when Early Bird tickets drop. Past Disrupts have brought Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla to the stages — part of 250+ industry leaders driving 200+ sessions built to fuel your growth and sharpen your edge. Plus, meet the hundreds of startups innovating across every sector. San Francisco | October 13-15, 2026 W AITLIST NOW How Quilt solved the heat pump&#8217;s biggest challenge Tim De Chant A viral Reddit post alleging fraud from a food delivery app turned out to be AI-generated Amanda Silberling Founder of spyware maker pcTattletale pleads guilty to hacking and advertising surveillance software Zack Whittaker Loading the next article Error loading the next article X LinkedIn Facebook Instagram youTube Mastodon Threads Bluesky TechCrunch Staff Contact Us Advertise Crunchboard Jobs Site Map Terms of Service Privacy Policy RSS Terms of Use Code of Conduct CES 2026 Elon Musk v OpenAI Clicks Communicator Gmail Larry Page Tech Layoffs ChatGPT © 2025 TechCrunch Media LLC.
2026-01-13T09:29:39
https://google.github.io/adk-docs/agents/models/#interactions-api
Models & Authentication - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Models & Authentication Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Models & Authentication Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Build Agents Agents Using Different Models with ADK &para; Supported in ADK Python v0.1.0 Typescript v0.2.0 Go v0.1.0 Java v0.1.0 The Agent Development Kit (ADK) is designed for flexibility, allowing you to integrate various Large Language Models (LLMs) into your agents. While the setup for Google Gemini models is covered in the Setup Foundation Models guide, this page details how to leverage Gemini effectively and integrate other popular models, including those hosted externally or running locally. ADK primarily uses two mechanisms for model integration: Direct String / Registry: For models tightly integrated with Google Cloud (like Gemini models accessed via Google AI Studio or Vertex AI) or models hosted on Vertex AI endpoints. You typically provide the model name or endpoint resource string directly to the LlmAgent . ADK's internal registry resolves this string to the appropriate backend client, often utilizing the google-genai library. Wrapper Classes: For broader compatibility, especially with models outside the Google ecosystem or those requiring specific client configurations (like models accessed via Apigee or LiteLLM). You instantiate a specific wrapper class (e.g., ApigeeLlm or LiteLlm ) and pass this object as the model parameter to your LlmAgent . The following sections guide you through using these methods based on your needs. Google Gemini models &para; ADK supports the Google Gemini family of generative AI models that provide a powerful set of models with a wide range of features. ADK provides support for many Gemini features, including Code Execution , Google Search , Context caching , Computer use and the Interactions API . Gemini Interactions API &para; Supported in ADK Python v1.21.0 The Gemini Interactions API is an alternative to the generateContent inference API, which provides stateful conversation capabilities, allowing you to chain interactions using a previous_interaction_id instead of sending the full conversation history with each request. Using this feature can be more efficient for long conversations. You can enable the Interactions API by settting the use_interactions_api=True parameter in the Gemini model configuration, as shown in the following code snippet: from google.adk.agents.llm_agent import Agent from google.adk.models.google_llm import Gemini from google.adk.tools.google_search_tool import GoogleSearchTool root_agent = Agent ( model = Gemini ( model = &quot;gemini-2.5-flash&quot; , use_interactions_api = True , # Enable Interactions API ), name = &quot;interactions_test_agent&quot; , tools = [ GoogleSearchTool ( bypass_multi_tools_limit = True ), # Converted to function tool get_current_weather , # Custom function tool ], ) For a complete code sample, see the Interactions API sample . Known limitations &para; The Interactions API does not support mixing custom function calling tools with built-in tools, such as the Google Search , tool, within the same agent. You can work around this limitation by configuring the the built-in tool to operate as a custom tool using the bypass_multi_tools_limit parameter: # Use bypass_multi_tools_limit=True to convert google_search to a function tool GoogleSearchTool ( bypass_multi_tools_limit = True ) In this example, this option converts the built-in google_search to a function calling tool (via GoogleSearchAgentTool), which allows it to work alongside custom function tools. Gemini model authentication &para; This section covers authenticating with Google's Gemini models, either through Google AI Studio for rapid development or Google Cloud Vertex AI for enterprise applications. This is the most direct way to use Google's flagship models within ADK. Integration Method: Once you are authenticated using one of the below methods, you can pass the model's identifier string directly to the model parameter of LlmAgent . Tip The google-genai library, used internally by ADK for Gemini models, can connect through either Google AI Studio or Vertex AI. Model support for voice/video streaming In order to use voice/video streaming in ADK, you will need to use Gemini models that support the Live API. You can find the model ID(s) that support the Gemini Live API in the documentation: Google AI Studio: Gemini Live API Vertex AI: Gemini Live API Google AI Studio &para; This is the simplest method and is recommended for getting started quickly. Authentication Method: API Key Setup: Get an API key: Obtain your key from Google AI Studio . Set environment variables: Create a .env file (Python) or .properties (Java) in your project's root directory and add the following lines. ADK will automatically load this file. export GOOGLE_API_KEY = &quot;YOUR_GOOGLE_API_KEY&quot; export GOOGLE_GENAI_USE_VERTEXAI = FALSE (or) Pass these variables during the model initialization via the Client (see example below). Models: Find all available models on the Google AI for Developers site . Google Cloud Vertex AI &para; For scalable and production-oriented use cases, Vertex AI is the recommended platform. Gemini on Vertex AI supports enterprise-grade features, security, and compliance controls. Based on your development environment and usecase, choose one of the below methods to authenticate . Pre-requisites: A Google Cloud Project with Vertex AI enabled . Method A: User Credentials (for Local Development) &para; Install the gcloud CLI: Follow the official installation instructions . Log in using ADC: This command opens a browser to authenticate your user account for local development. gcloud auth application-default login Set environment variables: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Explicitly tell the library to use Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Models: Find available model IDs in the Vertex AI documentation . Method B: Vertex AI Express Mode &para; Vertex AI Express Mode offers a simplified, API-key-based setup for rapid prototyping. Sign up for Express Mode to get your API key. Set environment variables: export GOOGLE_API_KEY = &quot;PASTE_YOUR_EXPRESS_MODE_API_KEY_HERE&quot; export GOOGLE_GENAI_USE_VERTEXAI = TRUE Method C: Service Account (for Production &amp; Automation) &para; For deployed applications, a service account is the standard method. Create a Service Account and grant it the Vertex AI User role. Provide credentials to your application: On Google Cloud: If you are running the agent in Cloud Run, GKE, VM or other Google Cloud services, the environment can automatically provide the service account credentials. You don't have to create a key file. Elsewhere: Create a service account key file and point to it with an environment variable: export GOOGLE_APPLICATION_CREDENTIALS = &quot;/path/to/your/keyfile.json&quot; Instead of the key file, you can also authenticate the service account using Workload Identity. But this is outside the scope of this guide. Example: Python Go Java from google.adk.agents import LlmAgent # --- Example using a stable Gemini Flash model --- agent_gemini_flash = LlmAgent ( # Use the latest stable Flash model identifier model = &quot;gemini-2.5-flash&quot; , name = &quot;gemini_flash_agent&quot; , instruction = &quot;You are a fast and helpful Gemini assistant.&quot; , # ... other agent parameters ) # --- Example using a powerful Gemini Pro model --- # Note: Always check the official Gemini documentation for the latest model names, # including specific preview versions if needed. Preview models might have # different availability or quota limitations. agent_gemini_pro = LlmAgent ( # Use the latest generally available Pro model identifier model = &quot;gemini-2.5-pro-preview-03-25&quot; , name = &quot;gemini_pro_agent&quot; , instruction = &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , # ... other agent parameters ) import ( &quot;google.golang.org/adk/agent/llmagent&quot; &quot;google.golang.org/adk/model/gemini&quot; &quot;google.golang.org/genai&quot; ) // --- Example using a stable Gemini Flash model --- modelFlash , err := gemini . NewModel ( ctx , &quot;gemini-2.0-flash&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiFlash , err := llmagent . New ( llmagent . Config { // Use the latest stable Flash model identifier Model : modelFlash , Name : &quot;gemini_flash_agent&quot; , Instruction : &quot;You are a fast and helpful Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example using a powerful Gemini Pro model --- // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. modelPro , err := gemini . NewModel ( ctx , &quot;gemini-2.5-pro-preview-03-25&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiPro , err := llmagent . New ( llmagent . Config { // Use the latest generally available Pro model identifier Model : modelPro , Name : &quot;gemini_pro_agent&quot; , Instruction : &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example #1: using a stable Gemini Flash model with ENV variables--- LlmAgent agentGeminiFlash = LlmAgent . builder () // Use the latest stable Flash model identifier . model ( &quot;gemini-2.5-flash&quot; ) // Set ENV variables to use this model . name ( &quot;gemini_flash_agent&quot; ) . instruction ( &quot;You are a fast and helpful Gemini assistant.&quot; ) // ... other agent parameters . build (); // --- Example #2: using a powerful Gemini Pro model with API Key in model --- LlmAgent agentGeminiPro = LlmAgent . builder () // Use the latest generally available Pro model identifier . model ( new Gemini ( &quot;gemini-2.5-pro-preview-03-25&quot; , Client . builder () . vertexAI ( false ) . apiKey ( &quot;API_KEY&quot; ) // Set the API Key (or) project/ location . build ())) // Or, you can also directly pass the API_KEY // .model(new Gemini(&quot;gemini-2.5-pro-preview-03-25&quot;, &quot;API_KEY&quot;)) . name ( &quot;gemini_pro_agent&quot; ) . instruction ( &quot;You are a powerful and knowledgeable Gemini assistant.&quot; ) // ... other agent parameters . build (); // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. Secure Your Credentials Service account credentials or API keys are powerful credentials. Never expose them publicly. Use a secret manager such as Google Cloud Secret Manager to store and access them securely in production. Troubleshooting &para; Error Code 429 - RESOURCE_EXHAUSTED &para; This error usually happens if the number of your requests exceeds the capacity allocated to process requests. To mitigate this, you can do one of the following: Request higher quota limits for the model you are trying to use. Enable client-side retries. Retries allow the client to automatically retry the request after a delay, which can help if the quota issue is temporary. There are two ways you can set retry options: Option 1: Set retry options on the Agent as a part of generate_content_config. You would use this option if you are instantiating this model adapter by yourself. root_agent = Agent ( model = &#39;gemini-2.5-flash&#39; , ... generate_content_config = types . GenerateContentConfig ( ... http_options = types . HttpOptions ( ... retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ... ), ... ) Option 2: Retry options on this model adapter. You would use this option if you were instantiating the instance of adapter by yourself. from google.genai import types # ... agent = Agent ( model = Gemini ( retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ) ) Using Anthropic models &para; Supported in ADK Java v0.2.0 You can integrate Anthropic's Claude models directly using their API key or from a Vertex AI backend into your Java ADK applications by using the ADK's Claude wrapper class. For Vertex AI backend, see the Third-Party Models on Vertex AI section. Prerequisites: Dependencies: Anthropic SDK Classes (Transitive): The Java ADK's com.google.adk.models.Claude wrapper relies on classes from Anthropic's official Java SDK. These are typically included as transitive dependencies . Anthropic API Key: Obtain an API key from Anthropic. Securely manage this key using a secret manager. Integration: Instantiate com.google.adk.models.Claude , providing the desired Claude model name and an AnthropicOkHttpClient configured with your API key. Then, pass this Claude instance to your LlmAgent . Example: import com.anthropic.client.AnthropicClient ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; // From Anthropic&#39;s SDK public class DirectAnthropicAgent { private static final String CLAUDE_MODEL_ID = &quot;claude-3-7-sonnet-latest&quot; ; // Or your preferred Claude model public static LlmAgent createAgent () { // It&#39;s recommended to load sensitive keys from a secure config AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . apiKey ( &quot;ANTHROPIC_API_KEY&quot; ) . build (); Claude claudeModel = new Claude ( CLAUDE_MODEL_ID , anthropicClient ); return LlmAgent . builder () . name ( &quot;claude_direct_agent&quot; ) . model ( claudeModel ) . instruction ( &quot;You are a helpful AI assistant powered by Anthropic Claude.&quot; ) // ... other LlmAgent configurations . build (); } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created direct Anthropic agent: &quot; + agent . name ()); } catch ( IllegalStateException e ) { System . err . println ( &quot;Error creating agent: &quot; + e . getMessage ()); } } } Using Apigee gateway for AI models &para; Supported in ADK Python v1.18.0 Java v0.4.0 Apigee acts as a powerful AI Gateway , transforming how you manage and govern your generative AI model traffic. By exposing your AI model endpoint (like Vertex AI or the Gemini API) through an Apigee proxy, you immediately gain enterprise-grade capabilities: Model Safety: Implement security policies like Model Armor for threat protection. Traffic Governance: Enforce Rate Limiting and Token Limiting to manage costs and prevent abuse. Performance: Improve response times and efficiency using Semantic Caching and advanced model routing. Monitoring &amp; Visibility: Get granular monitoring, analysis, and auditing of all your AI requests. NOTE: The ApigeeLLM wrapper is currently designed for use with Vertex AI and the Gemini API (generateContent). We are continually expanding support for other models and interfaces. Integration Method: To integrate Apigee's governance into your agent's workflow, simply instantiate the ApigeeLlm wrapper and pass it to an LlmAgent or other agent type. Example: Python Java from google.adk.agents import LlmAgent from google.adk.models.apigee_llm import ApigeeLlm # Instantiate the ApigeeLlm wrapper model = ApigeeLlm ( # Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation (https://github.com/google/adk-python/tree/main/contributing/samples/hello_world_apigeellm). model = &quot;apigee/gemini-2.5-flash&quot; , # The proxy URL of your deployed Apigee proxy including the base path proxy_url = f &quot;https:// { APIGEE_PROXY_URL } &quot; , # Pass necessary authentication/authorization headers (like an API key) custom_headers = { &quot;foo&quot; : &quot;bar&quot; } ) # Pass the configured model wrapper to your LlmAgent agent = LlmAgent ( model = model , name = &quot;my_governed_agent&quot; , instruction = &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; , # ... other agent parameters ) import com.google.adk.agents.LlmAgent ; import com.google.adk.models.ApigeeLlm ; import com.google.common.collect.ImmutableMap ; ApigeeLlm apigeeLlm = ApigeeLlm . builder () . modelName ( &quot;apigee/gemini-2.5-flash&quot; ) // Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation . proxyUrl ( APIGEE_PROXY_URL ) //The proxy URL of your deployed Apigee proxy including the base path . customHeaders ( ImmutableMap . of ( &quot;foo&quot; , &quot;bar&quot; )) //Pass necessary authentication/authorization headers (like an API key) . build (); LlmAgent agent = LlmAgent . builder () . model ( apigeeLlm ) . name ( &quot;my_governed_agent&quot; ) . description ( &quot;my_governed_agent&quot; ) . instruction ( &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; ) // tools will be added next . build (); With this configuration, every API call from your agent will be routed through Apigee first, where all necessary policies (security, rate limiting, logging) are executed before the request is securely forwarded to the underlying AI model endpoint. For a full code example using the Apigee proxy, see Hello World Apigee LLM Using Cloud &amp; Proprietary Models via LiteLLM &para; Supported in ADK Python v0.1.0 To access a vast range of LLMs from providers like OpenAI, Anthropic (non-Vertex AI), Cohere, and many others, ADK offers integration through the LiteLLM library. Integration Method: Instantiate the LiteLlm wrapper class and pass it to the model parameter of LlmAgent . LiteLLM Overview: LiteLLM acts as a translation layer, providing a standardized, OpenAI-compatible interface to over 100+ LLMs. Setup: Install LiteLLM: pip install litellm Set Provider API Keys: Configure API keys as environment variables for the specific providers you intend to use. Example for OpenAI: export OPENAI_API_KEY = &quot;YOUR_OPENAI_API_KEY&quot; Example for Anthropic (non-Vertex AI): export ANTHROPIC_API_KEY = &quot;YOUR_ANTHROPIC_API_KEY&quot; Consult the LiteLLM Providers Documentation for the correct environment variable names for other providers. Example: from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using OpenAI&#39;s GPT-4o --- # (Requires OPENAI_API_KEY) agent_openai = LlmAgent ( model = LiteLlm ( model = &quot;openai/gpt-4o&quot; ), # LiteLLM model string format name = &quot;openai_agent&quot; , instruction = &quot;You are a helpful assistant powered by GPT-4o.&quot; , # ... other agent parameters ) # --- Example Agent using Anthropic&#39;s Claude Haiku (non-Vertex) --- # (Requires ANTHROPIC_API_KEY) agent_claude_direct = LlmAgent ( model = LiteLlm ( model = &quot;anthropic/claude-3-haiku-20240307&quot; ), name = &quot;claude_direct_agent&quot; , instruction = &quot;You are an assistant powered by Claude Haiku.&quot; , # ... other agent parameters ) Windows Encoding Note for LiteLLM When using ADK agents with LiteLLM on Windows, you might encounter a UnicodeDecodeError . This error occurs because LiteLLM may attempt to read cached files using the default Windows encoding ( cp1252 ) instead of UTF-8. To prevent this, we recommend setting the PYTHONUTF8 environment variable to 1 . This forces Python to use UTF-8 for all file I/O. Example (PowerShell): # Set for the current session $env:PYTHONUTF8 = &quot;1&quot; # Set persistently for the user [System.Environment] :: SetEnvironmentVariable ( &#39;PYTHONUTF8&#39; , &#39;1&#39; , [System.EnvironmentVariableTarget] :: User ) Using Open &amp; Local Models via LiteLLM &para; Supported in ADK Python v0.1.0 For maximum control, cost savings, privacy, or offline use cases, you can run open-source models locally or self-host them and integrate them using LiteLLM. Integration Method: Instantiate the LiteLlm wrapper class, configured to point to your local model server. Ollama Integration &para; Ollama allows you to easily run open-source models locally. Model choice &para; If your agent is relying on tools, please make sure that you select a model with tool support from Ollama website . For reliable results, we recommend using a decent-sized model with tool support. The tool support for the model can be checked with the following command: ollama show mistral-small3.1 Model architecture mistral3 parameters 24 .0B context length 131072 embedding length 5120 quantization Q4_K_M Capabilities completion vision tools You are supposed to see tools listed under capabilities. You can also look at the template the model is using and tweak it based on your needs. ollama show --modelfile llama3.2 &gt; model_file_to_modify For instance, the default template for the above model inherently suggests that the model shall call a function all the time. This may result in an infinite loop of function calls. Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. Respond in the format {&quot;name&quot;: function name, &quot;parameters&quot;: dictionary of argument name and its value}. Do not use variables. You can swap such prompts with a more descriptive one to prevent infinite tool call loops. For instance: Review the user&#39;s prompt and the available functions listed below. First, determine if calling one of these functions is the most appropriate way to respond. A function call is likely needed if the prompt asks for a specific action, requires external data lookup, or involves calculations handled by the functions. If the prompt is a general question or can be answered directly, a function call is likely NOT needed. If you determine a function call IS required: Respond ONLY with a JSON object in the format {&quot;name&quot;: &quot;function_name&quot;, &quot;parameters&quot;: {&quot;argument_name&quot;: &quot;value&quot;}}. Ensure parameter values are concrete, not variables. If you determine a function call IS NOT required: Respond directly to the user&#39;s prompt in plain text, providing the answer or information requested. Do not output any JSON. Then you can create a new model with the following command: ollama create llama3.2-modified -f model_file_to_modify Using ollama_chat provider &para; Our LiteLLM wrapper can be used to create agents with Ollama models. root_agent = Agent ( model = LiteLlm ( model = &quot;ollama_chat/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) It is important to set the provider ollama_chat instead of ollama . Using ollama will result in unexpected behaviors such as infinite tool call loops and ignoring previous context. While api_base can be provided inside LiteLLM for generation, LiteLLM library is calling other APIs relying on the env variable instead as of v1.65.5 after completion. So at this time, we recommend setting the env variable OLLAMA_API_BASE to point to the ollama server. export OLLAMA_API_BASE = &quot;http://localhost:11434&quot; adk web Using openai provider &para; Alternatively, openai can be used as the provider name. But this will also require setting the OPENAI_API_BASE=http://localhost:11434/v1 and OPENAI_API_KEY=anything env variables instead of OLLAMA_API_BASE . Please note that api base now has /v1 at the end. root_agent = Agent ( model = LiteLlm ( model = &quot;openai/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) export OPENAI_API_BASE = http://localhost:11434/v1 export OPENAI_API_KEY = anything adk web Debugging &para; You can see the request sent to the Ollama server by adding the following in your agent code just after imports. import litellm litellm . _turn_on_debug () Look for a line like the following: Request Sent from LiteLLM: curl -X POST \ http://localhost:11434/api/chat \ -d &#39;{&#39; model &#39;: &#39; mistral-small3.1 &#39;, &#39; messages &#39;: [{&#39; role &#39;: &#39; system &#39;, &#39; content &#39; : ... Self-Hosted Endpoint (e.g., vLLM) &para; Supported in ADK Python Tools such as vLLM allow you to host models efficiently and often expose an OpenAI-compatible API endpoint. Setup: Deploy Model: Deploy your chosen model using vLLM (or a similar tool). Note the API base URL (e.g., https://your-vllm-endpoint.run.app/v1 ). Important for ADK Tools: When deploying, ensure the serving tool supports and enables OpenAI-compatible tool/function calling. For vLLM, this might involve flags like --enable-auto-tool-choice and potentially a specific --tool-call-parser , depending on the model. Refer to the vLLM documentation on Tool Use. Authentication: Determine how your endpoint handles authentication (e.g., API key, bearer token). Integration Example: import subprocess from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using a model hosted on a vLLM endpoint --- # Endpoint URL provided by your vLLM deployment api_base_url = &quot;https://your-vllm-endpoint.run.app/v1&quot; # Model name as recognized by *your* vLLM endpoint configuration model_name_at_endpoint = &quot;hosted_vllm/google/gemma-3-4b-it&quot; # Example from vllm_test.py # Authentication (Example: using gcloud identity token for a Cloud Run deployment) # Adapt this based on your endpoint&#39;s security try : gcloud_token = subprocess . check_output ( [ &quot;gcloud&quot; , &quot;auth&quot; , &quot;print-identity-token&quot; , &quot;-q&quot; ] ) . decode () . strip () auth_headers = { &quot;Authorization&quot; : f &quot;Bearer { gcloud_token } &quot; } except Exception as e : print ( f &quot;Warning: Could not get gcloud token - { e } . Endpoint might be unsecured or require different auth.&quot; ) auth_headers = None # Or handle error appropriately agent_vllm = LlmAgent ( model = LiteLlm ( model = model_name_at_endpoint , api_base = api_base_url , # Pass authentication headers if needed extra_headers = auth_headers # Alternatively, if endpoint uses an API key: # api_key=&quot;YOUR_ENDPOINT_API_KEY&quot; ), name = &quot;vllm_agent&quot; , instruction = &quot;You are a helpful assistant running on a self-hosted vLLM endpoint.&quot; , # ... other agent parameters ) Using Hosted &amp; Tuned Models on Vertex AI &para; For enterprise-grade scalability, reliability, and integration with Google Cloud's MLOps ecosystem, you can use models deployed to Vertex AI Endpoints. This includes models from Model Garden or your own fine-tuned models. Integration Method: Pass the full Vertex AI Endpoint resource string ( projects/PROJECT_ID/locations/LOCATION/endpoints/ENDPOINT_ID ) directly to the model parameter of LlmAgent . Vertex AI Setup (Consolidated): Ensure your environment is configured for Vertex AI: Authentication: Use Application Default Credentials (ADC): gcloud auth application-default login Environment Variables: Set your project and location: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Enable Vertex Backend: Crucially, ensure the google-genai library targets Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Model Garden Deployments &para; Supported in ADK Python v0.2.0 You can deploy various open and proprietary models from the Vertex AI Model Garden to an endpoint. Example: from google.adk.agents import LlmAgent from google.genai import types # For config objects # --- Example Agent using a Llama 3 model deployed from Model Garden --- # Replace with your actual Vertex AI Endpoint resource name llama3_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_LLAMA3_ENDPOINT_ID&quot; agent_llama3_vertex = LlmAgent ( model = llama3_endpoint , name = &quot;llama3_vertex_agent&quot; , instruction = &quot;You are a helpful assistant based on Llama 3, hosted on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 2048 ), # ... other agent parameters ) Fine-tuned Model Endpoints &para; Supported in ADK Python v0.2.0 Deploying your fine-tuned models (whether based on Gemini or other architectures supported by Vertex AI) results in an endpoint that can be used directly. Example: from google.adk.agents import LlmAgent # --- Example Agent using a fine-tuned Gemini model endpoint --- # Replace with your fine-tuned model&#39;s endpoint resource name finetuned_gemini_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_FINETUNED_ENDPOINT_ID&quot; agent_finetuned_gemini = LlmAgent ( model = finetuned_gemini_endpoint , name = &quot;finetuned_gemini_agent&quot; , instruction = &quot;You are a specialized assistant trained on specific data.&quot; , # ... other agent parameters ) Third-Party Models on Vertex AI (e.g., Anthropic Claude) &para; Some providers, like Anthropic, make their models available directly through Vertex AI. Python Java Integration Method: Uses the direct model string (e.g., "claude-3-sonnet@20240229" ), but requires manual registration within ADK. Why Registration? ADK's registry automatically recognizes gemini-* strings and standard Vertex AI endpoint strings ( projects/.../endpoints/... ) and routes them via the google-genai library. For other model types used directly via Vertex AI (like Claude), you must explicitly tell the ADK registry which specific wrapper class ( Claude in this case) knows how to handle that model identifier string with the Vertex AI backend. Setup: Vertex AI Environment: Ensure the consolidated Vertex AI setup (ADC, Env Vars, GOOGLE_GENAI_USE_VERTEXAI=TRUE ) is complete. Install Provider Library: Install the necessary client library configured for Vertex AI. pip install &quot;anthropic[vertex]&quot; Register Model Class: Add this code near the start of your application, before creating an agent using the Claude model string: # Required for using Claude model strings directly via Vertex AI with LlmAgent from google.adk.models.anthropic_llm import Claude from google.adk.models.registry import LLMRegistry LLMRegistry . register ( Claude ) Example: from google.adk.agents import LlmAgent from google.adk.models.anthropic_llm import Claude # Import needed for registration from google.adk.models.registry import LLMRegistry # Import needed for registration from google.genai import types # --- Register Claude class (do this once at startup) --- LLMRegistry . register ( Claude ) # --- Example Agent using Claude 3 Sonnet on Vertex AI --- # Standard model name for Claude 3 Sonnet on Vertex AI claude_model_vertexai = &quot;claude-3-sonnet@20240229&quot; agent_claude_vertexai = LlmAgent ( model = claude_model_vertexai , # Pass the direct string after registration name = &quot;claude_vertexai_agent&quot; , instruction = &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 4096 ), # ... other agent parameters ) Integration Method: Directly instantiate the provider-specific model class (e.g., com.google.adk.models.Claude ) and configure it with a Vertex AI backend. Why Direct Instantiation? The Java ADK's LlmRegistry primarily handles Gemini models by default. For third-party models like Claude on Vertex AI, you directly provide an instance of the ADK's wrapper class (e.g., Claude ) to the LlmAgent . This wrapper class is responsible for interacting with the model via its specific client library, configured for Vertex AI. Setup: Vertex AI Environment: Ensure your Google Cloud project and region are correctly set up. Application Default Credentials (ADC): Make sure ADC is configured correctly in your environment. This is typically done by running gcloud auth application-default login . The Java client libraries will use these credentials to authenticate with Vertex AI. Follow the Google Cloud Java documentation on ADC for detailed setup. Provider Library Dependencies: Third-Party Client Libraries (Often Transitive): The ADK core library often includes the necessary client libraries for common third-party models on Vertex AI (like Anthropic's required classes) as transitive dependencies . This means you might not need to explicitly add a separate dependency for the Anthropic Vertex SDK in your pom.xml or build.gradle . Instantiate and Configure the Model: When creating your LlmAgent , instantiate the Claude class (or the equivalent for another provider) and configure its VertexBackend . Example: import com.anthropic.client.AnthropicClient ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; import com.anthropic.vertex.backends.VertexBackend ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; // ADK&#39;s wrapper for Claude import com.google.auth.oauth2.GoogleCredentials ; import java.io.IOException ; // ... other imports public class ClaudeVertexAiAgent { public static LlmAgent createAgent () throws IOException { // Model name for Claude 3 Sonnet on Vertex AI (or other versions) String claudeModelVertexAi = &quot;claude-3-7-sonnet&quot; ; // Or any other Claude model // Configure the AnthropicOkHttpClient with the VertexBackend AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . backend ( VertexBackend . builder () . region ( &quot;us-east5&quot; ) // Specify your Vertex AI region . project ( &quot;your-gcp-project-id&quot; ) // Specify your GCP Project ID . googleCredentials ( GoogleCredentials . getApplicationDefault ()) . build ()) . build (); // Instantiate LlmAgent with the ADK Claude wrapper LlmAgent agentClaudeVertexAi = LlmAgent . builder () . model ( new Claude ( claudeModelVertexAi , anthropicClient )) // Pass the Claude instance . name ( &quot;claude_vertexai_agent&quot; ) . instruction ( &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; ) // .generateContentConfig(...) // Optional: Add generation config if needed // ... other agent parameters . build (); return agentClaudeVertexAi ; } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created agent: &quot; + agent . name ()); // Here you would typically set up a Runner and Session to interact with the agent } catch ( IOException e ) { System . err . println ( &quot;Failed to create agent: &quot; + e . getMessage ()); e . printStackTrace (); } } } Back to top Previous Agent Config Next Tools for Agents Copyright Google 2025&nbsp;&nbsp;|&nbsp;&nbsp; Terms &nbsp;&nbsp;|&nbsp;&nbsp; Privacy &nbsp;&nbsp;|&nbsp;&nbsp; Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. 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2026-01-13T09:29:39
https://creativecommons.org/2017/12/08/network-strategy-transition-towards-new-model/
Network Strategy: the transition towards a new model - Creative Commons Skip to content Creative Commons Menu Who We Are What We Do Licenses and Tools Blog Support Us English --> Search Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. --> Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Global Summit Attend our annual event, promoting the power of open licensing Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Open Source Help us build products that maximize creativity and innovation Help us protect the commons. Make a tax deductible gift to fund our work. Donate today! Network Strategy: the transition towards a new model by Claudio Ruiz lead in paragraph --> Uncategorized --> In June we shared our community plan to implement the new CC Network Strategy, showing the benefits of a new international structure with an enhanced Chapter model, working together at a global scale with the Network Platforms, and a new governance structure to support the network. The Creative Commons network has always been one of the critical pieces of the success of the CC licenses. At the outset, CC was mostly a legal project trying to reach a global audience of users and creators. Years later, our community required new ways of working together, with projects and advocacy and education playing a bigger role, and enhanced means of communication and collaboration as central to the community. The new Network Strategy, written collaboratively by community members, was the primary outcome of a process for change and adaptation begun at the CC Summit in Seoul, in October, 2015. Implementing the strategy properly, with all the needed infrastructure, has been a big task. While the first network grew organically over many years, this one is being designed deliberately on concrete timelines. It has involved our web dev staff, legal review, communications, and lots of work from the Advisory Group team. It has been more complex than anyone thought, but we&#8217;re proud of what we&#8217;ve done to bring it together. We want to get it right for all of you, and we think we’ve done significant work that will serve the network well, and avoid problems in the future. What we have done: We created a suite of documentation for the Network Strategy transition. A Guide for vouching applicants . This document provides guidance about what to take into account at the moment of deciding to vouch for someone to join the Network A Guide for approving new members . This guides members of the Membership Council regarding criteria for approving already vouched applicants. Chapter Standards and Guidelines . This document provides a more detailed explanation of how Chapters should organize, indicating standards, responsibilities, membership, and examples of what else a Chapter can do. An updated Charter . Minor updates, but we improved the language of policies and established a better way to make future changes. We also created an official version available on the CC website. We built a brand-new network website and member application and management infrastructure. We have implemented BuddyPress as a backend to manage members and their applications, and we have been creating brand new plugins to support the entire process of application, vouching and approval within the website. This has been a massive project for design and development. We expect this to be the &#8220;door&#8221; for people who want to be connected with the CC community in any capacity (including membership). So, we are creating ways to make people feel welcomed and driving them to different ways to be engaged with CC. We massively updated Terms of services and Privacy Policies . This was an intended consequence of the new Strategy. We created brand new ToS for the Network website and also radically changed our entire Privacy Policy, not just to comply with the requirements of the whole memberships/vouching system, but also to update it after some years of use. All of this work is vital, but it has required us to stretch our original timelines. We will now open up memberships a bit later, and will as a result also extend the time before the first GNC meeting to allow chapters to form, meet, and select their representatives. What we are doing here is massive and will significantly grow the network. We&#8217;re grateful for all your work and energy. We want to do everything right, and we prefer to launch with everything in place and to be ready to communicate to the world what we are doing, inviting all to be part of this process. What’s next: We are shifting the timelines. We are finishing the design and backend of the Network website by mid-December. We start communicating more broadly in December and early January, and will open membership on January 15th. The window for the first Chapter meeting will be in March 2018. The first Global Network Council meeting will be after the Summit — it will not be during the summit, as we had initially imagined. We will use the Summit to advance the core work of Network Platforms and Working Groups, which are open to everyone, for community discussions and chapter meetups, and to engage new members. We will also use the Summit to advance into conversations about governance and the Network. We plan to have the first GNC meeting by May/June 2018. The Global Summit will celebrate the CC Network and the affiliate teams that built the CC community we have today. It will be a great moment to celebrate what we achieved during all these years and what brings us together, as we move into the future. We expect this Summit to be a place to share ideas and strategies to improve -and fight for- the commons at a global scale. The new timeline means we will have more time to prepare for this big change – more time to talk with your local peers, host more meetings and conferences, and maintain better and more impactful projects. From now to the Summit, we will continue supporting activities around the globe with our Activities Fund.  We encourage you to keep advocating for openness in your communities and to consider joining the network as soon as we are &#8220;open&#8221; for members. &nbsp; Posted 08 December 2017 Tags Affiliate Network (defunct) Global Network network strategy Related posts Recap &#038; Recording: Maximizing the Value(s) of Open Access in Cultural Heritage Institutions by Brigitte Vézina , Jocelyn Miyara , Connor Benedict Uncategorized CC Certificate Translations in Slovak, Bengali, and localized French by Jennryn Wetzler , Shanna Hollich CC Certificate , Community , Open Education , Uncategorized CC’s #BetterSharing Collection | November: Shared Knowledge, Shared Future by Corrine Murray Uncategorized Introducing the Newest CC Chapter, CC Czech Republic! 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2026-01-13T09:29:39
https://marketplace.atlassian.com/apps/1213138/microsoft-365-for-jira-outlook-email-teams-calendar/version-history
Microsoft 365 for Jira (Outlook Email, Teams, Calendar) - Version history | Atlassian Marketplace | Atlassian Marketplace For a better experience, update to Internet Explorer 11 or later, or use a different browser. . Your browser is incompatible, so things might not work properly. Skip to: Skip to Main content Marketplace Works with Categories Resources Regulated sectors Sign in Microsoft 365 for Jira (Outlook Email, Teams, Calendar) View app details Watch app Version history Filter Hosting Showing 1-15 of 66 Server and 72 Datacenter releases Version Compatibility Release date Release summary Expand row 8.0.3 8.0.3 Jira Data Center 11.0.0 - 11.3.1 2026-01-05 Bugfix release Expand row 8.0.2 8.0.2 Jira Data Center 11.0.0 - 11.3.1 2025-11-06 Bugfix release Expand row 8.0.1 8.0.1 Jira Data Center 11.0.0 - 11.1.1 2025-10-30 Bugfix release Expand row 8.0.0 8.0.0 Jira Data Center 11.0.0 - 11.1.1 2025-10-09 Jira 11 compatibility Expand row 7.6.3 7.6.3 Jira Data Center 10.0.0 - 10.7.4 2026-01-05 Bugfix release Expand row 7.6.2 7.6.2 Jira Data Center 10.0.0 - 10.7.4 2025-11-06 Bugfix release Expand row 7.6.1 7.6.1 Jira Data Center 10.0.0 - 10.7.4 2025-10-30 Bugfix release Expand row 7.6.0 7.6.0 Jira Data Center 10.0.0 - 10.7.4 2025-10-09 Bugfix release Expand row 7.5.1 7.5.1 Jira Data Center 10.0.0 - 10.7.4 2025-10-09 Bugfix release Expand row 7.5.0 7.5.0 Jira Data Center 10.0.0 - 10.7.4 2025-09-17 Bugfix release Expand row 7.4.0 7.4.0 Jira Data Center 10.0.0 - 10.7.4 2025-05-23 Bugfix release Expand row 7.3.0 7.3.0 Jira Data Center 10.0.0 - 10.6.1 2025-03-21 Bugfix release Expand row 7.3.0 7.3.0 Jira Server 10.0.0 - 10.5.1 2025-03-21 Bugfix release Expand row 7.2.0 7.2.0 Jira Data Center 10.0.0 - 10.4.1 2025-01-30 Bugfix release Expand row 7.2.0 7.2.0 Jira Server 10.0.0 - 10.4.1 2025-01-30 Bugfix release Load more versions Learn and explore What’s Marketplace App installation About Atlassian Atlassian resources Search and ranking Atlassian events Atlassian foundation Connect Get support Partner connect Developer resources Solution partner directory Atlassian communication channels Follow Privacy Policy Terms of Use Copyright © 2026 Atlassian
2026-01-13T09:29:39
https://google.github.io/adk-docs/agents/models/#method-a-user-credentials-for-local-development
Models & Authentication - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Models & Authentication Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Models & Authentication Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Build Agents Agents Using Different Models with ADK &para; Supported in ADK Python v0.1.0 Typescript v0.2.0 Go v0.1.0 Java v0.1.0 The Agent Development Kit (ADK) is designed for flexibility, allowing you to integrate various Large Language Models (LLMs) into your agents. While the setup for Google Gemini models is covered in the Setup Foundation Models guide, this page details how to leverage Gemini effectively and integrate other popular models, including those hosted externally or running locally. ADK primarily uses two mechanisms for model integration: Direct String / Registry: For models tightly integrated with Google Cloud (like Gemini models accessed via Google AI Studio or Vertex AI) or models hosted on Vertex AI endpoints. You typically provide the model name or endpoint resource string directly to the LlmAgent . ADK's internal registry resolves this string to the appropriate backend client, often utilizing the google-genai library. Wrapper Classes: For broader compatibility, especially with models outside the Google ecosystem or those requiring specific client configurations (like models accessed via Apigee or LiteLLM). You instantiate a specific wrapper class (e.g., ApigeeLlm or LiteLlm ) and pass this object as the model parameter to your LlmAgent . The following sections guide you through using these methods based on your needs. Google Gemini models &para; ADK supports the Google Gemini family of generative AI models that provide a powerful set of models with a wide range of features. ADK provides support for many Gemini features, including Code Execution , Google Search , Context caching , Computer use and the Interactions API . Gemini Interactions API &para; Supported in ADK Python v1.21.0 The Gemini Interactions API is an alternative to the generateContent inference API, which provides stateful conversation capabilities, allowing you to chain interactions using a previous_interaction_id instead of sending the full conversation history with each request. Using this feature can be more efficient for long conversations. You can enable the Interactions API by settting the use_interactions_api=True parameter in the Gemini model configuration, as shown in the following code snippet: from google.adk.agents.llm_agent import Agent from google.adk.models.google_llm import Gemini from google.adk.tools.google_search_tool import GoogleSearchTool root_agent = Agent ( model = Gemini ( model = &quot;gemini-2.5-flash&quot; , use_interactions_api = True , # Enable Interactions API ), name = &quot;interactions_test_agent&quot; , tools = [ GoogleSearchTool ( bypass_multi_tools_limit = True ), # Converted to function tool get_current_weather , # Custom function tool ], ) For a complete code sample, see the Interactions API sample . Known limitations &para; The Interactions API does not support mixing custom function calling tools with built-in tools, such as the Google Search , tool, within the same agent. You can work around this limitation by configuring the the built-in tool to operate as a custom tool using the bypass_multi_tools_limit parameter: # Use bypass_multi_tools_limit=True to convert google_search to a function tool GoogleSearchTool ( bypass_multi_tools_limit = True ) In this example, this option converts the built-in google_search to a function calling tool (via GoogleSearchAgentTool), which allows it to work alongside custom function tools. Gemini model authentication &para; This section covers authenticating with Google's Gemini models, either through Google AI Studio for rapid development or Google Cloud Vertex AI for enterprise applications. This is the most direct way to use Google's flagship models within ADK. Integration Method: Once you are authenticated using one of the below methods, you can pass the model's identifier string directly to the model parameter of LlmAgent . Tip The google-genai library, used internally by ADK for Gemini models, can connect through either Google AI Studio or Vertex AI. Model support for voice/video streaming In order to use voice/video streaming in ADK, you will need to use Gemini models that support the Live API. You can find the model ID(s) that support the Gemini Live API in the documentation: Google AI Studio: Gemini Live API Vertex AI: Gemini Live API Google AI Studio &para; This is the simplest method and is recommended for getting started quickly. Authentication Method: API Key Setup: Get an API key: Obtain your key from Google AI Studio . Set environment variables: Create a .env file (Python) or .properties (Java) in your project's root directory and add the following lines. ADK will automatically load this file. export GOOGLE_API_KEY = &quot;YOUR_GOOGLE_API_KEY&quot; export GOOGLE_GENAI_USE_VERTEXAI = FALSE (or) Pass these variables during the model initialization via the Client (see example below). Models: Find all available models on the Google AI for Developers site . Google Cloud Vertex AI &para; For scalable and production-oriented use cases, Vertex AI is the recommended platform. Gemini on Vertex AI supports enterprise-grade features, security, and compliance controls. Based on your development environment and usecase, choose one of the below methods to authenticate . Pre-requisites: A Google Cloud Project with Vertex AI enabled . Method A: User Credentials (for Local Development) &para; Install the gcloud CLI: Follow the official installation instructions . Log in using ADC: This command opens a browser to authenticate your user account for local development. gcloud auth application-default login Set environment variables: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Explicitly tell the library to use Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Models: Find available model IDs in the Vertex AI documentation . Method B: Vertex AI Express Mode &para; Vertex AI Express Mode offers a simplified, API-key-based setup for rapid prototyping. Sign up for Express Mode to get your API key. Set environment variables: export GOOGLE_API_KEY = &quot;PASTE_YOUR_EXPRESS_MODE_API_KEY_HERE&quot; export GOOGLE_GENAI_USE_VERTEXAI = TRUE Method C: Service Account (for Production &amp; Automation) &para; For deployed applications, a service account is the standard method. Create a Service Account and grant it the Vertex AI User role. Provide credentials to your application: On Google Cloud: If you are running the agent in Cloud Run, GKE, VM or other Google Cloud services, the environment can automatically provide the service account credentials. You don't have to create a key file. Elsewhere: Create a service account key file and point to it with an environment variable: export GOOGLE_APPLICATION_CREDENTIALS = &quot;/path/to/your/keyfile.json&quot; Instead of the key file, you can also authenticate the service account using Workload Identity. But this is outside the scope of this guide. Example: Python Go Java from google.adk.agents import LlmAgent # --- Example using a stable Gemini Flash model --- agent_gemini_flash = LlmAgent ( # Use the latest stable Flash model identifier model = &quot;gemini-2.5-flash&quot; , name = &quot;gemini_flash_agent&quot; , instruction = &quot;You are a fast and helpful Gemini assistant.&quot; , # ... other agent parameters ) # --- Example using a powerful Gemini Pro model --- # Note: Always check the official Gemini documentation for the latest model names, # including specific preview versions if needed. Preview models might have # different availability or quota limitations. agent_gemini_pro = LlmAgent ( # Use the latest generally available Pro model identifier model = &quot;gemini-2.5-pro-preview-03-25&quot; , name = &quot;gemini_pro_agent&quot; , instruction = &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , # ... other agent parameters ) import ( &quot;google.golang.org/adk/agent/llmagent&quot; &quot;google.golang.org/adk/model/gemini&quot; &quot;google.golang.org/genai&quot; ) // --- Example using a stable Gemini Flash model --- modelFlash , err := gemini . NewModel ( ctx , &quot;gemini-2.0-flash&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiFlash , err := llmagent . New ( llmagent . Config { // Use the latest stable Flash model identifier Model : modelFlash , Name : &quot;gemini_flash_agent&quot; , Instruction : &quot;You are a fast and helpful Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example using a powerful Gemini Pro model --- // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. modelPro , err := gemini . NewModel ( ctx , &quot;gemini-2.5-pro-preview-03-25&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiPro , err := llmagent . New ( llmagent . Config { // Use the latest generally available Pro model identifier Model : modelPro , Name : &quot;gemini_pro_agent&quot; , Instruction : &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example #1: using a stable Gemini Flash model with ENV variables--- LlmAgent agentGeminiFlash = LlmAgent . builder () // Use the latest stable Flash model identifier . model ( &quot;gemini-2.5-flash&quot; ) // Set ENV variables to use this model . name ( &quot;gemini_flash_agent&quot; ) . instruction ( &quot;You are a fast and helpful Gemini assistant.&quot; ) // ... other agent parameters . build (); // --- Example #2: using a powerful Gemini Pro model with API Key in model --- LlmAgent agentGeminiPro = LlmAgent . builder () // Use the latest generally available Pro model identifier . model ( new Gemini ( &quot;gemini-2.5-pro-preview-03-25&quot; , Client . builder () . vertexAI ( false ) . apiKey ( &quot;API_KEY&quot; ) // Set the API Key (or) project/ location . build ())) // Or, you can also directly pass the API_KEY // .model(new Gemini(&quot;gemini-2.5-pro-preview-03-25&quot;, &quot;API_KEY&quot;)) . name ( &quot;gemini_pro_agent&quot; ) . instruction ( &quot;You are a powerful and knowledgeable Gemini assistant.&quot; ) // ... other agent parameters . build (); // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. Secure Your Credentials Service account credentials or API keys are powerful credentials. Never expose them publicly. Use a secret manager such as Google Cloud Secret Manager to store and access them securely in production. Troubleshooting &para; Error Code 429 - RESOURCE_EXHAUSTED &para; This error usually happens if the number of your requests exceeds the capacity allocated to process requests. To mitigate this, you can do one of the following: Request higher quota limits for the model you are trying to use. Enable client-side retries. Retries allow the client to automatically retry the request after a delay, which can help if the quota issue is temporary. There are two ways you can set retry options: Option 1: Set retry options on the Agent as a part of generate_content_config. You would use this option if you are instantiating this model adapter by yourself. root_agent = Agent ( model = &#39;gemini-2.5-flash&#39; , ... generate_content_config = types . GenerateContentConfig ( ... http_options = types . HttpOptions ( ... retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ... ), ... ) Option 2: Retry options on this model adapter. You would use this option if you were instantiating the instance of adapter by yourself. from google.genai import types # ... agent = Agent ( model = Gemini ( retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ) ) Using Anthropic models &para; Supported in ADK Java v0.2.0 You can integrate Anthropic's Claude models directly using their API key or from a Vertex AI backend into your Java ADK applications by using the ADK's Claude wrapper class. For Vertex AI backend, see the Third-Party Models on Vertex AI section. Prerequisites: Dependencies: Anthropic SDK Classes (Transitive): The Java ADK's com.google.adk.models.Claude wrapper relies on classes from Anthropic's official Java SDK. These are typically included as transitive dependencies . Anthropic API Key: Obtain an API key from Anthropic. Securely manage this key using a secret manager. Integration: Instantiate com.google.adk.models.Claude , providing the desired Claude model name and an AnthropicOkHttpClient configured with your API key. Then, pass this Claude instance to your LlmAgent . Example: import com.anthropic.client.AnthropicClient ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; // From Anthropic&#39;s SDK public class DirectAnthropicAgent { private static final String CLAUDE_MODEL_ID = &quot;claude-3-7-sonnet-latest&quot; ; // Or your preferred Claude model public static LlmAgent createAgent () { // It&#39;s recommended to load sensitive keys from a secure config AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . apiKey ( &quot;ANTHROPIC_API_KEY&quot; ) . build (); Claude claudeModel = new Claude ( CLAUDE_MODEL_ID , anthropicClient ); return LlmAgent . builder () . name ( &quot;claude_direct_agent&quot; ) . model ( claudeModel ) . instruction ( &quot;You are a helpful AI assistant powered by Anthropic Claude.&quot; ) // ... other LlmAgent configurations . build (); } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created direct Anthropic agent: &quot; + agent . name ()); } catch ( IllegalStateException e ) { System . err . println ( &quot;Error creating agent: &quot; + e . getMessage ()); } } } Using Apigee gateway for AI models &para; Supported in ADK Python v1.18.0 Java v0.4.0 Apigee acts as a powerful AI Gateway , transforming how you manage and govern your generative AI model traffic. By exposing your AI model endpoint (like Vertex AI or the Gemini API) through an Apigee proxy, you immediately gain enterprise-grade capabilities: Model Safety: Implement security policies like Model Armor for threat protection. Traffic Governance: Enforce Rate Limiting and Token Limiting to manage costs and prevent abuse. Performance: Improve response times and efficiency using Semantic Caching and advanced model routing. Monitoring &amp; Visibility: Get granular monitoring, analysis, and auditing of all your AI requests. NOTE: The ApigeeLLM wrapper is currently designed for use with Vertex AI and the Gemini API (generateContent). We are continually expanding support for other models and interfaces. Integration Method: To integrate Apigee's governance into your agent's workflow, simply instantiate the ApigeeLlm wrapper and pass it to an LlmAgent or other agent type. Example: Python Java from google.adk.agents import LlmAgent from google.adk.models.apigee_llm import ApigeeLlm # Instantiate the ApigeeLlm wrapper model = ApigeeLlm ( # Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation (https://github.com/google/adk-python/tree/main/contributing/samples/hello_world_apigeellm). model = &quot;apigee/gemini-2.5-flash&quot; , # The proxy URL of your deployed Apigee proxy including the base path proxy_url = f &quot;https:// { APIGEE_PROXY_URL } &quot; , # Pass necessary authentication/authorization headers (like an API key) custom_headers = { &quot;foo&quot; : &quot;bar&quot; } ) # Pass the configured model wrapper to your LlmAgent agent = LlmAgent ( model = model , name = &quot;my_governed_agent&quot; , instruction = &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; , # ... other agent parameters ) import com.google.adk.agents.LlmAgent ; import com.google.adk.models.ApigeeLlm ; import com.google.common.collect.ImmutableMap ; ApigeeLlm apigeeLlm = ApigeeLlm . builder () . modelName ( &quot;apigee/gemini-2.5-flash&quot; ) // Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation . proxyUrl ( APIGEE_PROXY_URL ) //The proxy URL of your deployed Apigee proxy including the base path . customHeaders ( ImmutableMap . of ( &quot;foo&quot; , &quot;bar&quot; )) //Pass necessary authentication/authorization headers (like an API key) . build (); LlmAgent agent = LlmAgent . builder () . model ( apigeeLlm ) . name ( &quot;my_governed_agent&quot; ) . description ( &quot;my_governed_agent&quot; ) . instruction ( &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; ) // tools will be added next . build (); With this configuration, every API call from your agent will be routed through Apigee first, where all necessary policies (security, rate limiting, logging) are executed before the request is securely forwarded to the underlying AI model endpoint. For a full code example using the Apigee proxy, see Hello World Apigee LLM Using Cloud &amp; Proprietary Models via LiteLLM &para; Supported in ADK Python v0.1.0 To access a vast range of LLMs from providers like OpenAI, Anthropic (non-Vertex AI), Cohere, and many others, ADK offers integration through the LiteLLM library. Integration Method: Instantiate the LiteLlm wrapper class and pass it to the model parameter of LlmAgent . LiteLLM Overview: LiteLLM acts as a translation layer, providing a standardized, OpenAI-compatible interface to over 100+ LLMs. Setup: Install LiteLLM: pip install litellm Set Provider API Keys: Configure API keys as environment variables for the specific providers you intend to use. Example for OpenAI: export OPENAI_API_KEY = &quot;YOUR_OPENAI_API_KEY&quot; Example for Anthropic (non-Vertex AI): export ANTHROPIC_API_KEY = &quot;YOUR_ANTHROPIC_API_KEY&quot; Consult the LiteLLM Providers Documentation for the correct environment variable names for other providers. Example: from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using OpenAI&#39;s GPT-4o --- # (Requires OPENAI_API_KEY) agent_openai = LlmAgent ( model = LiteLlm ( model = &quot;openai/gpt-4o&quot; ), # LiteLLM model string format name = &quot;openai_agent&quot; , instruction = &quot;You are a helpful assistant powered by GPT-4o.&quot; , # ... other agent parameters ) # --- Example Agent using Anthropic&#39;s Claude Haiku (non-Vertex) --- # (Requires ANTHROPIC_API_KEY) agent_claude_direct = LlmAgent ( model = LiteLlm ( model = &quot;anthropic/claude-3-haiku-20240307&quot; ), name = &quot;claude_direct_agent&quot; , instruction = &quot;You are an assistant powered by Claude Haiku.&quot; , # ... other agent parameters ) Windows Encoding Note for LiteLLM When using ADK agents with LiteLLM on Windows, you might encounter a UnicodeDecodeError . This error occurs because LiteLLM may attempt to read cached files using the default Windows encoding ( cp1252 ) instead of UTF-8. To prevent this, we recommend setting the PYTHONUTF8 environment variable to 1 . This forces Python to use UTF-8 for all file I/O. Example (PowerShell): # Set for the current session $env:PYTHONUTF8 = &quot;1&quot; # Set persistently for the user [System.Environment] :: SetEnvironmentVariable ( &#39;PYTHONUTF8&#39; , &#39;1&#39; , [System.EnvironmentVariableTarget] :: User ) Using Open &amp; Local Models via LiteLLM &para; Supported in ADK Python v0.1.0 For maximum control, cost savings, privacy, or offline use cases, you can run open-source models locally or self-host them and integrate them using LiteLLM. Integration Method: Instantiate the LiteLlm wrapper class, configured to point to your local model server. Ollama Integration &para; Ollama allows you to easily run open-source models locally. Model choice &para; If your agent is relying on tools, please make sure that you select a model with tool support from Ollama website . For reliable results, we recommend using a decent-sized model with tool support. The tool support for the model can be checked with the following command: ollama show mistral-small3.1 Model architecture mistral3 parameters 24 .0B context length 131072 embedding length 5120 quantization Q4_K_M Capabilities completion vision tools You are supposed to see tools listed under capabilities. You can also look at the template the model is using and tweak it based on your needs. ollama show --modelfile llama3.2 &gt; model_file_to_modify For instance, the default template for the above model inherently suggests that the model shall call a function all the time. This may result in an infinite loop of function calls. Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. Respond in the format {&quot;name&quot;: function name, &quot;parameters&quot;: dictionary of argument name and its value}. Do not use variables. You can swap such prompts with a more descriptive one to prevent infinite tool call loops. For instance: Review the user&#39;s prompt and the available functions listed below. First, determine if calling one of these functions is the most appropriate way to respond. A function call is likely needed if the prompt asks for a specific action, requires external data lookup, or involves calculations handled by the functions. If the prompt is a general question or can be answered directly, a function call is likely NOT needed. If you determine a function call IS required: Respond ONLY with a JSON object in the format {&quot;name&quot;: &quot;function_name&quot;, &quot;parameters&quot;: {&quot;argument_name&quot;: &quot;value&quot;}}. Ensure parameter values are concrete, not variables. If you determine a function call IS NOT required: Respond directly to the user&#39;s prompt in plain text, providing the answer or information requested. Do not output any JSON. Then you can create a new model with the following command: ollama create llama3.2-modified -f model_file_to_modify Using ollama_chat provider &para; Our LiteLLM wrapper can be used to create agents with Ollama models. root_agent = Agent ( model = LiteLlm ( model = &quot;ollama_chat/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) It is important to set the provider ollama_chat instead of ollama . Using ollama will result in unexpected behaviors such as infinite tool call loops and ignoring previous context. While api_base can be provided inside LiteLLM for generation, LiteLLM library is calling other APIs relying on the env variable instead as of v1.65.5 after completion. So at this time, we recommend setting the env variable OLLAMA_API_BASE to point to the ollama server. export OLLAMA_API_BASE = &quot;http://localhost:11434&quot; adk web Using openai provider &para; Alternatively, openai can be used as the provider name. But this will also require setting the OPENAI_API_BASE=http://localhost:11434/v1 and OPENAI_API_KEY=anything env variables instead of OLLAMA_API_BASE . Please note that api base now has /v1 at the end. root_agent = Agent ( model = LiteLlm ( model = &quot;openai/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) export OPENAI_API_BASE = http://localhost:11434/v1 export OPENAI_API_KEY = anything adk web Debugging &para; You can see the request sent to the Ollama server by adding the following in your agent code just after imports. import litellm litellm . _turn_on_debug () Look for a line like the following: Request Sent from LiteLLM: curl -X POST \ http://localhost:11434/api/chat \ -d &#39;{&#39; model &#39;: &#39; mistral-small3.1 &#39;, &#39; messages &#39;: [{&#39; role &#39;: &#39; system &#39;, &#39; content &#39; : ... Self-Hosted Endpoint (e.g., vLLM) &para; Supported in ADK Python Tools such as vLLM allow you to host models efficiently and often expose an OpenAI-compatible API endpoint. Setup: Deploy Model: Deploy your chosen model using vLLM (or a similar tool). Note the API base URL (e.g., https://your-vllm-endpoint.run.app/v1 ). Important for ADK Tools: When deploying, ensure the serving tool supports and enables OpenAI-compatible tool/function calling. For vLLM, this might involve flags like --enable-auto-tool-choice and potentially a specific --tool-call-parser , depending on the model. Refer to the vLLM documentation on Tool Use. Authentication: Determine how your endpoint handles authentication (e.g., API key, bearer token). Integration Example: import subprocess from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using a model hosted on a vLLM endpoint --- # Endpoint URL provided by your vLLM deployment api_base_url = &quot;https://your-vllm-endpoint.run.app/v1&quot; # Model name as recognized by *your* vLLM endpoint configuration model_name_at_endpoint = &quot;hosted_vllm/google/gemma-3-4b-it&quot; # Example from vllm_test.py # Authentication (Example: using gcloud identity token for a Cloud Run deployment) # Adapt this based on your endpoint&#39;s security try : gcloud_token = subprocess . check_output ( [ &quot;gcloud&quot; , &quot;auth&quot; , &quot;print-identity-token&quot; , &quot;-q&quot; ] ) . decode () . strip () auth_headers = { &quot;Authorization&quot; : f &quot;Bearer { gcloud_token } &quot; } except Exception as e : print ( f &quot;Warning: Could not get gcloud token - { e } . Endpoint might be unsecured or require different auth.&quot; ) auth_headers = None # Or handle error appropriately agent_vllm = LlmAgent ( model = LiteLlm ( model = model_name_at_endpoint , api_base = api_base_url , # Pass authentication headers if needed extra_headers = auth_headers # Alternatively, if endpoint uses an API key: # api_key=&quot;YOUR_ENDPOINT_API_KEY&quot; ), name = &quot;vllm_agent&quot; , instruction = &quot;You are a helpful assistant running on a self-hosted vLLM endpoint.&quot; , # ... other agent parameters ) Using Hosted &amp; Tuned Models on Vertex AI &para; For enterprise-grade scalability, reliability, and integration with Google Cloud's MLOps ecosystem, you can use models deployed to Vertex AI Endpoints. This includes models from Model Garden or your own fine-tuned models. Integration Method: Pass the full Vertex AI Endpoint resource string ( projects/PROJECT_ID/locations/LOCATION/endpoints/ENDPOINT_ID ) directly to the model parameter of LlmAgent . Vertex AI Setup (Consolidated): Ensure your environment is configured for Vertex AI: Authentication: Use Application Default Credentials (ADC): gcloud auth application-default login Environment Variables: Set your project and location: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Enable Vertex Backend: Crucially, ensure the google-genai library targets Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Model Garden Deployments &para; Supported in ADK Python v0.2.0 You can deploy various open and proprietary models from the Vertex AI Model Garden to an endpoint. Example: from google.adk.agents import LlmAgent from google.genai import types # For config objects # --- Example Agent using a Llama 3 model deployed from Model Garden --- # Replace with your actual Vertex AI Endpoint resource name llama3_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_LLAMA3_ENDPOINT_ID&quot; agent_llama3_vertex = LlmAgent ( model = llama3_endpoint , name = &quot;llama3_vertex_agent&quot; , instruction = &quot;You are a helpful assistant based on Llama 3, hosted on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 2048 ), # ... other agent parameters ) Fine-tuned Model Endpoints &para; Supported in ADK Python v0.2.0 Deploying your fine-tuned models (whether based on Gemini or other architectures supported by Vertex AI) results in an endpoint that can be used directly. Example: from google.adk.agents import LlmAgent # --- Example Agent using a fine-tuned Gemini model endpoint --- # Replace with your fine-tuned model&#39;s endpoint resource name finetuned_gemini_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_FINETUNED_ENDPOINT_ID&quot; agent_finetuned_gemini = LlmAgent ( model = finetuned_gemini_endpoint , name = &quot;finetuned_gemini_agent&quot; , instruction = &quot;You are a specialized assistant trained on specific data.&quot; , # ... other agent parameters ) Third-Party Models on Vertex AI (e.g., Anthropic Claude) &para; Some providers, like Anthropic, make their models available directly through Vertex AI. Python Java Integration Method: Uses the direct model string (e.g., "claude-3-sonnet@20240229" ), but requires manual registration within ADK. Why Registration? ADK's registry automatically recognizes gemini-* strings and standard Vertex AI endpoint strings ( projects/.../endpoints/... ) and routes them via the google-genai library. For other model types used directly via Vertex AI (like Claude), you must explicitly tell the ADK registry which specific wrapper class ( Claude in this case) knows how to handle that model identifier string with the Vertex AI backend. Setup: Vertex AI Environment: Ensure the consolidated Vertex AI setup (ADC, Env Vars, GOOGLE_GENAI_USE_VERTEXAI=TRUE ) is complete. Install Provider Library: Install the necessary client library configured for Vertex AI. pip install &quot;anthropic[vertex]&quot; Register Model Class: Add this code near the start of your application, before creating an agent using the Claude model string: # Required for using Claude model strings directly via Vertex AI with LlmAgent from google.adk.models.anthropic_llm import Claude from google.adk.models.registry import LLMRegistry LLMRegistry . register ( Claude ) Example: from google.adk.agents import LlmAgent from google.adk.models.anthropic_llm import Claude # Import needed for registration from google.adk.models.registry import LLMRegistry # Import needed for registration from google.genai import types # --- Register Claude class (do this once at startup) --- LLMRegistry . register ( Claude ) # --- Example Agent using Claude 3 Sonnet on Vertex AI --- # Standard model name for Claude 3 Sonnet on Vertex AI claude_model_vertexai = &quot;claude-3-sonnet@20240229&quot; agent_claude_vertexai = LlmAgent ( model = claude_model_vertexai , # Pass the direct string after registration name = &quot;claude_vertexai_agent&quot; , instruction = &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 4096 ), # ... other agent parameters ) Integration Method: Directly instantiate the provider-specific model class (e.g., com.google.adk.models.Claude ) and configure it with a Vertex AI backend. Why Direct Instantiation? The Java ADK's LlmRegistry primarily handles Gemini models by default. For third-party models like Claude on Vertex AI, you directly provide an instance of the ADK's wrapper class (e.g., Claude ) to the LlmAgent . This wrapper class is responsible for interacting with the model via its specific client library, configured for Vertex AI. Setup: Vertex AI Environment: Ensure your Google Cloud project and region are correctly set up. Application Default Credentials (ADC): Make sure ADC is configured correctly in your environment. This is typically done by running gcloud auth application-default login . The Java client libraries will use these credentials to authenticate with Vertex AI. Follow the Google Cloud Java documentation on ADC for detailed setup. Provider Library Dependencies: Third-Party Client Libraries (Often Transitive): The ADK core library often includes the necessary client libraries for common third-party models on Vertex AI (like Anthropic's required classes) as transitive dependencies . This means you might not need to explicitly add a separate dependency for the Anthropic Vertex SDK in your pom.xml or build.gradle . Instantiate and Configure the Model: When creating your LlmAgent , instantiate the Claude class (or the equivalent for another provider) and configure its VertexBackend . Example: import com.anthropic.client.AnthropicClient ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; import com.anthropic.vertex.backends.VertexBackend ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; // ADK&#39;s wrapper for Claude import com.google.auth.oauth2.GoogleCredentials ; import java.io.IOException ; // ... other imports public class ClaudeVertexAiAgent { public static LlmAgent createAgent () throws IOException { // Model name for Claude 3 Sonnet on Vertex AI (or other versions) String claudeModelVertexAi = &quot;claude-3-7-sonnet&quot; ; // Or any other Claude model // Configure the AnthropicOkHttpClient with the VertexBackend AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . backend ( VertexBackend . builder () . region ( &quot;us-east5&quot; ) // Specify your Vertex AI region . project ( &quot;your-gcp-project-id&quot; ) // Specify your GCP Project ID . googleCredentials ( GoogleCredentials . getApplicationDefault ()) . build ()) . build (); // Instantiate LlmAgent with the ADK Claude wrapper LlmAgent agentClaudeVertexAi = LlmAgent . builder () . model ( new Claude ( claudeModelVertexAi , anthropicClient )) // Pass the Claude instance . name ( &quot;claude_vertexai_agent&quot; ) . instruction ( &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; ) // .generateContentConfig(...) // Optional: Add generation config if needed // ... other agent parameters . build (); return agentClaudeVertexAi ; } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created agent: &quot; + agent . name ()); // Here you would typically set up a Runner and Session to interact with the agent } catch ( IOException e ) { System . err . println ( &quot;Failed to create agent: &quot; + e . getMessage ()); e . printStackTrace (); } } } Back to top Previous Agent Config Next Tools for Agents Copyright Google 2025&nbsp;&nbsp;|&nbsp;&nbsp; Terms &nbsp;&nbsp;|&nbsp;&nbsp; Privacy &nbsp;&nbsp;|&nbsp;&nbsp; Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. 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2026-01-13T09:29:39
https://google.github.io/adk-docs/agents/models/#google-ai-studio
Models & Authentication - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Models & Authentication Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Models & Authentication Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Build Agents Agents Using Different Models with ADK &para; Supported in ADK Python v0.1.0 Typescript v0.2.0 Go v0.1.0 Java v0.1.0 The Agent Development Kit (ADK) is designed for flexibility, allowing you to integrate various Large Language Models (LLMs) into your agents. While the setup for Google Gemini models is covered in the Setup Foundation Models guide, this page details how to leverage Gemini effectively and integrate other popular models, including those hosted externally or running locally. ADK primarily uses two mechanisms for model integration: Direct String / Registry: For models tightly integrated with Google Cloud (like Gemini models accessed via Google AI Studio or Vertex AI) or models hosted on Vertex AI endpoints. You typically provide the model name or endpoint resource string directly to the LlmAgent . ADK's internal registry resolves this string to the appropriate backend client, often utilizing the google-genai library. Wrapper Classes: For broader compatibility, especially with models outside the Google ecosystem or those requiring specific client configurations (like models accessed via Apigee or LiteLLM). You instantiate a specific wrapper class (e.g., ApigeeLlm or LiteLlm ) and pass this object as the model parameter to your LlmAgent . The following sections guide you through using these methods based on your needs. Google Gemini models &para; ADK supports the Google Gemini family of generative AI models that provide a powerful set of models with a wide range of features. ADK provides support for many Gemini features, including Code Execution , Google Search , Context caching , Computer use and the Interactions API . Gemini Interactions API &para; Supported in ADK Python v1.21.0 The Gemini Interactions API is an alternative to the generateContent inference API, which provides stateful conversation capabilities, allowing you to chain interactions using a previous_interaction_id instead of sending the full conversation history with each request. Using this feature can be more efficient for long conversations. You can enable the Interactions API by settting the use_interactions_api=True parameter in the Gemini model configuration, as shown in the following code snippet: from google.adk.agents.llm_agent import Agent from google.adk.models.google_llm import Gemini from google.adk.tools.google_search_tool import GoogleSearchTool root_agent = Agent ( model = Gemini ( model = &quot;gemini-2.5-flash&quot; , use_interactions_api = True , # Enable Interactions API ), name = &quot;interactions_test_agent&quot; , tools = [ GoogleSearchTool ( bypass_multi_tools_limit = True ), # Converted to function tool get_current_weather , # Custom function tool ], ) For a complete code sample, see the Interactions API sample . Known limitations &para; The Interactions API does not support mixing custom function calling tools with built-in tools, such as the Google Search , tool, within the same agent. You can work around this limitation by configuring the the built-in tool to operate as a custom tool using the bypass_multi_tools_limit parameter: # Use bypass_multi_tools_limit=True to convert google_search to a function tool GoogleSearchTool ( bypass_multi_tools_limit = True ) In this example, this option converts the built-in google_search to a function calling tool (via GoogleSearchAgentTool), which allows it to work alongside custom function tools. Gemini model authentication &para; This section covers authenticating with Google's Gemini models, either through Google AI Studio for rapid development or Google Cloud Vertex AI for enterprise applications. This is the most direct way to use Google's flagship models within ADK. Integration Method: Once you are authenticated using one of the below methods, you can pass the model's identifier string directly to the model parameter of LlmAgent . Tip The google-genai library, used internally by ADK for Gemini models, can connect through either Google AI Studio or Vertex AI. Model support for voice/video streaming In order to use voice/video streaming in ADK, you will need to use Gemini models that support the Live API. You can find the model ID(s) that support the Gemini Live API in the documentation: Google AI Studio: Gemini Live API Vertex AI: Gemini Live API Google AI Studio &para; This is the simplest method and is recommended for getting started quickly. Authentication Method: API Key Setup: Get an API key: Obtain your key from Google AI Studio . Set environment variables: Create a .env file (Python) or .properties (Java) in your project's root directory and add the following lines. ADK will automatically load this file. export GOOGLE_API_KEY = &quot;YOUR_GOOGLE_API_KEY&quot; export GOOGLE_GENAI_USE_VERTEXAI = FALSE (or) Pass these variables during the model initialization via the Client (see example below). Models: Find all available models on the Google AI for Developers site . Google Cloud Vertex AI &para; For scalable and production-oriented use cases, Vertex AI is the recommended platform. Gemini on Vertex AI supports enterprise-grade features, security, and compliance controls. Based on your development environment and usecase, choose one of the below methods to authenticate . Pre-requisites: A Google Cloud Project with Vertex AI enabled . Method A: User Credentials (for Local Development) &para; Install the gcloud CLI: Follow the official installation instructions . Log in using ADC: This command opens a browser to authenticate your user account for local development. gcloud auth application-default login Set environment variables: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Explicitly tell the library to use Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Models: Find available model IDs in the Vertex AI documentation . Method B: Vertex AI Express Mode &para; Vertex AI Express Mode offers a simplified, API-key-based setup for rapid prototyping. Sign up for Express Mode to get your API key. Set environment variables: export GOOGLE_API_KEY = &quot;PASTE_YOUR_EXPRESS_MODE_API_KEY_HERE&quot; export GOOGLE_GENAI_USE_VERTEXAI = TRUE Method C: Service Account (for Production &amp; Automation) &para; For deployed applications, a service account is the standard method. Create a Service Account and grant it the Vertex AI User role. Provide credentials to your application: On Google Cloud: If you are running the agent in Cloud Run, GKE, VM or other Google Cloud services, the environment can automatically provide the service account credentials. You don't have to create a key file. Elsewhere: Create a service account key file and point to it with an environment variable: export GOOGLE_APPLICATION_CREDENTIALS = &quot;/path/to/your/keyfile.json&quot; Instead of the key file, you can also authenticate the service account using Workload Identity. But this is outside the scope of this guide. Example: Python Go Java from google.adk.agents import LlmAgent # --- Example using a stable Gemini Flash model --- agent_gemini_flash = LlmAgent ( # Use the latest stable Flash model identifier model = &quot;gemini-2.5-flash&quot; , name = &quot;gemini_flash_agent&quot; , instruction = &quot;You are a fast and helpful Gemini assistant.&quot; , # ... other agent parameters ) # --- Example using a powerful Gemini Pro model --- # Note: Always check the official Gemini documentation for the latest model names, # including specific preview versions if needed. Preview models might have # different availability or quota limitations. agent_gemini_pro = LlmAgent ( # Use the latest generally available Pro model identifier model = &quot;gemini-2.5-pro-preview-03-25&quot; , name = &quot;gemini_pro_agent&quot; , instruction = &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , # ... other agent parameters ) import ( &quot;google.golang.org/adk/agent/llmagent&quot; &quot;google.golang.org/adk/model/gemini&quot; &quot;google.golang.org/genai&quot; ) // --- Example using a stable Gemini Flash model --- modelFlash , err := gemini . NewModel ( ctx , &quot;gemini-2.0-flash&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiFlash , err := llmagent . New ( llmagent . Config { // Use the latest stable Flash model identifier Model : modelFlash , Name : &quot;gemini_flash_agent&quot; , Instruction : &quot;You are a fast and helpful Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example using a powerful Gemini Pro model --- // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. modelPro , err := gemini . NewModel ( ctx , &quot;gemini-2.5-pro-preview-03-25&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiPro , err := llmagent . New ( llmagent . Config { // Use the latest generally available Pro model identifier Model : modelPro , Name : &quot;gemini_pro_agent&quot; , Instruction : &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example #1: using a stable Gemini Flash model with ENV variables--- LlmAgent agentGeminiFlash = LlmAgent . builder () // Use the latest stable Flash model identifier . model ( &quot;gemini-2.5-flash&quot; ) // Set ENV variables to use this model . name ( &quot;gemini_flash_agent&quot; ) . instruction ( &quot;You are a fast and helpful Gemini assistant.&quot; ) // ... other agent parameters . build (); // --- Example #2: using a powerful Gemini Pro model with API Key in model --- LlmAgent agentGeminiPro = LlmAgent . builder () // Use the latest generally available Pro model identifier . model ( new Gemini ( &quot;gemini-2.5-pro-preview-03-25&quot; , Client . builder () . vertexAI ( false ) . apiKey ( &quot;API_KEY&quot; ) // Set the API Key (or) project/ location . build ())) // Or, you can also directly pass the API_KEY // .model(new Gemini(&quot;gemini-2.5-pro-preview-03-25&quot;, &quot;API_KEY&quot;)) . name ( &quot;gemini_pro_agent&quot; ) . instruction ( &quot;You are a powerful and knowledgeable Gemini assistant.&quot; ) // ... other agent parameters . build (); // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. Secure Your Credentials Service account credentials or API keys are powerful credentials. Never expose them publicly. Use a secret manager such as Google Cloud Secret Manager to store and access them securely in production. Troubleshooting &para; Error Code 429 - RESOURCE_EXHAUSTED &para; This error usually happens if the number of your requests exceeds the capacity allocated to process requests. To mitigate this, you can do one of the following: Request higher quota limits for the model you are trying to use. Enable client-side retries. Retries allow the client to automatically retry the request after a delay, which can help if the quota issue is temporary. There are two ways you can set retry options: Option 1: Set retry options on the Agent as a part of generate_content_config. You would use this option if you are instantiating this model adapter by yourself. root_agent = Agent ( model = &#39;gemini-2.5-flash&#39; , ... generate_content_config = types . GenerateContentConfig ( ... http_options = types . HttpOptions ( ... retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ... ), ... ) Option 2: Retry options on this model adapter. You would use this option if you were instantiating the instance of adapter by yourself. from google.genai import types # ... agent = Agent ( model = Gemini ( retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ) ) Using Anthropic models &para; Supported in ADK Java v0.2.0 You can integrate Anthropic's Claude models directly using their API key or from a Vertex AI backend into your Java ADK applications by using the ADK's Claude wrapper class. For Vertex AI backend, see the Third-Party Models on Vertex AI section. Prerequisites: Dependencies: Anthropic SDK Classes (Transitive): The Java ADK's com.google.adk.models.Claude wrapper relies on classes from Anthropic's official Java SDK. These are typically included as transitive dependencies . Anthropic API Key: Obtain an API key from Anthropic. Securely manage this key using a secret manager. Integration: Instantiate com.google.adk.models.Claude , providing the desired Claude model name and an AnthropicOkHttpClient configured with your API key. Then, pass this Claude instance to your LlmAgent . Example: import com.anthropic.client.AnthropicClient ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; // From Anthropic&#39;s SDK public class DirectAnthropicAgent { private static final String CLAUDE_MODEL_ID = &quot;claude-3-7-sonnet-latest&quot; ; // Or your preferred Claude model public static LlmAgent createAgent () { // It&#39;s recommended to load sensitive keys from a secure config AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . apiKey ( &quot;ANTHROPIC_API_KEY&quot; ) . build (); Claude claudeModel = new Claude ( CLAUDE_MODEL_ID , anthropicClient ); return LlmAgent . builder () . name ( &quot;claude_direct_agent&quot; ) . model ( claudeModel ) . instruction ( &quot;You are a helpful AI assistant powered by Anthropic Claude.&quot; ) // ... other LlmAgent configurations . build (); } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created direct Anthropic agent: &quot; + agent . name ()); } catch ( IllegalStateException e ) { System . err . println ( &quot;Error creating agent: &quot; + e . getMessage ()); } } } Using Apigee gateway for AI models &para; Supported in ADK Python v1.18.0 Java v0.4.0 Apigee acts as a powerful AI Gateway , transforming how you manage and govern your generative AI model traffic. By exposing your AI model endpoint (like Vertex AI or the Gemini API) through an Apigee proxy, you immediately gain enterprise-grade capabilities: Model Safety: Implement security policies like Model Armor for threat protection. Traffic Governance: Enforce Rate Limiting and Token Limiting to manage costs and prevent abuse. Performance: Improve response times and efficiency using Semantic Caching and advanced model routing. Monitoring &amp; Visibility: Get granular monitoring, analysis, and auditing of all your AI requests. NOTE: The ApigeeLLM wrapper is currently designed for use with Vertex AI and the Gemini API (generateContent). We are continually expanding support for other models and interfaces. Integration Method: To integrate Apigee's governance into your agent's workflow, simply instantiate the ApigeeLlm wrapper and pass it to an LlmAgent or other agent type. Example: Python Java from google.adk.agents import LlmAgent from google.adk.models.apigee_llm import ApigeeLlm # Instantiate the ApigeeLlm wrapper model = ApigeeLlm ( # Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation (https://github.com/google/adk-python/tree/main/contributing/samples/hello_world_apigeellm). model = &quot;apigee/gemini-2.5-flash&quot; , # The proxy URL of your deployed Apigee proxy including the base path proxy_url = f &quot;https:// { APIGEE_PROXY_URL } &quot; , # Pass necessary authentication/authorization headers (like an API key) custom_headers = { &quot;foo&quot; : &quot;bar&quot; } ) # Pass the configured model wrapper to your LlmAgent agent = LlmAgent ( model = model , name = &quot;my_governed_agent&quot; , instruction = &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; , # ... other agent parameters ) import com.google.adk.agents.LlmAgent ; import com.google.adk.models.ApigeeLlm ; import com.google.common.collect.ImmutableMap ; ApigeeLlm apigeeLlm = ApigeeLlm . builder () . modelName ( &quot;apigee/gemini-2.5-flash&quot; ) // Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation . proxyUrl ( APIGEE_PROXY_URL ) //The proxy URL of your deployed Apigee proxy including the base path . customHeaders ( ImmutableMap . of ( &quot;foo&quot; , &quot;bar&quot; )) //Pass necessary authentication/authorization headers (like an API key) . build (); LlmAgent agent = LlmAgent . builder () . model ( apigeeLlm ) . name ( &quot;my_governed_agent&quot; ) . description ( &quot;my_governed_agent&quot; ) . instruction ( &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; ) // tools will be added next . build (); With this configuration, every API call from your agent will be routed through Apigee first, where all necessary policies (security, rate limiting, logging) are executed before the request is securely forwarded to the underlying AI model endpoint. For a full code example using the Apigee proxy, see Hello World Apigee LLM Using Cloud &amp; Proprietary Models via LiteLLM &para; Supported in ADK Python v0.1.0 To access a vast range of LLMs from providers like OpenAI, Anthropic (non-Vertex AI), Cohere, and many others, ADK offers integration through the LiteLLM library. Integration Method: Instantiate the LiteLlm wrapper class and pass it to the model parameter of LlmAgent . LiteLLM Overview: LiteLLM acts as a translation layer, providing a standardized, OpenAI-compatible interface to over 100+ LLMs. Setup: Install LiteLLM: pip install litellm Set Provider API Keys: Configure API keys as environment variables for the specific providers you intend to use. Example for OpenAI: export OPENAI_API_KEY = &quot;YOUR_OPENAI_API_KEY&quot; Example for Anthropic (non-Vertex AI): export ANTHROPIC_API_KEY = &quot;YOUR_ANTHROPIC_API_KEY&quot; Consult the LiteLLM Providers Documentation for the correct environment variable names for other providers. Example: from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using OpenAI&#39;s GPT-4o --- # (Requires OPENAI_API_KEY) agent_openai = LlmAgent ( model = LiteLlm ( model = &quot;openai/gpt-4o&quot; ), # LiteLLM model string format name = &quot;openai_agent&quot; , instruction = &quot;You are a helpful assistant powered by GPT-4o.&quot; , # ... other agent parameters ) # --- Example Agent using Anthropic&#39;s Claude Haiku (non-Vertex) --- # (Requires ANTHROPIC_API_KEY) agent_claude_direct = LlmAgent ( model = LiteLlm ( model = &quot;anthropic/claude-3-haiku-20240307&quot; ), name = &quot;claude_direct_agent&quot; , instruction = &quot;You are an assistant powered by Claude Haiku.&quot; , # ... other agent parameters ) Windows Encoding Note for LiteLLM When using ADK agents with LiteLLM on Windows, you might encounter a UnicodeDecodeError . This error occurs because LiteLLM may attempt to read cached files using the default Windows encoding ( cp1252 ) instead of UTF-8. To prevent this, we recommend setting the PYTHONUTF8 environment variable to 1 . This forces Python to use UTF-8 for all file I/O. Example (PowerShell): # Set for the current session $env:PYTHONUTF8 = &quot;1&quot; # Set persistently for the user [System.Environment] :: SetEnvironmentVariable ( &#39;PYTHONUTF8&#39; , &#39;1&#39; , [System.EnvironmentVariableTarget] :: User ) Using Open &amp; Local Models via LiteLLM &para; Supported in ADK Python v0.1.0 For maximum control, cost savings, privacy, or offline use cases, you can run open-source models locally or self-host them and integrate them using LiteLLM. Integration Method: Instantiate the LiteLlm wrapper class, configured to point to your local model server. Ollama Integration &para; Ollama allows you to easily run open-source models locally. Model choice &para; If your agent is relying on tools, please make sure that you select a model with tool support from Ollama website . For reliable results, we recommend using a decent-sized model with tool support. The tool support for the model can be checked with the following command: ollama show mistral-small3.1 Model architecture mistral3 parameters 24 .0B context length 131072 embedding length 5120 quantization Q4_K_M Capabilities completion vision tools You are supposed to see tools listed under capabilities. You can also look at the template the model is using and tweak it based on your needs. ollama show --modelfile llama3.2 &gt; model_file_to_modify For instance, the default template for the above model inherently suggests that the model shall call a function all the time. This may result in an infinite loop of function calls. Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. Respond in the format {&quot;name&quot;: function name, &quot;parameters&quot;: dictionary of argument name and its value}. Do not use variables. You can swap such prompts with a more descriptive one to prevent infinite tool call loops. For instance: Review the user&#39;s prompt and the available functions listed below. First, determine if calling one of these functions is the most appropriate way to respond. A function call is likely needed if the prompt asks for a specific action, requires external data lookup, or involves calculations handled by the functions. If the prompt is a general question or can be answered directly, a function call is likely NOT needed. If you determine a function call IS required: Respond ONLY with a JSON object in the format {&quot;name&quot;: &quot;function_name&quot;, &quot;parameters&quot;: {&quot;argument_name&quot;: &quot;value&quot;}}. Ensure parameter values are concrete, not variables. If you determine a function call IS NOT required: Respond directly to the user&#39;s prompt in plain text, providing the answer or information requested. Do not output any JSON. Then you can create a new model with the following command: ollama create llama3.2-modified -f model_file_to_modify Using ollama_chat provider &para; Our LiteLLM wrapper can be used to create agents with Ollama models. root_agent = Agent ( model = LiteLlm ( model = &quot;ollama_chat/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) It is important to set the provider ollama_chat instead of ollama . Using ollama will result in unexpected behaviors such as infinite tool call loops and ignoring previous context. While api_base can be provided inside LiteLLM for generation, LiteLLM library is calling other APIs relying on the env variable instead as of v1.65.5 after completion. So at this time, we recommend setting the env variable OLLAMA_API_BASE to point to the ollama server. export OLLAMA_API_BASE = &quot;http://localhost:11434&quot; adk web Using openai provider &para; Alternatively, openai can be used as the provider name. But this will also require setting the OPENAI_API_BASE=http://localhost:11434/v1 and OPENAI_API_KEY=anything env variables instead of OLLAMA_API_BASE . Please note that api base now has /v1 at the end. root_agent = Agent ( model = LiteLlm ( model = &quot;openai/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) export OPENAI_API_BASE = http://localhost:11434/v1 export OPENAI_API_KEY = anything adk web Debugging &para; You can see the request sent to the Ollama server by adding the following in your agent code just after imports. import litellm litellm . _turn_on_debug () Look for a line like the following: Request Sent from LiteLLM: curl -X POST \ http://localhost:11434/api/chat \ -d &#39;{&#39; model &#39;: &#39; mistral-small3.1 &#39;, &#39; messages &#39;: [{&#39; role &#39;: &#39; system &#39;, &#39; content &#39; : ... Self-Hosted Endpoint (e.g., vLLM) &para; Supported in ADK Python Tools such as vLLM allow you to host models efficiently and often expose an OpenAI-compatible API endpoint. Setup: Deploy Model: Deploy your chosen model using vLLM (or a similar tool). Note the API base URL (e.g., https://your-vllm-endpoint.run.app/v1 ). Important for ADK Tools: When deploying, ensure the serving tool supports and enables OpenAI-compatible tool/function calling. For vLLM, this might involve flags like --enable-auto-tool-choice and potentially a specific --tool-call-parser , depending on the model. Refer to the vLLM documentation on Tool Use. Authentication: Determine how your endpoint handles authentication (e.g., API key, bearer token). Integration Example: import subprocess from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using a model hosted on a vLLM endpoint --- # Endpoint URL provided by your vLLM deployment api_base_url = &quot;https://your-vllm-endpoint.run.app/v1&quot; # Model name as recognized by *your* vLLM endpoint configuration model_name_at_endpoint = &quot;hosted_vllm/google/gemma-3-4b-it&quot; # Example from vllm_test.py # Authentication (Example: using gcloud identity token for a Cloud Run deployment) # Adapt this based on your endpoint&#39;s security try : gcloud_token = subprocess . check_output ( [ &quot;gcloud&quot; , &quot;auth&quot; , &quot;print-identity-token&quot; , &quot;-q&quot; ] ) . decode () . strip () auth_headers = { &quot;Authorization&quot; : f &quot;Bearer { gcloud_token } &quot; } except Exception as e : print ( f &quot;Warning: Could not get gcloud token - { e } . Endpoint might be unsecured or require different auth.&quot; ) auth_headers = None # Or handle error appropriately agent_vllm = LlmAgent ( model = LiteLlm ( model = model_name_at_endpoint , api_base = api_base_url , # Pass authentication headers if needed extra_headers = auth_headers # Alternatively, if endpoint uses an API key: # api_key=&quot;YOUR_ENDPOINT_API_KEY&quot; ), name = &quot;vllm_agent&quot; , instruction = &quot;You are a helpful assistant running on a self-hosted vLLM endpoint.&quot; , # ... other agent parameters ) Using Hosted &amp; Tuned Models on Vertex AI &para; For enterprise-grade scalability, reliability, and integration with Google Cloud's MLOps ecosystem, you can use models deployed to Vertex AI Endpoints. This includes models from Model Garden or your own fine-tuned models. Integration Method: Pass the full Vertex AI Endpoint resource string ( projects/PROJECT_ID/locations/LOCATION/endpoints/ENDPOINT_ID ) directly to the model parameter of LlmAgent . Vertex AI Setup (Consolidated): Ensure your environment is configured for Vertex AI: Authentication: Use Application Default Credentials (ADC): gcloud auth application-default login Environment Variables: Set your project and location: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Enable Vertex Backend: Crucially, ensure the google-genai library targets Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Model Garden Deployments &para; Supported in ADK Python v0.2.0 You can deploy various open and proprietary models from the Vertex AI Model Garden to an endpoint. Example: from google.adk.agents import LlmAgent from google.genai import types # For config objects # --- Example Agent using a Llama 3 model deployed from Model Garden --- # Replace with your actual Vertex AI Endpoint resource name llama3_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_LLAMA3_ENDPOINT_ID&quot; agent_llama3_vertex = LlmAgent ( model = llama3_endpoint , name = &quot;llama3_vertex_agent&quot; , instruction = &quot;You are a helpful assistant based on Llama 3, hosted on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 2048 ), # ... other agent parameters ) Fine-tuned Model Endpoints &para; Supported in ADK Python v0.2.0 Deploying your fine-tuned models (whether based on Gemini or other architectures supported by Vertex AI) results in an endpoint that can be used directly. Example: from google.adk.agents import LlmAgent # --- Example Agent using a fine-tuned Gemini model endpoint --- # Replace with your fine-tuned model&#39;s endpoint resource name finetuned_gemini_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_FINETUNED_ENDPOINT_ID&quot; agent_finetuned_gemini = LlmAgent ( model = finetuned_gemini_endpoint , name = &quot;finetuned_gemini_agent&quot; , instruction = &quot;You are a specialized assistant trained on specific data.&quot; , # ... other agent parameters ) Third-Party Models on Vertex AI (e.g., Anthropic Claude) &para; Some providers, like Anthropic, make their models available directly through Vertex AI. Python Java Integration Method: Uses the direct model string (e.g., "claude-3-sonnet@20240229" ), but requires manual registration within ADK. Why Registration? ADK's registry automatically recognizes gemini-* strings and standard Vertex AI endpoint strings ( projects/.../endpoints/... ) and routes them via the google-genai library. For other model types used directly via Vertex AI (like Claude), you must explicitly tell the ADK registry which specific wrapper class ( Claude in this case) knows how to handle that model identifier string with the Vertex AI backend. Setup: Vertex AI Environment: Ensure the consolidated Vertex AI setup (ADC, Env Vars, GOOGLE_GENAI_USE_VERTEXAI=TRUE ) is complete. Install Provider Library: Install the necessary client library configured for Vertex AI. pip install &quot;anthropic[vertex]&quot; Register Model Class: Add this code near the start of your application, before creating an agent using the Claude model string: # Required for using Claude model strings directly via Vertex AI with LlmAgent from google.adk.models.anthropic_llm import Claude from google.adk.models.registry import LLMRegistry LLMRegistry . register ( Claude ) Example: from google.adk.agents import LlmAgent from google.adk.models.anthropic_llm import Claude # Import needed for registration from google.adk.models.registry import LLMRegistry # Import needed for registration from google.genai import types # --- Register Claude class (do this once at startup) --- LLMRegistry . register ( Claude ) # --- Example Agent using Claude 3 Sonnet on Vertex AI --- # Standard model name for Claude 3 Sonnet on Vertex AI claude_model_vertexai = &quot;claude-3-sonnet@20240229&quot; agent_claude_vertexai = LlmAgent ( model = claude_model_vertexai , # Pass the direct string after registration name = &quot;claude_vertexai_agent&quot; , instruction = &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 4096 ), # ... other agent parameters ) Integration Method: Directly instantiate the provider-specific model class (e.g., com.google.adk.models.Claude ) and configure it with a Vertex AI backend. Why Direct Instantiation? The Java ADK's LlmRegistry primarily handles Gemini models by default. For third-party models like Claude on Vertex AI, you directly provide an instance of the ADK's wrapper class (e.g., Claude ) to the LlmAgent . This wrapper class is responsible for interacting with the model via its specific client library, configured for Vertex AI. Setup: Vertex AI Environment: Ensure your Google Cloud project and region are correctly set up. Application Default Credentials (ADC): Make sure ADC is configured correctly in your environment. This is typically done by running gcloud auth application-default login . The Java client libraries will use these credentials to authenticate with Vertex AI. Follow the Google Cloud Java documentation on ADC for detailed setup. Provider Library Dependencies: Third-Party Client Libraries (Often Transitive): The ADK core library often includes the necessary client libraries for common third-party models on Vertex AI (like Anthropic's required classes) as transitive dependencies . This means you might not need to explicitly add a separate dependency for the Anthropic Vertex SDK in your pom.xml or build.gradle . Instantiate and Configure the Model: When creating your LlmAgent , instantiate the Claude class (or the equivalent for another provider) and configure its VertexBackend . Example: import com.anthropic.client.AnthropicClient ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; import com.anthropic.vertex.backends.VertexBackend ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; // ADK&#39;s wrapper for Claude import com.google.auth.oauth2.GoogleCredentials ; import java.io.IOException ; // ... other imports public class ClaudeVertexAiAgent { public static LlmAgent createAgent () throws IOException { // Model name for Claude 3 Sonnet on Vertex AI (or other versions) String claudeModelVertexAi = &quot;claude-3-7-sonnet&quot; ; // Or any other Claude model // Configure the AnthropicOkHttpClient with the VertexBackend AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . backend ( VertexBackend . builder () . region ( &quot;us-east5&quot; ) // Specify your Vertex AI region . project ( &quot;your-gcp-project-id&quot; ) // Specify your GCP Project ID . googleCredentials ( GoogleCredentials . getApplicationDefault ()) . build ()) . build (); // Instantiate LlmAgent with the ADK Claude wrapper LlmAgent agentClaudeVertexAi = LlmAgent . builder () . model ( new Claude ( claudeModelVertexAi , anthropicClient )) // Pass the Claude instance . name ( &quot;claude_vertexai_agent&quot; ) . instruction ( &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; ) // .generateContentConfig(...) // Optional: Add generation config if needed // ... other agent parameters . build (); return agentClaudeVertexAi ; } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created agent: &quot; + agent . name ()); // Here you would typically set up a Runner and Session to interact with the agent } catch ( IOException e ) { System . err . println ( &quot;Failed to create agent: &quot; + e . getMessage ()); e . printStackTrace (); } } } Back to top Previous Agent Config Next Tools for Agents Copyright Google 2025&nbsp;&nbsp;|&nbsp;&nbsp; Terms &nbsp;&nbsp;|&nbsp;&nbsp; Privacy &nbsp;&nbsp;|&nbsp;&nbsp; Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. 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2026-01-13T09:29:39
https://developer.atlassian.com/cloud/compass/teams/what-is-a-team-in-Compass/
Create and manage teams | Compass | Atlassian Support Skip to main content Apps Documentation Resources Contact us Sign in Sign in Compass Cloud Documentation Set up Compass Getting started with Compass What is Compass? Set up your Compass site Learn how Compass works Understand user roles in Compass Auto-populate your catalog Build your software catalog What are components? Search the component catalog Create, view, update, and archive components Assign a component owner Add component details Import components into your catalog Import components from Bitbucket Cloud Import components from GitHub Import components from GitLab Import components from Jira Service Management Import components from New Relic Import components from repositories linked to Jira Use Compass with other Atlassian apps Link Jira issues to components Sync components with Jira Service Management Add Jira issues to Compass scorecards Integrate Compass with Bitbucket Cloud Integrate Compass with Opsgenie Integrate Compass with Statuspage Use Compass with other applications Integrate Compass with CircleCI Integrate Compass with GitHub Integrate Compass with GitLab Integrate Compass with PagerDuty Integrate Compass with Sentry Integrate Compass with Slack Integrate Compass with Snyk Import data from other tools Populate component events Configure incoming webhooks Create and use incoming webhooks Delete incoming webhooks Populate component metrics What are component metrics? Create component metrics Connect, view, and disconnect component metrics Get metrics from integrated tools What are derived metrics? Available predefined metrics Maintain components your team owns Manage components and dependencies Maintain components Manage your component catalog Manage component types Announce component changes Add component dependencies Set component tiers Centralize developer documentation Manage API specifications Manage package dependencies Manage and administer Compass Administer Compass for your company Change Compass plan Manage users and their Compass access Manage custom fields View Compass audit logs in Atlassian Administration Enable pending components Understand user roles and permission policies How do Compass permissions work? Select a permission policy Set standards for component health Understand how scorecards work What are scorecards? Create and manage scorecards Create, publish, and delete scorecards Understand methods for applying scorecards Apply or remove scorecards Create and manage scorecard criteria Use custom fields with scorecards Use metrics with scorecards Track component health with scorecards Understand component health View and update a component&#x27;s score Monitor your team’s component health via Slack Build teams and operational practices Create and manage teams Create or find teams Monitor your team dashboard What is the developer experience dashboard? Set up your team&#x27;s operations Set up team operations Add contact methods Manage user roles Integrate an operations tool Show on-call information from incident management tools on a component Work with advanced integration settings Manage alerts and on-call schedules How alerts are created Manage alert notifications Create incidents with alerts What is the heartbeats feature? How on-call schedules work Manage an escalation policy Override an on-call schedule View reports of operations Atlassian Support Compass Resources Build teams and operational practices Create and manage teams Create or find teams Create teams in Compass so they can own and manage components from a single place. View topic Monitor your team dashboard A team’s dashboard is a centralized location where you can find information, assign components, and view scorecard performance. View topic What is the developer experience dashboard? See key metrics in the dashboard that represent how work moves through the software development lifecycle. View topic Was this helpful? Yes No It wasn&#x27;t accurate It wasn&#x27;t clear It wasn&#x27;t relevant Provide feedback about this article Still need help? The Atlassian Community is here for you. Ask the Community Explore more Create or find teams Monitor your team dashboard What is the developer experience dashboard? Build teams and operational practices Create and manage teams Set up your team&#x27;s operations Manage alerts and on-call schedules Community Questions, discussions, and articles Accessibility Notice at Collection Privacy Policy Terms of Use Security 2026 Atlassian
2026-01-13T09:29:39
https://developer.android.com/distribute/?hl=pl
Rozpowszechniaj swoje gry i aplikacje w Google Play &nbsp;|&nbsp; Android Developers Przejdź do głównej treści Podstawy Tworzenie aplikacji opartych na AI Twórz aplikacje na Androida oparte na AI za pomocą interfejsów Gemini API i innych narzędzi. Rozpocznij Rozpocznij Zacznij od utworzenia pierwszej aplikacji. Możesz też skorzystać z naszych kursów szkoleniowych lub samodzielnie zgłębiać tajniki tworzenia aplikacji. Hello world Kursy szkoleniowe Samouczki Compose dla zespołów Kotlin na Androida Zarabianie w Google Play ↗️ Weryfikacja dewelopera aplikacji na Androida Dostosuj do innych urządzeń Twórz aplikacje, które działają bezproblemowo na telefonach, tabletach, zegarkach, zestawach słuchawkowych i innych urządzeniach. Aplikacje adaptacyjne Android XR Wear OS Android do samochodu Android TV ChromeOS Twórz według kategorii Dowiedz się, jak tworzyć aplikacje na potrzeby konkretnych przypadków użycia, korzystając z wytycznych Google. Gry Aparat i multimedia Media społecznościowe i komunikatory Zdrowie i fitness Produktywność Aplikacje firmowe Poznaj aktualności Bądź na bieżąco z najnowszymi wydaniami przez cały rok, dołącz do naszych programów testowych i przekazuj nam swoje opinie. Najnowsze aktualizacje Aktualizacje eksperymentalne Wersja testowa Android Studio Biblioteki Jetpack i Compose Wersje na Wear OS Piaskownica prywatności ↗️ Projektowanie i planowanie Doskonałe wrażenia Zapewniaj najlepsze wrażenia najlepszym użytkownikom. Więcej informacji Projektowanie interfejsu Zaprojektuj atrakcyjny interfejs użytkownika zgodnie ze sprawdzonymi metodami dotyczącymi Androida. Projektowanie na Androida Urządzenia mobilne Interfejs adaptacyjny Gogle i okulary XR Okulary AI Widżety Wear OS Android TV Android do samochodu Architektura Zaprojektuj solidną, łatwą do testowania i utrzymania logikę aplikacji oraz usług. Wprowadzenie Biblioteki Nawigacja Modularyzacja Testowanie Kotlin Multiplatform Jakość Zaplanuj jakość aplikacji i dostosuj ją do wytycznych Sklepu Play. Przegląd Wartość podstawowa Wrażenia użytkownika Ułatwienia dostępu Jakość techniczna Doskonałe wrażenia Bezpieczeństwo Chroń użytkowników przed zagrożeniami i zapewnij im bezpieczne korzystanie z Androida. Przegląd Prywatność Uprawnienia Tożsamość Zapobieganie oszustwom Programowanie Gemini w Android Studio Asystent AI do programowania aplikacji na Androida. Więcej informacji Pobierz Android Studio Główne obszary Pobierz przykłady i dokumentację potrzebnych funkcji. Sample Interfejsy Praca w tle Dane i pliki Połączenia Wszystkie główne obszary ⤵️ Narzędzia i przepływ pracy Użyj IDE, aby napisać i skompilować aplikację, lub utwórz własny potok. Pisanie i debugowanie kodu Kompilowanie projektów Testowanie aplikacji Wydajność Narzędzia wiersza poleceń Interfejs API wtyczki Gradle Technologia urządzenia Pisz kod na urządzeniach różnego formatu. Połącz urządzenia i udostępniaj dane. Interfejs adaptacyjny Wear OS Android XR Android Health Android do samochodu Android TV Wszystkie urządzenia ⤵️ Biblioteki Przejrzyj dokumentację interfejsu API ze wszystkimi szczegółami. Platforma Android Biblioteki Jetpack Biblioteki Compose Usługi Google Play ↗️ Google Play SDK Index ↗️ Google Play Konsola Play Opublikuj aplikację lub grę i rozwijaj swoją firmę w Google Play. Otwórz Konsolę Play Więcej informacji ↗️ Podstawowe informacje Dowiedz się, jak zachęcać użytkowników do korzystania z aplikacji, zarabiać na niej i ją zabezpieczać. Zarabianie w Google Play Play Integrity Zasady Google Play Programy Google Play ↗️ Centrum deweloperów gier Programuj i udostępniaj gry. Uzyskaj narzędzia, pliki do pobrania i przykłady. Przegląd Play Asset Delivery Usługi gier Play Gry Play na PC Wszystkie przewodniki po Google Play ⤵️ Biblioteki Przejrzyj dokumentację interfejsu API ze wszystkimi szczegółami. Play Feature Delivery Aktualizacje w aplikacji w Google Play Opinie w aplikacji w Google Play Play Install Referrer Usługi Google Play ↗️ Google Play SDK Index ↗️ Wszystkie biblioteki Google Play ⤵️ Narzędzia i zasoby Narzędzia do publikowania i promowania aplikacji oraz zarządzania nią. Pakiety Android App Bundle Marka i marketing Interfejsy API Konsoli Play ↗️ Społeczność / English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 Android Studio Zaloguj się Podstawy Więcej Projektowanie i planowanie Więcej Programowanie Więcej Google Play Więcej Społeczność Android Studio Tworzenie aplikacji opartych na AI Rozpocznij Rozpocznij Hello world Kursy szkoleniowe Samouczki Compose dla zespołów Kotlin na Androida Zarabianie w Google Play ↗️ Weryfikacja dewelopera aplikacji na Androida Dostosuj do innych urządzeń Aplikacje adaptacyjne Android XR Wear OS Android do samochodu Android TV ChromeOS Twórz według kategorii Gry Aparat i multimedia Media społecznościowe i komunikatory Zdrowie i fitness Produktywność Aplikacje firmowe Poznaj aktualności Najnowsze aktualizacje Aktualizacje eksperymentalne Wersja testowa Android Studio Biblioteki Jetpack i Compose Wersje na Wear OS Piaskownica prywatności ↗️ Doskonałe wrażenia Więcej informacji Projektowanie interfejsu Projektowanie na Androida Urządzenia mobilne Interfejs adaptacyjny Gogle i okulary XR Okulary AI Widżety Wear OS Android TV Android do samochodu Architektura Wprowadzenie Biblioteki Nawigacja Modularyzacja Testowanie Kotlin Multiplatform Jakość Przegląd Wartość podstawowa Wrażenia użytkownika Ułatwienia dostępu Jakość techniczna Doskonałe wrażenia Bezpieczeństwo Przegląd Prywatność Uprawnienia Tożsamość Zapobieganie oszustwom Gemini w Android Studio Więcej informacji Pobierz Android Studio Główne obszary Sample Interfejsy Praca w tle Dane i pliki Połączenia Wszystkie główne obszary ⤵️ Narzędzia i przepływ pracy Pisanie i debugowanie kodu Kompilowanie projektów Testowanie aplikacji Wydajność Narzędzia wiersza poleceń Interfejs API wtyczki Gradle Technologia urządzenia Interfejs adaptacyjny Wear OS Android XR Android Health Android do samochodu Android TV Wszystkie urządzenia ⤵️ Biblioteki Platforma Android Biblioteki Jetpack Biblioteki Compose Usługi Google Play ↗️ Google Play SDK Index ↗️ Konsola Play Otwórz Konsolę Play Więcej informacji ↗️ Podstawowe informacje Zarabianie w Google Play Play Integrity Zasady Google Play Programy Google Play ↗️ Centrum deweloperów gier Przegląd Play Asset Delivery Usługi gier Play Gry Play na PC Wszystkie przewodniki po Google Play ⤵️ Biblioteki Play Feature Delivery Aktualizacje w aplikacji w Google Play Opinie w aplikacji w Google Play Play Install Referrer Usługi Google Play ↗️ Google Play SDK Index ↗️ Wszystkie biblioteki Google Play ⤵️ Narzędzia i zasoby Pakiety Android App Bundle Marka i marketing Interfejsy API Konsoli Play ↗️ Android Developers Google Play Zadbaj o dobrą organizację dzięki kolekcji Zapisuj i kategoryzuj treści zgodnie ze swoimi preferencjami. Google Play Dzięki możliwości szybkiego publikowania aplikacji na ponad 2, 5 miliarda aktywnych urządzeń z Androidem Google Play pomaga Ci docierać do większej liczby odbiorców na całym świecie i zarabiać na aplikacjach i grach. Zasięg Google Play pomaga dotrzeć do ponad 2, 5 miliarda aktywnych urządzeń z Androidem, w tym telefonów, tabletów, zegarków, samochodów i telewizorów. Zaloguj się w Konsoli Play Zarabianie Sprzedawaj cyfrowe subskrypcje i treści w aplikacjach w 135 krajach, korzystając z setek form płatności na naszej bezpiecznej i godnej zaufania platformie handlowej. Zarabianie na aplikacjach i grach Bezpieczeństwo Wykrywaj potencjalne zagrożenia dla swoich aplikacji i gier oraz chroń użytkowników za pomocą interfejsu Play Integrity API. Zapobieganie nieautoryzowanemu dostępowi dzięki automatycznej ochronie w Google Play. Chroń swoje aplikacje i gry Jakość Aplikacje i gry wysokiej jakości są wartościowe dla użytkowników i wygodne w użyciu. W pełni wykorzystują możliwości urządzeń premium i zostały zaprojektowane z myślą o bezpieczeństwie. Tworzenie wysokiej jakości aplikacji i gier Najnowsze wiadomości Zobacz wszystkie wiadomości Tworzenie, publikowanie i aktualizowanie Przewodniki Przewodniki Wymagania dotyczące Google Play Wymagania dotyczące docelowego poziomu interfejsu API Przewodniki Play Feature Delivery Dostosowywanie wyświetlania funkcji na żądanie Przewodniki Play Asset Delivery Dostosowywanie dostarczania zasobów do gier Przewodniki Odtwarzanie aktualizacji w aplikacji Zachęcanie użytkowników do aktualizacji aplikacji Przewodniki Rozpowszechnianie aplikacji w Google Play Więcej informacji o dystrybucji w Google Play Przewodniki Play Points Nagradzanie użytkowników i zwiększanie ich lojalności Dokumentacja API Jak korzystać z interfejsu API Biblioteka Play Feature Delivery Dostosowywanie wyświetlania funkcji na żądanie Jak korzystać z interfejsu API Biblioteka Play Asset Delivery Dostosowywanie dostarczania zasobów do gier Jak korzystać z interfejsu API Biblioteka aktualizacji w aplikacji w Google Play Zachęcanie użytkowników do aktualizacji aplikacji Pozyskiwanie i angażowanie użytkowników Przewodniki Przewodniki Pakiet Play Engage SDK Ponowne zaangażowanie użytkowników na urządzeniach Przewodniki Opinie w aplikacji w Google Play Zachęcanie użytkowników do oceniania aplikacji Przewodniki Play Install Referrer Pobieranie treści z polecenia z Google Play Przewodniki Play Asset Delivery Dostosowywanie dostarczania zasobów do gier Przewodniki Usługi gier Play Integracja popularnych funkcji gier Przewodniki Gry Play na PC Płynna rozgrywka na wielu platformach na PC Dokumentacja API Jak korzystać z interfejsu API Usługi gier Play Integracja popularnych funkcji gier Jak korzystać z interfejsu API SDK dla Agencji Ponowne zaangażowanie użytkowników na urządzeniach Jak korzystać z interfejsu API Biblioteka opinii w aplikacji w Google Play Zachęcanie użytkowników do oceniania aplikacji Jak korzystać z interfejsu API Biblioteka Play Install Referrer Pobieranie treści z polecenia z Google Play Jak korzystać z interfejsu API Biblioteka Play Asset Delivery Dostosowywanie dostarczania zasobów do gier Zarabianie Przewodniki Przewodniki Płatności w Play Sprzedawanie cyfrowych produktów w aplikacji i subskrypcji Przewodniki Laboratorium płatności w Play Testowanie integracji z Biblioteką płatności w Play Dokumentacja API Jak korzystać z interfejsu API biblioteka Płatności w Play Sprzedawanie cyfrowych produktów w aplikacji i subskrypcji Codelabs Codelabs Maksymalizowanie korzyści z integracji z Biblioteką płatności w Google Play Ćwiczenia dotyczące integracji z Biblioteką płatności w Play Codelabs Analizowanie rezygnacji z zakupu produktu w Płatnościach w Google Play Ćwiczenia z programowania dotyczące analizowania rezygnacji z zakupu produktu w Płatnościach w Google Play Codelabs Otwieraj nowe rynki dzięki regionalnym cenom produktów Ćwiczenie w Codelabs dotyczące otwierania nowych rynków dzięki regionalnym cenom produktów w usłudze Płatności w Google Play Codelabs Dodawanie ofert przedsprzedaży produktów kupowanych raz Ćwiczenie w Codelabs dotyczące dodawania ofert przedsprzedaży produktów kupowanych raz Prywatność, bezpieczeństwo i zgodność z przepisami Przewodniki Przewodniki Zasady Google Play Zapewnianie bezpieczeństwa i komfortu Przewodniki Integralność i podpisywanie aplikacji w Google Play Więcej informacji o usługach integralności i podpisywania aplikacji w Google Play Przewodniki Interfejs Play Integrity API Wykrywanie zagrożeń i ochrona aplikacji Przewodniki Automatyczna ochrona Zapobieganie nieautoryzowanemu dostępowi Przewodniki podpisywanie aplikacji przez Google Play Bezpieczne zarządzanie kluczami podpisywania aplikacji Przewodniki Play Age Signals API Pobieranie sygnałów związanych z wiekiem użytkowników Dokumentacja API Jak korzystać z interfejsu API Dokumentacja interfejsu Play Integrity API Wykrywanie zagrożeń i ochrona aplikacji Jak korzystać z interfejsu API Dokumentacja interfejsu Play Age Signals API Pobieranie sygnałów związanych z wiekiem użytkowników Narzędzia i zasoby Przewodniki Przewodniki Pakiety Android App Bundle Tworzenie i publikowanie pakietów aplikacji Przewodniki Marka i marketing Przygotowywanie komponentów promocyjnych Przewodniki Interfejsy Play Developer API Publikowanie aplikacji w Konsoli Play i zarządzanie nimi Przewodniki Usługi Google Play Tworzenie aplikacji na Androida za pomocą pakietów SDK Google Dokumentacja API Jak korzystać z interfejsu API Dokumentacja interfejsów Play Developer API Publikowanie aplikacji w Konsoli Play i zarządzanie nimi Jak korzystać z interfejsu API Dokumentacja Usług Google Play Tworzenie aplikacji na Androida za pomocą pakietów SDK Google [[["Łatwo zrozumieć","easyToUnderstand","thumb-up"],["Rozwiązało to mój problem","solvedMyProblem","thumb-up"],["Inne","otherUp","thumb-up"]],[["Brak potrzebnych mi informacji","missingTheInformationINeed","thumb-down"],["Zbyt skomplikowane / zbyt wiele czynności do wykonania","tooComplicatedTooManySteps","thumb-down"],["Nieaktualne treści","outOfDate","thumb-down"],["Problem z tłumaczeniem","translationIssue","thumb-down"],["Problem z przykładami/kodem","samplesCodeIssue","thumb-down"],["Inne","otherDown","thumb-down"]],[],[],[]] X Obserwuj @GooglePlayBiz, aby otrzymywać wiadomości i pomoc Średni Przeczytaj artykuły i przemyślenia branżowe przesłane przez zespół Google Play LinkedIn Kontakt ze społecznością firmową Google Play Pomoc dla programistów Uzyskaj pomoc na Forum pomocy dla deweloperów w Google Play Więcej informacji o Androidzie Android Android dla firm Zabezpieczenia Źródło Wiadomości Blog Podcasty Odkrywaj Gry Systemy uczące się Zdrowie i fitness Aparat i multimedia Prywatność 5G Urządzenia z Androidem Duże ekrany Wear OS Urządzenia z ChromeOS Android do samochodu Android TV Wersje Android 15 Android 14 Android 13 Android 12 Android 11 Android 10 Pie Dokumentacja i pliki do pobrania Przewodnik po Android Studio Przewodniki dla programistów Dokumentacja API Pobierz Studio Android NDK Pomoc Zgłoś problem z platformą Zgłoś problem z dokumentacją Google Play support Weź udział w badaniach Android Chrome Firebase Google Cloud Platform Wszystkie usługi Prywatność Licencja Wytyczne dotyczące marki Manage cookies Otrzymuj e-mailem wiadomości i porady Subskrybuj English Deutsch Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어
2026-01-13T09:29:39
https://dri.es/mollom-for-midgard
Mollom for Midgard | Dries Buytaert Dries Buytaert Blog Projects Photos About Mollom for Midgard Henri Bergius has integrated Mollom into the Midgard open source content management framework. From Henri's release announcement : When enabled, all posts sent to Midgard either on-site or using the email import tools will be passed to Mollom for assessment. If Mollom finds them spam or ham, they will be moderated accordingly. This should save a lot of time policing the site. Midgard provides an object-oriented platform for building data-intensive applications, and ships with its own content management system built on the Midgard framework. Its CMS solution features an interface for installing components that provide additional functionality, like Mollom's spam-filtering web service. The Mollom component will be available in the soon-to-be-released Midgard 8.09.3 version . Thanks Henri! — Dries Buytaert Calendar icon December 29, 2008 Clock icon 34 sec read time Tag icon Mollom Mollom plugins db
2026-01-13T09:29:39
https://support.microsoft.com/en-gb/office/send-praise-to-people-in-microsoft-teams-50f26b47-565f-40fe-8642-5ca2a5ed261e
Send Praise to people in Microsoft Teams - Microsoft Support Related topics &times; Chat topics Send messages Start a chat with others Send and read Send a file, picture, or link Send an emoji, GIF, or sticker Select your emoji skin tone Use custom emoji Read receipts Format a message Use collaborative notes in chat Check your spelling in multiple languages Use suggested replies Like or react to messages Copy and paste Mark a message as important or urgent Share your screen in a chat Share a contact Forward a message Report messages Use file suggestions Record a video clip Use text predictions Schedule chat messages Chat outside a team Add or invite people outside your org to a chat Accept people outside your org Block or unblock people outside your org Send messages to Skype for Business users Manage messages Edit or delete a message Save a message Hide a chat or leave a chat thread Pin a chat message Hide, unhide, mute, add a chat to Favorites, or mark a chat as unread Accept or block chat requests from people inside your org Open a chat in a new window Prevent spam or phishing attempts from external chats Search for messages Translate a message Change the spacing Preview messages Show chat info Manage chats with the Teams mobile app Share to Outlook from Teams Group chat Leave or remove someone from a group chat Personalize your group chat image Chat with members from distribution list or M365 group Share a link to a specific message Learn more Use slash commands Send Praise to people Use code blocks Send code snippets in a message Use Markdown formatting Use Immersive Reader Do your one-on-ones with Teams chat Get started with storyline Skip to main content Microsoft Support Support Support Home Microsoft 365 Office Teams support Topics Meetings Chat Notifications &amp; settings Teams &amp; channels Calls &amp; devices Files Apps &amp; services Quick start Chat Group chat Notifications Teams Channels Calls Files Apps Loop components What&#39;s new Resources Video training Troubleshoot Here in Teams Accessibility Teams features by platform Microsoft Teams (free) Community forums Tech community blog Instructor-lead training For admins and IT pro For Education More Buy Microsoft 365 All Microsoft Global Microsoft 365 Teams Copilot Windows Surface Xbox Deals Small Business Support Software Software Windows Apps AI OneDrive Outlook Moving from Skype to Teams OneNote Microsoft Teams PCs &amp; Devices PCs &amp; Devices Shop Xbox Accessories VR &amp; mixed reality Entertainment Entertainment Xbox Game Pass Ultimate Xbox games PC games Business Business Microsoft Security Azure Dynamics 365 Microsoft 365 for business Microsoft Industry Microsoft Power Platform Windows 365 Developer &amp; IT Developer &amp; IT Microsoft Developer Microsoft Learn Support for AI marketplace apps Microsoft Tech Community Microsoft Marketplace Visual Studio Marketplace Rewards Other Other Microsoft Rewards Free downloads &amp; security Education Gift cards Licensing View Sitemap Search Search for help No results Cancel Sign in Sign in with Microsoft Sign in or create an account. Hello, Select a different account. You have multiple accounts Choose the account you want to sign in with. Related topics Chat topics Send messages Start a chat with others Send and read Send a file, picture, or link Send an emoji, GIF, or sticker Select your emoji skin tone Use custom emoji Read receipts Format a message Use collaborative notes in chat Check your spelling in multiple languages Use suggested replies Like or react to messages Copy and paste Mark a message as important or urgent Share your screen in a chat Share a contact Forward a message Report messages Use file suggestions Record a video clip Use text predictions Schedule chat messages Chat outside a team Add or invite people outside your org to a chat Accept people outside your org Block or unblock people outside your org Send messages to Skype for Business users Manage messages Edit or delete a message Save a message Hide a chat or leave a chat thread Pin a chat message Hide, unhide, mute, add a chat to Favorites, or mark a chat as unread Accept or block chat requests from people inside your org Open a chat in a new window Prevent spam or phishing attempts from external chats Search for messages Translate a message Change the spacing Preview messages Show chat info Manage chats with the Teams mobile app Share to Outlook from Teams Group chat Leave or remove someone from a group chat Personalize your group chat image Chat with members from distribution list or M365 group Share a link to a specific message Learn more Use slash commands Send Praise to people Use code blocks Send code snippets in a message Use Markdown formatting Use Immersive Reader Do your one-on-ones with Teams chat Get started with storyline Send Praise to people in Microsoft Teams Send acclaim to your employees and coworkers with Praise. Deliver in a chat, or for wider recognition, send it in a channel conversation. Desktop Mobile To praise someone on your team: Select Chat  in Teams. Open the chat conversation with the person you want to praise. Select Actions and apps    &gt; Praise  in the chat compose box. Titles default to  Awesome . To send a different title with your praise message, select a new one from the  Title  section. Scroll to the right to find more options. Add an optional note of up to 500 characters. Select Preview . Once it's ready to go, select  Send . To praise someone on your team: Next to the compose box for a new message or reply, tap More options     &gt; Praise  . Choose a badge. Add recipient(s), and then tap the note area to add a note. Tap next. Once it's ready to go, select  Send .​​​​​​​​​​​​​​ SUBSCRIBE RSS FEEDS Need more help? Want more options? Discover Community Explore subscription benefits, browse training courses, learn how to secure your device, and more. Microsoft 365 subscription benefits Microsoft 365 training Microsoft security Accessibility center Communities help you ask and answer questions, give feedback, and hear from experts with rich knowledge. Ask the Microsoft Community Microsoft Tech Community Windows Insiders Microsoft 365 Insiders Was this information helpful? Yes No Thank you! Any more feedback for Microsoft? Can you help us improve? (Send feedback to Microsoft so we can help.) What affected your experience? Resolved my issue Clear instructions Easy to follow No jargon Pictures helped Other Didn't match my screen Incorrect instructions Too technical Not enough information Not enough pictures Other Any additional feedback? (Optional) Submit feedback By pressing submit, your feedback will be used to improve Microsoft products and services. Your IT admin will be able to collect this data. Privacy Statement. 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2026-01-13T09:29:39
https://creativecommons.org/2017/10/12/certificates/
CC Certificates spring into action - Creative Commons Skip to content Creative Commons Menu Who We Are What We Do Licenses and Tools Blog Support Us English --> Search Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. --> Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Global Summit Attend our annual event, promoting the power of open licensing Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Open Source Help us build products that maximize creativity and innovation Help us protect the commons. Make a tax deductible gift to fund our work. Donate today! CC Certificates spring into action by Jennie Rose Halperin lead in paragraph --> About CC --> CC Certs Team by Creative Commons, CC BY In order to better teach open tools and practices to communities around the world, Creative Commons has developed open educational resources and a certification program called the CC Certificate. CC’s Senior Counsel Sarah Hinchliff Pearson is now leading the project with a group of researchers, writers, and instructional designers. The project is funded by the Gates Foundation and the Institute for Museum and Library Services (IMLS). The CC Certificate program is a training program that leads people through the basics about the organization, copyright law, and the CC tools. The goal is to equip people with the knowledge and skills they need to advocate for and support adoption of CC licensing in their work and creative pursuits. There are a wealth of opportunities to tailor the certificate to specific audiences. Initially we’re focusing on two groups: academic librarians and educators. The certificate for these two segments will run as a 12-week online course on Canvas , facilitated by an instructor fluent in the issues and opportunities surrounding CC licensing and open collaboration. The majority of the content will cover the basics of copyright and open licensing, and participants will be expected to choose either the academic librarian or educator track because the final unit will be domain-specific. The content will include online discussions, quizzes, and learning activities throughout to help solidify concepts and allow learners to demonstrate their understanding. The course will be entirely online, but CC may eventually offer an optional in-person session as a capstone offering at the end of the course. Upon successful completion, students will receive a certificate from Creative Commons. Of course, the underlying course content will be freely available to the public and CC-licensed, including text, images, and videos. The content covers Creative Commons as a whole – the organization, the tools, and the movement. We are treating this as a chance to tell the full story of what CC is and what we do. The materials include sections on the basics of copyright law, many of the ins and outs of CC licenses, practical information about how to use the licenses and how to use CC-licensed work, information about the values connected to use of CC, and case studies about what it looks like in the real world. For a full preview of the course topics, see the current syllabus here. The full beta test of the 12-week course will begin in January, with the official certification program launching after the Global Summit from April 13-15 in Toronto, Canada. We will be running one library-specific track and one education-specific track during the beta phase and will be asking participants to help us evaluate and shape the content.  The beta is full, but please join our mailing list to learn more about the program when it launches in April. We expect the CC Global Network will play a crucial role in this program. In the future, we hope network members can be certified in order to help run the course in their parts of the world. Over the course of the next year, we will be exploring customization of the project for three different audiences: GLAM professionals, lawyers, and governments. An early, abbreviated version of the certificate beta has already been delivered to more than 150 academic librarians in the US, with great success. We are anxious to expand the program to fit a greater variety of professions, and to work with and empower the future leaders of the commons. Any questions, comments, or suggestions? Get in touch with us via Slack or Twitter. For even more CC content, please sign up for our email list. Posted 12 October 2017 Tags certificates OER Related posts Building the Future in 2026 by Anna Tumadóttir About CC What We Built Together in 2025 by Anna Tumadóttir About CC Where CC Stands on Pay-to-Crawl by Creative Commons Policy , Sustaining the Commons Integrating Choices in Open Standards: CC Signals and the RSL Standard by Anna Tumadóttir Licenses &amp; Tools , Sustaining the Commons Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org Instagram --> Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome .
2026-01-13T09:29:39
https://support.atlassian.com/ja/assets/docs/learn-about-adapters/
アダプターの詳細 | アセット | アトラシアン サポート メイン コンテンツにスキップ アセットのサポート アプリ 使用を開始する 関連ドキュメント リソース お問い合わせ サインイン サインイン Cloud 向けアセット 関連ドキュメント アセットを開始する ITAM(IT 資産管理)へのアセット ガイド IT 資産管理 (ITAM) 用のオブジェクト スキーマを構築する IT 資産管理 (ITAM) の属性を作成する IT 資産管理 (ITAM) 用のオブジェクト スキーマを設定する IT 資産管理 (ITAM) 用のインポート構造を作成する IT 資産管理 (ITAM) 用にインポートされたデータのマッピング アセット データ マネージャーでデータを接続、クレンジング、調整する アセット データ マネージャーの詳細 データ マネージャーとは何ですか? データマネージャーは何に使用されますか? カスタマーはどのようにアセット データ マネージャーを使用していますか? アセット データ マネージャーはどのような問題の解決に役立ちますか? データ マネージャーを使用する準備はどのようにすればよいですか? データのエラーをトラブルシューティングするにはどうすればよいですか? アセット データ マネージャーのコンプライアンスとレジデンシーにはどのようなものが期待されますか? データ マネージャーの要件と制限は何ですか? データ マネージャーのステージとは何ですか? データ マネージャーのアーキテクチャとは アダプターの詳細 データ マネージャー - データ ソース アグリゲート アダプター データ マネージャー - フラット ファイル アダプター データ マネージャー - スキーマ アダプター データ マネージャー - SQL &amp; ODBC アダプター データ マネージャー - Active Directory アダプター データ マネージャー - Azure 仮想マシン アダプター データ マネージャー - Defender アダプター データ マネージャー - Entra ID デバイス アダプター データ マネージャー - Entra ID ユーザー アダプタ データ マネージャー - Falcon アダプター データ マネージャー - FNMS/Flexera One アダプター <a href="/ja/assets
2026-01-13T09:29:39
https://google.github.io/adk-docs/agents/models/#google-cloud-vertex-ai
Models & Authentication - Agent Development Kit Agent Development Kit Skip to content Agent Development Kit Models & Authentication Initializing search adk-python adk-js adk-go adk-java Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NON-INFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. --> adk-python adk-js adk-go adk-java Home Home Build Agents Build Agents Get Started Get Started Python TypeScript Go Java Build your Agent Build your Agent Multi-tool agent Agent team Streaming agent Streaming agent Python Java Visual Builder Coding with AI Advanced setup Agents Agents LLM agents Workflow agents Workflow agents Sequential agents Loop agents Parallel agents Custom agents Multi-agent systems Agent Config Models & Authentication Models & Authentication Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Tools for Agents Tools for Agents Gemini API tools Gemini API tools Code Execution Computer use Google Search Google Cloud tools Google Cloud tools Apigee API Hub Application Integration BigQuery Bigtable Cloud API Registry Code Execution with Agent Engine GKE Code Executor MCP Toolbox for Databases RAG Engine Spanner Vertex AI Search Third-party tools Third-party tools Atlassian GitHub GitLab Hugging Face Linear n8n Notion PayPal Qdrant Agentic UI (AG-UI) Tool limitations Custom Tools Custom Tools Function tools Function tools Overview Tool performance Action confirmations MCP tools OpenAPI tools Authentication Run Agents Run Agents Agent Runtime Agent Runtime Runtime Config API Server Resume Agents Deployment Deployment Agent Engine Agent Engine Standard deployment Agent Starter Pack Test deployed agents Cloud Run GKE Observability Observability Logging Cloud Trace BigQuery Agent Analytics AgentOps Arize AX Freeplay MLflow Monocle Phoenix W&B Weave Evaluation Evaluation Criteria User Simulation Safety and Security Safety and Security Components Components Technical Overview Context Context Context caching Context compression Sessions & Memory Sessions & Memory Sessions Sessions Overview Rewind sessions State Memory Vertex AI Express Mode Callbacks Callbacks Types of callbacks Callback patterns Artifacts Artifacts Events Events Apps Apps Plugins Plugins Reflect and retry MCP MCP A2A Protocol A2A Protocol Introduction to A2A A2A Quickstart (Exposing) A2A Quickstart (Exposing) Python Go A2A Quickstart (Consuming) A2A Quickstart (Consuming) Python Go Bidi-streaming (live) Bidi-streaming (live) Bidi-streaming development guide series Bidi-streaming development guide series Part 1. Intro to streaming Part 2. Sending messages Part 3. Event handling Part 4. Run configuration Part 5. Audio, Images, and Video Streaming Tools Configuring Bidi-streaming behavior Grounding Grounding Understanding Google Search Grounding Understanding Vertex AI Search Grounding Reference Reference Release Notes API Reference API Reference Python ADK Typescript ADK Go ADK Java ADK CLI Reference Agent Config Reference REST API Community Resources Contributing Guide Table of contents Google Gemini models Gemini Interactions API Known limitations Gemini model authentication Google AI Studio Google Cloud Vertex AI Method A: User Credentials (for Local Development) Method B: Vertex AI Express Mode Method C: Service Account (for Production &amp; Automation) Troubleshooting Error Code 429 - RESOURCE_EXHAUSTED Using Anthropic models Using Apigee gateway for AI models Using Cloud &amp; Proprietary Models via LiteLLM Using Open &amp; Local Models via LiteLLM Ollama Integration Model choice Using ollama_chat provider Using openai provider Debugging Self-Hosted Endpoint (e.g., vLLM) Using Hosted &amp; Tuned Models on Vertex AI Model Garden Deployments Fine-tuned Model Endpoints Third-Party Models on Vertex AI (e.g., Anthropic Claude) Build Agents Agents Using Different Models with ADK &para; Supported in ADK Python v0.1.0 Typescript v0.2.0 Go v0.1.0 Java v0.1.0 The Agent Development Kit (ADK) is designed for flexibility, allowing you to integrate various Large Language Models (LLMs) into your agents. While the setup for Google Gemini models is covered in the Setup Foundation Models guide, this page details how to leverage Gemini effectively and integrate other popular models, including those hosted externally or running locally. ADK primarily uses two mechanisms for model integration: Direct String / Registry: For models tightly integrated with Google Cloud (like Gemini models accessed via Google AI Studio or Vertex AI) or models hosted on Vertex AI endpoints. You typically provide the model name or endpoint resource string directly to the LlmAgent . ADK's internal registry resolves this string to the appropriate backend client, often utilizing the google-genai library. Wrapper Classes: For broader compatibility, especially with models outside the Google ecosystem or those requiring specific client configurations (like models accessed via Apigee or LiteLLM). You instantiate a specific wrapper class (e.g., ApigeeLlm or LiteLlm ) and pass this object as the model parameter to your LlmAgent . The following sections guide you through using these methods based on your needs. Google Gemini models &para; ADK supports the Google Gemini family of generative AI models that provide a powerful set of models with a wide range of features. ADK provides support for many Gemini features, including Code Execution , Google Search , Context caching , Computer use and the Interactions API . Gemini Interactions API &para; Supported in ADK Python v1.21.0 The Gemini Interactions API is an alternative to the generateContent inference API, which provides stateful conversation capabilities, allowing you to chain interactions using a previous_interaction_id instead of sending the full conversation history with each request. Using this feature can be more efficient for long conversations. You can enable the Interactions API by settting the use_interactions_api=True parameter in the Gemini model configuration, as shown in the following code snippet: from google.adk.agents.llm_agent import Agent from google.adk.models.google_llm import Gemini from google.adk.tools.google_search_tool import GoogleSearchTool root_agent = Agent ( model = Gemini ( model = &quot;gemini-2.5-flash&quot; , use_interactions_api = True , # Enable Interactions API ), name = &quot;interactions_test_agent&quot; , tools = [ GoogleSearchTool ( bypass_multi_tools_limit = True ), # Converted to function tool get_current_weather , # Custom function tool ], ) For a complete code sample, see the Interactions API sample . Known limitations &para; The Interactions API does not support mixing custom function calling tools with built-in tools, such as the Google Search , tool, within the same agent. You can work around this limitation by configuring the the built-in tool to operate as a custom tool using the bypass_multi_tools_limit parameter: # Use bypass_multi_tools_limit=True to convert google_search to a function tool GoogleSearchTool ( bypass_multi_tools_limit = True ) In this example, this option converts the built-in google_search to a function calling tool (via GoogleSearchAgentTool), which allows it to work alongside custom function tools. Gemini model authentication &para; This section covers authenticating with Google's Gemini models, either through Google AI Studio for rapid development or Google Cloud Vertex AI for enterprise applications. This is the most direct way to use Google's flagship models within ADK. Integration Method: Once you are authenticated using one of the below methods, you can pass the model's identifier string directly to the model parameter of LlmAgent . Tip The google-genai library, used internally by ADK for Gemini models, can connect through either Google AI Studio or Vertex AI. Model support for voice/video streaming In order to use voice/video streaming in ADK, you will need to use Gemini models that support the Live API. You can find the model ID(s) that support the Gemini Live API in the documentation: Google AI Studio: Gemini Live API Vertex AI: Gemini Live API Google AI Studio &para; This is the simplest method and is recommended for getting started quickly. Authentication Method: API Key Setup: Get an API key: Obtain your key from Google AI Studio . Set environment variables: Create a .env file (Python) or .properties (Java) in your project's root directory and add the following lines. ADK will automatically load this file. export GOOGLE_API_KEY = &quot;YOUR_GOOGLE_API_KEY&quot; export GOOGLE_GENAI_USE_VERTEXAI = FALSE (or) Pass these variables during the model initialization via the Client (see example below). Models: Find all available models on the Google AI for Developers site . Google Cloud Vertex AI &para; For scalable and production-oriented use cases, Vertex AI is the recommended platform. Gemini on Vertex AI supports enterprise-grade features, security, and compliance controls. Based on your development environment and usecase, choose one of the below methods to authenticate . Pre-requisites: A Google Cloud Project with Vertex AI enabled . Method A: User Credentials (for Local Development) &para; Install the gcloud CLI: Follow the official installation instructions . Log in using ADC: This command opens a browser to authenticate your user account for local development. gcloud auth application-default login Set environment variables: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Explicitly tell the library to use Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Models: Find available model IDs in the Vertex AI documentation . Method B: Vertex AI Express Mode &para; Vertex AI Express Mode offers a simplified, API-key-based setup for rapid prototyping. Sign up for Express Mode to get your API key. Set environment variables: export GOOGLE_API_KEY = &quot;PASTE_YOUR_EXPRESS_MODE_API_KEY_HERE&quot; export GOOGLE_GENAI_USE_VERTEXAI = TRUE Method C: Service Account (for Production &amp; Automation) &para; For deployed applications, a service account is the standard method. Create a Service Account and grant it the Vertex AI User role. Provide credentials to your application: On Google Cloud: If you are running the agent in Cloud Run, GKE, VM or other Google Cloud services, the environment can automatically provide the service account credentials. You don't have to create a key file. Elsewhere: Create a service account key file and point to it with an environment variable: export GOOGLE_APPLICATION_CREDENTIALS = &quot;/path/to/your/keyfile.json&quot; Instead of the key file, you can also authenticate the service account using Workload Identity. But this is outside the scope of this guide. Example: Python Go Java from google.adk.agents import LlmAgent # --- Example using a stable Gemini Flash model --- agent_gemini_flash = LlmAgent ( # Use the latest stable Flash model identifier model = &quot;gemini-2.5-flash&quot; , name = &quot;gemini_flash_agent&quot; , instruction = &quot;You are a fast and helpful Gemini assistant.&quot; , # ... other agent parameters ) # --- Example using a powerful Gemini Pro model --- # Note: Always check the official Gemini documentation for the latest model names, # including specific preview versions if needed. Preview models might have # different availability or quota limitations. agent_gemini_pro = LlmAgent ( # Use the latest generally available Pro model identifier model = &quot;gemini-2.5-pro-preview-03-25&quot; , name = &quot;gemini_pro_agent&quot; , instruction = &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , # ... other agent parameters ) import ( &quot;google.golang.org/adk/agent/llmagent&quot; &quot;google.golang.org/adk/model/gemini&quot; &quot;google.golang.org/genai&quot; ) // --- Example using a stable Gemini Flash model --- modelFlash , err := gemini . NewModel ( ctx , &quot;gemini-2.0-flash&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiFlash , err := llmagent . New ( llmagent . Config { // Use the latest stable Flash model identifier Model : modelFlash , Name : &quot;gemini_flash_agent&quot; , Instruction : &quot;You are a fast and helpful Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example using a powerful Gemini Pro model --- // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. modelPro , err := gemini . NewModel ( ctx , &quot;gemini-2.5-pro-preview-03-25&quot; , &amp; genai . ClientConfig {}) if err != nil { log . Fatalf ( &quot;failed to create model: %v&quot; , err ) } agentGeminiPro , err := llmagent . New ( llmagent . Config { // Use the latest generally available Pro model identifier Model : modelPro , Name : &quot;gemini_pro_agent&quot; , Instruction : &quot;You are a powerful and knowledgeable Gemini assistant.&quot; , // ... other agent parameters }) if err != nil { log . Fatalf ( &quot;failed to create agent: %v&quot; , err ) } // --- Example #1: using a stable Gemini Flash model with ENV variables--- LlmAgent agentGeminiFlash = LlmAgent . builder () // Use the latest stable Flash model identifier . model ( &quot;gemini-2.5-flash&quot; ) // Set ENV variables to use this model . name ( &quot;gemini_flash_agent&quot; ) . instruction ( &quot;You are a fast and helpful Gemini assistant.&quot; ) // ... other agent parameters . build (); // --- Example #2: using a powerful Gemini Pro model with API Key in model --- LlmAgent agentGeminiPro = LlmAgent . builder () // Use the latest generally available Pro model identifier . model ( new Gemini ( &quot;gemini-2.5-pro-preview-03-25&quot; , Client . builder () . vertexAI ( false ) . apiKey ( &quot;API_KEY&quot; ) // Set the API Key (or) project/ location . build ())) // Or, you can also directly pass the API_KEY // .model(new Gemini(&quot;gemini-2.5-pro-preview-03-25&quot;, &quot;API_KEY&quot;)) . name ( &quot;gemini_pro_agent&quot; ) . instruction ( &quot;You are a powerful and knowledgeable Gemini assistant.&quot; ) // ... other agent parameters . build (); // Note: Always check the official Gemini documentation for the latest model names, // including specific preview versions if needed. Preview models might have // different availability or quota limitations. Secure Your Credentials Service account credentials or API keys are powerful credentials. Never expose them publicly. Use a secret manager such as Google Cloud Secret Manager to store and access them securely in production. Troubleshooting &para; Error Code 429 - RESOURCE_EXHAUSTED &para; This error usually happens if the number of your requests exceeds the capacity allocated to process requests. To mitigate this, you can do one of the following: Request higher quota limits for the model you are trying to use. Enable client-side retries. Retries allow the client to automatically retry the request after a delay, which can help if the quota issue is temporary. There are two ways you can set retry options: Option 1: Set retry options on the Agent as a part of generate_content_config. You would use this option if you are instantiating this model adapter by yourself. root_agent = Agent ( model = &#39;gemini-2.5-flash&#39; , ... generate_content_config = types . GenerateContentConfig ( ... http_options = types . HttpOptions ( ... retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ... ), ... ) Option 2: Retry options on this model adapter. You would use this option if you were instantiating the instance of adapter by yourself. from google.genai import types # ... agent = Agent ( model = Gemini ( retry_options = types . HttpRetryOptions ( initial_delay = 1 , attempts = 2 ), ) ) Using Anthropic models &para; Supported in ADK Java v0.2.0 You can integrate Anthropic's Claude models directly using their API key or from a Vertex AI backend into your Java ADK applications by using the ADK's Claude wrapper class. For Vertex AI backend, see the Third-Party Models on Vertex AI section. Prerequisites: Dependencies: Anthropic SDK Classes (Transitive): The Java ADK's com.google.adk.models.Claude wrapper relies on classes from Anthropic's official Java SDK. These are typically included as transitive dependencies . Anthropic API Key: Obtain an API key from Anthropic. Securely manage this key using a secret manager. Integration: Instantiate com.google.adk.models.Claude , providing the desired Claude model name and an AnthropicOkHttpClient configured with your API key. Then, pass this Claude instance to your LlmAgent . Example: import com.anthropic.client.AnthropicClient ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; // From Anthropic&#39;s SDK public class DirectAnthropicAgent { private static final String CLAUDE_MODEL_ID = &quot;claude-3-7-sonnet-latest&quot; ; // Or your preferred Claude model public static LlmAgent createAgent () { // It&#39;s recommended to load sensitive keys from a secure config AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . apiKey ( &quot;ANTHROPIC_API_KEY&quot; ) . build (); Claude claudeModel = new Claude ( CLAUDE_MODEL_ID , anthropicClient ); return LlmAgent . builder () . name ( &quot;claude_direct_agent&quot; ) . model ( claudeModel ) . instruction ( &quot;You are a helpful AI assistant powered by Anthropic Claude.&quot; ) // ... other LlmAgent configurations . build (); } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created direct Anthropic agent: &quot; + agent . name ()); } catch ( IllegalStateException e ) { System . err . println ( &quot;Error creating agent: &quot; + e . getMessage ()); } } } Using Apigee gateway for AI models &para; Supported in ADK Python v1.18.0 Java v0.4.0 Apigee acts as a powerful AI Gateway , transforming how you manage and govern your generative AI model traffic. By exposing your AI model endpoint (like Vertex AI or the Gemini API) through an Apigee proxy, you immediately gain enterprise-grade capabilities: Model Safety: Implement security policies like Model Armor for threat protection. Traffic Governance: Enforce Rate Limiting and Token Limiting to manage costs and prevent abuse. Performance: Improve response times and efficiency using Semantic Caching and advanced model routing. Monitoring &amp; Visibility: Get granular monitoring, analysis, and auditing of all your AI requests. NOTE: The ApigeeLLM wrapper is currently designed for use with Vertex AI and the Gemini API (generateContent). We are continually expanding support for other models and interfaces. Integration Method: To integrate Apigee's governance into your agent's workflow, simply instantiate the ApigeeLlm wrapper and pass it to an LlmAgent or other agent type. Example: Python Java from google.adk.agents import LlmAgent from google.adk.models.apigee_llm import ApigeeLlm # Instantiate the ApigeeLlm wrapper model = ApigeeLlm ( # Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation (https://github.com/google/adk-python/tree/main/contributing/samples/hello_world_apigeellm). model = &quot;apigee/gemini-2.5-flash&quot; , # The proxy URL of your deployed Apigee proxy including the base path proxy_url = f &quot;https:// { APIGEE_PROXY_URL } &quot; , # Pass necessary authentication/authorization headers (like an API key) custom_headers = { &quot;foo&quot; : &quot;bar&quot; } ) # Pass the configured model wrapper to your LlmAgent agent = LlmAgent ( model = model , name = &quot;my_governed_agent&quot; , instruction = &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; , # ... other agent parameters ) import com.google.adk.agents.LlmAgent ; import com.google.adk.models.ApigeeLlm ; import com.google.common.collect.ImmutableMap ; ApigeeLlm apigeeLlm = ApigeeLlm . builder () . modelName ( &quot;apigee/gemini-2.5-flash&quot; ) // Specify the Apigee route to your model. For more info, check out the ApigeeLlm documentation . proxyUrl ( APIGEE_PROXY_URL ) //The proxy URL of your deployed Apigee proxy including the base path . customHeaders ( ImmutableMap . of ( &quot;foo&quot; , &quot;bar&quot; )) //Pass necessary authentication/authorization headers (like an API key) . build (); LlmAgent agent = LlmAgent . builder () . model ( apigeeLlm ) . name ( &quot;my_governed_agent&quot; ) . description ( &quot;my_governed_agent&quot; ) . instruction ( &quot;You are a helpful assistant powered by Gemini and governed by Apigee.&quot; ) // tools will be added next . build (); With this configuration, every API call from your agent will be routed through Apigee first, where all necessary policies (security, rate limiting, logging) are executed before the request is securely forwarded to the underlying AI model endpoint. For a full code example using the Apigee proxy, see Hello World Apigee LLM Using Cloud &amp; Proprietary Models via LiteLLM &para; Supported in ADK Python v0.1.0 To access a vast range of LLMs from providers like OpenAI, Anthropic (non-Vertex AI), Cohere, and many others, ADK offers integration through the LiteLLM library. Integration Method: Instantiate the LiteLlm wrapper class and pass it to the model parameter of LlmAgent . LiteLLM Overview: LiteLLM acts as a translation layer, providing a standardized, OpenAI-compatible interface to over 100+ LLMs. Setup: Install LiteLLM: pip install litellm Set Provider API Keys: Configure API keys as environment variables for the specific providers you intend to use. Example for OpenAI: export OPENAI_API_KEY = &quot;YOUR_OPENAI_API_KEY&quot; Example for Anthropic (non-Vertex AI): export ANTHROPIC_API_KEY = &quot;YOUR_ANTHROPIC_API_KEY&quot; Consult the LiteLLM Providers Documentation for the correct environment variable names for other providers. Example: from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using OpenAI&#39;s GPT-4o --- # (Requires OPENAI_API_KEY) agent_openai = LlmAgent ( model = LiteLlm ( model = &quot;openai/gpt-4o&quot; ), # LiteLLM model string format name = &quot;openai_agent&quot; , instruction = &quot;You are a helpful assistant powered by GPT-4o.&quot; , # ... other agent parameters ) # --- Example Agent using Anthropic&#39;s Claude Haiku (non-Vertex) --- # (Requires ANTHROPIC_API_KEY) agent_claude_direct = LlmAgent ( model = LiteLlm ( model = &quot;anthropic/claude-3-haiku-20240307&quot; ), name = &quot;claude_direct_agent&quot; , instruction = &quot;You are an assistant powered by Claude Haiku.&quot; , # ... other agent parameters ) Windows Encoding Note for LiteLLM When using ADK agents with LiteLLM on Windows, you might encounter a UnicodeDecodeError . This error occurs because LiteLLM may attempt to read cached files using the default Windows encoding ( cp1252 ) instead of UTF-8. To prevent this, we recommend setting the PYTHONUTF8 environment variable to 1 . This forces Python to use UTF-8 for all file I/O. Example (PowerShell): # Set for the current session $env:PYTHONUTF8 = &quot;1&quot; # Set persistently for the user [System.Environment] :: SetEnvironmentVariable ( &#39;PYTHONUTF8&#39; , &#39;1&#39; , [System.EnvironmentVariableTarget] :: User ) Using Open &amp; Local Models via LiteLLM &para; Supported in ADK Python v0.1.0 For maximum control, cost savings, privacy, or offline use cases, you can run open-source models locally or self-host them and integrate them using LiteLLM. Integration Method: Instantiate the LiteLlm wrapper class, configured to point to your local model server. Ollama Integration &para; Ollama allows you to easily run open-source models locally. Model choice &para; If your agent is relying on tools, please make sure that you select a model with tool support from Ollama website . For reliable results, we recommend using a decent-sized model with tool support. The tool support for the model can be checked with the following command: ollama show mistral-small3.1 Model architecture mistral3 parameters 24 .0B context length 131072 embedding length 5120 quantization Q4_K_M Capabilities completion vision tools You are supposed to see tools listed under capabilities. You can also look at the template the model is using and tweak it based on your needs. ollama show --modelfile llama3.2 &gt; model_file_to_modify For instance, the default template for the above model inherently suggests that the model shall call a function all the time. This may result in an infinite loop of function calls. Given the following functions, please respond with a JSON for a function call with its proper arguments that best answers the given prompt. Respond in the format {&quot;name&quot;: function name, &quot;parameters&quot;: dictionary of argument name and its value}. Do not use variables. You can swap such prompts with a more descriptive one to prevent infinite tool call loops. For instance: Review the user&#39;s prompt and the available functions listed below. First, determine if calling one of these functions is the most appropriate way to respond. A function call is likely needed if the prompt asks for a specific action, requires external data lookup, or involves calculations handled by the functions. If the prompt is a general question or can be answered directly, a function call is likely NOT needed. If you determine a function call IS required: Respond ONLY with a JSON object in the format {&quot;name&quot;: &quot;function_name&quot;, &quot;parameters&quot;: {&quot;argument_name&quot;: &quot;value&quot;}}. Ensure parameter values are concrete, not variables. If you determine a function call IS NOT required: Respond directly to the user&#39;s prompt in plain text, providing the answer or information requested. Do not output any JSON. Then you can create a new model with the following command: ollama create llama3.2-modified -f model_file_to_modify Using ollama_chat provider &para; Our LiteLLM wrapper can be used to create agents with Ollama models. root_agent = Agent ( model = LiteLlm ( model = &quot;ollama_chat/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) It is important to set the provider ollama_chat instead of ollama . Using ollama will result in unexpected behaviors such as infinite tool call loops and ignoring previous context. While api_base can be provided inside LiteLLM for generation, LiteLLM library is calling other APIs relying on the env variable instead as of v1.65.5 after completion. So at this time, we recommend setting the env variable OLLAMA_API_BASE to point to the ollama server. export OLLAMA_API_BASE = &quot;http://localhost:11434&quot; adk web Using openai provider &para; Alternatively, openai can be used as the provider name. But this will also require setting the OPENAI_API_BASE=http://localhost:11434/v1 and OPENAI_API_KEY=anything env variables instead of OLLAMA_API_BASE . Please note that api base now has /v1 at the end. root_agent = Agent ( model = LiteLlm ( model = &quot;openai/mistral-small3.1&quot; ), name = &quot;dice_agent&quot; , description = ( &quot;hello world agent that can roll a dice of 8 sides and check prime&quot; &quot; numbers.&quot; ), instruction = &quot;&quot;&quot; You roll dice and answer questions about the outcome of the dice rolls. &quot;&quot;&quot; , tools = [ roll_die , check_prime , ], ) export OPENAI_API_BASE = http://localhost:11434/v1 export OPENAI_API_KEY = anything adk web Debugging &para; You can see the request sent to the Ollama server by adding the following in your agent code just after imports. import litellm litellm . _turn_on_debug () Look for a line like the following: Request Sent from LiteLLM: curl -X POST \ http://localhost:11434/api/chat \ -d &#39;{&#39; model &#39;: &#39; mistral-small3.1 &#39;, &#39; messages &#39;: [{&#39; role &#39;: &#39; system &#39;, &#39; content &#39; : ... Self-Hosted Endpoint (e.g., vLLM) &para; Supported in ADK Python Tools such as vLLM allow you to host models efficiently and often expose an OpenAI-compatible API endpoint. Setup: Deploy Model: Deploy your chosen model using vLLM (or a similar tool). Note the API base URL (e.g., https://your-vllm-endpoint.run.app/v1 ). Important for ADK Tools: When deploying, ensure the serving tool supports and enables OpenAI-compatible tool/function calling. For vLLM, this might involve flags like --enable-auto-tool-choice and potentially a specific --tool-call-parser , depending on the model. Refer to the vLLM documentation on Tool Use. Authentication: Determine how your endpoint handles authentication (e.g., API key, bearer token). Integration Example: import subprocess from google.adk.agents import LlmAgent from google.adk.models.lite_llm import LiteLlm # --- Example Agent using a model hosted on a vLLM endpoint --- # Endpoint URL provided by your vLLM deployment api_base_url = &quot;https://your-vllm-endpoint.run.app/v1&quot; # Model name as recognized by *your* vLLM endpoint configuration model_name_at_endpoint = &quot;hosted_vllm/google/gemma-3-4b-it&quot; # Example from vllm_test.py # Authentication (Example: using gcloud identity token for a Cloud Run deployment) # Adapt this based on your endpoint&#39;s security try : gcloud_token = subprocess . check_output ( [ &quot;gcloud&quot; , &quot;auth&quot; , &quot;print-identity-token&quot; , &quot;-q&quot; ] ) . decode () . strip () auth_headers = { &quot;Authorization&quot; : f &quot;Bearer { gcloud_token } &quot; } except Exception as e : print ( f &quot;Warning: Could not get gcloud token - { e } . Endpoint might be unsecured or require different auth.&quot; ) auth_headers = None # Or handle error appropriately agent_vllm = LlmAgent ( model = LiteLlm ( model = model_name_at_endpoint , api_base = api_base_url , # Pass authentication headers if needed extra_headers = auth_headers # Alternatively, if endpoint uses an API key: # api_key=&quot;YOUR_ENDPOINT_API_KEY&quot; ), name = &quot;vllm_agent&quot; , instruction = &quot;You are a helpful assistant running on a self-hosted vLLM endpoint.&quot; , # ... other agent parameters ) Using Hosted &amp; Tuned Models on Vertex AI &para; For enterprise-grade scalability, reliability, and integration with Google Cloud's MLOps ecosystem, you can use models deployed to Vertex AI Endpoints. This includes models from Model Garden or your own fine-tuned models. Integration Method: Pass the full Vertex AI Endpoint resource string ( projects/PROJECT_ID/locations/LOCATION/endpoints/ENDPOINT_ID ) directly to the model parameter of LlmAgent . Vertex AI Setup (Consolidated): Ensure your environment is configured for Vertex AI: Authentication: Use Application Default Credentials (ADC): gcloud auth application-default login Environment Variables: Set your project and location: export GOOGLE_CLOUD_PROJECT = &quot;YOUR_PROJECT_ID&quot; export GOOGLE_CLOUD_LOCATION = &quot;YOUR_VERTEX_AI_LOCATION&quot; # e.g., us-central1 Enable Vertex Backend: Crucially, ensure the google-genai library targets Vertex AI: export GOOGLE_GENAI_USE_VERTEXAI = TRUE Model Garden Deployments &para; Supported in ADK Python v0.2.0 You can deploy various open and proprietary models from the Vertex AI Model Garden to an endpoint. Example: from google.adk.agents import LlmAgent from google.genai import types # For config objects # --- Example Agent using a Llama 3 model deployed from Model Garden --- # Replace with your actual Vertex AI Endpoint resource name llama3_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_LLAMA3_ENDPOINT_ID&quot; agent_llama3_vertex = LlmAgent ( model = llama3_endpoint , name = &quot;llama3_vertex_agent&quot; , instruction = &quot;You are a helpful assistant based on Llama 3, hosted on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 2048 ), # ... other agent parameters ) Fine-tuned Model Endpoints &para; Supported in ADK Python v0.2.0 Deploying your fine-tuned models (whether based on Gemini or other architectures supported by Vertex AI) results in an endpoint that can be used directly. Example: from google.adk.agents import LlmAgent # --- Example Agent using a fine-tuned Gemini model endpoint --- # Replace with your fine-tuned model&#39;s endpoint resource name finetuned_gemini_endpoint = &quot;projects/YOUR_PROJECT_ID/locations/us-central1/endpoints/YOUR_FINETUNED_ENDPOINT_ID&quot; agent_finetuned_gemini = LlmAgent ( model = finetuned_gemini_endpoint , name = &quot;finetuned_gemini_agent&quot; , instruction = &quot;You are a specialized assistant trained on specific data.&quot; , # ... other agent parameters ) Third-Party Models on Vertex AI (e.g., Anthropic Claude) &para; Some providers, like Anthropic, make their models available directly through Vertex AI. Python Java Integration Method: Uses the direct model string (e.g., "claude-3-sonnet@20240229" ), but requires manual registration within ADK. Why Registration? ADK's registry automatically recognizes gemini-* strings and standard Vertex AI endpoint strings ( projects/.../endpoints/... ) and routes them via the google-genai library. For other model types used directly via Vertex AI (like Claude), you must explicitly tell the ADK registry which specific wrapper class ( Claude in this case) knows how to handle that model identifier string with the Vertex AI backend. Setup: Vertex AI Environment: Ensure the consolidated Vertex AI setup (ADC, Env Vars, GOOGLE_GENAI_USE_VERTEXAI=TRUE ) is complete. Install Provider Library: Install the necessary client library configured for Vertex AI. pip install &quot;anthropic[vertex]&quot; Register Model Class: Add this code near the start of your application, before creating an agent using the Claude model string: # Required for using Claude model strings directly via Vertex AI with LlmAgent from google.adk.models.anthropic_llm import Claude from google.adk.models.registry import LLMRegistry LLMRegistry . register ( Claude ) Example: from google.adk.agents import LlmAgent from google.adk.models.anthropic_llm import Claude # Import needed for registration from google.adk.models.registry import LLMRegistry # Import needed for registration from google.genai import types # --- Register Claude class (do this once at startup) --- LLMRegistry . register ( Claude ) # --- Example Agent using Claude 3 Sonnet on Vertex AI --- # Standard model name for Claude 3 Sonnet on Vertex AI claude_model_vertexai = &quot;claude-3-sonnet@20240229&quot; agent_claude_vertexai = LlmAgent ( model = claude_model_vertexai , # Pass the direct string after registration name = &quot;claude_vertexai_agent&quot; , instruction = &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; , generate_content_config = types . GenerateContentConfig ( max_output_tokens = 4096 ), # ... other agent parameters ) Integration Method: Directly instantiate the provider-specific model class (e.g., com.google.adk.models.Claude ) and configure it with a Vertex AI backend. Why Direct Instantiation? The Java ADK's LlmRegistry primarily handles Gemini models by default. For third-party models like Claude on Vertex AI, you directly provide an instance of the ADK's wrapper class (e.g., Claude ) to the LlmAgent . This wrapper class is responsible for interacting with the model via its specific client library, configured for Vertex AI. Setup: Vertex AI Environment: Ensure your Google Cloud project and region are correctly set up. Application Default Credentials (ADC): Make sure ADC is configured correctly in your environment. This is typically done by running gcloud auth application-default login . The Java client libraries will use these credentials to authenticate with Vertex AI. Follow the Google Cloud Java documentation on ADC for detailed setup. Provider Library Dependencies: Third-Party Client Libraries (Often Transitive): The ADK core library often includes the necessary client libraries for common third-party models on Vertex AI (like Anthropic's required classes) as transitive dependencies . This means you might not need to explicitly add a separate dependency for the Anthropic Vertex SDK in your pom.xml or build.gradle . Instantiate and Configure the Model: When creating your LlmAgent , instantiate the Claude class (or the equivalent for another provider) and configure its VertexBackend . Example: import com.anthropic.client.AnthropicClient ; import com.anthropic.client.okhttp.AnthropicOkHttpClient ; import com.anthropic.vertex.backends.VertexBackend ; import com.google.adk.agents.LlmAgent ; import com.google.adk.models.Claude ; // ADK&#39;s wrapper for Claude import com.google.auth.oauth2.GoogleCredentials ; import java.io.IOException ; // ... other imports public class ClaudeVertexAiAgent { public static LlmAgent createAgent () throws IOException { // Model name for Claude 3 Sonnet on Vertex AI (or other versions) String claudeModelVertexAi = &quot;claude-3-7-sonnet&quot; ; // Or any other Claude model // Configure the AnthropicOkHttpClient with the VertexBackend AnthropicClient anthropicClient = AnthropicOkHttpClient . builder () . backend ( VertexBackend . builder () . region ( &quot;us-east5&quot; ) // Specify your Vertex AI region . project ( &quot;your-gcp-project-id&quot; ) // Specify your GCP Project ID . googleCredentials ( GoogleCredentials . getApplicationDefault ()) . build ()) . build (); // Instantiate LlmAgent with the ADK Claude wrapper LlmAgent agentClaudeVertexAi = LlmAgent . builder () . model ( new Claude ( claudeModelVertexAi , anthropicClient )) // Pass the Claude instance . name ( &quot;claude_vertexai_agent&quot; ) . instruction ( &quot;You are an assistant powered by Claude 3 Sonnet on Vertex AI.&quot; ) // .generateContentConfig(...) // Optional: Add generation config if needed // ... other agent parameters . build (); return agentClaudeVertexAi ; } public static void main ( String [] args ) { try { LlmAgent agent = createAgent (); System . out . println ( &quot;Successfully created agent: &quot; + agent . name ()); // Here you would typically set up a Runner and Session to interact with the agent } catch ( IOException e ) { System . err . println ( &quot;Failed to create agent: &quot; + e . getMessage ()); e . printStackTrace (); } } } Back to top Previous Agent Config Next Tools for Agents Copyright Google 2025&nbsp;&nbsp;|&nbsp;&nbsp; Terms &nbsp;&nbsp;|&nbsp;&nbsp; Privacy &nbsp;&nbsp;|&nbsp;&nbsp; Manage cookies Made with Material for MkDocs Cookie consent We use cookies to recognize repeated visits and preferences, as well as to measure the effectiveness of our documentation and whether users find the information they need. 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2026-01-13T09:29:39
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Mailing list &nbsp;|&nbsp; Google Summer of Code &nbsp;|&nbsp; Google for Developers Passa ai contenuti principali Google Summer of Code / English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어 Accedi Home page Risorse Cronologia Regole Google Summer of Code Home page Risorse Cronologia Regole Domande frequenti Video Glossario Guide Mailing list Marketing Risorse Ruoli e responsabilità Cronologia Contattaci Home page Prodotti Open Source Programs Office Google Summer of Code Risorse Mailing list Mantieni tutto organizzato con le raccolte Salva e classifica i contenuti in base alle tue preferenze. Annunci Visita il sito google-summer-of-code-announce per gli ultimi aggiornamenti e annunci relativi a GSoC. Discussioni google-summer-of-code-discuss è il punto di riferimento per una discussione generale su GSoC. Salvo quanto diversamente specificato, i contenuti di questa pagina sono concessi in base alla licenza Creative Commons Attribution 4.0 . Per ulteriori dettagli, consulta le norme del sito di Google Developers . Java è un marchio registrato di Oracle e/o delle sue consociate. Ultimo aggiornamento 2025-07-25 UTC. [[["Facile da capire","easyToUnderstand","thumb-up"],["Il problema è stato risolto","solvedMyProblem","thumb-up"],["Altra","otherUp","thumb-up"]],[["Mancano le informazioni di cui ho bisogno","missingTheInformationINeed","thumb-down"],["Troppo complicato/troppi passaggi","tooComplicatedTooManySteps","thumb-down"],["Obsoleti","outOfDate","thumb-down"],["Problema di traduzione","translationIssue","thumb-down"],["Problema relativo a esempi/codice","samplesCodeIssue","thumb-down"],["Altra","otherDown","thumb-down"]],["Ultimo aggiornamento 2025-07-25 UTC."],[],["The provided content directs users to two Google Groups for information about Google Summer of Code (GSoC). The **google-summer-of-code-announce** group is for updates and announcements. The **google-summer-of-code-discuss** group is designated for general discussions about GSoC. Users seeking official information should check the \"announce\" group, while those interested in broader conversation can join the \"discuss\" group.\n"]] Blog Connect Blog Bluesky Instagram LinkedIn X (Twitter) YouTube Programmi Google Developer Program Google Developer Groups Google Developer Experts Accelerators Google Cloud & NVIDIA Developer Console Google API Console Google Cloud Platform Console Google Play Console Firebase Console Actions on Google Console Cast SDK Developer Console Chrome Web Store Dashboard Google Home Developer Console Android Chrome Firebase Google Cloud Platform Google AI Tutti i prodotti Termini Privacy Manage cookies English Deutsch Español Español – América Latina Français Indonesia Italiano Polski Português – Brasil Tiếng Việt Türkçe Русский עברית العربيّة فارسی हिंदी বাংলা ภาษาไทย 中文 – 简体 中文 – 繁體 日本語 한국어
2026-01-13T09:29:39
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Persona | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Create an account Persona Software Development San Francisco, California 45,808 followers Configurable identity infrastructure for KYC, AML, KYB, fraud detection, onboarding, and more. See jobs Follow Discover all 624 employees Report this company Overview Jobs About us Persona helps businesses manage KYC/AML/KYB programs, fight fraud, and build trust by automating any identity-related use case with our flexible identity infrastructure. For example, we help Coursera verify learners’ identities before delivering course credentials and Brex comply with strict international KYC/AML regulations. Beyond securely collecting and verifying user information such as PII, government IDs, and selfies, our platform also provides flexible case review and orchestration tools to help businesses streamline and automate all their identity operations — from setting custom rules to ingesting third-party data and triggering external actions. In short, Persona handles the complexities of securely collecting, verifying, and managing sensitive personal information, so you can stay focused on building your product. Website https://withpersona.com External link for Persona Industry Software Development Company size 201-500 employees Headquarters San Francisco, California Type Privately Held Founded 2018 Specialties Identity, Security, Compliance, PII, KYC, AML, Fraud, Verification, and KYB Products Persona's Unified Identity Platform Persona's Unified Identity Platform Identity Verification Software Industry-first unified identity platform that helps businesses maximize conversions and minimize fraud by giving them the building blocks to customize how they collect and verify the information they need to know their customers, along with orchestration tools to streamline the process from end to end. Locations Primary San Francisco, California, US Get directions New York, NY, US Get directions Employees at Persona Dave Lu Mark Young Koun Han Xun Gu Building things on bits See all employees Updates Persona 45,808 followers 3d Report this post Ross Freiman-Mendel, head of product growth at Persona, recently joined the Trinsic podcast to discuss a shift reshaping how companies approach identity: moving from one-off verification checks to reusable, consent-based credentials. The conversation explores what happens when compliance meets scale and why the traditional verification model needs an upgrade. Hear Ross’s take on where identity verification is headed:  https://lnkd.in/g7tZ5_wd New podcast episode with Ross Freiman-Mendel from Persona + Reusable ID News Trinsic on LinkedIn 22 3 Comments Like Comment Share Persona 45,808 followers 4d Report this post Some of the fraud-fighting tools and tactics teams relied on for years are starting to break. We asked fraud practitioners, researchers, and executives what changed in 2025 and what they expect next. From GenAI-powered scams to signals that are quietly losing their edge, their answers hint at where fraud may be headed in 2026: 5 fraud and identity experts on 2025-2026 trends Persona on LinkedIn 62 5 Comments Like Comment Share Persona reposted this MRC | Merchant Risk Council 20,382 followers 6d Edited Report this post 🤖 AI is transforming payments and fraud prevention — but it’s also creating new risks, new responsibilities, and new questions around trust and control. On 27 January, the MRC Virtual Summit: AI brings together industry leaders for a half-day virtual event focused on how AI is being applied, governed, and challenged across digital commerce. From AI-powered fraud and identity abuse to ethical model governance and regulatory pressure, this summit offers practical insight for anyone adapting to AI’s growing role in the ecosystem — with interactive discussions and live Q+As to answer your most pressing questions! 📅 27 January 2026 💻 Virtual | 10:00 ET 💲 Free for MRC Members | $99 for Non-Members Register now: https://lnkd.in/eC2aBsfe #MRCVirtualSummitAI #Payments #FraudPrevention #ArtificialIntelligence #eCommerce #RiskManagement #MRCEvents Persona 13 Like Comment Share Persona 45,808 followers 6d Report this post Identity attacks via social engineering are on the rise, and they’re targeting critical workforce touchpoints like enrollment flows and account recovery. Join us on January 27 to learn how Duo Security Identity Verification, powered by Persona, helps organizations strengthen resilience against social engineering by adding high-assurance identity checks during vulnerable moments like helpdesk support and remote onboarding. Hear real insights from practitioners and see how seamless, secure ID verification can bolster your identity security without adding friction. Register here: https://lnkd.in/g-iYs-B3 Strengthening Identity Assurance: Combatting Social Engineering with Duo Identity Verification | Duo Security duo.com 7 Like Comment Share Persona 45,808 followers 3w Report this post Building a global compliance program usually takes months. Frax did it in one. When the stablecoin platform needed to meet new KYC and KYB requirements under the GENIUS Act, it turned to Persona. In just one month, Frax built a fully operational compliance program. 🌎 Today, Frax is ready to scale with confidence in the US, Mexico, and Europe, with more jurisdictions on the horizon. Read the full story: https://lnkd.in/gGHguazn 33 3 Comments Like Comment Share Persona 45,808 followers 3w Report this post Season's greetings from all of us here at Persona! We hope you have a wonderful holiday season and a very happy new year. 79 Like Comment Share Persona 45,808 followers 3w Report this post Crypto is entering its collaboration era. 🚀 Across the events we attended and sponsored in 2025, we heard consistent signals around stablecoin adoption, shared infrastructure, and clearer regulatory paths ahead. Here’s what we heard and what it means for builders heading into 2026. 31 Like Comment Share Persona reposted this Paravision 4,362 followers 4w Report this post Persona and Paravision just set the bar for age assurance accuracy 📊 Persona and Paravision achieved the highest overall accuracy in Australia’s Age Assurance Technology Trial (AATT), one of the world’s most rigorous government evaluations of age estimation technology. With an average MAE of 1.56 years, the joint solution outperformed all other participants, demonstrating industry-leading balance of accuracy and usability. Read the full press release to learn more about the results and what they mean for real-world age assurance: https://lnkd.in/eqfGkrqb Read the white paper for more information on the analysis: https://lnkd.in/eJXGDjkp 66 2 Comments Like Comment Share Persona 45,808 followers 1mo Report this post It’s almost 2026, so there are definitely deepfakes in your selfie onboarding flows. And generative AI is getting so good that visual inspections aren’t enough on their own. Layering signals is the best option for detection, but you have to know which signals to prioritize. This guide is the newest addition to our extensive collection of signals-related resources. https://lnkd.in/gehTJT79 It also covers why each signal matters, what to consider when setting thresholds based on our real-world implementations, and four best practices for refining your signals-based fraud strategy. Or, if you prefer to forgo the big reveal, the signals are: completion time, behavior, device type, device integrity, session count, selfie liveness, and image similarity. 24 2 Comments Like Comment Share Persona 45,808 followers 1mo Report this post 85% of CISOs told us they’re not fully confident in their ability to handle GenAI-enabled fraud. This gap reflects a broader concern: legacy workforce security controls were not built for today’s identity threat landscape, especially as attackers use a mix of sophisticated tactics to scale social engineering, impersonation, and identity abuse. Our workforce security ebook explores what this shift means for enterprise defenses and how leaders are preparing their teams. See a preview below and download the full report for deeper insights here: https://lnkd.in/gw4H-QGu 17 1 Comment Like Comment Share Join now to see what you are missing Find people you know at Persona Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Persona Staffing and Recruiting Wonsulting Professional Training and Coaching Los Angeles, California Glean Software Development Palo Alto, CA Ramp Financial Services New York, New York Stripe Technology, Information and Internet South San Francisco, California Anthropic Research Services Google Software Development Mountain View, CA Vanta Software Development San Francisco, California BruntWork Staffing and Recruiting Rogo Software Development New York, NY Show more similar pages Show fewer similar pages Browse jobs Analyst jobs 694,057 open jobs Product Designer jobs 45,389 open jobs Engineer jobs 555,845 open jobs Recruiter jobs 243,016 open jobs User Experience Designer jobs 13,659 open jobs Virtual Assistant jobs 47,766 open jobs Software Engineer jobs 300,699 open jobs Manager jobs 1,880,925 open jobs Technical Recruiter jobs 8,617 open jobs Project Manager jobs 253,048 open jobs Associate jobs 1,091,945 open jobs Scientist jobs 48,969 open jobs Developer jobs 258,935 open jobs Designer jobs 65,273 open jobs Intern jobs 71,196 open jobs Assistant jobs 711,811 open jobs Marketing Manager jobs 106,879 open jobs Account Manager jobs 121,519 open jobs Senior Product Designer jobs 20,576 open jobs Data Analyst jobs 329,009 open jobs Show more jobs like this Show fewer jobs like this Funding Persona 5 total rounds Last Round Series D May 30, 2025 External Crunchbase Link for last round of funding US$ 200.0M Investors Ribbit Capital Founders Fund + 7 Other investors See more info on crunchbase More searches More searches Product Designer jobs Analyst jobs Engineer jobs User Experience Designer jobs Associate Product Manager jobs Project Manager jobs Recruiter jobs Intern jobs Manager jobs Software Engineer jobs Scientist jobs Designer jobs Developer jobs Associate jobs Marketing Manager jobs Product Manager jobs Account Manager jobs Senior Product Designer jobs Full Stack Engineer jobs Technical Recruiter jobs Marketing Analyst jobs Data Analyst jobs Product Management Intern jobs Senior Software Engineer jobs User Interface Designer jobs Data Scientist jobs Visual Designer jobs Product Design Intern jobs Sourcer jobs Strategist jobs Account Executive jobs Consultant jobs Graduate jobs Business Analyst jobs Operations Analyst jobs User Experience Specialist jobs Technical Producer jobs Marketing Specialist jobs Specialist jobs Director jobs Writer jobs Senior Product Manager jobs Interaction Designer jobs Program Manager jobs Business Development Representative jobs Virtual Assistant jobs Representative jobs Solutions Engineer jobs Technical Consultant jobs Associate Engineer jobs Junior Software Engineer jobs Assistant jobs Senior Associate jobs Solutions Architect jobs Vice President jobs Administrator jobs Customer Success Manager jobs Product Associate jobs Quality Assurance Engineer jobs Engineering Manager jobs LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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2026-01-13T09:29:39
https://www.linkedin.com/company/incodetech?trk=products_seo_search
Incode | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now Incode Software Development San Francisco, California 38,347 followers Power a world of trust at the speed of AI See jobs Follow View all 579 employees Report this company Overview Jobs Life About us Power trust for the AI era. Incode delivers the industry's most accurate identity verification, fully automated, secure, and engineered to maximize conversions while preventing fraud. Our AI-driven platform helps enterprises effortlessly distinguish legitimate users from fraudsters through deterministic verification, advanced deepfake protection, and intelligent orchestration. Trusted by global leaders in different industries to secure millions of digital identities across onboarding, authentication, and compliance use cases. Named in 2025 as a Leader in the Gartner® Magic Quadrant™ for Identity Verification for a second consecutive year. Learn more at incode.com Website http://www.incode.com External link for Incode Industry Software Development Company size 501-1,000 employees Headquarters San Francisco, California Type Privately Held Founded 2015 Specialties Mobile Security, KYC, AML, B2B, Identity Management, Identity Security, Digital Security, Mobile Payments, iOS, Android, Enterprise Security, Artificial Intelligence, AI, Machine Learning, ML, Biometrics, Facial Recognition, Technology, Startup, Mobile Application, Web Application, Enterprise Software, API, SDK, Innovation, Cloud Computing, On Premise Solutions, Servers, Encryption, Security, and Fraud Prevention Products Incode Incode Identity Verification Software Incode Technologies is a leader in the identity trust revolution, backed by investors like General Atlantic, SoftBank, J.P. Morgan, and CapitalOne. Our in-house developed AI platform, Incode Omni, drives rapid identity verification, KYB, and KYC, with 98% first-try success. We verify over 100M users a year in sectors like financial services, retail, igaming, events, hospitality, public sector, and web services. • AI Age Verification: Seamlessly verifying age for legal compliance. • AI Identity Verification: Supporting more than 4,600 documents for global coverage. • KYC and AML: Robust solutions for secure and compliant operations. • Fraud Detection and eKYB: Fastest fraud detection capabilities for business safety. • SalesFlow and Reconnect AI: Maximizing customer journey potential and revenue. • Incode Workflows: Custom verification flows with our one-click visual editor. Join us as we build a world of trust, powered by Incode's innovative solutions. Find out more at incode.com Locations Primary 101 Mission St San Francisco, California 94105, US Get directions Calle Arquímides 212 Piso 4 Mexico City, DF 11550, MX Get directions Kneza Mihaila 33 1st Floor Stari Grad, Central Serbia 11000, RS Get directions Paseo de la Castellana, 43 Madrid, Community of Madrid 28046, ES Get directions Employees at Incode Olli Krebs Carla (Croghan) Foster Enrico Pandian Luis Felipe Segura See all employees Updates Incode 38,347 followers 4d Report this post The balance every platform is chasing is stronger fraud defense without adding friction for legitimate users. Pairing GeoComply ’s device and location intelligence with Incode’s identity verification helps teams make faster, higher-confidence decisions across fintech, marketplaces, and regulated gaming. Break the ICE with us in Barcelona! 🥂 Join us for a 𝗦𝗶𝗽 &amp; ¡𝗦𝗮𝗹𝘂𝗱! 𝗛𝗮𝗽𝗽𝘆 𝗛𝗼𝘂𝗿 🗓️ Tuesday, January 20 | 3–5pm 📍 GeoComply Booth #1F35 GeoComply 23,688 followers 4d From fintech and e-commerce to regulated gaming, every digital platform across the globe is facing the same challenge: stopping sophisticated fraud without slowing legitimate users. That’s why  GeoComply  and  Incode  have partnered to combine precise device and location intelligence with high-integrity identity verification—giving organizations a more complete digital identity signal that enables faster onboarding without sacrificing fraud detection accuracy, even in complex regulatory environments. Break the ICE with us in Barcelona 🥂 Join us for a 𝗦𝗶𝗽 &amp; ¡𝗦𝗮𝗹𝘂𝗱! 𝗛𝗮𝗽𝗽𝘆 𝗛𝗼𝘂𝗿 at  ICE to connect with peers, meet the faces behind this joint solution, and see how leading organizations across 𝗳𝗶𝗻𝘁𝗲𝗰𝗵, 𝗺𝗮𝗿𝗸𝗲𝘁𝗽𝗹𝗮𝗰𝗲𝘀, 𝗮𝗻𝗱 𝗿𝗲𝗴𝘂𝗹𝗮𝘁𝗲𝗱 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 are 𝗯𝗮𝗹𝗮𝗻𝗰𝗶𝗻𝗴 𝗴𝗿𝗼𝘄𝘁𝗵, 𝗨𝗫, 𝗮𝗻𝗱 𝗶𝗻𝘁𝗲𝗴𝗿𝗶𝘁𝘆. 🗓️ Tuesday, January 20 | 3–5pm 📍 GeoComply Booth #1F35 Register here:  https://lnkd.in/g5yqZ5Rg #DigitalIdentity #FraudPrevention #DigitalTrust #IdentityVerification #CyberSecurity #ICEBarcelona #GeoComply #Incode 16 Like Comment Share Incode 38,347 followers 4d Report this post 👋 We’re heading to ICE Barcelona to talk about how to redefine onboarding with Incode's AI-powered identity verification. 📍 Fira Barcelona 🇪🇸 Barcelona, Spain 📅 Jan 19–21, 2026 🧭 Booth #4K22 Stop by to discover how real-time identity verification can strengthen fraud prevention, improve conversion, and keep every onboarding trusted. 34 Like Comment Share Incode 38,347 followers 5d Edited Report this post Leadership is also about the commitments you make to yourself and the standards you choose to live by. In a recent Fortune piece on CEO New Year’s resolutions, Ricardo Amper , Founder and CEO of Incode, reflects on what it takes to lead in a world shaped by AI, identity, and constant change. From staying ahead of the curve in AI and identity, to building technology on a foundation of trust, to showing up fully as a parent and partner, these resolutions mirror how we understand leadership at Incode. How are you pushing yourself this year? 🔗 Read the full article to discover the thoughtful and inspiring resolutions other CEOs are setting for the year ahead: https://lnkd.in/eGYu7PyX 44 Like Comment Share Incode 38,347 followers 1w Report this post 🤖 As deepfakes and AI-generated impersonation continue to reshape the fraud landscape, Excélsior takes a closer look at Deepsight, Incode’s AI-powered defense designed to detect and stop sophisticated identity attacks in real time. Read the full article in Spanish and learn how advanced deepfake prevention is becoming a critical layer of digital trust: https://lnkd.in/es9gJnD7 #Incode #Deepsight #news 54 Like Comment Share Incode 38,347 followers 1w Report this post 🎉 In 2025, we celebrated 10 years of  Incode . We’re deeply grateful for the trust our customers, partners, investors, fellow Incoders, and our community place in us. And we’re excited for what’s coming next. 📸 Here are a few highlights we’ll carry with us into the future. Thank you for being part of our story. We’re just getting started! #2025 #recap #Incode +5 110 Like Comment Share Incode 38,347 followers 2w Edited Report this post A recent report by Fox News highlights a breach that exposed sensitive customer data linked to a fintech vendor serving banks and credit unions. As Ricardo Amper points out, the real risk is that static identity data never expires. Once compromised, it can be reused for years in account takeovers, synthetic identities, and AI-driven scams. This is the shift many organizations still underestimate. Fraud is no longer just about stolen data. It is about AI-generated humans, deepfakes, and real-time impersonation, and that is exactly why we built Deepsight. At Incode, we move beyond static checks to verify live human presence, authenticity, and intent, even in the presence of AI. The future of trust is not about what data you have. It is about knowing who is real, right now. 🔗 Read more on Ricardo's insights here: https://lnkd.in/gxYXm8uA #Incode   #news   #cybersecurity   #Deepsight 63 2 Comments Like Comment Share Incode 38,347 followers 3w Report this post Big news for public sector digital identity. Diamond Capture Associates, LLC and Incode today announced the award of a $37.4 million contract from the General Services Administration, Federal Acquisition Service’s Technology Transformation Services. Both companies will support the Login.gov Next Generation Identity Proofing Blanket Purchase Agreement, a critical federal initiative focused on strengthening digital identity verification and reducing fraud across government services. This work helps strengthen secure, consistent access to government services while reducing fraud. Learn more here: https://lnkd.in/eq9kC3JW #LoginGov #GSA #GovTech #DigitalIdentity #FraudPrevention 287 28 Comments Like Comment Share Incode 38,347 followers 4w Report this post It's great to see the Boston security community come together for a cause. Huge thanks to GuidePoint Security for the invite to this amazing event. Congrats on raising $20,000 for Boston Children’s Hospital. Anthony Myers 1mo Thank you to GuidePoint Security for including Incode in your 2nd Annual Ugly Sweater Holiday Party in Boston. Kelly Burns and Carl Morris truly know how to bring people together and host a memorable event. Most impressively, the event raised $20,000 for Boston Children's Hospital. Looking forward to many more events together in 2026! 20 1 Comment Like Comment Share Incode 38,347 followers 4w Report this post We are excited to share that Incode has been named a Flagship Prism Refractor and Resilient Trust Leader in The Prism Project 's 2025 Biometric Digital Identity Flagship Prism Report, placing us among a select group of just 3 vendors recognized for shaping the digital identity landscape. We are grateful for this recognition, and for the customers and partners who push us to keep raising the bar on fraud protection, privacy, and compliance. Learn more and download a copy of the report here: https://lnkd.in/eA83yqCx 74 Like Comment Share Incode 38,347 followers 1mo Report this post ✨ Thanks to everyone who joined us at the Gartner Identity and Access Management Summit. We also appreciate Gartner for hosting, and Okta for joining us in our speaking session. Looking forward to more meaningful conversations on fraud prevention, real-world identity, and what it takes to stay ahead as attacks get more sophisticated in the AI era. #Incode #Gartner #Okta 75 Like Comment Share Join now to see what you are missing Find people you know at Incode Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Ontra Software Development San Francisco, California Bluecore Software Development New York, NY Zip Software Development San Francisco, California Hyperscience Software Development New York, New York Productboard Software Development San Francisco, California MetaMap Software Development Harvey Software Development San Francisco, California OpenSpace Software Development SAN FRANCISCO, CA UVeye Technology, Information and Internet Teaneck, New Jersey EliseAI Software Development Show more similar pages Show fewer similar pages Browse jobs Manager jobs 1,880,925 open jobs Analyst jobs 694,057 open jobs Engineer jobs 555,845 open jobs Project Manager jobs 253,048 open jobs Account Executive jobs 71,457 open jobs Director jobs 1,220,357 open jobs Account Manager jobs 121,519 open jobs Senior Product Manager jobs 50,771 open jobs Product Manager jobs 199,941 open jobs Associate jobs 1,091,945 open jobs Sales Director jobs 83,949 open jobs User Experience Manager jobs 14,709 open jobs Sales Manager jobs 310,050 open jobs Developer jobs 258,935 open jobs Fraud Analyst jobs 5,936 open jobs Accountant jobs 91,739 open jobs Quality Assurance Engineer jobs 31,450 open jobs Intern jobs 71,196 open jobs Consultant jobs 760,907 open jobs Scientist jobs 48,969 open jobs Show more jobs like this Show fewer jobs like this More searches More searches Manager jobs Senior Product Manager jobs Account Executive jobs Engineer jobs Director jobs Project Manager jobs Product Manager jobs Account Manager jobs Analyst jobs Quality Assurance Engineer jobs User Experience Manager jobs Vice President jobs Sales Manager jobs Head of Sales jobs Program Manager jobs Business Development Representative jobs Sales Director jobs Sales Development Representative jobs Delivery Manager jobs Enterprise Account Executive jobs Consultant jobs Executive jobs Human Resources Manager jobs Head jobs Scientist jobs Specialist jobs Business Development Specialist jobs Accountant jobs Senior Manager jobs Tester jobs Director of Product Management jobs Principal Product Manager jobs Human Resources Director jobs Director of Engineering jobs Marketing Manager jobs User Experience Researcher jobs User Experience Designer jobs Solutions Architect jobs Digital Product Manager jobs Developer jobs Associate jobs Human Resources Business Partner jobs Associate Account Executive jobs Solutions Specialist jobs Telesales Manager jobs Senior Data Consultant jobs Business Analyst jobs Head of Software jobs Solutions Engineer jobs Risk Management Specialist jobs Development Manager jobs Lead Product Manager jobs Telesales Representative jobs Director of User Experience jobs Application Engineer jobs Senior Business Analyst jobs Sales Agent jobs Head of Operations jobs Head of Product jobs Fraud Analyst jobs LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Sign in to see who you already know at Incode Sign in Welcome back Email or phone Password Show Forgot password? Sign in or By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . New to LinkedIn? Join now or New to LinkedIn? Join now By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy .
2026-01-13T09:29:39
https://www.linkedin.com/posts/verified-first_screening-compliance-hiring-activity-7412201881453789184-F2Vb
Common Screening Mistakes in Hiring Programs | Verified First posted on the topic | LinkedIn Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Register now Common Screening Mistakes in Hiring Programs This title was summarized by AI from the post below. Verified First 7,992 followers 1w Report this post We asked the experts what the most common #screening mistake they see is. The consensus was clear, and it’s likely lurking in your current program. 🚩 From patchwork #compliance to the risks of minimal coverage checks, our latest blog breaks down the traps that stall #hiring . Learn more: https://lnkd.in/grvuBFr8 9 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in More Relevant Posts Kapton 346 followers 3w Report this post Most teams “set up” compliance tools and hope for the best. But real protection comes from owning outcomes long-term: continuous tuning, alert triage, and policy alignment that reduce risk in day‑to‑day operations. Kapton turns signals into results by managing DLP, Insider Risk, and Communication Compliance as an ongoing service, so controls evolve with your business. Learn more: https://kapton.io/ #ComplianceManagement #MicrosoftPurview #RiskReduction 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Pennsylvania Cybersecurity Center 228 followers 4d Report this post How Attackers Think: Why Urgency Works Attackers know people make faster, riskier decisions when they feel rushed. That’s why scam likely messages often say things like: • “Immediate Action Required” • “Your Account will be Suspended” • “Last Chance to Respond” Their goal is for you to panic first and think later. You should pause and remember that real companies don’t pressure you to act instantly. Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Roberta Speight 1w Report this post Are you navigating the complexities of Live Scan Fingerprinting for your hiring process? We’re here to help simplify the journey! In our latest article, we outline 5 essential steps to master compliance while making efficient hiring decisions. Learn how to: 1️⃣ Gather the necessary documents 2️⃣ Select a trustworthy service provider 3️⃣ Avoid common pitfalls 4️⃣ Time your requests effectively 5️⃣ Conduct important follow-up actions Take charge of your hiring process with confidence and ensure you meet all regulatory standards. 👉 Dive into the full blog by following the link in our bio and transform your approach to compliance today! Your next hire will appreciate it! #SmallBusiness #ProfessionalServices #HireSmart #BackgroundChecks #Compliance Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Integrity In Recruiting 5d Report this post The most dangerous hires don’t raise red flags. They raise trust. After working with fraud and insider threat cases, one pattern shows up again and again: The people who cause the most damage are rarely questioned. They’re helpful. Consistent. “Always available.” They don’t break rules. They operate below them. That’s why traditional hiring fails: It looks for problems. Not leverage. Real risk appears when someone gains: – unrestricted access – social credibility – emotional trust And no one checks what they do after that moment. This is why post-incident reviews always sound the same: “We trusted them.” “They’d been here for years.” “No one expected this.” If this topic feels uncomfortable — good. It means you’re thinking about risk before it becomes a headline. I share real behavioral patterns behind insider incidents — not theory, not trends. Follow if you want the parts most companies only learn after the damage. #InsiderThreat #HumanRisk #TrustAndRisk #HiringDecisions #CorporateSecurity #BehavioralAnalysis #RiskLeadership Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in ♛ Gina King, MBA, MHA ♛ ギナ 3w Report this post 𝗖𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗮𝗶𝗻’𝘁 𝗺𝗮𝗴𝗶𝗰. We’re trying to protect U.S. critical infrastructure—real businesses, real owners, real consequences. So here’s the frame: 𝗧𝗵𝗶𝘀 𝘄𝗼𝗿𝗸 𝗶𝘀𝗻’𝘁 𝗿𝗮𝗻𝗱𝗼𝗺. It’s governed by contracts, operating procedures, standards, and law. And if you’re doing it right, you’re managing business risk—not “cyber vibes.” 𝗧𝗵𝗲 𝗽𝗶𝗹𝗹𝗮𝗿𝘀 𝗼𝗳 𝗯𝘂𝘀𝗶𝗻𝗲𝘀𝘀 𝗿𝗶𝘀𝗸: 1. 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝗶𝗰 — bad bets, disruption, failed growth moves 2. 𝗙𝗶𝗻𝗮𝗻𝗰𝗶𝗮𝗹 — cash, fraud, margin, credit, capital 3. 𝗢𝗽𝗲𝗿𝗮𝘁𝗶𝗼𝗻𝗮𝗹 — downtime, quality, safety, process failure 4. 𝗟𝗲𝗴𝗮𝗹 &amp; 𝗥𝗲𝗴𝘂𝗹𝗮𝘁𝗼𝗿𝘆 — compliance, contracts, litigation 5. 𝗧𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 &amp; 𝗖𝘆𝗯𝗲𝗿 — incidents, identity, data, outages, AI risk 6. 𝗧𝗵𝗶𝗿𝗱-𝗣𝗮𝗿𝘁𝘆 &amp; 𝗦𝘂𝗽𝗽𝗹𝘆 𝗖𝗵𝗮𝗶𝗻 — vendors, dependencies, concentration 7. 𝗥𝗲𝗽𝘂𝘁𝗮𝘁𝗶𝗼𝗻 &amp; 𝗧𝗿𝘂𝘀𝘁 — brand, confidence, credibility 8. 𝗣𝗲𝗼𝗽𝗹𝗲 — talent gaps, insider risk, culture, succession 9. 𝗖𝗼𝗻𝘁𝗶𝗻𝘂𝗶𝘁𝘆 &amp; 𝗥𝗲𝘀𝗶𝗹𝗶𝗲𝗻𝗰𝗲 — BCP/DR, crisis response, recovery If you can’t explain how your work moves these pillars, you’re not selling protection— you’re selling noise. 𝗔𝗻𝗱 𝗜’𝗺 𝗻𝗼𝘁 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝗱𝗲𝗯𝗮𝘁𝗲 𝗮𝗻𝘆𝗼𝗻𝗲’𝘀 𝗿𝗲𝘀𝘂𝗺𝗲́, 𝘄𝗲𝗯𝘀𝗶𝘁𝗲, 𝗼𝗿 𝗔𝗜 𝗽𝗿𝗼𝗱𝘂𝗰𝘁 𝗰𝗹𝗮𝗶𝗺𝘀. 𝗜’𝗺 𝗷𝘂𝘀𝘁 𝗴𝗼𝗶𝗻𝗴 𝘁𝗼 𝘀𝗮𝘆: If you’re misrepresenting capability, bypassing controls, or ignoring contract/legal requirements—𝗬𝗼𝘂’𝗿𝗲 𝗻𝗼𝘁 “𝗶𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗻𝗴.” 𝗬𝗼𝘂’𝗿𝗲 𝗲𝘅𝗽𝗼𝘀𝗶𝗻𝗴 𝗽𝗲𝗼𝗽𝗹𝗲. And yes—sometimes you’re breaking the law. “Cyber” is simply a mechanism and to me a marketing vehicle that doesn't mean squat. Guess what? The law agrees. 𝗔𝗻𝗱 𝗵𝗲𝗿𝗲 𝗰𝗼𝗺𝗲𝘀 𝘁𝗵𝗲 𝘀𝘂𝗻. ☀️ Sunlight is the best disinfectant: evidence, logs, controls, audits, traceability, accountability. 𝗜𝘁’𝘀 𝗮𝗹𝗿𝗶𝗴𝗵𝘁. 𝗜𝘁’𝘀 𝗮𝗹𝗿𝗶𝗴𝗵𝘁. #Cybersecurity #CriticalInfrastructure #BusinessRisk #Governance #Compliance #RiskManagement #ThirdPartyRisk #Resilience #Defensible #NoTradeOffs …more 8 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Kevin Cooley 3w Report this post Let’s be honest — “job security” feels a little shaky for a lot of people right now. But what’s cool to see? AP teams leaning in instead of pulling back. They’re using this moment to learn, automate, and grow into more strategic roles. AvidXchange summed it up really well here: https://okt.to/qfVT5d 6 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Shelly DeBerry 1w Report this post Let’s be honest — “job security” feels a little shaky for a lot of people right now. But what’s cool to see? AP teams leaning in instead of pulling back. They’re using this moment to learn, automate, and grow into more strategic roles. AvidXchange summed it up really well here: https://okt.to/MG6b87 3 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Yevgeny Smolyansky 3w Report this post Most problems in hiring, compliance, and operations don’t show up all at once. They build quietly in the background. Everything feels fine — until someone has a reason to look closely. 7 1 Comment Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Asoid Group 26 followers 2w Report this post Compliance shouldn’t be a roadblock to innovation. When policies live in documents and code lives in pipelines, delays are inevitable. The real problem isn’t compliance — it’s the disconnect. Bridge the gap, streamline reviews, and keep releases moving without compromising standards. Because speed and security can coexist. ⚙️✅ #ComplianceAutomation #DevSecOps #SecureReleases #TechInnovation #RiskReduction #CloudSecurity #ITGovernance Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in Carson Easterling 3w Report this post It’s not only documentation. It’s not just policies. It’s not even the controls. A big part of compliance is knowing who has access to what. And if you can’t answer that confidently, you can’t go into an audit confidently.   Environments change fast. People join, leave, switch roles, get new tools. And identities are the one thing that seems easiest to lose track of. ASM feels like it fills that gap. But I’m still working to understand how it pieces everything together.   Question to LinkedIn: How do most companies keep their access lists accurate in real life — not just on paper? 4 Like Comment Share Copy LinkedIn Facebook X To view or add a comment, sign in 7,992 followers View Profile Connect Explore content categories Career Productivity Finance Soft Skills &amp; Emotional Intelligence Project Management Education Technology Leadership Ecommerce User Experience Show more Show less LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Sign in to view more content Create your free account or sign in to continue your search Sign in Welcome back Email or phone Password Show Forgot password? 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2026-01-13T09:29:39
https://creativecommons.org/2017/11/15/create-refresh-campaign-stop-eu-copyright-censorship-machine/
Create Refresh Campaign: Stop the EU Copyright Censorship Machine - Creative Commons Skip to content Creative Commons Menu Who We Are What We Do Licenses and Tools Blog Support Us English --> Search Donate Explore CC Creative Commons Our Work Relies On You! Help us keep the internet free and open. --> Global Network Join a global community working to strengthen the Commons Certificate Become an expert in creating and engaging with openly licensed materials Global Summit Attend our annual event, promoting the power of open licensing Chooser Get help choosing the appropriate license for your work Search Portal Find engines to search openly licensed material for creative and educational reuse Open Source Help us build products that maximize creativity and innovation Help us protect the commons. Make a tax deductible gift to fund our work. Donate today! Create Refresh Campaign: Stop the EU Copyright Censorship Machine by Timothy Vollmer lead in paragraph --> Copyright --> The Create Refresh campaign is a new project to highlight the concerns of creators regarding the EU’s proposed changes to copyright law. Supporting organisations include Creative Commons, Kennisland, La Quadrature du Net, and others. Create Refresh is “calling on creators to be part of a movement to defend their right to create. [The] ultimate aim is to inspire a new solution for digital copyright that protects all creators and their careers.” The initiative focuses on Article 13 of the European Commission’s copyright proposal , which would require all online services that permit user-generated uploads to install filters that can automatically detect, flag, and censor copyrighted material before the content even hits the web. The provision would apply to websites such as Facebook, YouTube, Instagram, Flickr, and even noncommercial sites like Wikipedia. Such a problematic requirement could be in conflict with other fundamental rights enshrined in existing EU law, such as the provision in the E-Commerce Directive that prohibits general monitoring obligations for internet platforms. Second, the content filtering mechanism would likely be unable to take into account other user rights, such as current limitations and exceptions to copyright. The proposal fails to establish rules that protect the ability of EU citizens to use copyright-protected works in transformative ways—such as video remixes. Or, as OpenMedia puts it , “automated systems are incapable of making sophisticated judgements and will inevitably err on the side of censoring creativity and speech that is perfectly legal.” In the next few months the remaining European Parliament committees responsible for the reform will hold their votes on potential amendments to the Commission&#8217;s original plan. This includes the Committee on Civil Liberties, Justice and Home Affairs (LIBE), and the Committee on Legal Affairs (JURI). In addition, the  Council of the European Union—essentially, the EU Member State governments led  by the Estonian Presidency—has been floating proposed changes.  Create Refresh comes to the same conclusion as CC and dozens of other civil society organisations calling for a progressive copyright that protects both users and the public interest in the digital environment: Article 13 should be removed from the proposal . Creators interested in contributing to the campaign can apply for a small grant to develop videos, artwork, or other creative works relating to Article 13 and freedom of expression. Check out Create Refresh on their website , Twitter , Facebook , or Instagram . Posted 15 November 2017 Tags #fixcopyright copyright reform Europe Related posts CC at WIPO: Slow progress on copyright exceptions for cultural heritage institutions by Brigitte Vézina Copyright , Open Culture EU adopts landmark Artificial Intelligence Act by Brigitte Vézina , Mark Foster Copyright CC Supports a new Digital Knowledge Act for Europe by Brigitte Vézina , Monica Granados Copyright , Open Access , Open Data , Open Knowledge , Open Science , Policy Celebrate Public Domain Day 2024 with us: Weird Tales from the Public Domain by Creative Commons Copyright Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org Instagram --> Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome .
2026-01-13T09:29:39
https://www.microsoft.com/ko-kr/power-platform/products/power-bi/power-bi-premium
Power BI Premium | Microsoft Power BI This is the Trace Id: dcfa6993c92d92c307eee955718dc7c7 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power BI Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 파트너 리소스 Power BI 알아보기 Power BI 알아보기 설명서 비즈니스 인텔리전스 주제 데이터 스토리텔링 Power BI 블로그 Power BI 지원 Power BI 커뮤니티 Power BI 다운로드 지금 구입하기 무료로 시작 로그인 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 Unify self-service and enterprise BI&lt;/h1> "> 셀프 서비스 및 엔터프라이즈 BI 통합 Power BI Premium의 고급 셀프 서비스 데이터 준비 기능을 사용하여 인사이트를 빠르게 확보하고 쉽게 협업하세요. 지금 구입 Dynamics 365 Business Central 드롭다운 레이블 개요 대시보드 고객 스토리 다음 단계 지금 구입 지금 구입 제품 개요 Get more from your Power&amp;nbsp;BI experience&lt;/h2> "> Power BI 경험을 통해 더 많은 혜택 받기 로우코드 데이터 마트로 셀프 서비스 강화 Power BI에서 데이터 마트를 사용하면 기업 데이터를 원활하게 생성하고 공유할 수 있어 시간을 절감하고 조직의 디지털 혁신을 촉진할 수 있습니다. Power Query 또는 SQL을 사용해 간단하고 마찰 없는 단일 환경에서 관계형 데이터베이스 분석을 쉽게 수행합니다. 사용자가 가장 중요한 데이터 인사이트를 생성하는 데 집중하면서 데이터 마트를 쉽게 생성하고 보호하며 통제 및 관리할 수 있도록 지원합니다. 의사 결정 가속화 Power BI Report Server 또는 사용자가 선택한 클라우드 지역입니다. 가동 중지 시간을 최소화하고 성능을 보장하는 관리형 클라우드 인프라를 통해 필요 따라 크기를 조정할 수 있습니다. 자세한 정보 셀프 서비스 데이터 준비를 사용하여 빅 데이터 잠금 해제 Dynamics 365, Azure Synapse Analytics, Salesforce, Excel 및 SharePoint와 같은 서비스에 대해 미리 빌드된 커넥터를 사용하여 필요한 데이터를 찾습니다. 전문적인 기술 없이도 비즈니스 분석가가 셀프 서비스 데이터 마트와 Power Query 환경을 통해 빅 데이터를 수집 및 변환하고, 보강할 수 있도록 지원합니다. 데이터가 준비되면 여러 Power BI 모델에 다시 사용하여 효율성 및 정확성을 확보할 수 있습니다. 증가된 모델 크기 제한 및 새로 고침 빈도를 이용하여 더 큰 데이터 볼륨을 쉽게 관리할 수 있습니다. 데이터 관리 및 액세스 간소화 투명한 메트릭을 사용하여 용량 사용률 동인 및 추세에 대한 인사이트를 얻습니다. 용량의 크기를 자동으로 조정하여 최대 성능으로 분석을 실행합니다. 국가별 클라우드를 포함한 모든 지역에 배포하여 데이터 보존 요구 사항을 충족합니다. 사용자가 데이터 세트 인증, 유연한 보고, 배포 형식 및 포함 옵션을 통해 보고 공동 작업하는 방법을 결정합니다. 통합 BI 도구를 사용하여 내부 및 외부 사용자 간에 거버넌스, 보안 및 관리를 통합합니다. 셀프 서비스 BI의 이점 활용 비즈니스에 적합한 방식(사용자/용량 기준)으로 Power BI Premium 기능에 액세스하세요. 빅 데이터로부터 인사이트를 추출하고 대화형 데이터 시각화를 통해 쉽게 공유하고 협업하세요. 페이지를 매긴 보고서, 고급 AI 기능(예: AutoML, 영향 분석, Azure AI 서비스), 데이터 흐름, 사용량 기반 집계 최적화, 애플리케이션 수명 주기 관리, 향상된 자동 페이지 새로 고침을 포함하는 고급 워크로드를 활성화합니다. 게시 효율성 및 정확도 향상 배포 파이프라인의 간단한 시각적 표시를 사용하여 자신 있게 개발 및 테스트에서 프로덕션으로 콘텐츠를 신속하게 전환하세요. 특별한 DevOps 관련 기술 또는 도구 없이도 일관성과 성능이 향상된 보고서를 신속하게 배포하세요. 반복 가능한 콘텐츠 관리 프로세스를 사용하고 조직에 맞게 개인 설정하여 시간을 절약하고 정확도를 높이세요. Power BI 모바일 앱으로 콘텐츠 보기 iOS, Android 및 Windows용 Power BI 기본 모바일 앱을 사용하면 모든 디바이스에서 Power BI 라이브 대시보드 및 보고서에 안전하게 액세스하여 확인, 공유할 수 있습니다. 팀원들이 중요 인사이트에 집중할 수 있도록 터치 스크린을 사용해 보고서에 주석을 손쉽게 표기할 수 있습니다. 데이터에 대해 질문하고 지리적 위치를 사용하여 현재 위치를 기준으로 데이터를 필터링합니다. 대시보드 Reports from Data Stories’ gallery&lt;/h2> "> 데이터 스토리 갤러리의 보고서 영업 대시보드 마케팅 예측 분석 고객 감정 분석 이전 다음 AdventureWorks Sales Dashboard&lt;/h3> "> 드AdventureWorks 영업 대시보드 대시보드와 상호 작용 Marketing Predictive Analytics&lt;/h3> "> 마케팅 예측 분석 대시보드와 상호 작용 Customer Sentiment Analysis of Waterway Values using MapBox and WordCloud&lt;/h3> "> MapBox 및 WordCloud를 사용하여 수로 가치에 대한 고객 감정 분석 대시보드와 상호 작용 탭으로 돌아가기 Plans to suit every need&lt;/h2> "> 모든 요구에 맞게 계획 조직에 적합한 계획을 찾아 강력한 인사이트를 파악합니다. 가격 책정 보기 고객 사례 Learn how customers use Power BI Premium&lt;/h2> "> 고객의 Power BI Premium 사용 방식 알아보기 이전 슬라이드 다음 슬라이드 &#34;Power BI를 사용하면 해당 학군 내 41,000명 학생에 관한 진행 상황을 확인하고 매우 세부적인 수준의 솔루션을 제공할 수 있어 뒤처지거나 탈락되는 학생이 없습니다.&#34; Terence O’Leary: St. Lucie 공립 학교 최고 운영 책임자 사례 읽기 모든 사례 보기 &#34;Power Platform에서 구축한 드라이버 앱은 프로세스를 간소화하고 종이 사용을 줄이며 전체 운전자 경험을 향상합니다.&#34; Stephanie Doughty: MV Transportation 전문 서비스 부문 부사장 사례 읽기 모든 사례 보기 고객 사례 섹션으로 돌아가기 Take the next step&lt;/h2> "> 다음 단계 수행 무료로 Power BI 사용 시작 Microsoft Fabric에서 무료로 Power BI를 체험하고 데이터 내에서 인사이트를 찾고 풍부한 분석 보고서를 공유하세요. 지금 사용해 보기 연락 요청하기 요청을 제출하여 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락을 받으세요. 요청 보내기 Power Platform 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 &#169; Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: &#39;Segoe UI&#39;; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} &lt;/style> &lt;div class=&#34;ow-pro-c-container-modal proactive-chat-hidden&#34; id=&#34;proactive-chat-dialog&#34;> &lt;div class=&#34;ow-pro-c-button-container&#34;> &lt;button class=&#34;ow-pro-c-close-button c-glyph glyph-cancel&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; onclick=&#34;(window.chatInst.getProactiveChat()).toggle(false)&#34; >&lt;/button> &lt;/div> &lt;div class=&#34;ow-headinghelper-2 ow-pro-c-h-text&#34;>{{module.heading}}&lt;/div> &lt;div class=&#34;c-button f-primary ow-pro-c-p-text&#34;> {{chat-engagement.prompt}} &lt;/div> &lt;div class=&#34;ow-pro-c-image-container ow-pro-c-d-flex&#34;> &lt;img src=&#34;{{module.img-src}}&#34; alt=&#34;{{module.img-alt-txt}}&#34; class=&#34;ow-pro-c-image&#34; /> &lt;ul data-cta-count=&#34;1&#34;> &lt;li class=&#34;ow-link-wrapper&#34;> &lt;button id=&#34;chatEngagement&#34; aria-label=&#34;{{chat-engagement-aria-label}}&#34; class=&#34;c-button f-primary ow-pro-c-chat-button&#34; data-bi-cn=&#34;Chat_invite_accept&#34; data-bi-bhvr=&#34;180&#34; > &lt;span> {{chat-engagement.btn-txt}} &lt;/span> &lt;/button> &lt;/li> &lt;/ul> &lt;button id=&#34;chatDisengagement&#34; class=&#34;ow-pro-c-button-glyph-container ow-pro-c-d-flex&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; > &lt;div class=&#34;ow-pro-c-no-button&#34;>{{chat-disengagement.btn-txt}}&lt;/div> &lt;div class=&#34;ow-pro-c-no-button c-glyph glyph-cancel&#34;>&lt;/div> &lt;/button> &lt;/div> &lt;/div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:39
https://www.linkedin.com/company/hyperverge?trk=products_seo_search
HyperVerge | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Create an account HyperVerge Software Development Palo Alto, California 85,370 followers AI-powered onboarding that accelerates revenue growth. See jobs Follow View all 381 employees Report this company About us HyperVerge is a global leader in AI-powered digital onboarding solutions. Our flagship platform, HyperVerge ONE, enables sectors such as fintech, BFSI, insurance, lending, and logistics to launch end-to-end customer journeys up to 5x faster. By reducing drop-offs and fraud while ensuring regulatory compliance, we empower partners to accelerate revenue growth and roll out new products with minimal technical effort. To date, we’ve verified over a billion identities worldwide. Leading enterprises like SBI, L&amp;T Finance, Jio, Groww, Tata Capital, and Swiggy, use HyperVerge solutions to: - Seamlessly onboard new customers - Authenticate existing customers, agents, and employees - Detect and prevent fraud in real time Powered by advanced computer vision, deep learning, OCR, biometric face-matching, and passive liveness detection, our AI models deliver 99.5–99.55% accuracy. Optimized for low-bandwidth and low-end devices, they ensure consistent reliability even in resource-constrained environments. Beyond technology, the HyperVerge Academy (HVA) drives social impact by offering free AI and tech training to underserved students. To date, HVA has enabled 190+ students to secure roles in technology. Headquartered in Bangalore, we also have offices in Mumbai, Coimbatore, Ho Chi Minh City, Singapore, Vietnam, and the U.S. Website http://www.hyperverge.co External link for HyperVerge Industry Software Development Company size 51-200 employees Headquarters Palo Alto, California Type Privately Held Founded 2014 Specialties Computer Vision, Deep Learning, Image Recognition Engine, FinTech, eKYC, OCR, Identity Verification, KYC, Video KYC, Fraud Detection, Face Recognition, Liveness, Digital Onboarding, AML Checks, Database Checks, KYB, AML, and PEP, Sanctions Screening Products HyperVerge HyperVerge Identity Verification Software Frictionless &amp; scalable identity verification platform and fraud check solutions for enterprises in telecom, digital lending, neobanks, BFSI, crypto, gaming, sharing economy, logistics, insurance, ed-tech, banks, fintech, etc. Our platform has onboarded more than 700 million users (9% of the world’s population) over the last 3 years. Leading enterprises use HyperVerge for: 1. Seamlessly onboarding new customers and business partners 2. Authenticating existing customers and agents 3. Identifying and stopping fraudsters The AI models of HyperVerge for real-time image and video analysis leads the market on accuracy (99.55%) and are precisely optimized for deployments in low-end phones running on 2G and 3G networks. This results in superior on-field performance, lower costs, high revenue generation for clients, and better end-user experience. We also have an ISO-30107-certified passive liveness module that translates to a faster &amp; seamless customer experience with reduced drop-offs. Locations Primary 101, University Ave, Suite 245 Palo Alto, California 94301, US Get directions No:12, 17th Cross Rd, Sector 7, HSR Layout Bengaluru, Karnataka 560102, IN Get directions Ho Chi Minh, Ho Chi Minh 736464, VN Get directions Jakarta, Jakarta 14540, ID Get directions Employees at HyperVerge Shaiju Thomas Gayathiri Mohanram Akhilesh Agrawal G Venkat See all employees Updates HyperVerge 85,370 followers 5d Report this post We ran the Zodiac through our algorithm. Here are the results. At HyperVerge, we usually stick to Face Match and Liveness checks, but today we’re processing a different kind of data: Cosmic Metadata. We analyzed the personality latencies and confidence scores of every sign.  ♌  Leos: You passed with a 99.9% Confidence Score.  ♍  Virgos: Your data cleaning skills are unmatched.  ♊  Geminis: Our Liveness check is working overtime on you today. Swipe through to see your AI-generated horoscope. Did we achieve high precision, or is this a hallucination? Let us know in the comments! 👇 31 Like Comment Share HyperVerge 85,370 followers 1w Edited Report this post Hope this mini-me reminds you to keep smiling for the whole of 2026! Glad it found the right desk Sean Murray 😃 Sean Murray 1w I’m sorry but this is the funniest gift I’ve ever gotten here. A bobblehead of… myself. lololol. From HyperVerge 17 1 Comment Like Comment Share HyperVerge 85,370 followers 2w Report this post Here’s to the people who made this year meaningful: our teams, partners, and everyone who chose to build with us. This year reinforced something we deeply believe in at HyperVerge: progress matters most when it’s built thoughtfully, with people and purpose at the centre. Grateful for the trust, the collaboration, and the shared beliefs that continue to guide how we show up and what we build ⭐ Wishing you a warm holiday season and a bright new year ahead ✨ 🎉 …more 37 1 Comment Like Comment Share HyperVerge 85,370 followers 2w Report this post Warm Christmas wishes from all of us at HyperVerge!🎄 65 Like Comment Share HyperVerge 85,370 followers 3w Report this post A big milestone for Superbank as they go public! 🎉 It’s been a privilege to partner with you on building secure customer onboarding experiences. Looking forward to scaling new heights together. 73 1 Comment Like Comment Share HyperVerge 85,370 followers 3w Edited Report this post This is how we run hackathons at HyperVerge : 24 hours. All-nighters. Way too much caffeine. People sleeping in the office. Mentors watching ideas turn into products, up close. And 24 hours later? Serious work. Big smiles. Well-earned celebration 🤍 …more 163 Like Comment Share HyperVerge 85,370 followers 1mo Edited Report this post Thrilled to share that we’ve been shortlisted for Best Innovation in RegTech at IFTA 2025 by India FinTech Forum 🚀 From strengthening India’s digital trust infrastructure to helping institutions stay ahead of emerging fraud, this recognition fuels our mission to build faster, safer, more compliant financial experiences ⭐ 78 1 Comment Like Comment Share HyperVerge 85,370 followers 1mo Report this post Spreading a little Christmas cheer with our friends at PDAX! 🎄✨ Great conversations, warm smiles, and holiday goodies - the perfect way to wrap up a client catch-up. Harshit Shrivastava , Raj Mishra 75 Like Comment Share HyperVerge 85,370 followers 1mo Report this post Most lending stories talk about scale. Souparno Bagchi  from  Balancehero India  discusses the need: a medical bill, a leaky roof, a family emergency. Real lives, real urgency. Their lending model is built for India’s real economy. And HyperVerge ’s VKYC, with sub-3-minute verification, sub-5-minute underwriting, and a remarkably responsive team ( 👋 Aditya Rao ), helps make that possible. When technology understands regulation, respects the customer’s urgency, and is engineered for Bharat-scale, it doesn’t just speed up lending; it reshapes financial possibility for millions :) 👉 Click here to see the full video: https://lnkd.in/gxcCEiZm …more Truebalance x HyperVerge https://www.youtube.com/ 28 Like Comment Share HyperVerge 85,370 followers 1mo Report this post #NanoBananaPro is here - and it’s a wake-up call for every BFSI. With just a few clicks, anyone can now generate ultra-realistic human faces and identity images. No expertise. No tech background. Just instant, high-quality fakes. And that changes everything. Because if realistic images are this easy to create, impersonation becomes easier than ever. Fraudsters can fabricate IDs, mimic real customers, and slip through weak KYC processes. This isn’t a “future threat.” This is today. For BFSIs, the message is clear: #Deepfake detection is no longer optional. It must be a mandatory part of every KYC flow. The fraud tools are getting stronger. Your defences need to move faster. 89 Like Comment Share Join now to see what you are missing Find people you know at HyperVerge Browse recommended jobs for you View all updates, news, and articles Join now Affiliated pages HyperStart CLM Software Development Bangalore, Karnataka HyperTrust Embedded Software Products Bengaluru South, Karnataka HyperVerge Vietnam Software Development Similar pages Signzy Financial Services New York City, New York Plotline Technology, Information and Internet Astra Software Development Dover, Delaware IDfy Technology, Information and Internet Mumbai, Maharashtra HyperVerge Academy Higher Education Razorpay Software Development Bangalore, Karnataka Perfios Software Development Bangalore, Karnataka Swish Technology, Information and Internet Sprinto Software Development San Francisco, California Rippling Software Development San Francisco, California Show more similar pages Show fewer similar pages Browse jobs Manager jobs 1,880,925 open jobs Founder jobs 76,859 open jobs Analyst jobs 694,057 open jobs Engineer jobs 555,845 open jobs Intern jobs 71,196 open jobs Scientist jobs 48,969 open jobs Associate jobs 1,091,945 open jobs Graphic Designer jobs 16,599 open jobs Associate Product Manager jobs 76,300 open jobs Machine Learning Engineer jobs 148,937 open jobs Executive jobs 690,514 open jobs Developer jobs 258,935 open jobs User Experience Designer jobs 13,659 open jobs Designer jobs 65,273 open jobs Specialist jobs 768,666 open jobs Project Manager jobs 253,048 open jobs Support Manager jobs 272,962 open jobs Account Manager jobs 121,519 open jobs Co-Founder jobs 5,680 open jobs Python Developer jobs 46,642 open jobs Show more jobs like this Show fewer jobs like this More searches More searches Manager jobs Analyst jobs Intern jobs Founder jobs Engineer jobs Machine Learning Engineer jobs Associate Product Manager jobs Designer jobs Project Manager jobs Graphic Designer jobs Associate jobs Account Manager jobs Consultant jobs Scientist jobs Developer jobs Data Science Specialist jobs Visual Designer jobs Key Account Manager jobs Business Development Specialist jobs Account Executive jobs Specialist jobs Program Manager jobs Product Manager jobs Product Management Intern jobs Data Analyst jobs Product Designer jobs Sales Manager jobs Technical Account Manager jobs Business Analyst jobs Software Engineer jobs Graphic Design Intern jobs User Experience Designer jobs Intelligence Specialist jobs Solutions Engineer jobs Project Management Intern jobs Recruiter jobs Executive jobs Customer Director jobs Solutions Consultant jobs Marketing Manager jobs Technical Recruiter jobs Co-Founder jobs Director jobs Relationship Manager jobs Customer Service Manager jobs Renewal Specialist jobs Implementation Consultant jobs Clinical Fellow jobs Product Consultant jobs Inside Sales Manager jobs Human Resources Associate jobs Human Resources Specialist jobs Illustrator jobs Salesperson jobs Hiring Manager jobs Associate Project Manager jobs Writer jobs Implementation Specialist jobs Senior Business Analyst jobs Customer Experience Manager jobs LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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2026-01-13T09:29:39
https://aws.amazon.com/contact-us/aws-sales/
AWS Support and Customer Service Contact Info | Amazon Web Services Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account AWS Support › Contact AWS Contact AWS General support for sales, compliance, and subscribers Want to speak with an AWS sales specialist? Get in touch Chat online or talk by phone Connect with support directly Monday through Friday Request form Request AWS sales support Submit a sales support form Compliance support Request support related to AWS compliance Connect with AWS compliance support Subscriber support services Technical support Support for service related technical issues. Unavailable under the Basic Support Plan. Sign in and submit request Account or billing support Assistance with account and billing related inquiries Sign in to request Wrongful charges support Received a bill for AWS, but don't have an AWS account? Learn more Support plans Learn about AWS support plan options See Premium Support options AWS sign-in resources See additional resources for issues related to logging into the console Help signing in to the console Need assistance to sign in to the AWS Management Console? View documentation Trouble shoot your sign-in issue Tried sign in, but the credentials didn’t work? Or don’t have the credentials to access AWS root user account? View solutions Help with multi-factor authentication (MFA) issues Lost or unusable Multi-Factor Authentication (MFA) device View solution Still unable to sign in to your AWS account? If you are still unable to log into your AWS account please fill out this form. View form Additional resources Self-service re:Post provides access to curated knowledge and a vibrant community that helps you become even more successful on AWS View AWS re:Post Service limit increases Need to increase to service limit? Fill out a quick request form Sign in to request Report abuse Report abusive activity from Amazon Web Services Resources Report suspected abuse Amazon.com support Request Kindle or Amazon.com support View on amazon.com Did you find what you were looking for today? Let us know so we can improve the quality of the content on our pages Yes No Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? Cloud Computing Concepts Hub AWS Cloud Security What's New Blogs Press Releases Resources Getting Started Training AWS Trust Center AWS Solutions Library Architecture Center Product and Technical FAQs Analyst Reports AWS Partners Developers Builder Center SDKs &amp; Tools .NET on AWS Python on AWS Java on AWS PHP on AWS JavaScript on AWS Help Contact Us File a Support Ticket AWS re:Post Knowledge Center AWS Support Overview Get Expert Help AWS Accessibility Legal English Back to top Amazon is an Equal Opportunity Employer: Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age. x facebook linkedin instagram twitch youtube podcasts email Privacy Site terms Cookie Preferences © 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved.
2026-01-13T09:29:39
https://twitter.com/creativecommons
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2026-01-13T09:29:39
https://marketplace.atlassian.com/apps/1220880/zoom-notifications-for-jira?hosting=cloud&amp;tab=overview
Zoom Notifications for Jira | Atlassian Marketplace For a better experience, update to Internet Explorer 11 or later, or use a different browser. . Your browser is incompatible, so things might not work properly. Skip to: Skip to Main content Marketplace Works with Categories Resources Regulated sectors Sign in Zoom Notifications for Jira by&nbsp; Zoom Video Communications works with Jira Cloud Get it now Free app More actions OVERALL RATINGS No reviews yet INSTALLS 1,243 SUPPORT Partner Supported Showing details for Cloud Overview Reviews Privacy &amp; Security Support Installation Key highlights of the app Zoom Chat notifications for Jira projects and issues right within your Zoom channel Supporting media More details Zoom helps businesses and organizations bring their teams together in a frictionless cloud environment to get more done. Use the Zoom Notifications for Jira bot to add subscriptions for projects and issues into your Zoom Chat channel. Once you connect your Zoom and Jira accounts, add a subscription by navigating to Jira Project settings &gt; Zoom integration Customize which project and issues statuses you'd like to view by configuring your channels, filters and priorities Review prioritized notifications from within Zoom Chat in your chosen group channels or from the dedicated Zoom Notifications for Jira bot channel Cut out the noise and focus on your top priorities. Language support : English. More languages to be supported later Resources Descriptor Get the descriptor file downloaded to your system Privacy and Security Privacy policy Atlassian's privacy policy is not applicable to the use of this app. Please refer to the privacy policy provided by this app's partner. Partner privacy policy Security program This app is not part of the Marketplace Bug Bounty program. Integration permissions Zoom Notifications for Jira integrates with your Atlassian app Check out integration details Version information Version 1.0.1-AC • for Jira Cloud Release date Aug 8th 2019 Summary Minor version update Details Minor version update Payment model Free License type Commercial - no charge Learn and explore What’s Marketplace App installation About Atlassian Atlassian resources Search and ranking Atlassian events Atlassian foundation Connect Get support Partner connect Developer resources Solution partner directory Atlassian communication channels Follow Privacy Policy Terms of Use Copyright © 2026 Atlassian
2026-01-13T09:29:39
https://www.microsoft.com/ko-kr/power-platform/products/power-apps
Microsoft Power Apps - AI를 사용하여 앱 빌드 | Microsoft This is the Trace Id: 057ce6bfdb3a540847dafe8e0a6a05aa 주 콘텐츠로 건너뛰기 Microsoft Power Platform Power Platform Power Platform 홈 Power Apps Power Platform 정보 무료로 체험하기 AI(인공 지능) 보안 및 거버넌스 Dataverse 커넥터 서식 파일 제품 Power BI Power BI Power BI Desktop Pro Premium Embedded Report Server Power Apps Power Automate Power Pages Copilot Studio 가격 책정 파트너 리소스 Power Apps 알아보기 Power Apps 블로그 설명서 Power Apps 지원 Power Apps 커뮤니티 앱 개발 주제 지금 구입하기 무료로 시작 로그인 자세히 Microsoft 전체 Global Microsoft 365 Teams Copilot Windows Surface Xbox 세일 지원 소프트웨어 소프트웨어 Windows 앱 AI OneDrive Outlook Skype에서 Teams로 이동 중 OneNote Microsoft Teams PC 및 장치 PC 및 장치 Xbox 쇼핑 주변 기기 엔터테인먼트 엔터테인먼트 Xbox Game Pass Ultimate Xbox 및 게임 PC 게임 기업 고객용 기업 고객용 Microsoft Security Azure Dynamics 365 비즈니스용 Microsoft 365 Microsoft Industry Microsoft Power Platform Windows 365 개발자 및 IT 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Visual Studio Marketplace Rewards 기타 기타 무료 다운로드 및 보안 교육 볼륨 라이선싱 사이트맵 보기 에이전트와 다시 구성된 거버넌스를 통해 지능형 앱 개발의 새로운 시대로 들어가세요. 블로그 읽기 Power Apps&lt;/h1> "> Power Apps AI가 포함된 앱을 제공하여 레거시 애플리케이션 및 시스템을 빠르게 현대화하세요. 테이블, 스케치, 문장 또는 사용자 고유의 코드에서 시작하고 원하는 방식으로 솔루션을 빌드하세요. 무료로 체험하기 둘러보기 기능 기능 사용 사례 분석가 보고서 가격 책정 솔루션 파트너 고객 스토리 리소스 FAQ 로그인 무료로 체험하기 로그인 무료로 체험하기 기능 Build professional solutions&lt;/h2> "> 전문 솔루션 빌드 AI 기반 개발 AI가 포함된 애플리케이션 엔터프라이즈급 거버넌스 사용자 지정 코드 개발 연결된 보안 데이터 강력한 모바일 앱 이전 다음 Copilot 시작 원하는 앱을 설명하면 AI가 앱 디자인을 도와줍니다. Power Apps의 Copilot을 사용하여 편집하고, 자동화를 추가하고, 코드를 작성하세요. 데이터 모델 만들기 및 편집 자연어를 사용하여 테이블을 원활하게 만들고 간단한 끌어서 놓기 환경을 통해 데이터를 연결합니다. AI 제안으로 빌드 제안된 아이디어로 올바른 컨트롤을 선택하여 앱을 더 빠르게 완료하세요. 처음부터 시작 AI가 이미지 및 Figma 파일에서 작업 중인 앱과 데이터를 빠르게 생성할 수 있도록 합니다. 개발 간소화 빠른 빌드 및 지속적인 개선을 위해 미리 빌드된 템플릿, 끌어서 놓기 기능 및 빠른 배포를 사용합니다. Copilot과의 채팅을 통해 사용자에게 답변 및 인사이트 제공(미리 보기) Copilot을 사용하여 AI 생성 데이터 인사이트를 사용하여 앱에서 더 많은 가치를 추출합니다. Copilot 지원으로 사용자 시간 절약(미리 보기) 사용자가 신속하게 양식을 작성하고, 텍스트 입력을 생성하고, Copilot의 기능으로 다른 일반적인 작업을 간소화할 수 있도록 도와줍니다. 앱에서 AI 모델 사용 미리 정의된 AI 모델을 사용자 지정하고 AI Builder를 통해 앱에 더 많은 인텔리전스를 제공합니다. 모든 디바이스에서 에이전트를 사용하여 사용자 역량 강화(미리 보기) 사용자가 어디에 있든 데스크톱, 모바일 또는 Microsoft Teams의 앱에서 생성형 AI 에이전트를 쉽게 배포하세요. 대규모 앱 관리 통합 거버넌스 덕분에 더 적은 노력으로 조직 전체에 배포된 앱을 파악하고 제어할 수 있습니다. 안심하고 배포 Microsoft Power Platform의 기본 제공 배포 파이프라인을 사용하여 애플리케이션 수명 주기 관리를 간소화하고 중앙 집중화합니다. 안전하게 빌드 업계를 선도하는 거버넌스 도구를 사용하여 환경을 설정 및 관리하고 IT 관련 위험을 발생시키지 않으면서 누구나 빌드할 수 있도록 합니다. 신뢰할 수 있는 도구 사용 Microsoft Azure, Visual Studio 및 GitHub와의 상호 운용성을 통해 모든 사용자가 가장 많이 사용하는 도구를 사용하여 빌드할 수 있습니다. 앱 기능 확장 모든 디바이스를 위한 앱을 만들어 맞춤형 사용자 환경을 디자인하고 특정 작업 및 역할에 최적화합니다. 필요한 경우 코드 작업 Microsoft Power Apps Studio 직접 YAML(기본 코드)을 참조하세요. 일반적인 개발자 패턴과 함께 로우 코드 개념을 사용하기 위한 패키지를 만듭니다. 로우코드 언어 사용 Microsoft Power Fx—는 Microsoft Power Platform 범용 강력한 형식의 로우 코드 프로그래밍 언어—를 사용합니다. Microsoft Dataverse 사용 비즈니스 논리, 보안 및 규정 준수를 처리하는 기본 제공 데이터 플랫폼을 사용하여 데이터 사일로를 분석하는 데 도움을 줍니다. 모든 데이터 원본에 연결 1,400개 이상의 커넥터 중에서 선택하거나 직접 빌드하여 데이터 원본에 쉽게 연결할 수 있습니다. 데이터를 통해 앱 만들기 간단한 끌어서 놓기 인터페이스에서 데이터 모델을 사용하여 몰입감과 반응성이 뛰어난 앱을 자동으로 생성합니다. 오프라인으로 작업 오프라인 우선 아키텍처를 사용한 네트워크 연결에 관계없이 일선 작업자가 어디서나 작업할 수 있도록 지원합니다. 네이티브 환경 만들기 성능 및 안정성이 향상된 디바이스에 기본적으로 최적화된 최신 모바일 인터페이스를 사용하여 일선 작업자 생산성을 향상하세요. 바코드 스캔, NFC(근거리 통신) 읽기, 미디어 캡처 및 위치 서비스와 같은 기능을 통합하여 실제 워크플로를 디지털 변환합니다. 원활하게 앱 배포 개별 모바일 디바이스 관리를 통해 최종 사용자에게 사용자 지정 브랜드 Android™ 및 iOS 앱을 배포합니다. 여러 일선 작업자가 SSO(Single Sign-On)를 사용하여 디바이스에서 쉽게 로그인 및 로그아웃할 수 있도록 공유 디바이스 모드를 사용합니다. 탭으로 돌아가기 사용 사례 Solve for any business problem&lt;/h2> "> 비즈니스 문제 해결 재무 모든 데이터 원본에서 시작하거나 단순히 데이터를 설명하여 예산, 예측 및 보고서를 빠르게 개발합니다. 영업 및 마케팅 서로 다른 시스템을 연결하여 제품 정보 및 판매 도구에 대한 인스턴트 알림을 제공하고 이러한 항목에 모바일에서 액세스할 수 있도록 합니다. 인사 관리 직원이 연결 상태를 유지하고, 데이터를 추적하고, 정보를 공유하고, 조치를 취하는 데 손쉽게 도움을 받을 수 있는 앱을 빌드합니다. 작업 감사 프로세스를 혁신하고, 재고 관리를 현대화하고, 파견 비용을 절감하세요. 최전방 직원 작업자와 관리자에게 데스크톱, 모바일 또는 공유 디바이스 또는 Microsoft Teams에서 효율성을 높이는 데 필요한 앱을 제공합니다. Drive real results with less code &lt;/h2> "> 더 적은 코드로 실제 결과 도출  Microsoft Power Apps이 비즈니스 가치, 개발자 효율성 및 최종 사용자 생산성을 어떻게 추진하는지 알아보세요. Forrester 조사 결과 읽기 50% Power Apps를 사용하여 앱 개발 시간 단축 1 206% 3년간 프리미엄 Power Apps의 ROI 1 &lt;6 투자 회수 기간(개월) 각주 11 분석가 보고서 Recognized by top industry analysts &lt;/h2> "> 업계 최고 분석가로부터 받은 인정  이전 다음 Microsoft가 The Forrester Wave™: 전문가 개발자를 위한 로우 코드 개발 플랫폼, 2023년 2분기. 2 보고서 읽기 엔터프라이즈 로우코드 애플리케이션 플랫폼에 대한 2024 Gartner® Magic Quadrant™에서 Microsoft가 리더로 선정된 이유를 알아보세요. 3 보고서 읽기 탭으로 돌아가기 가격 책정 Power Apps pricing&lt;/h2> "> Power Apps 가격 가격 세부 정보 보기 개발자 플랜 프로덕션 환경으로 이동하기 전에 실험할 세 가지 환경에서 무제한 앱을 빌드하고 테스트합니다. 무료 무료로 체험하기 프로덕션 환경으로 이동하기 전에 실험할 세 가지 환경에서 무제한 앱을 빌드하고 테스트합니다. 무료로 체험하기 이 제품은 해당 국가에서는 구매할 수 없습니다. Power Apps Premium 라이선스가 있는 사용자가 애플리케이션을 무제한으로 빌드, 현대화, 배포 및 실행할 수 있습니다.       ₩27,000 사용자/월, 연간 결제 가격에는 부가가치세가 포함되어 있지 않습니다. 지금 구입하기 라이선스가 있는 사용자가 애플리케이션을 무제한으로 빌드, 현대화, 배포 및 실행할 수 있습니다.       가격에는 부가가치세가 포함되어 있지 않습니다. 지금 구입하기 이 제품은 해당 국가에서는 구매할 수 없습니다. 솔루션 Powerful alone, better together&lt;/h2> "> 단독으로 사용해도 강력하지만, 함께 사용하면 더욱 강력한 성능 이전 슬라이드 다음 슬라이드 Accelerate professional development&lt;/h3> "> Power Apps 및 Azure 전문 개발 가속화 사용자 지정 코드 개발자가 애플리케이션에 대해 빠르고 반응성이 뛰어난 사용자 인터페이스를 빌드하고 배포할 수 있습니다. 자세한 정보 Power Apps 및 Teams 작업 공간 생산성 향상 Microsoft Teams를 통해 작업 흐름으로 Power Apps를 가져옵니다. 자세한 정보 Power Apps 및 SAP SAP 애플리케이션 변환 로우코드 솔루션 및 확장성을 위해 SAP 데이터 및 워크플로에 Microsoft Power Platform을 연결합니다. 자세한 정보 Power Apps 및 Dynamics 365 고객, 제품 및 앱 연결 Power Platform 및 Dynamics 365를 사용하여 비즈니스 성과 및 고객 참여를 최적화합니다. 자세히 알아보기 솔루션 캐러셀 섹션으로 돌아가기 파트너 Get expert help from Power Apps partners&lt;/h2> "> Power Apps 파트너로부터 전문가 도움 받기 로우코드 웹 사이트 개발에서 서비스 공급자의 Microsoft 파트너 에코시스템을 활용하세요. 파트너 찾기 파트너 되기 고객 스토리 How companies use Power Apps&lt;/h2> "> 회사에서 Power Apps를 사용하는 방식 이전 슬라이드 다음 슬라이드 Accenture에서는 매월 200,000명 이상의 사용자가 Microsoft Power Platform을 기반으로 빌드된 앱을 사용합니다.  $6M 연간 절감 효과 50,000 새롭게 숙련된 로우코드 개발자 Power Apps Power Automate&lt;/a>"> Power Automate 사례 읽기 모든 사례 읽기 HSBC는 새로운 혁신을 추진하기 위해 로우코드 접근 방식을 취하고 있습니다. 117,000 매년 절약된 시간 50% 절약 달성 90일 동안 11개 지역/국가에서 Power Platform에서 개발된 대출 솔루션 배포 후 Power Apps 사례 읽기 모든 사례 읽기 T-Mobile은 고객 이니셔티브를 관리하는 솔루션으로 상당한 시간과 비용을 절약합니다. $4M 단일 앱으로 저장됨 97,000 절약된 시간 Power Apps 사례 읽기 모든 사례 읽기 VITAS Healthcare는 앱 제품군을 사용하여 환자 치료를 개선하고 백만 장의 종이를 절약합니다. 100,000 매년 절약된 시간 100만 저장된 종이 Power Apps Power Automate&lt;/a>"> Power Automate 사례 읽기 모든 사례 읽기 고객 사례 캐러셀 섹션으로 돌아가기 리소스 Explore news, training, and support&lt;/h2> "> 뉴스, 교육 및 지원 살펴보기 추천 뉴스 학습 전자책 및 백서 지원 및 피드백 커뮤니티 이전 다음 이전 슬라이드 다음 슬라이드 Get the latest updates from the blog&lt;/h3> "> 블로그 블로그에서 최신 업데이트 받기 최신 제품, 커뮤니티 및 학습 업데이트에 대한 Power Apps 블로그를 읽어보세요. 블로그 읽기 See the latest from Microsoft Ignite&lt;/h3> "> 이벤트 Microsoft Ignite의 최신 소식 보기 2024 이벤트의 하이라이트 및 세션을 확인하고, 예정된 이벤트에 대한 알림을 받으려면 등록하세요. 지금 보기 리소스 탐색 섹션으로 돌아가기 이전 슬라이드 다음 슬라이드 Get updates from the blog&lt;/h3> "> 블로그 블로그에서 업데이트 확인 Power Apps 블로그에서 최신 제품, 커뮤니티 및 학습 업데이트 관련 소식을 읽어보세요. 블로그 읽기 Easily build low-code enterprise apps&lt;/h3> "> 설명서 로우코드 엔터프라이즈 앱을 손쉽게 빌드 프로세스를 현대화하고 까다로운 비즈니스 과제를 해결하는 로우코드 앱을 빠르게 빌드하는 방법에 대한 자세한 문서를 읽어보세요. 설명서 읽기 Explore Power Apps demos and tours&lt;/h3> "> 데모 및 가이드 둘러보기 Power Apps 데모 및 둘러보기 살펴보기 템플릿으로 또는 처음부터 앱을 쉽게 빌드하는 방법을 알아봅니다. 사용자 지정 코드를 사용하여 AI를 추가하고, 사용자 고유의 API를 만들고, UI를 개선하세요. 데모 보기 Explore learning paths and modules&lt;/h3> "> 자기 주도적 학습 학습 경로 및 모듈 살펴보기 Power Apps에 대한 Microsoft Learn 과정을 들어 새로운 기술을 개발하고 일반적인 작업을 성취하는 방법을 알아보세요. 시작 Read low-code app development articles&lt;/h3> "> 앱 개발 로우코드 앱 개발 문서 읽기 고객 만족도 및 직원 생산성을 개선하는 방법을 알아봅니다. 항목 찾아보기 리소스 탐색 섹션으로 돌아가기 이전 슬라이드 다음 슬라이드 Application modernization with Power Platform&lt;/h3> "> 백서 Power Platform을 사용하여 애플리케이션 현대화 Power Platform을 사용하여 애플리케이션을 현대화하는 이점, 전략 및 모범 사례에 대해 알아보세요. 백서 다운로드 Low code, high value: Increasing app development ROI&lt;/h3> "> 전자책 적은 코드, 높은 가치: 앱 개발 ROI 증가 로우코드 플랫폼을 통해 조직에서 개발 및 혁신을 가속화하는 방법을 알아보세요. 전자책 다운로드 Steer the future of development: Copilot and AI in Microsoft Power Platform&lt;/h3> "> 전자책 개발의 미래를 주도: Microsoft Power Platform의 Copilot 및 AI Power Platform의 AI 지원 개발 기능과 이 기능을 활용하는 방법에 대해 알아보세요. 전자책 다운로드 캐러셀 탐색 컨트롤로 돌아가기 이전 슬라이드 다음 슬라이드 Get support for your business&lt;/h3> "> 지원 계획 비즈니스에 대한 지원 받기 지원 계획을 살펴보고 요구 사항에 가장 적합한 항목을 선택합니다. 플랜 보기 Submit an idea&lt;/h3> "> 피드백 아이디어 제출 Power Apps를 개선할 수 있는 제안이나 아이디어가 있다면 말씀해 주세요. 아이디어 공유 리소스 탐색 섹션으로 돌아가기 이전 슬라이드 다음 슬라이드 Join the Power Apps Community&lt;/h3> "> 개요 Power Apps 커뮤니티 가입 동료와 연결되고, 아이디어를 공유하고, 전문가로부터 배우세요. 커뮤니티에 가입 Connect and collaborate&lt;/h3> "> 포럼 연결 및 공동 작업 공동 작업 문제 해결을 위해 Power Apps 포럼을 사용하고 전문가와 동료의 도움을 받으세요. 토론 참여 Connect with peers in user groups&lt;/h3> "> 사용자 그룹 사용자 그룹의 피어와 연결 Power Apps 사용자 그룹의 동료 및 제품 전문가와 함께 배우고, 성장하고, 협업하세요. 그룹 가입 리소스 탐색 섹션으로 돌아가기 탭으로 돌아가기 자주 묻는 질문 모두 확장 모두 축소 01/ Power Apps 비용은 얼마인가요? Power Apps 개발자 플랜을 사용하여 무료로 앱 빌드를 시작할 수 있습니다. 개별 또는 소규모 팀 사용의 경우 제한된 Power Apps Basic이 일부 Microsoft 365 라이선스에 포함됩니다. 전체 혜택을 활용하고 앱을 무제한으로 배포하려면 Power Apps Premium 라이선스에 등록하세요. 이 라이선스는 사용자당 매월 ₩28,350 의 비용이 듭니다. 가격 세부 정보 보기 02/ 앱을 빌드하려면 유료 라이선스가 필요한가요? Power Apps 개발자 플랜은 개발 및 테스트를 위해 무료로 제공됩니다. 완전한 기능을 갖춘 Power Apps 및 Power Automate 개발 도구로 코드를 작성하지 않고 앱과 흐름을 만들고 다른 사람들과 쉽게 공유하고 공동으로 작업하세요. 03/ 최신 뉴스를 계속 받아 보려면 어떻게 해야 하나요? Power Apps 커뮤니티에 가입하고 블로그의 뉴스를 팔로우하세요. 블로그 읽기 04/ 데이터는 Power Apps에 어떻게 저장되나요? Power Apps는 Microsoft Dataverse를 사용하여 데이터를 저장하고 관리하며, Microsoft의 포괄적인 로우코드 보안 및 거버넌스 기능/정책의 이점이 기본 제공됩니다. 보안에 대한 자세한 정보 05/ 로우코드는 섀도 IT를 활성화하고 보안 및 거버넌스 문제를 도입하나요? 아니요. 직원이 제공된 규칙 및 거버넌스에 따라 솔루션을 빌드하므로 조직에 로우코드 개발을 도입하면 섀도 IT를 줄일 수 있습니다. 로우코드 거버넌스에 대해 자세히 알아보기 06/ 로우코드 개발이 전문 개발자를 대체하나요? 로우 코드 개발은 개발자를 대체하는 것이 아니라 개발자에게 솔루션을 빌드하기 위한 추가 도구를 제공합니다. 이를 통해 개발자는 반복적인 작업을 자동화하고, 복잡한 작업의 우선 순위를 지정하고, 더 어려운 프로젝트에 시간을 할애할 수 있습니다. 또한 전문급 웹 사이트 및 앱을 만들어 조직의 더 많은 직원이 개발 팀을 지원할 수 있도록 지원합니다. 로우코드 개발과 기존 개발을 비교하여 자세히 알아보기 Take the next step&lt;/h2> "> 다음 단계 수행 Power Apps를 사용하여 무료로 빌드 시작 무료 개발자 계정으로 빌드하고 테스트합니다. 상상하고 설명한 다음 Power Apps에서 Copilot을 사용하여 앱이 빌드되는 모습을 보세요. 무료 체험 연락 요청하기 영업일 기준 2일 이내에 Microsoft 전문가 또는 파트너에게 연락 요청을 제출하세요. 요청 보내기 [1] The Total Economic Impact™ Of Microsoft Power Apps - Forrester Consulting이 실시한 위탁 연구, 2024년 7월. [2] The Forrester WaveTM: 전문가 개발자를 위한 로우 코드 개발 플랫폼, 2023년 2분기, John Bratincevic, Chris Bratincevic, Chris David, David Mooter, Andrew Andrew, Devin Burerson, Sarah Morana, Chris Analyticig, 2023년 6월 19일. [3] Gartner, Magic Quadrant for Enterprise Low-Code Application Platforms, Oleksandr Matvitskyy, Kimihiko Iijima, Mike West, Kyle Davis, Akash Jain, Paul Vincent, 2024년 10월 16일.   Gartner는 미국 및 기타 국가에서 Gartner, Inc. 및/또는 해당 계열사의 등록 상표 및 서비스 표시이며, Magic Quadrant는 Gartner, Inc. 및/또는 해당 계열사의 등록 상표이고, 허가받아 여기에 사용되었습니다. All rights reserved.     Gartner는 연구 간행물에 등장하는 공급업체, 제품 또는 서비스를 보증하지 않으며, 기술 사용자들에게 점수가 가장 높거나 그 밖의 평가 기준을 갖는 공급업체만 선택하도록 종용하지 않습니다. Gartner 연구 간행물에는 Gartner 연구 조직의 의견이 반영되어 있으며, 이를 사실에 대한 진술로 해석해서는 안 됩니다. Gartner는 본 연구와 관련하여 상업성 또는 특정 목적에의 적합성에 대한 보증을 비롯해 모든 명시적 또는 묵시적 보증을 부인합니다. Power Platform 팔로우 새로운 기능 Surface Pro Surface Laptop 조직용 Copilot 개인 사용자용 Copilot Microsoft 365 Microsoft 제품 살펴보기 Windows 11 앱 Microsoft Store 계정 프로필 다운로드 센터 Microsoft Store 지원 반품/환불 주문 조회 교육 Microsoft Education 교육용 장치 교육용 Microsoft Teams Microsoft 365 Education Office Education 교육자 트레이닝 및 개발 학생 및 학부모용 특가 혜택 Azure for students 기업 고객 Microsoft Security Azure Dynamics 365 Microsoft 365 Microsoft Advertising Microsoft 365 Copilot Microsoft Teams 개발자 및 IT Microsoft 개발자 Microsoft Learn AI 마켓플레이스 앱 지원 Microsoft Tech 커뮤니티 Microsoft Marketplace Microsoft Power Platform Marketplace Rewards Visual Studio 회사 채용 정보 Microsoft 정보 회사 뉴스 Microsoft 개인 정보 보호 투자자 지속 가능성 한국어(대한민국) 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 개인정보처리방침 선택 옵트아웃 아이콘 개인 정보 선택 사항 소비자 상태 개인정보처리방침 Microsoft에 문의 개인정보처리방침 및 위치정보이용약관 쿠키 관리 사용약관 상표 광고 정보 &#169; Microsoft 2026 한국마이크로소프트(유) 대표이사: 조원우 주소: (우)110-150 서울 종로구 종로1길 50 더 케이트윈타워 A동 12층 전화번호: 02-531-4500, 메일: ms-korea@microsoft.com 사업자등록번호: 120-81-05948 사업자정보확인 호스팅서비스 제공자: Microsoft Corporation 통신판매신고: 제2013-서울종로-1009호 사이버몰의 이용약관: Microsoft Store 판매 약관 .ow-link-wrapper #chatEngagement{ height: 35px; bottom: 0!important; } .ow-pro-c-body { background-color: #d5d5d5; padding-block-end: 100%; } .ow-pro-c-container-modal { position: fixed; right: 60px; bottom: 50px; z-index: 10040; height: 355px; width: 355px; /* background: #243A5E; */ background-image: linear-gradient(#1278D4 170px, 170px, white 355px 170px); box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-button-container { display: flex; justify-content: flex-end; } .ow-pro-c-close-button { height: 20px; width: 20px; display: flex; margin-block-start: 16px; margin-inline-end: 20px; background: none; border: none; color: #FFFFFF; } .ow-pro-c-h-text, .ow-pro-c-h-text-var-2 { color: #FFFFFF; font-size: 29px; margin-block-start: 0px; text-align: center; } .ow-pro-c-h-text { margin-block-start: 0px; } .ow-pro-c-h-text-var-2 { margin-block-start: 28px; } .ow-pro-c-p-text { color:#FFFFFF; font-size: 16px; margin-block-start: 16px; text-align: center; } .ow-pro-c-image-container { text-align: center; flex-direction: column; } .ow-pro-c-image { height: 75px; width: 75px; margin-block-start: 22px; border-radius: 50%; } button.ow-pro-c-chat-button { margin-block-start: 26px; } .ow-pro-c-button-glyph-container { display: flex; background: none; border: none; margin-block-start: 20px; } .ow-pro-c-no-button { font-size: 16px; font-family: &#39;Segoe UI&#39;; } .ow-pro-c-no-button.c-glyph { margin-inline-start: 5px; margin-block-start: 2px; } .ow-pro-c-container-modal-var-2 { position: fixed; right: 60px; top: 50%; transform: translateY(-50%); z-index: 10040; height: 355px; width: 355px; background-color: #243A5E; box-shadow: 0px 5px 20px rgba(0, 0, 0, 0.15); } .ow-pro-c-d-flex { display: flex; align-items: center; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2 { background: #ffffff; margin-block-start: 30px; } .ow-link-wrapper button.ow-pro-c-chat-button-var-2:focus:not(.x-hidden-focus) { background: #e5e5e5; } button.c-button.f-primary{ color: #fff!important; background: #0067b8!important; } button.c-button.f-primary:hover{ color: #fff; background: #4e596b; } .ow-pro-c-image-container .c-glyph.glyph-cancel:before{ font-size: 15px; position: relative; top: 1px; } .ow-pro-c-image-container ul {list-style: none; padding-left: 0;} &lt;/style> &lt;div class=&#34;ow-pro-c-container-modal proactive-chat-hidden&#34; id=&#34;proactive-chat-dialog&#34;> &lt;div class=&#34;ow-pro-c-button-container&#34;> &lt;button class=&#34;ow-pro-c-close-button c-glyph glyph-cancel&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; onclick=&#34;(window.chatInst.getProactiveChat()).toggle(false)&#34; >&lt;/button> &lt;/div> &lt;div class=&#34;ow-headinghelper-2 ow-pro-c-h-text&#34;>{{module.heading}}&lt;/div> &lt;div class=&#34;c-button f-primary ow-pro-c-p-text&#34;> {{chat-engagement.prompt}} &lt;/div> &lt;div class=&#34;ow-pro-c-image-container ow-pro-c-d-flex&#34;> &lt;img src=&#34;{{module.img-src}}&#34; alt=&#34;{{module.img-alt-txt}}&#34; class=&#34;ow-pro-c-image&#34; /> &lt;ul data-cta-count=&#34;1&#34;> &lt;li class=&#34;ow-link-wrapper&#34;> &lt;button id=&#34;chatEngagement&#34; aria-label=&#34;{{chat-engagement-aria-label}}&#34; class=&#34;c-button f-primary ow-pro-c-chat-button&#34; data-bi-cn=&#34;Chat_invite_accept&#34; data-bi-bhvr=&#34;180&#34; > &lt;span> {{chat-engagement.btn-txt}} &lt;/span> &lt;/button> &lt;/li> &lt;/ul> &lt;button id=&#34;chatDisengagement&#34; class=&#34;ow-pro-c-button-glyph-container ow-pro-c-d-flex&#34; aria-label=&#34;{{chat-disengagement.aria-label}}&#34; data-bi-cn=&#34;Chat_invite_decline&#34; data-bi-bhvr=&#34;15&#34; > &lt;div class=&#34;ow-pro-c-no-button&#34;>{{chat-disengagement.btn-txt}}&lt;/div> &lt;div class=&#34;ow-pro-c-no-button c-glyph glyph-cancel&#34;>&lt;/div> &lt;/button> &lt;/div> &lt;/div>'/> 닫기 구입 전 상담 창구에 문의하기
2026-01-13T09:29:39
https://www.linkedin.com/company/advanceai-aai?trk=products_seo_search
ADVANCE.AI | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join for free ADVANCE.AI IT Services and IT Consulting Singapore, Singapore 106,483 followers Global AI company in digital transformation, eKYC/KYB, fraud prevention, and risk management for Web 2/Web 3 companies. See jobs Follow Discover all 335 employees Report this company About us Listed in the World's Top 250 Fintech Companies by CNBC. ASEAN Fintech winner at the 2023 Global Fintech Awards by the Monetary Authority of Singapore. ADVANCE.AI is a leading end-to-end SaaS risk management company in Southeast Asia, providing KYC/KYB digital identity, compliance, fraud prevention, and process automation for enterprise clients. Started in 2016 and headquartered in Singapore, ADVANCE.AI is a leader in Artificial Intelligence, risk management, and digital lending solutions. It currently partners over 500 enterprise clients in sectors such as banking, financial services, fintech, payment, retail and e-commerce. ADVANCE.AI was recognised as for its innovative AI and fintech solutions in creating new growth opportunities, promoting financial inclusion, and enhancing the delivery of financial services across the ASEAN region. ADVANCE.AI is part of Advance Intelligence Group, a Series-D AI-driven technology company headquartered in Singapore, with operations across South and Southeast Asia, Latin America and Greater China. Advance Intelligence Group was ranked in Top 5 of LinkedIn’s 2023 Top Startups List in Singapore. At the heart of our Group vision is an AI-powered and credit-enabled marketplace ecosystem driving both digital commerce and digital financial services across Asia. In so doing, this will accelerate the digital transformation of enterprises and merchants, big and small, while enabling more equitable access to credit and financial inclusion for both underbanked and underserved consumers and businesses. Website http://advance.ai External link for ADVANCE.AI Industry IT Services and IT Consulting Company size 201-500 employees Headquarters Singapore, Singapore Type Privately Held Founded 2016 Specialties Fintech, Multi-finance, Big-data, Artificial Intelligence, Machine Learning, Cross-border management, Anti-Fraud, Credit Scoring, Credit Reporting, Network Security, and Technology Products No more previous content Digital Identity Verification, Identity Verification Software Digital Identity Verification Identity Verification Software DIV Platform, Identity Verification Software DIV Platform Identity Verification Software Face Search , Identity Verification Software Face Search Identity Verification Software ID Document OCR , Identity Verification Software ID Document OCR Identity Verification Software Liveness Detection , Identity Verification Software Liveness Detection Identity Verification Software One Stop Platform, Identity Verification Software One Stop Platform Identity Verification Software No more next content Locations Primary 80 Robinson Road Singapore, Singapore 068898, SG Get directions 33 Guangshun North Street Beijing, Beijing 100096, CN Get directions Julia Vargas St. Cor. Garnet St Manila, Manila 1605, PH Get directions Intiland Tower, JI. Jend. Sudirman 32 Jakarta, 10220 , ID Get directions Menara Pacific, 3 Jalan Bangsar, KL Eco City Kuala Lumpur, 59200, MY Get directions Show more locations Show fewer locations Employees at ADVANCE.AI Dennis Martin Love Marquez-Sevilla Deepu Joseph James Teh See all employees Updates ADVANCE.AI 106,483 followers 1w Report this post 2025 was a year of progress — built with intention, delivered through teamwork, and guided by trust. Across markets and teams, we turned plans into action and continued building solutions that create real impact for our customers and partners. What made this year meaningful wasn’t just the milestones we reached, but how we reached them — through collaboration, discipline, and a shared commitment to doing things thoughtfully and responsibly. Thank you to our teams, partners, and customers for the trust and collaboration throughout the year. We’re excited to keep building together in 2026. 🤝 Here’s a short look back at some of the moments that shaped our year. …more 47 1 Comment Like Comment Share ADVANCE.AI 106,483 followers 2w Report this post 🎄This Christmas, we wish you moments of joy, connection, and rest, wherever you may be in the world. May the holiday season bring warmth and peace.✨🎁 Warm holiday wishes from all of us at ADVANCE.AI !✨ …more 24 Like Comment Share ADVANCE.AI 106,483 followers 3w Report this post At Singapore FinTech Festival 2025, one of our most meaningful moments was seeing Dong Shou , Co-Founder of ADVANCE.AI , take the stage at Founders Peak — a flagship platform spotlighting founders shaping the future of global fintech. In his session, “The Guts to Change: From Village Roots to Global Impact,” Dong shared a candid reflection on what it truly takes to build a technology company across emerging markets — from early setbacks and repeated rejection, to staying anchored in purpose while navigating uncertainty. His story traces the journey behind ADVANCE.AI : building trust in new markets, persisting when conviction was tested, and evolving from an individual vision into a collective mission focused on scalable, responsible innovation. The session was a powerful reminder that behind every AI platform, identity solution, or risk engine, there is leadership shaped by resilience, long-term thinking, and belief in impact. Our thanks to The Founders Peak and the Global Finance &amp; Technology Network (GFTN) for providing a platform to share founder journeys that matter. 🎥 Watch Dong’s full Founders Peak session below. (Also available on Spotify, Apple Podcast and Google Podcast.) #FoundersPeak #SFF2025 #FintechLeadership #FounderJourney #DigitalIdentity #AI …more 42 1 Comment Like Comment Share ADVANCE.AI 106,483 followers 1mo Report this post 🇮🇩Day 1 at BFN Fest 2025 organised by Asosiasi FinTech Indonesia has been an inspiring start. From in-depth discussions on technology innovation to forward-thinking conversations around digital transformation in the financial industry, today reaffirmed how rapidly our ecosystem is evolving — and how critical trusted, scalable AI solutions are in shaping its future. As an AI-driven company empowering financial institutions with secure and seamless eKYC, fraud prevention, KYB, and risk intelligence, we’re proud to be part of these conversations and contribute to the digital maturity of the industry. Thank you to everyone who visited our booth, exchanged insights, and explored how we can accelerate transformation together. We remain highly eager and energised as we continue into Day 2. Make sure to visit us at Kasablanka Hall, booth #29 🚀 #BFNFest #BulanFintechNasional #DigitalTransformation #AFTECH #eKYC …more 20 Like Comment Share ADVANCE.AI 106,483 followers 1mo Report this post 🇮🇩 Last month, the ADVANCE.AI Indonesia team officially moved into our new office — marking yet another exciting new chapter in our journey of growth in one of our most important markets!! 🎉 This move to an even bigger space reflects our long-term commitment to Indonesia and our continued investment in local talent, innovation, and collaboration. As we scale our teams and expand our impact across the region, we’re building an environment where people can do meaningful work at the forefront of digital identity, risk, and AI-driven solutions. We’re proud of what our Indonesia team has built — and we’re just getting started. If you’re passionate about fintech, data, and making real-world impact, we’d love to hear from you. Check out our current job postings for more information &gt;&gt; https://lnkd.in/eCZf4B2Y &lt;&lt; …more 69 1 Comment Like Comment Share ADVANCE.AI 106,483 followers 1mo Report this post We’re officially here at BFN Fest 2025 organised by Asosiasi FinTech Indonesia !🚀 Throughout the event, we will be showcasing our comprehensive suite of AI-driven eKYC and digital identity verification solutions, designed to help financial institutions enhance compliance, strengthen risk management frameworks, and accelerate seamless customer onboarding. With increasing regulatory expectations and the growing need for robust digital trust infrastructure, our technology enables organizations to operate with greater confidence, efficiency, and accuracy. We look forward to engaging in meaningful discussions, exploring collaboration opportunities, and supporting the continued digital transformation of the financial services industry. Come and visit our booth to connect with our team and AI expert and learn more about how our solutions can empower your institution. #BulanFintechNasional #BFNFest #AFTECH #DigitalOnboarding #eKYC 16 Like Comment Share ADVANCE.AI 106,483 followers 1mo Edited Report this post We're pleased to share that we'll be exhibiting at Asosiasi FinTech Indonesia - Bulan Fintech Nasional Fest, a key gathering for forward-thinking professionals and organisations shaping the future of digital transformation on 10-11 December 2025 at Kota Kasablanka Hall, Jakarta. ADVANCE.AI ready for engaging conversations about the challenges and opportunities in identity verification, fraud prevention, and AI innovation. We’re excited to exchange insights, learn from fellow industry leaders, and showcase how our solutions are driving impact across the region. Don’t forget to stop by our booth at booth #29—we can’t wait to meet you and explore new possibilities together🚀 #BFNFEST #ADVANCEAI #DigitalTransformation #Fintech #AFTECH 13 Like Comment Share ADVANCE.AI 106,483 followers 1mo Report this post What an energising and purpose-driven week it has been for ADVANCE.AI at the Singapore FinTech Festival. This week wasn’t just about showcasing technology — it was about reconnecting with partners, regulators, and innovators who share our belief that trust is the foundation for the future of digital finance. Every conversation reaffirmed why we do what we do. Key highlights during Singapore Fintech Festival week : 🌱 A global conversation on innovation that matters We were honoured to return to the Insights Forum organised by GFTN and the Monetary Authority of Singapore (MAS). The roundtable discussions underscored a shared priority among global fintech players: scaling innovation while ensuring interoperability, security, and trust. We remain committed to contributing our expertise in AI, risk management, and digital identity infrastructure to support this agenda. 🤝 Welcoming distinguished leaders to our booth One of our proudest highlights was hosting Singapore Deputy Prime Minister Gan Kim Yong and senior leadership from OJK at the ADVANCE.AI booth. Demonstrating our AI-powered anti-deepfake liveness technology to leaders who shape the region’s financial landscape reinforced the impact our solutions can have — not only for businesses, but for national-level trust infrastructure. 🚀 A founder’s story that reflects our journey At The Founders Peak, our leadership took the stage to share stories rooted in grit, belief, and purpose — the same values that continue to guide ADVANCE.AI today. Hearing other founders open up about their challenges and breakthroughs reminded us how shared experiences fuel the strength of this ecosystem. 📌 Nexus Networking Dinner alongside with Singapore FinTech Association (SFA) We were also pleased to host the Nexus Networking Dinner, bringing together leaders from across the financial services and technology sectors for more focused discussions following the festival. The engagement throughout the evening highlighted the strong interest in collaboration around AI-driven risk management, digital identity, and regional interoperability. We are grateful to all partners and guests who joined us and contributed to meaningful dialogue that will continue to guide our shared priorities moving forward. We extend our appreciation to Monetary Authority of Singapore (MAS) Singapore FinTech Association (SFA) Global Finance &amp; Technology Network (GFTN) and the broader industry community for organising another impactful edition of the Singapore FinTech Festival. We look forward to advancing our mission with continued focus, partnership, and innovation. Onwards — together. #SFF25 #ADVANCEAI #FINTECH #SingaporeFintechFestival #DigitalIdentity #Deepfake +1 51 2 Comments Like Comment Share ADVANCE.AI 106,483 followers 2mo Report this post We are excited to be featured as a PathFin.ai solution provider and to be invited by Monetary Authority of Singapore (MAS) to showcase our solution at the Singapore FinTech Festival . PathFin.ai brings together proven AI solutions and real-world implementation insights to help financial institutions reduce the time, cost, and complexity of adopting AI responsibly. We are proud to contribute to this ecosystem and to share our experience with industry stakeholders. If you’re still at SFF today, drop by the MAS booth to see our live demo and learn how our solution supports secure, efficient, and scalable AI deployment for financial institutions. 📍 MAS Booth, Expo Hall 6 🕒 2–3PM SGT #innovation 24 1 Comment Like Comment Share ADVANCE.AI 106,483 followers 2mo Edited Report this post 🚀 An honour to welcome Mr. Gan Kim Yong , Singapore’s Deputy Prime Minister, Ministry of Trade and Industry (Singapore) , and Chairman of the Monetary Authority of Singapore (MAS) , to the ADVANCE.AI booth at the #SingaporeFinTechFestival 2025! 🚀 🇸🇬🇸🇬 DPM Gan plays a pivotal role in shaping Singapore’s innovation-driven #digitaleconomy and financial ecosystem. 🛡️ DPM Gan experienced our AI-powered anti-deepfake #liveness solution, which prevents synthetic #identityfraud in real time — a key challenge facing financial institutions today. He was joined by Advance Intelligence Group co-founder and CEO Jefferson Lanjie Chen and ADVANCE.AI Co-founder and Chairman Dong Shou , who walked him through how our #KYC technology is helping global banks, fintech platforms, and regulators strengthen #digitaltrust , #security and #compliance . 🇮🇩🇮🇩 We also had the honour of hosting Mr. Hasan Fawzi, Commissioner for Financial Sector Technology Innovation, Otoritas Jasa Keuangan , who tested our anti-deepfake solution — reinforcing how ADVANCE.AI is also helping FIs and regulators in #Indonesia stay ahead of rising #fraud , #deepfake and #digitalidentity challenges. 👏 A big thank you to all #advancers as well as SFF organisers, Constellar , who made it possible to showcase the best of ADVANCE.AI innovation on a global stage. 🌏 #ADVANCEAI #SFF2025 #deepfake #fraud #digitalidentity #riskmanagement +4 68 1 Comment Like Comment Share Join now to see what you are missing Find people you know at ADVANCE.AI Browse recommended jobs for you View all updates, news, and articles Join now Affiliated pages Advance Intelligence Group Technology, Information and Internet Singapore, Singapore Similar pages Advance Intelligence Group Technology, Information and Internet Singapore, Singapore Atome Financial Services Singapore, Singapore CBI Credit Bureau Indonesia Financial Services Jakarta, Jakarta Advance AI Software Development AI Rudder Software Development Bangun Percaya Sosial Financial Services WIZ.AI IT Services and IT Consulting ADVANCE.CBP Financial Services Makati, National Capital Region Dyna.Ai Technology, Information and Internet Singapore, Singapore Kredit Pintar Financial Services Jakarta Selatan, DKI Jakarta Show more similar pages Show fewer similar pages Browse jobs Analyst jobs 694,057 open jobs Engineer jobs 555,845 open jobs Data Analyst jobs 329,009 open jobs Manager jobs 1,880,925 open jobs Intern jobs 71,196 open jobs Graduate jobs 361,130 open jobs Business Development Specialist jobs 29,135 open jobs Consultant jobs 760,907 open jobs Account Manager jobs 121,519 open jobs Project Manager jobs 253,048 open jobs Scientist jobs 48,969 open jobs Head of Sales jobs 12,761 open jobs Assistant Manager jobs 360,456 open jobs Information Technology Consultant jobs 47,663 open jobs Director jobs 1,220,357 open jobs Senior Solutions Consultant jobs 17,704 open jobs Software Engineer jobs 300,699 open jobs Linguist jobs 1,643 open jobs Technical Lead jobs 214,024 open jobs Marketing Manager jobs 106,879 open jobs Show more jobs like this Show fewer jobs like this More searches More searches Analyst jobs Engineer jobs Scientist jobs Data Analyst jobs Intern jobs Machine Learning Engineer jobs Account Executive jobs Senior Product Marketing Manager jobs Sales Director jobs Software Engineer jobs Graduate jobs Manager jobs Intelligence Specialist jobs Specialist jobs Head of Product Marketing jobs Head of Consulting jobs Marketing Manager jobs Quantitative Researcher jobs Research Intern jobs Quantitative Analyst jobs Partner jobs Data Engineer jobs Artist jobs Finance Manager jobs Sales Manager jobs Account Manager jobs Project Manager jobs Mathematician jobs Lead Teacher jobs Research Scientist jobs Developer jobs Assistant jobs Data Scientist jobs Strategy Analyst jobs Fraud Specialist jobs Management Consultant jobs Area Sales Manager jobs Site Reliability Engineer jobs Sales Support Specialist jobs Marketing Executive jobs Director jobs Researcher jobs Principal Software Engineer jobs Consultant jobs Lead Software Engineer jobs Staff Software Engineer jobs Software Architect jobs Engineering Manager jobs Platform Engineer jobs Full Stack Engineer jobs Legal Counsel jobs Technical Lead jobs Finance Graduate jobs Senior Software Engineer jobs Key Account Manager jobs Research Assistant jobs Associate jobs Intellectual Property Manager jobs Administrative Assistant jobs Project Administrator jobs LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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2026-01-13T09:29:39
https://www.chinadaily.com.cn/a/202507/07/WS686b8bc7a31000e9a573a99e.html
GMD SCO Summit Cities - China Daily Top News Videos SCO in Focus Amazing Tianjin Cities key to building closer SCO community Smart cities key to driving SCO's intl influence Dialogue, understanding needed to solve problems Joined together: A taste of Tianjin at the SCO Mayors' Dialogue Bishkek seeks deeper ties with Chinese cities A story of trust discovered at Tianjin Port From smart Tianjin Port to SCO story China's experience using tech for urban growth draws adulation Smart cities key to driving SCO's intl influence 'Shanghai Spirit' reflects strength and resilience SCO members impressed by Tianjin's smart eco-city Tianjin impresses SCO delegates with heritage, innovation AI visions of Tianjin Exports from Beijing-Tianjin-Hebei hit record high Discover Tianjin's blend of modernity and heritage in pictures 5 cities rise as intl centers for consumption Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site. Top News Videos SCO in Focus Amazing Tianjin Cities key to building closer SCO community Smart cities key to driving SCO's intl influence Dialogue, understanding needed to solve problems Joined together: A taste of Tianjin at the SCO Mayors' Dialogue Bishkek seeks deeper ties with Chinese cities A story of trust discovered at Tianjin Port From smart Tianjin Port to SCO story China's experience using tech for urban growth draws adulation Smart cities key to driving SCO's intl influence 'Shanghai Spirit' reflects strength and resilience SCO members impressed by Tianjin's smart eco-city Tianjin impresses SCO delegates with heritage, innovation AI visions of Tianjin Exports from Beijing-Tianjin-Hebei hit record high Discover Tianjin's blend of modernity and heritage in pictures 5 cities rise as intl centers for consumption -->
2026-01-13T09:29:39
https://www.linkedin.com/company/shufti-pro?trk=products_seo_search
Shufti | LinkedIn Skip to main content LinkedIn Top Content People Learning Jobs Games Sign in Join now Shufti Software Development Smart identity verification platform to help businesses thrive in a trusted digital world. See jobs Follow Discover all 188 employees Report this company About us Shufti is a global identity verification platform helping businesses thrive through secure, AI-powered KYC, KYB, and AML solutions. Built for speed, scale, and precision, Shufti enables real-time verification of users, investors, and businesses across 240+ countries. With support for 10,000+ ID documents in 100+ languages, our AI + human-powered technology delivers unmatched accuracy and fraud prevention. Shufti proudly supports 1,000+ clients across fintech, crypto, iGaming, e-commerce, banking, healthcare, insurance, and trading industries. Trusted by leading brands like Binance, Bitget, Trading 212, EveryMatrix, and NovoPayment, we deliver secure, seamless identity verification solutions that power growth and compliance in fast-moving industries. Driven by the mission to build a fraud-free digital world, Shufti empowers businesses to grow with trust, compliance, and confidence. Website https://shuftipro.com/?utm_source=linkedin&amp;utm_medium=social&amp;utm_campaign=organic_social External link for Shufti Industry Software Development Company size 201-500 employees Headquarters London Type Privately Held Founded 2016 Specialties KYC, KYB, AML Screening &amp; Sanctions Monitoring, Document Verification, Age Verification, Fraud Risk Orchestration, Biometric Liveness &amp; Face Authentication, Identity Verification, Know Your Customer, AML Solution, KYC Solution, KYC Software, eIDV, and Fraud Prevention Products See all No more previous content Address Verification, Identity Verification Software Address Verification Identity Verification Software Age Verification, Identity Verification Software Age Verification Identity Verification Software Business AML Screening, Anti-Money Laundering (AML) Software Business AML Screening Anti-Money Laundering (AML) Software Business Verification, Identity Verification Software Business Verification Identity Verification Software Consent Verification, Identity Verification Software Consent Verification Identity Verification Software Document Verification, Identity Verification Software Document Verification Identity Verification Software e-Signature, Identity Verification Software e-Signature Identity Verification Software Electronic Identity Verification (eIDV), Identity Verification Software Electronic Identity Verification (eIDV) Identity Verification Software Facial Biometrics, Identity Verification Software Facial Biometrics Identity Verification Software Fast ID, Identity Verification Software Fast ID Identity Verification Software No more next content Products Address Verification, Identity Verification Software Address Verification Identity Verification Software Age Verification, Identity Verification Software Age Verification Identity Verification Software Business AML Screening, Anti-Money Laundering (AML) Software Business AML Screening Anti-Money Laundering (AML) Software Business Verification, Identity Verification Software Business Verification Identity Verification Software Consent Verification, Identity Verification Software Consent Verification Identity Verification Software Document Verification, Identity Verification Software Document Verification Identity Verification Software e-Signature, Identity Verification Software e-Signature Identity Verification Software Electronic Identity Verification (eIDV), Identity Verification Software Electronic Identity Verification (eIDV) Identity Verification Software Facial Biometrics, Identity Verification Software Facial Biometrics Identity Verification Software Fast ID, Identity Verification Software Fast ID Identity Verification Software Multi-factor Authentication, Identity Verification Software Multi-factor Authentication Identity Verification Software Shufti, Identity Verification Software Shufti Identity Verification Software Transaction Trust Screening, Identity Verification Software Transaction Trust Screening Identity Verification Software User AML Screening, Identity Verification Software User AML Screening Identity Verification Software User Risk Assessment, Identity Verification Software User Risk Assessment Identity Verification Software Video KYC, Identity Verification Software Video KYC Identity Verification Software Locations Primary Coppergate House, 10 Whites Row, London, E1 7NF, GB Get directions 67 S Bedford St #400w Burlington, US Get directions Arch. Makarios III Avenue 229 Limassol, CY Get directions Carl Krooks Gata 18 Helsingborg, SE Get directions Unit 507, Level 5, Gate District Precinct Building 03, Dubai International Financial Centre Dubai, AE Get directions Johar Town LHR Lahore, 54000, PK Get directions 8 Queens road east. Wan chai, Hong Kong Wan chai, HK Get directions 68 circular road #02-01 Singapore, 049422, SG Get directions Show more locations Show fewer locations Employees at Shufti Patrick Cox Paul Membrebe Steve Ullman Shahid Hanif See all employees Updates Shufti 32,260 followers 19h Report this post Seeing more “mismatch” flags in Vietnam? The reason may be structural, not user behavior. Vietnam’s 2025 address reform updated the official hierarchy, while many IDs still show legacy structure. Combine that with name-order differences and diacritics, and generic OCR/field parsing starts producing false fails. Shufti is built for Vietnam’s realities: - Post-reform address mapping  - Local name-order intelligence  - OCR tuned for Vietnamese text. Book a demo to see it in action. https://lnkd.in/ddgKb_6i #RegulatoryCompliance #Verification #TrustAndSafety #FintechCompliance #AddressVerification #Vietnam 7 Like Comment Share Shufti 32,260 followers 2d Edited Report this post Compliance or user experience? You don’t have to choose. Risk-based verification lets businesses meet AML &amp; CFT requirements without adding friction to onboarding. By adapting verification depth to user risk, you reduce drop-offs while staying regulator-ready. Read the full guide: https://lnkd.in/ddZnc_V8 6 Like Comment Share Shufti 32,260 followers 3d Report this post The real KYC panic doesn’t start with fraud. It starts when Compliance reads the latest regulation. BaFin, FINMA, SEPBLAC and others are tightening remote onboarding. “Good enough” selfie KYC is suddenly not enough. That’s when the pressure hits: - CEO asking about VideoIdent. - Compliance asking for recordings and logs. - Head of Legal asking about the next audit. - Risk department asking who’s catching deepfakes. - CFO asking why every check is so expensive. This is the moment Shufti Video KYC steps in: Live, compliance-trained agents + AI checks, VideoIdent-ready flows, full recordings and audit trails, built for high-risk, highly regulated onboarding. ▶️ Watch the full video to see that moment play out. Then decide if your Video KYC is ready for the same pressure. #VideoKYC #RegTech #AMLCompliance #IdentityVerification #FraudPrevention #BaFin #RiskManagement …more 27 Like Comment Share Shufti 32,260 followers 3d Report this post Meet the Shufti team heading to ICE Barcelona 2026 From 19th–21st January, Shufti will be exhibiting at ICE Barcelona (Hall 5, Stand 5G10), ready to connect with iGaming operators, payment providers, and fintech partners navigating compliance and full-cycle user verification in regulated markets. Representing Shufti at ICE Barcelona: - Roger Redfearn-Tyrzyk (Chief Commercial Officer) - Max Irwin (Vice President of Sales) - Michael Hughes (Head of Account Management) - Thomas Gadsden (Vice President of Product) If you’re attending ICE Barcelona and want to explore player verification, AML screening, age verification, or Compliance grade expansion in the regulated market, stop by our booth or schedule a time with us in advance. Hall 5, Stand 5G10 19–21 January 2026 42 Like Comment Share Shufti 32,260 followers 4d Edited Report this post AML compliance is at a turning point, and regulators are calling it out. The Financial Action Task Force (FATF) has been clear in its recent guidance: AML programs must be risk-based, proportionate, and effective without creating unnecessary friction for legitimate customers. At Shufti, this is exactly the gap we focus on closing. A Guide to AML Screening in 2026, covering where AML is heading, what regulators expect, and how businesses can stay compliant without sacrificing customer experience. Read it here: https://lnkd.in/gdKZpb_H 14 Like Comment Share Shufti 32,260 followers 4d Edited Report this post Shufti is now available on AWS Marketplace! Through four blind-spot audit engines, enterprises can re-scan previously approved customers directly within their own AWS environment. These audits help identify deepfakes, spoofed liveness, identity reuse, and manipulated documents that are missed by historical controls. All processing runs inside the customer’s AWS account and VPC, keeping data within existing security and governance boundaries. Because real risk rarely appears in dashboards, it often hides in what has already been approved. Explore Shufti’s audit engines on AWS Marketplace. https://lnkd.in/dKq59qht #AWSMarketplace #AWS #KYC #AML #FraudPrevention #Compliance #RegTech #FinTech 207 Like Comment Share Shufti 32,260 followers 1w Report this post If BaFin, FINMA or your internal audit knocked tomorrow… Would your Video KYC actually hold up? Most teams quietly worry about: - Video sessions that aren’t really VideoIdent-grade - Gaps in recordings, logs and operator oversight - Deepfakes and synthetic IDs slipping past “good enough” checks - Customers still being sent to branches while competitors onboard in minutes 👉🏻 Swipe the carousel to see the KYC “horror stories” we fix every day. Then turn them into clean, auditable approvals Book a Video KYC demo and see how Shufti can upgrade your onboarding flows 👉🏻 https://lnkd.in/d_Jmgd9v #VideoKYC #KYC #AMLCompliance #RegTech #FraudPrevention #BaFin #GwG 12 Like Comment Share Shufti 32,260 followers 1w Report this post What costs more, one missed takeover or a month of false rejects? ATO is now a systemic business risk, fueled by data breaches, weak/reused passwords, social engineering, and device threats like SIM swaps, session hijacking, and OTP theft So what actually makes us act, without hurting real users? - If a new device shows up or logins jump continents in minutes, we add an extra check. - If behavior looks off or the face doesn’t match, we run liveness and re-verify ID. - If an account is hit, we pull together ID, face, device, behavior, address, and KBA to give it back to the rightful owner fast. Curious how those signals work together, and how to tune them to your risk appetite? That’s the playbook. Read the full whitepaper: https://lnkd.in/dvkBu78F #AccountTakeover #DigitalTrust #FraudPrevention #IdentityVerification #RiskManagement 3 Like Comment Share Shufti 32,260 followers 1w Edited Report this post Out of every 100 people who try to sign up, 37 don’t make it through onboarding. That’s something you should worry about because it’s exactly what Mooven Enterprise went through: - Miss Checks-a-Lot was overwhelmed by false acceptances, false rejections, and incomplete KYC profiles that kept piling up. - Captain Coin was concerned about rising friction and costs tied to users who never made it to activation. - Miss Coda Yoda was struggling with too many stitched vendors, increasing complexity, and creating more system failure points. - Mr. Big needed clarity and a decisive move before operational issues turned into reputational damage. And if you don’t want this to hit you right at the start of the new year, there are a few things you need to understand before you scale or switch your identity verification solution. Read how the team identified the problem and what enterprises should look for before onboarding becomes a silent growth tax. https://lnkd.in/dYgy-x5x 237 3 Comments Like Comment Share Shufti 32,260 followers 1w Edited Report this post ICE Barcelona 2026 brings together global iGaming and regulated-market operators at a defining moment for regulation, player protection, and innovation. Shufti will be exhibiting at ICE Barcelona from 19–21 January 2026, meeting with iGaming operators, payments, fintech, and digital platform providers to discuss how identity verification, age assurance, AML screening, and fraud prevention can support compliant growth across regulated markets. Shufti’s delegation includes: - Roger Redfearn-Tyrzyk , Chief Commercial Officer - Max Irwin , Vice President of Sales - Michael Hughes , Head of Account Management - Thomas Gadsden , Vice President of Product Join us at Stand 5G10, Hall 5, to see how Shufti helps gaming and betting operators stay fully compliant. 19–21 January 2026 | Fira Barcelona Gran Via Barcelona, Spain This content isn’t available here Access this content and more in the LinkedIn app Download the app 193 Like Comment Share Join now to see what you are missing Find people you know at Shufti Browse recommended jobs for you View all updates, news, and articles Join now Similar pages Programmers Force IT Services and IT Consulting Lahore, Punjab Sumsub IT Services and IT Consulting AML Watcher IT Services and IT Consulting Dover, Delaware IDnow Software Development Munich, Bavaria Onfido IT Services and IT Consulting London, England Facia Data Security Software Products Jumio Corporation Software Development Sunnyvale, California Veriff Software Development Trulioo Software Development Vancouver, British Columbia PureLogics Software Development New York, NY Show more similar pages Show fewer similar pages Browse jobs Director jobs 1,220,357 open jobs Director of Operations jobs 61,881 open jobs Associate jobs 1,091,945 open jobs Manager jobs 1,880,925 open jobs Head of Business Development jobs 9,067 open jobs Chief Executive Officer jobs 169,557 open jobs Project Manager jobs 253,048 open jobs Head jobs 1,018,536 open jobs Head of Sales jobs 12,761 open jobs Head of Operations jobs 10,629 open jobs Sales Director jobs 83,949 open jobs Engineer jobs 555,845 open jobs Analyst jobs 694,057 open jobs Human Resources Specialist jobs 34,340 open jobs Revenue Officer jobs 34,196 open jobs Sales Manager jobs 310,050 open jobs Country Manager jobs 83,704 open jobs Vice President jobs 235,270 open jobs Global Head jobs 24,509 open jobs Coach jobs 205,587 open jobs Show more jobs like this Show fewer jobs like this Funding Shufti 1 total round Last Round Series A Apr 15, 2022 External Crunchbase Link for last round of funding US$ 20.0M Investors Updata Partners See more info on crunchbase More searches More searches Director jobs Head of Sales jobs Head jobs Manager jobs Sales Director jobs Senior Vice President jobs President jobs Head of Business Development jobs Associate jobs Senior Vice President Operations jobs Vice President jobs Head of Operations jobs Engineer jobs Vice President of Professional Services jobs Account Director jobs Country Manager jobs Revenue Officer jobs Copywriter jobs Scientist jobs Engineer Intern jobs Specialist jobs Human Resources Specialist jobs Vice President Operations jobs Chemical Engineer jobs Marketing Manager jobs Recruiter jobs Moderator jobs Analyst jobs Telesales Manager jobs Sales Team Manager jobs Data Scientist jobs Writer jobs Senior Product Manager jobs Regional Vice President jobs Chief Sales Officer jobs Claims Handler jobs Customer Service Manager jobs Chief Business Officer jobs Data Analyst jobs Head of Account Management jobs Regional Director jobs Executive Vice President jobs Lead jobs Head of Development jobs Account Manager jobs Head of Strategy jobs Managing Director jobs Chief Executive Officer jobs Inside Sales Manager jobs Sales Lead jobs Vice President of Sales jobs General Manager jobs Assistant Vice President jobs Director of Operations jobs Sales Technician jobs Project Manager jobs Junior Analyst jobs Manager Strategy Operations jobs Communications Specialist jobs Lead Piping Engineer jobs LinkedIn &copy; 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines العربية (Arabic) বাংলা (Bangla) Čeština (Czech) Dansk (Danish) Deutsch (German) Ελληνικά (Greek) English (English) Español (Spanish) فارسی (Persian) Suomi (Finnish) Français (French) हिंदी (Hindi) Magyar (Hungarian) Bahasa Indonesia (Indonesian) Italiano (Italian) עברית (Hebrew) 日本語 (Japanese) 한국어 (Korean) मराठी (Marathi) Bahasa Malaysia (Malay) Nederlands (Dutch) Norsk (Norwegian) ਪੰਜਾਬੀ (Punjabi) Polski (Polish) Português (Portuguese) Română (Romanian) Русский (Russian) Svenska (Swedish) తెలుగు (Telugu) ภาษาไทย (Thai) Tagalog (Tagalog) Türkçe (Turkish) Українська (Ukrainian) Tiếng Việt (Vietnamese) 简体中文 (Chinese (Simplified)) 正體中文 (Chinese (Traditional)) Language Agree & Join LinkedIn By clicking Continue to join or sign in, you agree to LinkedIn’s User Agreement , Privacy Policy , and Cookie Policy . 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2026-01-13T09:29:39