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https://www.atlassian.com/software/loom/use-case/support | Using Video Messaging for Customer Support Services | Atlassian Close View this page in your language ? All languages Choose your language 中文 Deutsch English Español Français Italiano 한국어 Nederlands 日本語 Português Pусский Polski Try it free Features Explore features Meeting Notes Screen Recorder Screenshots Loom AI Editing Back Solutions Teams Use Cases Company size Teams Sales Marketing Design Support Product Management Engineering Use Cases Loom + Jira Loom + Confluence Company size Enterprise Back Resources Pricing More + Less - Try it free Back Try it free Loom for Support Elevate customer service with video messaging Loom helps teams turn customers into lifelong fans by personalizing customer interactions at scale Get Loom for free Use video to build customer rapport Customers can watch videos versus reading long emails. Create quality customer service content to educate buyers and improve customer engagement. Video is timely Close the feedback loop faster by addressing customer concerns with a personal touch. Video is personalized Create custom videos to help customers maximize your product with clear visuals. Video is interactive Track video engagement and spot when customers need extra support. Features for customer support Record with ease Capture your screen from a browser, desktop, or phone to address customer needs. Share anywhere Send Looms by e-mail, chat, web, or social media with download-free viewing. Integrate your tools Loom works with customer service tools like Zendesk to simplify support. Review the views See when and how customers engage with your customer support videos. Branded support Add your company logo and color palette for consistent branding. Continue to help Review comments and provide additional support services right from your video. Help users and increase customer satisfaction Support users through high-quality customer service videos. A personal touch increases retention Customers who have personalized experiences with your brand are more likely to become repeat buyers. Loom makes personalization easy, which can boost customer lifetime value. Video support is high-quality support Video is a livelier way to engage with customers, and it can be more valuable too. It’s easier to learn to use a product feature, for example, when customers can see how it works. Personalization avoids churn Over 60% of customers churn when a brand delivers a non-personalized experience. Loom adds the human touch needed to reduce churn and improve customer satisfaction metrics. “Loom, with the little face bubble in the corner is so powerful. It works so much better than traditional formats, where an audio track runs over animation or a slide show. Having a real face in the corner adds personality and brings the storytelling to life.” Erica Goodell Customer Success, Pearson Loom AI serves those who serve customers A clear message Loom AI removes filler words and deletes pauses automatically. Finishing touches Use Loom AI to generate titles, summaries, and chapters to boost engagement and clarity. Instant sharing Loom AI drafts emails in a flash for a polished presentation. Try Loom AI for free Faster recording, more time to focus on the customer Skip the re-records with quick edits, easy clip management, and eye-catching enhancements like backgrounds, text, arrow, and box overlays. Deliver standout customer service with video that’s clear and engaging. Try it out From our blog How to use asynchronous videos to improve customer support 4 reasons your customer support process needs video Read the article How we leverage video in customer support strategy Read the article Explore our blog Explore ways to use Loom Loom for Engineering Learn more Loom for Sales Learn more Loom for Product Management Learn more See all use cases Loom works wherever you do For Mac, Windows, iOS, and Android Get Loom for free Company Careers Events Blogs Investor Relations Atlassian Foundation Press kit Contact us products Rovo Jira Jira Align Jira Service Management Confluence Loom Trello Bitbucket See all products Resources Technical support Purchasing & licensing Atlassian Community Knowledge base Marketplace My account Create support ticket Learn Partners Training & certification Documentation Developer resources Enterprise services See all resources Copyright © 2025 Atlassian Privacy Policy Terms Impressum Choose language Deutsch English Español Français Italiano 한국어 Nederlands 日本語 Polski Português русский 中文 | 2026-01-13T09:29:26 |
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https://www.linkedin.com/products/netscout-arbor-sightline/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_full-click | Arbor Sightline | LinkedIn Skip to main content LinkedIn NETSCOUT 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 Arbor Sightline Network Monitoring Software by NETSCOUT See who's skilled in this Add as skill Learn more Report this product About The network is the business. Operators must optimize resources, reduce service availability threats and thus save money. Arbor Sightline provides robust capabilities from network-wide capacity planning, to identifying and managing the mitigation of threats to the network. This pervasive network data can also be leveraged to make routing and peering design decisions, lower transit costs, eliminate network threats and provide your business with new revenue-generating services. Arbor’s DDoS attack protection solutions are based upon industry-leading technology. NETSCOUT offers a comprehensive portfolio of fully integrated, in‑cloud and on-premise DDoS protection products and services; all backed by continuous global threat intelligence. Media Products media viewer No more previous content Detecting and Mitigation a DDoS Attack Utilizing Arbor Sightline and TMS Learn how to detect and mitigate a DDoS Attack using NETSCOUT Arbor Sightline and TMS on a large enterprise or service provider network. Here, we demonstrate how DDoS Mitigation can be carried out by first detecting the attack and then automatically beginning mitigation using Arbor TMS. Multi-vector DDoS attacks are threats to all networks. In this example, NETSCOUT shows how Arbor Sightline and TMS can be used to detect and protect against an attack on a server farm. Threat Detection Through proactive detection of network or service availability threats, Sightline can quickly diagnose and manage DDoS attacks. Network Capacity Management You can employ Sightline to monitor the capacity of network infrastructure, which allows you to avoid saturation and re-engineer network traffic for more efficient utilization. Network Peering Analysis Your network delivers value to customers and users when it connects to other networks. Peering analysis helps determine what traffic can transfer off of expensive transit links to either free peering or even become revenue-generating as a new customer. Arbor Sightline Infrastructure No more next content Similar products NMS NMS Network Monitoring Software Network Operations Center (NOC) Network Operations Center (NOC) Network Monitoring Software TEMS™ Suite TEMS™ Suite Network Monitoring Software Progress Flowmon Progress Flowmon Network Monitoring Software ASM ASM Network Monitoring Software ONES (Open Networking Enterprise Suite) ONES (Open Networking Enterprise Suite) Network Monitoring Software Sign in to see more Show more Show less NETSCOUT products Arbor Edge Defense Arbor Edge Defense DDoS Protection Software Arbor Cloud DDoS Protection Arbor Cloud DDoS Protection DDoS Protection Software Arbor Threat Mitigation System (TMS) Arbor Threat Mitigation System (TMS) DDoS Protection Software InfiniStreamNG (ISNG) InfiniStreamNG (ISNG) Business Continuity Software nGenius Business Analytics nGenius Business Analytics Business Intelligence (BI) Software nGeniusONE nGeniusONE Application Performance Monitoring (APM) Software nGeniusPULSE nGeniusPULSE Network Management Software Omnis Threat Horizon Omnis Threat Horizon DDoS Protection 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 | 2026-01-13T09:29:26 |
https://www.shopify.com/cz | Shopify Česká republika Přejít k obsahu Řešení Začněte Začněte podnikat . Vybudujte si značku Vytvořte si webové stránky . Editor online obchodu Přizpůsobte si obchod . Motivy obchodu Vyhledejte firemní aplikace . Shopify App Store Prodej Prodávejte vlastní produkty . Prodávejte online nebo osobně Odbavujte zákazníky . Pokladna světové třídy Prodávejte online . Rozšiřte své podnikání online Prodej prostřednictvím kanálů . Oslovte miliony kupujících a zvyšte prodeje. Prodávejte globálně . Mezinárodní prodeje Prodávejte velkoobchodním zákazníkům i přímo spotřebitelům . B2B Trh Propagujte svou firmu . Oslovujte zákazníky a udržte si je Propagace na sociálních sítích . Integrace sociálních sítí Hýčkejte si zákazníky . Shopify Email Poznejte svoji cílovou skupinu . Získejte užitečné informace o zákaznících Správa Spravujte své podnikání . Sledujte prodeje, objednávky a analytiku Měřte svou výkonnost . Analytika a vykazování Spravujte skladové zásoby a objednávky . Správa skladových zásob a objednávek Vývojáři Shopify . Vyvíjejte pomocí výkonných API od Shopify Plus . Obchodní řešení pro rozvíjející se online značky Všechny produkty . Projděte si všechny produkty a funkce Shopify Ceny Informace Nápověda a podpora Nápověda a podpora . Získejte nepřetržitou podporu Blog Shopify . Tipy týkající se obchodní strategie Základní nástroje Generátor obchodních názvů . Tvůrce log . Licencované fotografie . Generátor QR kódů . Přihlásit se Začít zdarma Začít zdarma Buďte to příště vy, kdo bude novou senzací Buďte to příště vy, kdo založí obchod, na který se stojí ve frontě kdo bude novou senzací komu porostou počty sledujících kdo přijde s revolučním produktem kdo založí cenný startup kdo založí slavnou značku kdo bude vlastnit globální impérium kdo vynikne jako jedinečná osobnost kdo založí obchod, na který se stojí ve frontě Nebojte se snít, rychle se rozvíjet a rozrůstat na platformě Shopify. Začít zdarma Proč budujeme platformu Shopify Za vším stojí jedna komerční platforma Prodávejte online i osobně. Prodávejte ve své lokalitě i globálně. Prodávejte přímo i jako velkoobchod. 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Vyberte si plán, který vám vyhovuje Online i osobní prodej Prodávejte tady, tam a všude Získejte úžasný obchod , který je přímo stvořen k prodeji. Navrhujte rychle pomocí umělé inteligence, vyberte si stylový motiv nebo vše mějte plně pod kontrolou a vytvořte si svůj vlastní. Místo pro osobní prodej Prodávejte ve své prodejně a zajistěte synchronizaci prodeje offline a online díky aplikaci Shopify POS . Publikování prostřednictvím různých kanálů Zviditelněte se na stránkách, které nakupující navštěvují, kde vyhledávají a nakupují díky integraci více kanálů . S podporou nejlepší pokladny na světe Pokladna Shopify Checkout je rychlá, plně přizpůsobitelná a optimalizovaná na uskutečňování velkého objemu prodejů. Přímý prodej i velkoobchod Najděte své věrné zákazníky Oslovte ty správné zákazníky s menšími náklady Získejte nové zákazníky a přilákejte je, aby se vrátili pro další produkty díky integrovaným marketingovým nástrojům a užitečným analýzám . Zajistěte další růst díky modelu B2B Vytvořte vlastní prostředí pro velkoobchodníky s flexibilním naceněním, slevami a platebními podmínkami. Lokální i globální prodej Prodávejte po celém světě Buy now 🇺🇸 Objednávka za 40,00 US$ Buy now 🇺🇸 Objednávka za 125,00 US$ Buy now 🇺🇸 Objednávka za 125,00 US$ Buy now 🇺🇸 Objednávka za 125,00 US$ Buy now 🇺🇸 Objednávka za 125,00 US$ Buy now 🇺🇸 Objednávka za 125,00 US$ Prodávejte a expedujte po celém světě Platforma Shopify zjednodušuje mezinárodní prodej od rychlejšího a cenově dostupnějšího dodávání produktů až po přizpůsobení obchodního prostředí pomocí Shopify Markets . Počítače i mobilní zařízení Pečujte o své podnikání Kompletní správa na jednom místě Plně centralizovaný administrátor Shopify vám umožňuje mít neustále kontrolu nad celým provozem, od administrativy po prodej. Provozujte obchod odkudkoli Celý provoz můžete mít ve své kapse díky mobilní aplikaci Shopify vybavené všemi funkcemi. Aplikace pro všechno ostatní Shopify již v základu obsahuje všechno nezbytné, ale pokud potřebujete něco navíc, je tu Shopify App Store s více než 13 000 komerčními aplikacemi s nejrůznějšími specializovanými funkcemi. Od vývojářů pro vývojáře API, primitivní datové typy a nástroje pomáhají vývojářům a partnerům při sestavení aplikací, motivů a vlastních obchodů, které podnikatelé požadují. Hydrogen: prostředí headless commerce společnosti Shopify Vytvářejte vlastní cílové stránky obchodu Rozšiřujte možnosti pokladny Vytvářejte aplikace shopify.dev Nejlepší místo pro budování vašeho podnikání Pokladna s nejlepší konverzí na světě Vyšší konverze 15 % Zákazníci s vysokým zájmem o nakupování 150 mil. + Pokladna Shopify Checkout zvyšuje konverzi v průměru o 15 % oproti jiným komerčním platformám a zviditelňuje vaši značku 150 milionům zákazníků připravených k nákupu. Na základě externí studie provedené ve spolupráci se světovou poradenskou firmou ze skupiny Big Three v dubnu 2023. Stabilní a neskutečně rychlá platforma Platforma Shopify zkrátí vaši vzdálenost od každého nakupujícího na celé planetě na 50 milisekund a nabízí kapacitu pro zpracování i toho největšího nákupního náporu. Společnost Shopify neustále inovuje Náš tým více než 4 000 špičkových vývojářů neustále implementuje nejnovější technologie, které zajišťují, že vaše podnikání je silnější, rychlejší a úspěšnější. Umělá inteligence vytvořená pro obchodování Aplikace Shopify Magic využívá výkonnost umělé inteligence a šetří váš čas, ať se jedná o obsah produktů nebo nabízení tipů na efektivní využití platformy Shopify. Nepřetržité inovace Společnost Shopify vydává každých 6 měsíců více než 150 nových funkcí a upgradů – všechny jsou představeny v Shopify Editions . Začít prodávat je snadné 01 Přidejte svůj první produkt 02 Přizpůsobte si obchod 03 Nastavte platby Zkuste to Shopify O nás Kariéra Investoři Tisk a média Partneři Affiliate partneři Právní informace Stav služby Podpora Podpora pro obchodníky Centrum nápovědy Shopify Najděte partnera Shopify Academy Vývojáři Shopify.dev Dokumentace k rozhraní API Dev Degree Produkty Shop Shop Pay Shopify Plus Shopify pro podniky Řešení Tvůrce online obchodu Nástroj pro tvorbu webů Česká republika | Čeština Argentina Español | English Austrálie English Belgie Nederlands | German | Français | English Bělorusko Russian | English Brazílie Português | English Bulharsko Bulgarian | English Česká republika Čeština | English Chile Español | English Dánsko Dansk | English Filipíny English Finsko Suomi | English Francie Français | English Hongkong – zvláštní administrativní oblast 繁體中文 | English Indie Hindi | English Indonésie Indonesian | English Irsko English Itálie Italiano | English Izrael English Japonsko 日本語 Jihoafrická republika English Kanada English | Français Kolumbie Español | English Korea 한국어 | English Litva Lithuanian | English Maďarsko Hungarian | English Malajsie English Mexiko Español | English Německo Deutsch | English Nigérie English Nizozemsko Nederlands | English Norsko Norge | English Nový Zéland English Pákistán English Peru Español | English Polsko Polski | English Portugalsko Português | English Rakousko Deutsch | English Řecko Greek | English Rumunsko Romanian | English SAE English Singapur English Španělsko Español | English Spojené království English Švédsko Svenska | English Švýcarsko Deutsch | Français | Italiano | English Tchaj-wan 繁體中文 | English Thajsko ไทย | English Turecko Türkçe | English USA English | Español (Intl.) | 简体中文 Česká republika | Čeština Zvolte oblast a jazyk Argentina Español | English Austrálie English Belgie Nederlands | German | Français | English Bělorusko Russian | English Brazílie Português | English Bulharsko Bulgarian | English Česká republika Čeština | English Chile Español | English Dánsko Dansk | English Filipíny English Finsko Suomi | English Francie Français | English Hongkong – zvláštní administrativní oblast 繁體中文 | English Indie Hindi | English Indonésie Indonesian | English Irsko English Itálie Italiano | English Izrael English Japonsko 日本語 Jihoafrická republika English Kanada English | Français Kolumbie Español | English Korea 한국어 | English Litva Lithuanian | English Maďarsko Hungarian | English Malajsie English Mexiko Español | English Německo Deutsch | English Nigérie English Nizozemsko Nederlands | English Norsko Norge | English Nový Zéland English Pákistán English Peru Español | English Polsko Polski | English Portugalsko Português | English Rakousko Deutsch | English Řecko Greek | English Rumunsko Romanian | English SAE English Singapur English Španělsko Español | English Spojené království English Švédsko Svenska | English Švýcarsko Deutsch | Français | Italiano | English Tchaj-wan 繁體中文 | English Thajsko ไทย | English Turecko Türkçe | English USA English | Español (Intl.) | 简体中文 Podmínky služby Zásady ochrany osobních údajů Mapa webu | 2026-01-13T09:29:26 |
https://www.linkedin.com/jobs/airbnb-jobs-worldwide | 3,000+ Airbnb jobs in Worldwide Skip to main content LinkedIn Airbnb 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 Create an account Any time Any time (2,871) Past month (1,656) Past week (723) Past 24 hours (158) Done Company Clear text The Flex (336) Airbnb (237) Zip (98) Vonage (81) Pennylane (64) Done Job type Full-time (2,634) Part-time (127) Contract (128) Temporary (8) Internship (77) Done Experience level Internship (196) Entry level (828) Associate (76) Mid-Senior level (1,595) Director (75) Done Remote Remote (1,320) On-site (1,136) Hybrid (552) Done Get notified when a new job is posted. Set alert Sign in to set job alerts for “Airbnb” roles. 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 . 3,000+ Airbnb Jobs in Worldwide Senior Manager Communications Senior Manager Communications Airbnb United States Actively Hiring 4 days ago Manager Safety Regional Operations Manager Safety Regional Operations Airbnb United States Actively Hiring 4 days ago Product Manager, LATAM (São Paulo, Brazil) Product Manager, LATAM (São Paulo, Brazil) Airbnb Miami, FL Actively Hiring 4 days ago **** - ********** ** ******ê**** ** ******* **** - ********** ** ******ê**** ** ******* **** ******** ********** ******, **********, ****** 3 days ago ******* *******, ***** (***** ** *** *********) ******* *******, ***** (***** ** *** *********) ****** *****, ** Actively Hiring 4 days ago ******* *******, ***** (*ã* *****, ******) ******* *******, ***** (*ã* *****, ******) ****** *** *********, ** Actively Hiring 4 days ago ****** ******* ****** ******* ***** ****** *** ****, ** 1 week 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 © 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 . | 2026-01-13T09:29:26 |
https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/CloudWatch-Agent-Configuration-File-Details.html | Erstellen oder bearbeiten Sie die CloudWatch Agenten-Konfigurationsdatei manuell - Amazon CloudWatch Erstellen oder bearbeiten Sie die CloudWatch Agenten-Konfigurationsdatei manuell - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Manuelles Speichern der Agentenkonfigurationsdatei Laden Sie die CloudWatch Agentenkonfigurationsdatei in den Systems Manager Parameter Store hoch Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. Erstellen oder bearbeiten Sie die CloudWatch Agenten-Konfigurationsdatei manuell Die CloudWatch Agenten-Konfigurationsdatei ist eine JSON-Datei mit vier Abschnitten: agent metrics , logs , und traces . Der Abschnitt agent enthält Felder für die allgemeine Konfiguration des Agenten. metrics In diesem Abschnitt werden die benutzerdefinierten Metriken für die Erfassung und Veröffentlichung angegeben CloudWatch. Wenn Sie den Agenten nur verwenden, um Protokolle zu erfassen, können Sie den Abschnitt metrics in der Datei weglassen. logs In diesem Abschnitt wird angegeben, welche Protokolldateien in CloudWatch Logs veröffentlicht werden. Hierbei kann es sich u. a. um Ereignisse aus dem Windows-Ereignisprotokoll handeln, wenn auf dem Server Windows Server ausgeführt wird. traces In diesem Abschnitt werden die Quellen für Traces angegeben, die gesammelt und an sie gesendet werden AWS X-Ray. In diesem Abschnitt werden die Struktur und die Felder der CloudWatch Agentenkonfigurationsdatei erläutert. Sie können die Schemadefinition für diese Konfigurationsdatei anzeigen. Die Schemadefinition befindet sich auf Linux-Servern unter installation-directory /doc/amazon-cloudwatch-agent-schema.json und auf Servern mit Windows Server unter installation-directory /amazon-cloudwatch-agent-schema.json . Wenn Sie die -Agentenkonfigurationsdatei manuell erstellen oder bearbeiten, können Sie ihr einen beliebigen Namen geben. Zur Vereinfachung der Fehlerbehebung wird empfohlen, ihr auf Linux-Servern den Namen /opt/aws/amazon-cloudwatch-agent/etc/cloudwatch-agent.json und auf Servern, auf denen Windows Server ausgeführt wird, den Namen $Env:ProgramData\Amazon\AmazonCloudWatchAgent\amazon-cloudwatch-agent.json zu geben. Anschließend können Sie die Datei auf andere Server kopieren, auf denen der Agent installiert werden soll. Wenn der Agent gestartet wird, erstellt er eine Kopie jeder Konfigurationsdatei im Verzeichnis /opt/aws/amazon-cloudwatch/etc/amazon-cloudwatch-agent.d , wobei dem Dateinamen entweder file_ (für lokale Dateiquellen) oder ssm_ (für Systems Manager Manager-Parameterspeicherquellen) vorangestellt wird, um den Ursprung der Konfiguration anzugeben. Anmerkung Für die vom CloudWatch Agenten gesammelten Metriken, Protokolle und Traces fallen Gebühren an. Weitere Informationen zur Preisgestaltung finden Sie unter CloudWatchAmazon-Preise . Der Abschnitt agent kann die folgenden Felder enthalten: Der Assistent erstellt keinen Abschnitt agent . Stattdessen lässt der Assistent diesen weg und verwendet die Standardwerte für alle Felder in diesem Abschnitt. metrics_collection_interval – Optional. Gibt an, wie oft alle in dieser Konfigurationsdatei angegebenen Metriken erfasst werden. Sie können den Wert für bestimmte Arten von Metriken überschreiben. Der Wert wird in Sekunden angegeben. Beispiel: Angeben, dass 10 Metriken alle 10 Sekunden und 300 Metriken alle 5 Minuten gesammelt werden sollen. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Hochauflösende Metriken . Der Standardwert lautet 60. region — Gibt die Region an, die für den CloudWatch Endpunkt verwendet werden soll, wenn eine EC2 Amazon-Instance überwacht wird. Die gesammelten Metriken werden an diese Region gesendet, wie z. B. us-west-1 . Wenn Sie dieses Feld weglassen, sendet der Agent Metriken an die Region, in der sich die EC2 Amazon-Instance befindet. Wenn Sie einen On-Premises-Server überwachen, wird dieses Feld nicht verwendet, und der Agent liest die Region aus dem AmazonCloudWatchAgent -Profil der AWS -Konfigurationsdatei. credentials — Gibt eine IAM-Rolle an, die beim Senden von Metriken, Protokollen und Traces an ein anderes AWS Konto verwendet werden soll. Sofern angegeben, enthält dieses Feld einen Parameter, role_arn . role_arn — Gibt den Amazon-Ressourcennamen (ARN) einer IAM-Rolle an, der für die Authentifizierung verwendet werden soll, wenn Metriken, Logs und Traces an ein anderes AWS Konto gesendet werden. Weitere Informationen finden Sie unter Metriken, Protokolle und Ablaufverfolgungen an ein anderes Konto senden . debug – Optional. Gibt an, dass der CloudWatch Agent mit Debug-Protokollmeldungen ausgeführt wird. Der Standardwert ist false . aws_sdk_log_level – Optional. Wird nur in den Versionen 1.247350.0 und höher des Agenten unterstützt. CloudWatch Sie können dieses Feld angeben, damit der Agent die Protokollierung für AWS SDK-Endpunkte durchführt. Der Wert für dieses Feld kann eine oder mehrere der folgenden Optionen enthalten. Trennen Sie mehrere Optionen mit dem | -Zeichen. LogDebug LogDebugWithSigning LogDebugWithHTTPBody LogDebugRequestRetries LogDebugWithEventStreamBody Weitere Informationen zu diesen Optionen finden Sie unter LogLevelType . logfile — Gibt den Ort an, an dem der CloudWatch Agent Protokollnachrichten schreibt. Wenn Sie eine leere Zeichenfolge angeben, wird das Protokoll in stderr abgelegt. Wenn Sie diese Option nicht angeben, lauten die Standardspeicherorte folgendermaßen: Linux: /opt/aws/amazon-cloudwatch-agent/logs/amazon-cloudwatch-agent.log Windows Server: c:\\ProgramData\\Amazon\\CloudWatchAgent\\Logs\\amazon-cloudwatch-agent.log Der CloudWatch Agent rotiert die von ihm erstellte Protokolldatei automatisch. Eine Protokolldatei wird rotiert, wenn sie eine Größe von 100 MB erreicht. Der Agent bewahrt die rotierten Protokolldateien bis zu sieben Tage lang auf, und er behält bis zu fünf Backup-Protokolldateien, die ausgelagert werden. Die Dateinamen der Sicherungen von Protokolldateien werden um einen Zeitstempel ergänzt. Der Zeitstempel gibt das Datum und die Uhrzeit der Rotation an, z. B. amazon-cloudwatch-agent-2018-06-08T21-01-50.247.log.gz . omit_hostname – Optional. Standardmäßig wird der Hostname als Dimension von Metriken veröffentlicht, die vom Agenten erfasst werden, es sei denn, Sie verwenden das append_dimensions -Feld im metrics -Abschnitt. Setzen Sie omit_hostname auf true , um zu verhindern, dass der Hostname als Dimension veröffentlicht wird, auch wenn Sie append_dimensions nicht verwenden. Der Standardwert ist false . run_as_user – Optional. Gibt einen Benutzer an, der zum Ausführen des CloudWatch -Agenten verwendet werden soll. Wenn Sie diesen Parameter nicht angeben, wird der Root-Benutzer verwendet. Diese Option ist nur auf Linux-Servern gültig. Wenn Sie diese Option angeben, muss der Benutzer vorhanden sein, bevor Sie den CloudWatch Agenten starten. Weitere Informationen finden Sie unter Den CloudWatch Agenten als anderer Benutzer ausführen . user_agent – Optional. Gibt die user-agent Zeichenfolge an, die vom CloudWatch Agenten verwendet wird, wenn er API-Aufrufe an das CloudWatch Backend tätigt. Der Standardwert ist eine Zeichenfolge, die aus der Agentenversion, der Version der Go-Programmiersprache, die zum Kompilieren des Agenten verwendet wurde, dem Laufzeitbetriebssystem und der Architektur, der Buildzeit und den aktivierten Plugins besteht. usage_data – Optional. Standardmäßig sendet der CloudWatch Agent Integritäts- und Leistungsdaten über sich selbst an, CloudWatch wann immer er Metriken oder Protokolle veröffentlicht. CloudWatch Für diese Daten entstehen Ihnen keine Kosten. Sie können verhindern, dass der Agent diese Daten sendet, indem Sie false für usage_data angeben. Wenn Sie diesen Parameter weglassen, wird der Standard von true verwendet, und der Agent sendet die Zustands- und Leistungsdaten. Wenn Sie diesen Wert auf false setzen, müssen Sie den Agenten beenden und neu starten, damit die Änderung wirksam wird. service.name – Optional. Gibt den Servicenamen an, der verwendet werden soll, um die Entität für die Suche nach zugehöriger Telemetrie mit Werten zu befüllen. deployment.environment – Optional. Gibt den Umgebungsnamen an, der verwendet werden soll, um die Entität für die Suche nach zugehöriger Telemetrie mit Werten zu befüllen. use_dualstack_endpoint – Optional. Wenn dies der Fall ist true , verwendet der CloudWatch Agent Dual-Stack-Endpunkte für alle API-Aufrufe. Es folgt ein Beispiel für den Abschnitt agent . "agent": { "metrics_collection_interval": 60, "region": "us-west-1", "logfile": "/opt/aws/amazon-cloudwatch-agent/logs/amazon-cloudwatch-agent.log", "debug": false, "run_as_user": "cwagent" } Gemeinsame Felder für Linux und Windows Auf Servern mit Linux oder Windows Server enthält der Abschnitt metrics die folgenden Felder: namespace – Optional. Der Namespace für die vom Agent zu erfassenden Metriken. Der Standardwert ist CWAgent . Die maximale Länge beträgt 255 Zeichen. Im Folgenden wird ein Beispiel gezeigt: { "metrics": { "namespace": "Development/Product1Metrics", ...... }, } append_dimensions – Optional. Fügt allen vom Agenten gesammelten Metriken EC2 Amazon-Kennzahlen hinzu. Dies bewirkt auch, dass der Agent den Hostnamen nicht als Dimension veröffentlicht. Die einzigen unterstützten Schlüssel-Wert-Paare für append_dimensions werden in der folgenden Liste angezeigt. Alle anderen Schlüssel-Wert-Paare werden ignoriert. Der Agent unterstützt diese Schlüssel-Wert-Paare genau so, wie sie in der folgenden Liste aufgeführt sind. Sie können die Schlüsselwerte nicht ändern, um unterschiedliche Dimensionsnamen für sie zu veröffentlichen. "ImageId":"$ { aws:ImageId}" legt die AMI-ID der Instance als Wert der ImageId -Dimension fest. "InstanceId":"$ { aws:InstanceId}" legt die Instance-ID der Instance als Wert der InstanceId -Dimension fest. "InstanceType":"$ { aws:InstanceType}" legt den Instance-Typ der Instance als Wert der InstanceType -Dimension fest. "AutoScalingGroupName":"$ { aws:AutoScalingGroupName}" legt den Namen der Auto Scaling-Gruppe der Instance als Wert der AutoScalingGroupName -Dimension fest. Wenn Sie Dimensionen an Metriken mit beliebigen Schlüssel-Wert-Paaren anfügen möchten, verwenden Sie den Parameter append_dimensions im Feld für diesen bestimmten Metriktyp. Wenn Sie einen Wert angeben, der von EC2 Amazon-Metadaten abhängt, und Sie Proxys verwenden, müssen Sie sicherstellen, dass der Server auf den Endpunkt für Amazon zugreifen kann. EC2 Weitere Informationen zu diesen Endpunkten finden Sie unter Amazon Elastic Compute Cloud (Amazon EC2) in der Allgemeine Amazon Web Services-Referenz . aggregation_dimensions – Optional. Gibt die Dimensionen an, in denen erfasste Metriken aggregiert werden sollen. Beispiel: Wenn Sie Metriken in der AutoScalingGroupName -Dimension zusammenführen, werden die Metriken aus allen Instances in der jeweiligen Auto-Scaling-Gruppe aggregiert und können als Ganzes angezeigt werden. Sie können Metriken in einer einzelnen oder in mehreren Dimensionen zusammenfassen. Beispiel: Wenn Sie [["InstanceId"], ["InstanceType"], ["InstanceId","InstanceType"]] festlegen, werden Metriken für die Instance-ID einzeln, den Instance-Typ einzeln und für die Kombination der beiden Dimensionen aggregiert. Sie können auch [] angeben, um alle Metriken in einer Sammlung ungeachtet jeglicher Dimensionen zusammenzufassen. endpoint_override – Gibt einen FIPS-Endpunkt oder einen privaten Link an, der als Endpunkt verwendet wird, an den der Agent Metriken sendet. Wenn Sie dies angeben und einen privaten Link einrichten, können Sie die Metriken an eine Amazon-VPC-Endpunkt senden. Weitere Informationen finden Sie unter Was ist Amazon VPC? Der Wert von endpoint_override muss eine Zeichenkette sein, die eine URL ist. Beispielsweise legt der folgende Teil des Metrikabschnitts der Konfigurationsdatei fest, dass der Agent beim Senden von Metriken einen VPC-Endpunkt verwendet. { "metrics": { "endpoint_override": "vpce-XXXXXXXXXXXXXXXXXXXXXXXXX.monitoring.us-east-1.vpce.amazonaws.com", ...... }, } metrics_collected – Erforderlich. Gibt an, welche Metriken erfasst werden sollen, einschließlich benutzerdefinierter Metriken, die mit StatsD oder collectd erfasst werden. Dieser Abschnitt enthält mehrere Unterabschnitte. Der Inhalt des metrics_collected -Abschnitts hängt davon ab, ob diese Konfigurationsdatei für einen Server mit Linux oder Windows Server vorgesehen ist. metrics_destinations – Optional. Gibt ein oder mehrere Ziele für alle in metrics_collected definierten Metriken an. Wenn dies hier angegeben wird, überschreibt es das Standardziel von cloudwatch . cloudwatch — Amazon CloudWatch. amp : Amazon Managed Service für Prometheus workspace_id : Die ID, die dem Workspace in Amazon Managed Service für Prometheus entspricht. { "metrics": { "metrics_destinations": { "cloudwatch": { }, "amp": { "workspace_id": "ws-abcd1234-ef56-7890-ab12-example" } } } } force_flush_interval – Gibt die maximale Zeitspanne in Sekunden an, in der Metriken im Speicherpuffer verbleiben, bevor sie an den Server gesendet werden. Unabhängig von dieser Einstellung werden die Metriken sofort an den Server gesendet, sobald die Größe der Metriken im Puffer 1 MB oder 1 000 verschiedene Metriken erreicht. Der Standardwert lautet 60. credentials – Gibt eine IAM-Rolle an, die beim Senden von Metriken an ein anderes Konto verwendet werden soll. Sofern angegeben, enthält dieses Feld einen Parameter, role_arn . role_arn – Gibt den ARN einer IAM-Rolle für die Authentifizierung beim Senden von Metriken an ein anderes Konto an. Weitere Informationen finden Sie unter Metriken, Protokolle und Ablaufverfolgungen an ein anderes Konto senden . Wenn dieser Wert hier angegeben wird, überschreibt er den role_arn im Abschnitt agent der Konfigurationsdatei, sofern vorhanden. service.name – Optional. Gibt den Servicenamen an, der verwendet werden soll, um die Entität für die Suche nach zugehöriger Telemetrie mit Werten zu befüllen. deployment.environment – Optional. Gibt den Umgebungsnamen an, der verwendet werden soll, um die Entität für die Suche nach zugehöriger Telemetrie mit Werten zu befüllen. Linux-Abschnitt Auf Servern mit Linux kann der Abschnitt metrics_collected der Konfigurationsdatei auch die folgenden Felder enthalten. Viele dieser Felder können measurement -Bereiche enthalten, in denen die Metriken aufgelistet werden, die Sie für diese Ressource erfassen möchten. In diesen measurement -Abschnitten können Sie entweder den vollständigen Metriknamen, wie z. B. swap_used , oder nur den Teil des Metriknamens, der an die Typ der Ressource angehängt wird. Beispiel: Die Angabe von reads im Abschnitt measurement des Abschnitts diskio bewirkt, dass die Metrik diskio_reads erfasst wird. collectd – Optional. Gibt an, dass Sie benutzerdefinierte Metriken mithilfe des Protokolls collectd abrufen möchten. Sie verwenden collectd Software, um die Metriken an den CloudWatch Agenten zu senden. Weitere Informationen zu den Konfigurationsoptionen, die für collectd verfügbar sind, finden Sie unter Abrufen benutzerdefinierter Metriken mit collectd . cpu – Optional. Gibt an, dass CPU-Metriken erfasst werden sollen. Dieser Abschnitt gilt nur für Linux-Instances. Sie müssen mindestens eines der resources - und totalcpu -Felder für alle zu erfassenden CPU-Metriken einschließen. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Metriken an gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. resources – Optional. Geben Sie dieses Feld mit dem Wert * an, um zu bewirken, dass pro CPU-Metriken erfasst werden. Der einzige zulässige Wert ist * . totalcpu – Optional. Gibt an, ob CPU-Metriken gesammelt über alle CPU-Kerne hinweg gemeldet werden sollen. Der Standardwert ist true. measurement – Gibt das Array der zu erfassenden CPU-Metriken an. Mögliche Werte sind time_active , time_guest , time_guest_nice , time_idle , time_iowait , time_irq , time_nice , time_softirq , time_steal , time_system , time_user , usage_active , usage_guest , usage_guest_nice , usage_idle , usage_iowait , usage_irq , usage_nice , usage_softirq , usage_steal , usage_system und usage_user . Dieses Feld muss angegeben werden, wenn Sie cpu einbeziehen. Standardmäßig ist die Einheit für cpu_usage_* -Metriken Percent ; cpu_time_* -Metriken sind einheitenlos. Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . metrics_collection_interval – Optional. Gibt an, wie oft die CPU-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Beispiel: Angeben, dass 10 Metriken alle 10 Sekunden und 300 Metriken alle 5 Minuten gesammelt werden sollen. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Zusätzliche Dimensionen, die nur für die CPU-Metriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im globalen Feld append_dimensions angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agenten erfasst werden. disk – Optional. Gibt an, dass Datenträger-Metriken erfasst werden sollen. Erfasst Metriken nur für bereitgestellte Volumes. Dieser Abschnitt gilt nur für Linux-Instances. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Messwerte gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. resources – Optional. Gibt ein Array von Datenträger-Mountingpunkten an. Dieses Feld beschränkt CloudWatch sich darauf, nur Metriken von den aufgelisteten Einhängepunkten zu sammeln. Sie können * als Wert festlegen, um Metriken von allen Mountingpunkten zu erfassen. Standardmäßig werden Metriken von allen Mountingpunkten erfasst. measurement – Gibt das Array der zu erfassenden Disk-Metriken an. Mögliche Werte sind free , total , used , used_percent , inodes_free , inodes_used und inodes_total . Dieses Feld muss angegeben werden, wenn Sie disk einbeziehen. Anmerkung Die disk -Metriken haben eine Dimension für Partition , was bedeutet, dass die Anzahl der generierten benutzerdefinierten Metriken von der Anzahl der Partitionen abhängt, die Ihrer Instance zugeordnet sind. Die Anzahl der Festplattenpartitionen hängt davon ab, welches AMI Sie verwenden, und wie viele Amazon-EBS-Volumes Sie an den Server anfügen. Informationen zum Anzeigen der Standardeinheiten für jede disk -Metrik finden Sie unter Vom CloudWatch Agenten auf Linux- und macOS-Instances gesammelte Metriken . Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None von None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . ignore_file_system_types – Gibt Dateisystemtypen an, die beim Erfassen von Datenträgermetriken ausgeschlossen werden sollen. Gültige Werte sind sysfs , devtmpfs usw. drop_device – Wenn Sie dies auf true setzen, wird Device nicht als Dimension für Datenträgermetriken aufgenommen. Verhindern, dass Device als Dimension verwendet wird, kann auf Instances nützlich sein, die das Nitro-System verwenden, da sich die Gerätenamen auf diesen Instances bei jedem Datenträger-Mount ändern, wenn die Instance neu gestartet wird. Dies kann dazu führen, dass inkonsistente Daten in Ihren -Metriken und dazu führen, dass Alarme, die auf diesen Metriken basieren, in den Status INSUFFICIENT DATA übergehen. Der Standardwert ist false . metrics_collection_interval – Optional. Gibt an, wie oft die Datenträger-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Geben Sie Schlüssel-Wert-Paare an, die als zusätzliche Dimensionen nur für die Festplattenmetriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im append_dimensions -Feld angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agent erfasst werden. Ein Schlüssel-Wert-Paar, das Sie verwenden können, ist das Folgende. Sie können auch andere benutzerdefinierte Schlüssel-Wert-Paare festlegen. "VolumeId":"$ { aws:VolumeId}" fügt den Festplattenmetriken des Blockgeräts eine VolumeId -Dimension hinzu. Für Amazon-EBS-Volumes ist dies die Amazon-EBS-Volume-ID. EC2 Beispielsweise speichern, dies wird die Seriennummer des Geräts sein. Um dies zu verwenden, muss der Parameter drop_device auf false gesetzt sein. diskio – Optional. Gibt an, dass i/o Festplattenmetriken erfasst werden sollen. Dieser Abschnitt gilt nur für Linux-Instances. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Metriken an gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. resources – Optional. Wenn Sie eine Reihe von Geräten angeben, werden nur Messwerte von diesen Geräten CloudWatch erfasst. Andernfalls werden Metriken für alle Geräte erfasst. Sie können auch * als Wert festlegen, um Metriken von allen Geräten zu erfassen. measurement — Gibt das Array von Diskio- und AWS NVMe Treibermetriken an, die für Amazon EBS-Volumes und Instance-Speicher-Volumes, die an EC2 Amazon-Instances angehängt sind, erfasst werden sollen. Mögliche diskio-Werte sind reads , writes , read_bytes , write_bytes , read_time , write_time , io_time und iops_in_progress . Eine Liste der NVMe Treibermetriken für Amazon EBS-Volumes und Amazon EC2 Instance Store-Volumes finden Sie unter Erfassen Sie Amazon NVMe EBS-Treibermetriken und Erfassung von NVMe Volumen-Treibermetriken für EC2 Amazon-Instance-Speicher . Dieses Feld muss angegeben werden, wenn Sie diskio einbeziehen. Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None von None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt. MetricDatum Informationen zu Standardeinheiten und eine Beschreibung der Metriken finden Sie unter Erfassen Sie Amazon NVMe EBS-Treibermetriken . metrics_collection_interval – Optional. Gibt an, wie oft die diskio-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Zusätzliche Dimensionen, die nur für die diskio-Metriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im append_dimensions -Feld angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agent erfasst werden. swap – Optional. Gibt an, dass Swap-Arbeitsspeicher-Metriken erfasst werden sollen. Dieser Abschnitt gilt nur für Linux-Instances. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Messwerte gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. measurement – Gibt das Array der zu erfassenden Swap-Metriken an. Mögliche Werte sind free , used und used_percent . Dieses Feld muss angegeben werden, wenn Sie swap einbeziehen. Informationen zum Anzeigen der Standardeinheiten für jede swap -Metrik finden Sie unter Vom CloudWatch Agenten auf Linux- und macOS-Instances gesammelte Metriken . Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None von None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . metrics_collection_interval – Optional. Gibt an, wie oft die Swap-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Zusätzliche Dimensionen, die nur für die Swap-Metriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im globalen append_dimensions -Feld angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agent erfasst werden. Der Wert wird als hochauflösende Metrik erfasst. mem – Optional. Gibt an, dass Arbeitsspeicher-Metriken erfasst werden sollen. Dieser Abschnitt gilt nur für Linux-Instances. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Messwerte gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. measurement – Gibt das Array der zu erfassenden Arbeitsspeicher-Metriken an. Mögliche Werte sind active , available , available_percent , buffered , cached , free , inactive , shared , total , used und used_percent . Dieses Feld muss angegeben werden, wenn Sie mem einbeziehen. Informationen zum Anzeigen der Standardeinheiten für jede mem -Metrik finden Sie unter Vom CloudWatch Agenten auf Linux- und macOS-Instances gesammelte Metriken . Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . metrics_collection_interval – Optional. Gibt an, wie oft die mem-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Zusätzliche Dimensionen, die nur für die mem-Metriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im Feld append_dimensions angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agenten erfasst werden. net – Optional. Gibt an, dass Netzwerk-Metriken erfasst werden sollen. Dieser Abschnitt gilt nur für Linux-Instances. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Messwerte gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. resources – Optional. Wenn Sie ein Array von Netzwerkschnittstellen angeben, werden nur Metriken von diesen Schnittstellen CloudWatch erfasst. Andernfalls werden Metriken für alle Geräte erfasst. Sie können auch * als Wert festlegen, um Metriken von allen Schnittstellen zu erfassen. measurement – Gibt das Array der zu erfassenden Netzwerk-Metriken an. Mögliche Werte sind bytes_sent , bytes_recv , drop_in , drop_out , err_in , err_out , packets_sent und packets_recv . Dieses Feld muss angegeben werden, wenn Sie net einbeziehen. Informationen zum Anzeigen der Standardeinheiten für jede net -Metrik finden Sie unter Vom CloudWatch Agenten auf Linux- und macOS-Instances gesammelte Metriken . Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . metrics_collection_interval – Optional. Gibt an, wie oft die net-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Beispiel: Angeben, dass 10 Metriken alle 10 Sekunden und 300 Metriken alle 5 Minuten gesammelt werden sollen. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Zusätzliche Dimensionen, die nur für die net-Metriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im Feld append_dimensions angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agent erfasst werden. netstat – Optional. Gibt an, dass TCP-Verbindungsstatus und UDP-Verbindungsmetriken gesammelt werden sollen. Dieser Abschnitt gilt nur für Linux-Instances. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Messwerte gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. measurement – Gibt das Array der zu erfassenden Netstat-Metriken an. Mögliche Werte sind tcp_close , tcp_close_wait , tcp_closing , tcp_established , tcp_fin_wait1 , tcp_fin_wait2 , tcp_last_ack , tcp_listen , tcp_none , tcp_syn_sent , tcp_syn_recv , tcp_time_wait und udp_socket . Dieses Feld muss angegeben werden, wenn Sie netstat einbeziehen. Informationen zum Anzeigen der Standardeinheiten für jede netstat -Metrik finden Sie unter Vom CloudWatch Agenten auf Linux- und macOS-Instances gesammelte Metriken . Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . metrics_collection_interval – Optional. Gibt an, wie oft die netstat-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Zusätzliche Dimensionen, die nur für die netstat-Metriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im Feld append_dimensions angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agent erfasst werden. processes – Optional. Gibt an, dass Prozess-Metriken erfasst werden sollen. Dieser Abschnitt gilt nur für Linux-Instances. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Messwerte gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. measurement – Gibt das Array der zu erfassenden Prozess-Metriken an. Mögliche Werte sind blocked , dead , idle , paging , running , sleeping , stopped , total , total_threads , wait und zombies . Dieses Feld muss angegeben werden, wenn Sie processes einbeziehen. Für alle processes -Metriken lautet die Standardeinheit None . Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . metrics_collection_interval – Optional. Gibt an, wie oft die Prozess-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Beispiel: Angeben, dass 10 Metriken alle 10 Sekunden und 300 Metriken alle 5 Minuten gesammelt werden sollen. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Zusätzliche Dimensionen, die nur für die Prozess-Metriken verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im Feld append_dimensions angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agent erfasst werden. nvidia_gpu – Optional. Gibt an, dass NVIDIA GPU-Metriken erfasst werden sollen. Dieser Abschnitt gilt nur für Linux-Instances auf Hosts, die mit einem NVIDIA GPU-Accelerator konfiguriert sind und auf denen das NVIDIA System Management Interface (nvidia-smi) installiert ist. Den erfassten NVIDIA GPU-Metriken wird die Zeichenfolge nvidia_smi_ vorangestellt, um sie von den Metriken zu unterscheiden, die für andere Accelerator-Typen erfasst wurden. Dieser Abschnitt kann die folgenden Felder enthalten: drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Messwerte gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. measurement – Gibt das Array der zu erfassenden NVIDIA GPU-Metriken an. Eine Liste der möglichen Werte, die Sie hier verwenden können, finden Sie in der Spalte Metric (Metrik) in der Tabelle unter Erfassen von NVIDIA GPU-Metriken . Im Eintrag für jede einzelne Metrik können Sie optional einen oder beide der folgenden Werte angeben: rename – Legt einen anderen Namen für diese Metrik fest. unit – Gibt die zu verwendende Einheit für diese Metrik an und überschreibt die Standardeinheit für die Metrik ( None ). Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . metrics_collection_interval – Optional. Gibt an, wie oft die NVIDIA GPU-Metriken erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. jmx – Optional. Gibt an, dass Sie Java Management Extensions (JMX)-Metriken von der Instance abrufen möchten. Weitere Informationen zu den Parametern, die in diesem Abschnitt verwendet werden können, und den Metriken, die erfasst werden können, finden Sie unter Erfassung von Java Management Extensions (JMX)-Metriken . otlp – Optional. Gibt an, dass Sie Metriken aus dem OpenTelemetry SDK sammeln möchten. Weitere Informationen über die Felder, die Sie in diesem Abschnitt verwenden können, finden Sie unter Erfassen Sie Metriken und Traces mit OpenTelemetry . procstat – Optional. Gibt an, dass Sie Metriken aus einzelnen Prozessen abrufen möchten. Weitere Informationen zu den Konfigurationsoptionen, die für procstat verfügbar sind, finden Sie unter Erfassen von Prozessmetriken mit dem procstat-Plugin . statsd – Optional. Gibt an, dass Sie benutzerdefinierte Metriken mithilfe des Protokolls StatsD abrufen möchten. Der CloudWatch Agent fungiert als Daemon für das Protokoll. Sie verwenden einen beliebigen StatsD Standard-Client, um die Metriken an den CloudWatch Agenten zu senden. Weitere Informationen zu den Konfigurationsoptionen, die für StatsD verfügbar sind, finden Sie unter Abrufen benutzerdefinierter Metriken mit StatsD . ethtool – Optional. Gibt an, dass Sie Netzwerkmetriken mithilfe des ethtool -Plug-Ins abrufen möchten. Dieses Plugin kann sowohl die vom Standard-Ethtool-Hilfsprogramm gesammelten Metriken als auch die Netzwerkleistungsmetriken von EC2 Amazon-Instances importieren. Weitere Informationen zu den Konfigurationsoptionen, die für ethtool verfügbar sind, finden Sie unter Netzwerkleistungsmetriken sammeln . Es folgt das Beispiel eines metrics -Abschnitts für einen Linux-Server. In diesem Beispiel werden drei CPU-Metriken, drei netstat-Metriken, drei Prozessmetriken und eine Datenträgermetrik erfasst und der Agent ist zum Empfang zusätzlicher Metriken von einem collectd -Client eingerichtet. "metrics": { "aggregation_dimensions" : [["AutoScalingGroupName"], ["InstanceId", "InstanceType"],[]], "metrics_collected": { "collectd": { }, "cpu": { "resources": [ "*" ], "measurement": [ { "name": "cpu_usage_idle", "rename": "CPU_USAGE_IDLE", "unit": "Percent"}, { "name": "cpu_usage_nice", "unit": "Percent"}, "cpu_usage_guest" ], "totalcpu": false, "drop_original_metrics": [ "cpu_usage_guest" ], "metrics_collection_interval": 10, "append_dimensions": { "test": "test1", "date": "2017-10-01" } }, "netstat": { "measurement": [ "tcp_established", "tcp_syn_sent", "tcp_close" ], "metrics_collection_interval": 60 }, "disk": { "measurement": [ "used_percent" ], "resources": [ "*" ], "drop_device": true }, "processes": { "measurement": [ "running", "sleeping", "dead" ] } }, "append_dimensions": { "ImageId": "$ { aws:ImageId}", "InstanceId": "$ { aws:InstanceId}", "InstanceType": "$ { aws:InstanceType}", "AutoScalingGroupName": "$ { aws:AutoScalingGroupName}" } } Windows Server Im Abschnitt metrics_collected für Windows Server können Sie für jedes Windows-Leistungsobjekt Unterabschnitte anlegen, beispielsweise Memory , Processor und LogicalDisk . Informationen darüber, welche Objekte und Zähler verfügbar sind, finden Sie unter Leistungszähler in der Microsoft Windows-Dokumentation. Innerhalb des Unterabschnitts für jedes Objekt geben Sie ein measurement -Array der zu erfassenden Zähler an. Das measurement -Array ist für jedes Objekt erforderlich, das Sie in der Konfigurationsdatei angeben. Sie können auch ein resources -Feld angeben, um die Instances zu benennen, aus denen Sie Metriken erfassen. Sie können auch * für resources angeben, um separate Metriken für alle Instances zu erfassen. Wenn Sie resources bei Zählern mit Instances weglassen, werden die Daten für alle Instances in einem Satz zusammengefasst. Wenn Sie resources bei Zählern, die keine Instances haben, weglassen, werden die Zähler nicht vom Agenten erfasst. CloudWatch Um festzustellen, ob Zähler über Instances verfügen, können Sie einen der folgenden Befehle verwenden. Powershell: Get-Counter -ListSet * Befehlszeile (nicht Powershell): TypePerf.exe –q Innerhalb des jeweiligen Objektabschnitts können Sie auch die folgenden optionalen Felder angeben: metrics_collection_interval – Optional. Gibt an, wie oft die Metriken für dieses Objekt erfasst werden und das globale metrics_collection_interval im Abschnitt agent der Konfigurationsdatei überschrieben wird. Der Wert wird in Sekunden angegeben. Beispiel: Angeben, dass 10 Metriken alle 10 Sekunden und 300 Metriken alle 5 Minuten gesammelt werden sollen. Wenn Sie diesen Wert auf weniger als 60 Sekunden festlegen, wird die jeweilige Metrik als hochauflösende Metrik erfasst. Weitere Informationen finden Sie unter Hochauflösende Metriken . append_dimensions – Optional. Gibt zusätzliche Dimensionen an, die nur für die Metriken für dieses Objekt verwendet werden sollen. Falls Sie dieses Feld angeben, wird es zusätzlich zu den im globalen Feld append_dimensions angegebenen Dimensionen verwendet, das für alle Typen von Metriken verwendet wird, die vom Agent erfasst werden. drop_original_metrics – Optional. Wenn Sie das aggregation_dimensions -Feld im metrics -Abschnitt verwenden, um Metriken zu aggregierten Ergebnissen zusammenzufassen, dann sendet der Agent standardmäßig sowohl die aggregierten Metriken als auch die ursprünglichen Metriken, die für jeden Wert der Dimension getrennt sind. Wenn Sie nicht möchten, dass die ursprünglichen Metriken an gesendet werden CloudWatch, können Sie diesen Parameter mit einer Liste von Metriken angeben. Für die zusammen mit diesem Parameter angegebenen Metriken werden keine Kennzahlen nach Dimension gemeldet CloudWatch. Stattdessen werden nur die aggregierten Metriken gemeldet. Dadurch verringert sich die Anzahl der Metriken, die der Agent erfasst, was Ihre Kosten senkt. Innerhalb des jeweiligen Zählerabschnitts können Sie auch die folgenden optionalen Felder angeben: rename — Gibt einen anderen Namen an, der CloudWatch für diese Metrik verwendet werden soll. unit – Gibt die für diese Metrik zu verwendende Einheit an. Bei der von Ihnen angegebenen Einheit muss es sich um eine gültige CloudWatch metrische Einheit handeln, wie in der Unit Beschreibung unter aufgeführt MetricDatum . Es gibt zwei weitere optionale Abschnitte, die Sie in metrics_collected aufnehmen können: statsd – Ermöglicht den Abruf benutzerdefinierter Metriken mittels StatsD -Protokoll. Der CloudWatch Agent fungiert als Daemon für das Protokoll. Sie können die Metriken mit einem beliebigen StatsD -Standardclient an den CloudWatch-Agenten senden. Weitere Informationen finden Sie unter Abrufen benutzerdefinierter Metriken mit StatsD . procstat – Ermöglicht den Abruf von Metriken aus einzelnen Prozessen. Weitere Informationen finden Sie unter Erfassen von Prozessmetriken mit dem procstat-Plugin . jmx – Optional. Gibt an, dass Sie Java Management Extensions (JMX)-Metriken von der Instance abrufen möchten. Weitere Informationen zu den Feldern, die in diesem Abschnitt verwendet werden können, und den Metriken, die erfasst werden können, finden Sie unter Erfassung von Java Management Extensions (JMX)-Metriken . otlp – Optional. Gibt an, dass Sie Metriken aus dem OpenTelemetry SDK sammeln möchten. Weitere Informationen über die Felder, die Sie in diesem Abschnitt verwenden können, finden Sie unter Erfassen Sie Metriken und Traces mit OpenTelemetry . Es folgt das Beispiel eines metrics -Abschnitts zur Verwendung unter Windows Server. In diesem Beispiel werden viele Windows-Metriken erfasst, und der Computer ist zusätzlich für das Empfangen weiterer Metriken von einem StatsD -Client eingerichtet | 2026-01-13T09:29:26 |
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https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/CloudWatch_Dashboards.html | Verwenden von CloudWatch Amazon-Dashboards - Amazon CloudWatch Verwenden von CloudWatch Amazon-Dashboards - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Programmgesteuertes Erstellen eines konto- und regionenübergreifenden Dashboards Erstellen eines Diagramms mit Metriken aus verschiedenen Konten und Regionen Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. Verwenden von CloudWatch Amazon-Dashboards Amazon CloudWatch bietet automatische vorgefertigte Dashboards und ermöglicht es Ihnen auch, Ihre eigenen Dashboards zu erstellen. Dashboards helfen Ihnen dabei, die Ressourcen in einer Ansicht zu überwachen, auch solche Ressourcen, die über mehrere Regionen verteilt sind. Sie können CloudWatch Dashboards verwenden, um benutzerdefinierte Ansichten der Telemetriedaten für Ihre Ressourcen zu erstellen. AWS Mit anpassbaren Dashboards können Sie Folgendes erstellen: Eine einzige Ansicht für ausgewählte Metriken und Alarme, um Ihnen die Bewertung des Zustands Ihrer Ressourcen und Anwendungen in einer oder mehreren Regionen zu erleichtern. Sie können die für jede Metrik in jedem Diagramm verwendete Farbe auswählen, sodass Sie dieselbe Metrik über mehrere Diagramme hinweg mühelos verfolgen können. Ein operatives Playbook, das Teammitgliedern bei operativen Ereignissen Orientierungshilfen dazu bietet, wie auf bestimmte Vorfälle zu reagieren ist. Eine gemeinsame Ansicht wichtiger Maßnahmen für Ressourcen und Anwendungen, die von Teammitgliedern für einen schnelleren Kommunikationsfluss bei operativen Ereignissen gemeinsam genutzt wird. Wenn Sie mehrere AWS Konten haben, können Sie die CloudWatch kontenübergreifende Observability einrichten und anschließend umfangreiche kontenübergreifende Dashboards in Ihren Monitoring-Konten erstellen. Sie können Ihre Metriken, Protokolle und Ablaufverfolgungen nahtlos und ohne Kontogrenzen suchen, visualisieren und analysieren. Mit der CloudWatch kontoübergreifenden Observability können Sie in einem Dashboard in einem Monitoring-Konto Folgendes tun: Suchen, betrachten und erstellen Sie Diagramme mit Metriken, die sich in Quellkonten befinden. Ein einzelnes Diagramm kann Metriken aus mehreren Konten enthalten. Erstellen Sie Alarme im Überwachungskonto, die Metriken in Quellkonten überwachen. Zeigen Sie die Protokollereignisse von Protokollgruppen an, die sich in Quellkonten befinden, und führen Sie CloudWatch Logs Insights-Abfragen von Protokollgruppen in Quellkonten durch. Eine einzelne CloudWatch Logs Insights-Abfrage in einem Überwachungskonto kann mehrere Protokollgruppen in mehreren Quellkonten gleichzeitig abfragen. Zeigen Sie Knoten von Quellkonten in einer Trace Map in X-Ray an. Anschließend können Sie die Karte nach bestimmten Quellkonten filtern. Wenn Sie bei einem Monitoring-Konto angemeldet sind, erscheint oben rechts auf jeder Seite, die CloudWatch kontoübergreifende Observability-Funktionen unterstützt, ein blaues Monitoring-Konto-Logo . Weitere Informationen zur Einrichtung CloudWatch kontenübergreifender Observability finden Sie unter. CloudWatch kontenübergreifende Beobachtbarkeit Sie können Dashboards von der Konsole aus oder mithilfe der AWS CLI API-Operation oder erstellen. PutDashboard Sie können Dashboards zu einer Favoritenliste hinzufügen, über die Sie nicht nur auf Ihre favorisierten Dashboards, sondern auch auf Ihre kürzlich besuchten Dashboards zugreifen können. Weitere Informationen finden Sie unter Hinzufügen eines Dashboards zu Ihrer Favoritenliste . Um auf CloudWatch Dashboards zugreifen zu können, benötigen Sie eine der folgenden Voraussetzungen: Die Richtlinie AdministratorAccess Die Richtlinie CloudWatchFullAccess Eine benutzerdefinierte Richtlinie mit einem oder mehreren dieser spezifischen Berechtigungen: cloudwatch:GetDashboard und cloudwatch:ListDashboards , um Dashboards anzeigen zu können cloudwatch:PutDashboard , um Dashboards erstellen oder ändern zu können cloudwatch:DeleteDashboards , um Dashboards löschen zu können Themen Erste Schritte mit automatischen Dashboards Erstellen eines benutzerdefinierten Dashboards Erstellen eines konto- und regionenübergreifenden Dashboards mit der Konsole Programmgesteuertes Erstellen eines konto- und regionenübergreifenden Dashboards Erstellen eines Diagramms mit Metriken aus verschiedenen Konten und Regionen Hinzufügen eines Alarms von einem anderen Konto zu einem kontoübergreifenden Dashboard Erstellen von Dashboards mit Variablen Verwendung von Widgets in Dashboards Freigeben von Dashboards Verwenden von Live-Daten Anzeigen eines animierten Dashboards Ihrer Favoritenliste ein Dashboard hinzufügen Änderung der Einstellung für die Zeitraumüberschreibung oder das Aktualisierungsintervall Änderung des Zeitraums oder Zeitzonenformats Programmgesteuertes Erstellen eines konto- und regionenübergreifenden Dashboards Sie können das AWS APIs und verwenden SDKs , um Dashboards programmgesteuert zu erstellen. Weitere Informationen finden Sie unter PutDashboard . Um konto- und regionenübergreifende Dashboards zu aktivieren, haben wir der Dashboard-Body-Struktur neue Parameter hinzugefügt, wie in der folgenden Tabelle und den Beispielen gezeigt. Weitere Informationen zur gesamten Dashboard-Body-Struktur finden Sie unter Dashboard-Body-Struktur und Syntax . Parameter Verwenden Sie Scope Standard accountId Gibt die ID des Kontos an, in dem sich das Widget oder die Metrik befindet. Widget oder Metrik Konto, das derzeit angemeldet ist region Gibt die Region der Metrik an. Widget oder Metrik Aktuell in der Konsole ausgewählte Region Die folgenden Beispiele veranschaulichen die JSON-Quelle für Widgets in einem konto- und regionenübergreifenden Dashboard. In diesem Beispiel wird das accountId -Feld auf die ID des Freigabekontos auf Widgetebene festgelegt. Dies gibt an, dass alle Metriken in diesem Widget von diesem Freigabekonto und dieser Region stammen. { "widgets": [ { ... "properties": { "metrics": [ … ], "accountId": "111122223333", "region": "us-east-1" } } ] } In diesem Beispiel wird das accountId -Feld auf der Ebene jeder Metrik unterschiedlich festgelegt. In diesem Beispiel stammen die verschiedenen Metriken in diesem metrischen mathematischen Ausdruck von verschiedenen Freigabekonten und verschiedenen Regionen. { "widgets": [ { ... "properties": { "metrics": [ [ { "expression": "SUM(METRICS())", "label": "[avg: $ { AVG}] Expression1", "id": "e1", "stat": "Sum" } ], [ "AWS/EC2", "CPUUtilization", { "id": "m2", "accountId": "5555666677778888", "region": "us-east-1", "label": "[avg: $ { AVG}] ApplicationALabel " } ], [ ".", ".", { "id": "m1", "accountId": "9999000011112222", "region": "eu-west-1", "label": "[avg: $ { AVG}] ApplicationBLabel" } ] ], "view": "timeSeries", "region": "us-east-1", ---> home region of the metric. Not present in above example "stacked": false, "stat": "Sum", "period": 300, "title": "Cross account example" } } ] } Dieses Beispiel zeigt ein Alarm-Widget. { "type": "metric", "x": 6, "y": 0, "width": 6, "height": 6, "properties": { "accountID": "111122223333", "title": "over50", "annotations": { "alarms": [ "arn:aws:cloudwatch:us-east-1:379642911888:alarm:over50" ] }, "view": "timeSeries", "stacked": false } } Dieses Beispiel bezieht sich auf ein CloudWatch Logs Insights-Widget. { "type": "log", "x": 0, "y": 6, "width": 24, "height": 6, "properties": { "query": "SOURCE 'route53test' | fields @timestamp, @message\n| sort @timestamp desc\n| limit 20", "accountId": "111122223333", "region": "us-east-1", "stacked": false, "view": "table" } } Eine andere Möglichkeit, Dashboards programmgesteuert zu erstellen, besteht darin, zuerst eines im Dashboard zu erstellen und dann die AWS-Managementkonsole JSON-Quelle dieses Dashboards zu kopieren. Laden Sie dazu das Dashboard und wählen Sie Actions (Aktionen) , View/edit source (Quelle anzeigen/bearbeiten) . Anschließend können Sie dieses Dashboard-JSON kopieren, um es als Vorlage zum Erstellen ähnlicher Dashboards zu verwenden. Erstellen eines Diagramms mit Kennzahlen aus verschiedenen Konten und Regionen in einem Dashboard CloudWatch Melden Sie sich beim Überwachungskonto an. Öffnen Sie die CloudWatch Konsole unter https://console.aws.amazon.com/cloudwatch/ . Wählen Sie im Navigationsbereich Metrics (Metriken) und dann All metrics (Alle Metriken) aus. Wählen Sie das Konto und die Region aus, aus der Sie Metriken hinzufügen möchten. Sie können Ihr Konto und Ihre Region in den Dropdown-Menüs für das Konto und die Region oben rechts auf dem Bildschirm auswählen. Fügen Sie dem Diagramm die gewünschten Metriken hinzu. Weitere Informationen finden Sie unter Grafisches Darstellen von Metriken . Wiederholen Sie die Schritte 4-5, um Metriken aus anderen Konten und Regionen hinzuzufügen. (Optional) Wählen Sie die Registerkarte Graphed metrics (Metriken mit Diagrammen) und fügen Sie eine Metrik-Mathematik-Funktion hinzu, die die ausgewählten Metriken verwendet. Weitere Informationen finden Sie unter Verwendung mathematischer Ausdrücke mit CloudWatch Metriken . Sie können auch ein einzelnes Diagramm so einrichten, dass es mehrere SEARCH -Funktionen enthält. Jede Suche kann sich auf ein anderes Konto oder eine andere Region beziehen. Wenn Sie mit dem Diagramm fertig sind, wählen Sie Actions (Aktionen) , Add to Dashboard (Zum Dashboard hinzufügen) . Wählen Sie Ihr kontoübergreifendes Dashboard aus und wählen Sie Add to dashboard (Zu Dashboard hinzufügen) . JavaScript ist in Ihrem Browser nicht verfügbar oder deaktiviert. Zur Nutzung der AWS-Dokumentation muss JavaScript aktiviert sein. Weitere Informationen finden auf den Hilfe-Seiten Ihres Browsers. Dokumentkonventionen CloudWatch Kosten analysieren, optimieren und reduzieren Erste Schritte mit automatischen Dashboards Hat Ihnen diese Seite geholfen? – Ja Vielen Dank, dass Sie uns mitgeteilt haben, dass wir gute Arbeit geleistet haben! Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, was wir richtig gemacht haben, damit wir noch besser werden? Hat Ihnen diese Seite geholfen? – Nein Vielen Dank, dass Sie uns mitgeteilt haben, dass diese Seite überarbeitet werden muss. Es tut uns Leid, dass wir Ihnen nicht weiterhelfen konnten. Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, wie wir die Dokumentation verbessern können? | 2026-01-13T09:29:26 |
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https://www.linkedin.com/products/opticoreit-network-operations-center-noc/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_full-click | Network Operations Center (NOC) | LinkedIn Skip to main content LinkedIn OpticoreIT 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 Network Operations Center (NOC) Network Monitoring Software by OpticoreIT See who's skilled in this Add as skill Learn more Report this product About We monitor and run your data network daily with agreed deliverables and service metrics. Applying industry best practices, we give you a robust, reliable and deterministic network managed by a responsive, proactive and skilled team of Opticore engineers. There are three components to the Network Managed Service. Our People Pro-active monitoring by the team of highly skilled and qualified network engineers in our Network Operations Centre (NOC). Our Platform Monitoring through our bespoke Opticore Hosted Management Platform (OHMP), maintained and updated by our NOC team. Our Process Opticore’s service delivery team follow the best practice principles of the ITIL library to ensure that we offer the excellent service to our clients. Media Products media viewer No more previous content 🔔 𝗟𝗲𝘁 𝘂𝘀 𝗺𝗮𝗻𝗮𝗴𝗲 𝘆𝗼𝘂𝗿 𝗻𝗲𝘁𝘄𝗼𝗿𝗸 🔔 Don't let your network let you down because it’s the thing that allows you to communicate with your staff, clients, partners, and suppliers. ✔ 𝗪𝗵𝗮𝘁 𝘄𝗲'𝗹𝗹 𝗱𝗼 ✔ We monitor and run your data network daily with agreed deliverables and service metrics. Applying industry best practices, we give you a robust, reliable, and deterministic network. This is managed by responsive, proactive, and highly skilled team of Opticore engineers at your disposal 24/7. Opticore Hosted Management Platform (OHMP) Our bespoke Opticore Hosted Management Platform (OHMP) provides best-practice monitoring of your network. It can be tuned to meet your business priorities. With innovating and pioneering capabilities and functions, the latest version of OHMP is our most advanced yet. Our mission is to securely connect people and move data across global corporate networks. As an ISO 27001-certified organisation, security is embedded in the functionality of the platform and the service we provide. Our Network Operations Center Pyramid Our frontline engineers in the NOC are supported by our extensive pool of specialist engineers throughout the business. We pride ourselves on our people who are carefully selected to ensure that they are both highly experienced specialists in their respective disciplines, and also effective in understanding the business imperatives and platforms of their clients. We're confident there isn't a technical issue we cannot deal with. ITIL Service Lifecycle Our business practices have been developed over the course of the past 30 years with a continued desire to provide exemplary services to our clients. Incorporating practices in line with the ITIL Library ensures that we can systematically align our services with the needs of our clients. We understand the importance of utilising up to date methodologies as advancements in technology are ever evolving, at record speed. Our Process - The Life of an Incident In many ways an Opticore Managed Service is like an insurance policy, but with lots of other bells and whistles. As with other insurance policies, the measure of the supplier is how they deal with an incident when it occurs. This chart summarises the steps we will take should a service affecting incident occur. No more next content Similar products NMS NMS Network Monitoring Software Arbor Sightline Arbor Sightline Network Monitoring Software TEMS™ Suite TEMS™ Suite Network Monitoring Software Progress Flowmon Progress Flowmon Network Monitoring Software ASM ASM Network Monitoring Software ONES (Open Networking Enterprise Suite) ONES (Open Networking Enterprise Suite) Network Monitoring Software Sign in to see more 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 | 2026-01-13T09:29:26 |
https://docs.aws.amazon.com/it_it/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html#cloudwatch-solutions-overview | Che cos'è Amazon CloudWatch? - Amazon CloudWatch Che cos'è Amazon CloudWatch? - Amazon CloudWatch Documentazione Amazon CloudWatch Guida per l’utente Visibilità operativa con metriche, allarmi e pannelli di controllo Monitoraggio delle prestazioni delle applicazioni (APM) Monitoraggio dell'infrastruttura Raccolta, archiviazione e interrogazione dei log Usa l' CloudWatch agente per raccogliere metriche, log e tracce dalle flotte Amazon EC2 Monitoraggio tra account Catalogo delle soluzioni CloudWatch monitoraggio della rete Fatturazione e costi Resources Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà. Che cos'è Amazon CloudWatch? Amazon CloudWatch monitora le tue risorse Amazon Web Services (AWS) e le applicazioni su cui esegui AWS in tempo reale e offre molti strumenti per offrirti l'osservabilità a livello di sistema delle prestazioni delle applicazioni, dello stato operativo e dell'utilizzo delle risorse. Argomenti Visibilità operativa con metriche, allarmi e pannelli di controllo Monitoraggio delle prestazioni delle applicazioni (APM) Monitoraggio dell'infrastruttura Raccolta, archiviazione e interrogazione dei log Usa l' CloudWatch agente per raccogliere metriche, log e tracce dalle flotte Amazon EC2 Monitoraggio tra account Catalogo delle soluzioni Monitoraggio della rete e di Internet Fatturazione e costi CloudWatch Risorse Amazon Visibilità operativa con metriche, allarmi e pannelli di controllo Le metriche raccolgono e tengono traccia dei principali dati sulle prestazioni a intervalli definiti dall'utente. Molti AWS servizi segnalano automaticamente le CloudWatch metriche e puoi anche pubblicare metriche personalizzate CloudWatch dalle tue applicazioni. I pannelli di controllo offrono una visione unificata delle risorse e delle applicazioni con visualizzazioni delle metriche e dei log in un'unica posizione. Puoi anche condividere dashboard tra account e regioni per una maggiore consapevolezza operativa. CloudWatch fornisce dashboard automatiche curate per molti AWS servizi, in modo che tu non debba crearle tu stesso. Puoi impostare allarmi che monitorano continuamente le CloudWatch metriche rispetto a soglie definite dall'utente. Possono avvisarti automaticamente in caso di violazioni delle soglie e possono anche rispondere automaticamente ai cambiamenti nel comportamento delle tue risorse attivando operazioni automatiche . Monitoraggio delle prestazioni delle applicazioni (APM) Con Application Signals puoi rilevare e monitorare automaticamente i principali indicatori di prestazione delle tue applicazioni, come latenza, tassi di errore e tassi di richieste, senza bisogno di instrumentazione manuale o modifiche al codice. Application Signals fornisce anche pannelli di controllo curati in modo da poter iniziare il monitoraggio con una configurazione minima. CloudWatch Synthetics completa questo aspetto consentendovi di monitorare in modo proattivo i vostri endpoint APIs e attraverso script configurabili chiamati canaries che simulano il comportamento degli utenti e vi avvisano di problemi di disponibilità o peggioramento delle prestazioni prima che abbiano un impatto sugli utenti reali. È inoltre possibile utilizzare RUM per raccogliere dati sulle prestazioni da sessioni utente realiCloudWatch . Utilizzate Service Level SLOs Objectives () CloudWatch per definire, tracciare e segnalare obiettivi di affidabilità specifici per le vostre applicazioni, aiutandovi a mantenere gli impegni in materia di qualità del servizio impostando budget per gli errori e monitorando la conformità SLO nel tempo. Monitoraggio dell'infrastruttura Molti AWS servizi inviano automaticamente e gratuitamente le metriche di base CloudWatch a. I servizi che inviano metriche sono elencati qui . Inoltre, CloudWatch offre funzionalità di monitoraggio aggiuntive per diversi componenti chiave dell' AWS infrastruttura: Database Insights consente di monitorare le metriche delle prestazioni del database in tempo reale, analizzare le prestazioni delle query SQL e risolvere i problemi di caricamento del database per i servizi di database AWS . Lambda Insights fornisce metriche a livello di sistema per le funzioni Lambda, tra cui il monitoraggio dell'utilizzo della memoria e della CPU e il rilevamento e l'analisi dell'avvio a freddo. Container Insights ti consente di raccogliere e analizzare metriche da applicazioni containerizzate, su cluster Amazon ECS, cluster Amazon EKS e cluster Kubernetes autogestiti su Amazon. EC2 Raccolta, archiviazione e interrogazione dei log CloudWatch Logs offre una suite di potenti funzionalità per la gestione e l'analisi complete dei registri. I log acquisiti dai AWS servizi e dalle applicazioni personalizzate vengono archiviati in gruppi e flussi di log per una facile organizzazione. Usa CloudWatch Logs Insights per eseguire query interattive e veloci sui dati di registro, con una scelta di tre linguaggi di query, tra cui SQL e PPL. Usa il rilevamento di anomalie nei log per trovare schemi insoliti negli eventi dei log in un gruppo di log, che possono indicare problemi. Crea filtri metrici per estrarre valori numerici dai log e generare CloudWatch metriche, che puoi utilizzare per avvisi e dashboard. Configura filtri di abbonamento per elaborare e analizzare i log in tempo reale o indirizzarli ad altri servizi come Amazon S3 o Firehose. Usa l' CloudWatch agente per raccogliere metriche, log e tracce dalle flotte Amazon EC2 Usa l' CloudWatch agente per raccogliere metriche di sistema dettagliate su processi, CPU, memoria, utilizzo del disco e prestazioni di rete dalle tue flotte di EC2 istanze Amazon e server locali. Puoi anche raccogliere e monitorare metriche personalizzate dalle tue applicazioni, aggregare i log da più fonti e configurare gli allarmi in base ai dati raccolti. Inoltre, puoi utilizzare l'agente per raccogliere le metriche della GPU . L'agente supporta i sistemi operativi Windows e Linux e può integrarsi con Systems Manager per la gestione centralizzata della configurazione. Monitoraggio tra account CloudWatch L'osservabilità tra account consente di configurare un account di monitoraggio centrale per monitorare e risolvere i problemi delle applicazioni che si estendono su più account. Dall'account centrale, puoi visualizzare metriche, log e tracce degli account di origine in tutta l'organizzazione. Questo approccio centralizzato consente di creare pannelli di controllo per più account, impostare allarmi che controllano le metriche di più account ed eseguire analisi delle cause principali oltre i confini degli account. Con l' CloudWatch osservabilità tra account, puoi collegare gli account di origine singolarmente o collegarli automaticamente. AWS Organizations Catalogo delle soluzioni CloudWatch offre un catalogo di configurazioni immediatamente disponibili per aiutarti a implementare rapidamente il monitoraggio per vari AWS servizi e carichi di lavoro comuni, come Java Virtual Machines (JVM), GPU NVIDIA, Apache Kafka, Apache Tomcat e NGINX. Queste soluzioni forniscono indicazioni mirate, tra cui istruzioni per l'installazione e la configurazione dell'agente, l'implementazione di dashboard personalizzate predefinite e l'impostazione dei relativi allarmi. CloudWatch Monitoraggio della rete e di Internet CloudWatch fornisce funzionalità complete di monitoraggio della rete e di Internet tramite CloudWatch Network Monitoring. Internet Monitor utilizza i dati di rete AWS globali per analizzare le prestazioni e la disponibilità di Internet tra le applicazioni e gli utenti finali. Grazie al monitoraggio Internet, puoi identificare o ricevere notifiche in caso di aumento della latenza o interruzioni regionali che hanno un impatto sui tuoi clienti. I monitoraggi Internet funzionano analizzando i log di flusso del VPC per fornire informazioni automatizzate sugli schemi e sulle prestazioni del traffico di rete. Puoi anche ottenere suggerimenti su come ottimizzare le prestazioni delle applicazioni per i tuoi clienti. Network Flow Monitor visualizza le informazioni sulle prestazioni di rete raccolte da agenti software leggeri che installi sulle tue istanze. Utilizzando un monitoraggio del flusso, è possibile visualizzare rapidamente la perdita di pacchetti e la latenza delle connessioni di rete in un periodo di tempo specificato. Ogni monitor genera anche un indicatore di integrità della rete (NHI), che indica se si sono verificati problemi di AWS rete per i flussi di rete tracciati dal monitor durante il periodo di tempo che state valutando. Quando ti connetti utilizzando Direct Connect, puoi utilizzare i monitor sintetici in Network Synthetic Monitor per monitorare in modo proattivo la connettività di rete eseguendo test sintetici tra un VPC e gli endpoint locali. Quando si crea un monitor sintetico, si specificano le sonde fornendo una sottorete VPC e indirizzi IP locali. AWS crea e gestisce in background l'infrastruttura necessaria per eseguire misurazioni del tempo di andata e ritorno e della perdita di pacchetti con le sonde. Questi test rilevano problemi di connettività, DNS e latenza prima che influiscano sulle applicazioni, in modo da intervenire per migliorare l'esperienza degli utenti finali. Fatturazione e costi Per informazioni complete sui CloudWatch prezzi, consulta la pagina CloudWatch dei prezzi di Amazon . Per informazioni su come analizzare la fattura e possibilmente ottimizzare e ridurre i costi, consulta Analisi, ottimizzazione e riduzione dei costi CloudWatch . CloudWatch Risorse Amazon Le seguenti risorse correlate possono rivelarsi utili durante l'utilizzo di questo servizio. Risorsa Description Amazon CloudWatch FAQs La sezione Domande frequenti include le domande principali che gli sviluppatori pongo in merito a questo prodotto. AWS Centro per sviluppatori Un punto di partenza centrale per trovare documentazione, esempi di codice, note di rilascio e altre informazioni con cui aiutarti a creare applicazioni innovative AWS. Console di gestione AWS La console consente di eseguire la maggior parte delle funzioni di Amazon CloudWatch e di varie altre AWS offerte senza programmazione. Forum di CloudWatch discussione Amazon Forum basato sulla community per sviluppatori per discutere di questioni tecniche relative ad Amazon. CloudWatch Supporto AWS L'hub per creare e gestire i tuoi casi. Supporto AWS Include anche collegamenti ad altre risorse utili, come forum, informazioni tecnicheFAQs, stato di integrità del servizio e AWS Trusted Advisor. Informazioni CloudWatch sui prodotti Amazon La pagina web principale per informazioni su Amazon CloudWatch. Contattaci Un punto di contatto centrale per domande relative a AWS fatturazione, account, eventi, abusi, ecc. JavaScript è disabilitato o non è disponibile nel tuo browser. Per usare la documentazione AWS, JavaScript deve essere abilitato. Consulta le pagine della guida del browser per le istruzioni. Convenzioni dei documenti Configurazione delle impostazioni Questa pagina ti è stata utile? - Sì Grazie per averci comunicato che stiamo facendo un buon lavoro! Se hai un momento, ti invitiamo a dirci che cosa abbiamo fatto che ti è piaciuto così possiamo offrirti altri contenuti simili. Questa pagina ti è stata utile? - No Grazie per averci comunicato che questa pagina ha bisogno di essere modificata. Siamo spiacenti di non aver soddisfatto le tue esigenze. Se hai un momento, ti invitiamo a dirci come possiamo migliorare la documentazione. | 2026-01-13T09:29:26 |
https://www.shopify.com/mx | Shopify México Ir al contenido Soluciones Comienza Comienza tu negocio . Desarrolla tu marca Crea tu sitio web . Editor de tienda online Personaliza tu tienda . Temas para tiendas Encuentra aplicaciones para negocios . Tienda de aplicaciones de Shopify Obtén un dominio propio para tu sitio . Dominios y alojamiento web Descubre herramientas empresariales gratis . Herramientas para gestionar tu negocio Vende Vende tus productos . Vende online o en persona Vende online . Haz crecer tu negocio online Vende en distintos canales . Llega a millones de compradores y aumenta tus ventas Vende en todo el mundo . Ventas internacionales Vende al por mayor y de forma directa . Negocio a negocio (B2B) Promociona Promociona tu negocio . Llega a nuevos clientes y fidelízalos Promociona en las redes sociales . Integraciones con redes sociales Chatea con los clientes . Shopify Inbox Fomenta tu relación con los clientes . Correo electrónico de Shopify Conoce a tu público . Obtén información útil de tus clientes Gestiona Gestiona tu negocio . Sigue las ventas, los pedidos, y los informes y estadísticas Mide tu rendimiento . Informes y estadísticas Gestiona tus existencias y pedidos . Gestión de inventario y pedidos Automatiza tu negocio . Shopify Flow Desarrolladores de Shopify . Crea con las API potentes de Shopify Plus . Una solución de comercio para las marcas digitales en crecimiento Todos los productos . Descubre todos los productos y funciones de Shopify Precios Recursos Ayuda y atención al cliente Ayuda y atención al cliente . Obtén atención al cliente 24/7 Blog de Shopify . Sugerencias de estrategia comercial Temas populares ¿Qué es Shopify? . Cómo funciona nuestra plataforma de comercio Historias de fundadores . Aprende de comerciantes exitosos Promoción de marca . Crea tu marca desde cero Marketing . Crea un plan de marketing SEO de ecommerce . Mejora tu calificación en las búsquedas Estrategia en redes sociales . Convierte las redes sociales en ventas Crecimiento empresarial . Expande tu negocio Herramientas esenciales Generador de logos . Fotos de stock . Plantilla de planes de negocios . Generador de códigos QR . Iniciar sesión Comienza gratis Comienza gratis Tu negocio puede ser un éxito rotundo Tu negocio puede ser el creador de una nueva categoría un éxito rotundo el gran referente el creador de una nueva categoría una startup unicornio el favorito de todos los hogares el nuevo imperio comercial la gran marca independiente la tienda con las grandes filas Sueña en grande, construye rápido y llega lejos con Shopify. Comienza gratis Ver planes Por qué creamos Shopify Por qué creamos Shopify La plataforma de comercio detrás de todo Vende online y en persona. Vende a nivel local y mundial. Vende de forma directa y mayorista. Vende a través de computadoras y dispositivos móviles. glossier.com thesill.com vacation.inc aurabora.com kitandace.com supersmalls.com happymondaycoffee.com onlyny.com jp.bonaventura.shop rowingblazers.com kirrinfinch.com brooklinen.com shop.a-morir.com carawayhome.com thirstyturtl.com Para todos, desde emprendedores hasta empresas Millones de comerciantes de todos los tamaños han generado colectivamente US$1.000.000.000.000 en ventas en Shopify. Comienza con rapidez Megan Bre Camp, vendedora en solitario, puso en marcha Summer Solace Tallow para vender sus velas y productos para el cuidado de la piel orgánicos tanto online como en mercados locales. Crece todo lo que quieras La marca de atletismo Gymshark pasó de trabajar en un garaje a convertirse en la empresa mundial que es hoy, con más de US$500 millones en ventas anuales. Aumenta las expectativas Con la ayuda de Shopify para empresas, Mattel vende sus icónicos juguetes directamente a clientes en todo el mundo. Elige un plan que se adapte a tus necesidades Online y en persona Vende en cualquier parte Obtén una tienda increíble , diseñada para vender. Diseña rápidamente con IA, elige un tema con estilo o crea todo de forma personalizada para tener control total. Punto de venta en persona Vende en persona y mantén las ventas offline y online sincronizadas con Shopify POS . Publica en distintos canales Aparece en los lugares en los que los compradores se desplazan, buscan y compran con la integración multicanal . Con la mejor tecnología de pago del mundo Shopify Checkout es rápido, totalmente personalizable y optimizado para concretar más ventas. Directo y mayorista. Encuentra a tus clientes más leales Llega a los clientes adecuados por menos Atrae nuevos clientes y haz que vuelvan por más con herramientas de marketing integradas e Informes y estadísticas útiles . Impulsa el crecimiento con B2B Crea experiencias personalizadas para compradores mayoristas con fijación de precios, descuentos y condiciones de pago flexibles. Local y global Crece en todo el mundo Buy now 🇺🇸 Pedido para USD 40.00 Buy now 🇺🇸 Pedido para USD 125.00 Buy now 🇺🇸 Pedido para USD 125.00 Buy now 🇺🇸 Pedido para USD 125.00 Buy now 🇺🇸 Pedido para USD 125.00 Buy now 🇺🇸 Pedido para USD 125.00 Vende y realiza envíos a todas partes Shopify reduce la complejidad de las ventas internacionales, con entregas de productos más rápidas y asequibles, así como con la localización de tu experiencia con Shopify Markets . Computadoras y dispositivos móviles Cuida tu negocio Gestiona todo en un solo lugar Desde la oficina administrativa hasta la tienda, siempre tendrás el poder con el panel de control de Shopify totalmente centralizado. Gestiona tu tienda desde cualquier lugar Haz todo desde tu bolsillo con la completa aplicación móvil de Shopify . Aplicaciones para todo lo demás Shopify ofrece todo lo necesario, pero si tu negocio requiere algo más, tienes la Shopify App Store , con más de 13.000 aplicaciones comerciales para cualquier característica especializada que puedas requerir. Por desarrolladores, para desarrolladores Las API, primitivas y herramientas capacitan a los desarrolladores y partners para crear las aplicaciones, temas y tiendas personalizadas que buscan las empresas. Hydrogen: El marco de comercio headless de Shopify Crea tiendas personalizadas Amplía el proceso de pago Crea aplicaciones shopify.dev No hay mejor lugar para construir tu negocio El sistema de pago con mejor conversión del mundo Mayor conversión 15 % Compradores con alto nivel de interés 150M + Shopify Checkout convierte un 15% más en promedio que otras plataformas de comercio y expone tu marca a 150 millones de compradores listos para comprar. Según un estudio externo con una consultora global perteneciente a las Big Three de abril de 2023. Estable como una roca y veloz como un rayo Shopify sitúa tu tienda a 50 milisegundos de distancia de todos los compradores del mundo, con capacidad para gestionar incluso los lanzamientos de productos más épicos. Shopify nunca deja de innovar Nuestra flota de más de 4.000 desarrolladores de primer nivel aprovecha constantemente las tecnologías más recientes para que tu negocio sea más fuerte, más rápido y tenga más éxito. IA diseñada para el comercio Shopify Magic aprovecha el poder de la IA para ahorrarte tiempo, ya sea a través de la generación de contenido de productos o sugiriéndote formas de utilizar Shopify al máximo. Innovación constante Cada 6 meses, Shopify lanza más de 150 funciones y mejoras nuevas, todas exhibidas en Shopify Editions . Es muy fácil comenzar a vender 01 Agrega tu primer producto 02 Personaliza tu tienda 03 Configura pagos Comienza ya Shopify Acerca de nosotros Empleos Inversores Prensa y medios Socios Afiliados Legal Estado del servicio Atención al cliente Atención al cliente para comerciantes Centro de ayuda de Shopify Contrata a un socio Shopify Academy Comunidad de Shopify Desarrolladores Shopify.dev Documentación de API Dev Degree Productos Shop Shopify Plus Shopify para empresas Soluciones Creador de tiendas online Creador de sitios web México | Español Alemania Deutsch | English Argentina Español | English Australia English Austria Deutsch | English Bélgica Nederlands | German | Français | English Bielorrusia Russian | English Brasil Português | English Bulgaria Bulgarian | English Canadá English | Français Chile Español | English Colombia Español | English Corea 한국어 | English Dinamarca Dansk | English EAU English EE. UU. 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UU. English | Español (Intl.) | 简体中文 España Español | English Filipinas English Finlandia Suomi | English Francia Français | English Grecia Greek | English Hungría Hungarian | English India Hindi | English Indonesia Indonesian | English Irlanda English Israel English Italia Italiano | English Japón 日本語 Lituania Lithuanian | English Malasia English México Español | English Nigeria English Noruega Norge | English Nueva Zelanda English Países Bajos Nederlands | English Pakistán English Perú Español | English Polonia Polski | English Portugal Português | English RAE de Hong Kong 繁體中文 | English Reino Unido English República Checa Čeština | English Rumania Romanian | English Singapur English Sudáfrica English Suecia Svenska | English Suiza Deutsch | Français | Italiano | English Tailandia ไทย | English Taiwán 繁體中文 | English Turquía Türkçe | English Términos del Servicio Política de privacidad Mapa del sitio | 2026-01-13T09:29:26 |
https://docs.aws.amazon.com/it_it/AmazonCloudWatch/latest/monitoring/WhatIsCloudWatch.html#BillingPointer | Che cos'è Amazon CloudWatch? - Amazon CloudWatch Che cos'è Amazon CloudWatch? - Amazon CloudWatch Documentazione Amazon CloudWatch Guida per l’utente Visibilità operativa con metriche, allarmi e pannelli di controllo Monitoraggio delle prestazioni delle applicazioni (APM) Monitoraggio dell'infrastruttura Raccolta, archiviazione e interrogazione dei log Usa l' CloudWatch agente per raccogliere metriche, log e tracce dalle flotte Amazon EC2 Monitoraggio tra account Catalogo delle soluzioni CloudWatch monitoraggio della rete Fatturazione e costi Resources Le traduzioni sono generate tramite traduzione automatica. In caso di conflitto tra il contenuto di una traduzione e la versione originale in Inglese, quest'ultima prevarrà. Che cos'è Amazon CloudWatch? Amazon CloudWatch monitora le tue risorse Amazon Web Services (AWS) e le applicazioni su cui esegui AWS in tempo reale e offre molti strumenti per offrirti l'osservabilità a livello di sistema delle prestazioni delle applicazioni, dello stato operativo e dell'utilizzo delle risorse. Argomenti Visibilità operativa con metriche, allarmi e pannelli di controllo Monitoraggio delle prestazioni delle applicazioni (APM) Monitoraggio dell'infrastruttura Raccolta, archiviazione e interrogazione dei log Usa l' CloudWatch agente per raccogliere metriche, log e tracce dalle flotte Amazon EC2 Monitoraggio tra account Catalogo delle soluzioni Monitoraggio della rete e di Internet Fatturazione e costi CloudWatch Risorse Amazon Visibilità operativa con metriche, allarmi e pannelli di controllo Le metriche raccolgono e tengono traccia dei principali dati sulle prestazioni a intervalli definiti dall'utente. Molti AWS servizi segnalano automaticamente le CloudWatch metriche e puoi anche pubblicare metriche personalizzate CloudWatch dalle tue applicazioni. I pannelli di controllo offrono una visione unificata delle risorse e delle applicazioni con visualizzazioni delle metriche e dei log in un'unica posizione. Puoi anche condividere dashboard tra account e regioni per una maggiore consapevolezza operativa. CloudWatch fornisce dashboard automatiche curate per molti AWS servizi, in modo che tu non debba crearle tu stesso. Puoi impostare allarmi che monitorano continuamente le CloudWatch metriche rispetto a soglie definite dall'utente. Possono avvisarti automaticamente in caso di violazioni delle soglie e possono anche rispondere automaticamente ai cambiamenti nel comportamento delle tue risorse attivando operazioni automatiche . Monitoraggio delle prestazioni delle applicazioni (APM) Con Application Signals puoi rilevare e monitorare automaticamente i principali indicatori di prestazione delle tue applicazioni, come latenza, tassi di errore e tassi di richieste, senza bisogno di instrumentazione manuale o modifiche al codice. Application Signals fornisce anche pannelli di controllo curati in modo da poter iniziare il monitoraggio con una configurazione minima. CloudWatch Synthetics completa questo aspetto consentendovi di monitorare in modo proattivo i vostri endpoint APIs e attraverso script configurabili chiamati canaries che simulano il comportamento degli utenti e vi avvisano di problemi di disponibilità o peggioramento delle prestazioni prima che abbiano un impatto sugli utenti reali. È inoltre possibile utilizzare RUM per raccogliere dati sulle prestazioni da sessioni utente realiCloudWatch . Utilizzate Service Level SLOs Objectives () CloudWatch per definire, tracciare e segnalare obiettivi di affidabilità specifici per le vostre applicazioni, aiutandovi a mantenere gli impegni in materia di qualità del servizio impostando budget per gli errori e monitorando la conformità SLO nel tempo. Monitoraggio dell'infrastruttura Molti AWS servizi inviano automaticamente e gratuitamente le metriche di base CloudWatch a. I servizi che inviano metriche sono elencati qui . Inoltre, CloudWatch offre funzionalità di monitoraggio aggiuntive per diversi componenti chiave dell' AWS infrastruttura: Database Insights consente di monitorare le metriche delle prestazioni del database in tempo reale, analizzare le prestazioni delle query SQL e risolvere i problemi di caricamento del database per i servizi di database AWS . Lambda Insights fornisce metriche a livello di sistema per le funzioni Lambda, tra cui il monitoraggio dell'utilizzo della memoria e della CPU e il rilevamento e l'analisi dell'avvio a freddo. Container Insights ti consente di raccogliere e analizzare metriche da applicazioni containerizzate, su cluster Amazon ECS, cluster Amazon EKS e cluster Kubernetes autogestiti su Amazon. EC2 Raccolta, archiviazione e interrogazione dei log CloudWatch Logs offre una suite di potenti funzionalità per la gestione e l'analisi complete dei registri. I log acquisiti dai AWS servizi e dalle applicazioni personalizzate vengono archiviati in gruppi e flussi di log per una facile organizzazione. Usa CloudWatch Logs Insights per eseguire query interattive e veloci sui dati di registro, con una scelta di tre linguaggi di query, tra cui SQL e PPL. Usa il rilevamento di anomalie nei log per trovare schemi insoliti negli eventi dei log in un gruppo di log, che possono indicare problemi. Crea filtri metrici per estrarre valori numerici dai log e generare CloudWatch metriche, che puoi utilizzare per avvisi e dashboard. Configura filtri di abbonamento per elaborare e analizzare i log in tempo reale o indirizzarli ad altri servizi come Amazon S3 o Firehose. Usa l' CloudWatch agente per raccogliere metriche, log e tracce dalle flotte Amazon EC2 Usa l' CloudWatch agente per raccogliere metriche di sistema dettagliate su processi, CPU, memoria, utilizzo del disco e prestazioni di rete dalle tue flotte di EC2 istanze Amazon e server locali. Puoi anche raccogliere e monitorare metriche personalizzate dalle tue applicazioni, aggregare i log da più fonti e configurare gli allarmi in base ai dati raccolti. Inoltre, puoi utilizzare l'agente per raccogliere le metriche della GPU . L'agente supporta i sistemi operativi Windows e Linux e può integrarsi con Systems Manager per la gestione centralizzata della configurazione. Monitoraggio tra account CloudWatch L'osservabilità tra account consente di configurare un account di monitoraggio centrale per monitorare e risolvere i problemi delle applicazioni che si estendono su più account. Dall'account centrale, puoi visualizzare metriche, log e tracce degli account di origine in tutta l'organizzazione. Questo approccio centralizzato consente di creare pannelli di controllo per più account, impostare allarmi che controllano le metriche di più account ed eseguire analisi delle cause principali oltre i confini degli account. Con l' CloudWatch osservabilità tra account, puoi collegare gli account di origine singolarmente o collegarli automaticamente. AWS Organizations Catalogo delle soluzioni CloudWatch offre un catalogo di configurazioni immediatamente disponibili per aiutarti a implementare rapidamente il monitoraggio per vari AWS servizi e carichi di lavoro comuni, come Java Virtual Machines (JVM), GPU NVIDIA, Apache Kafka, Apache Tomcat e NGINX. Queste soluzioni forniscono indicazioni mirate, tra cui istruzioni per l'installazione e la configurazione dell'agente, l'implementazione di dashboard personalizzate predefinite e l'impostazione dei relativi allarmi. CloudWatch Monitoraggio della rete e di Internet CloudWatch fornisce funzionalità complete di monitoraggio della rete e di Internet tramite CloudWatch Network Monitoring. Internet Monitor utilizza i dati di rete AWS globali per analizzare le prestazioni e la disponibilità di Internet tra le applicazioni e gli utenti finali. Grazie al monitoraggio Internet, puoi identificare o ricevere notifiche in caso di aumento della latenza o interruzioni regionali che hanno un impatto sui tuoi clienti. I monitoraggi Internet funzionano analizzando i log di flusso del VPC per fornire informazioni automatizzate sugli schemi e sulle prestazioni del traffico di rete. Puoi anche ottenere suggerimenti su come ottimizzare le prestazioni delle applicazioni per i tuoi clienti. Network Flow Monitor visualizza le informazioni sulle prestazioni di rete raccolte da agenti software leggeri che installi sulle tue istanze. Utilizzando un monitoraggio del flusso, è possibile visualizzare rapidamente la perdita di pacchetti e la latenza delle connessioni di rete in un periodo di tempo specificato. Ogni monitor genera anche un indicatore di integrità della rete (NHI), che indica se si sono verificati problemi di AWS rete per i flussi di rete tracciati dal monitor durante il periodo di tempo che state valutando. Quando ti connetti utilizzando Direct Connect, puoi utilizzare i monitor sintetici in Network Synthetic Monitor per monitorare in modo proattivo la connettività di rete eseguendo test sintetici tra un VPC e gli endpoint locali. Quando si crea un monitor sintetico, si specificano le sonde fornendo una sottorete VPC e indirizzi IP locali. AWS crea e gestisce in background l'infrastruttura necessaria per eseguire misurazioni del tempo di andata e ritorno e della perdita di pacchetti con le sonde. Questi test rilevano problemi di connettività, DNS e latenza prima che influiscano sulle applicazioni, in modo da intervenire per migliorare l'esperienza degli utenti finali. Fatturazione e costi Per informazioni complete sui CloudWatch prezzi, consulta la pagina CloudWatch dei prezzi di Amazon . Per informazioni su come analizzare la fattura e possibilmente ottimizzare e ridurre i costi, consulta Analisi, ottimizzazione e riduzione dei costi CloudWatch . CloudWatch Risorse Amazon Le seguenti risorse correlate possono rivelarsi utili durante l'utilizzo di questo servizio. Risorsa Description Amazon CloudWatch FAQs La sezione Domande frequenti include le domande principali che gli sviluppatori pongo in merito a questo prodotto. AWS Centro per sviluppatori Un punto di partenza centrale per trovare documentazione, esempi di codice, note di rilascio e altre informazioni con cui aiutarti a creare applicazioni innovative AWS. Console di gestione AWS La console consente di eseguire la maggior parte delle funzioni di Amazon CloudWatch e di varie altre AWS offerte senza programmazione. Forum di CloudWatch discussione Amazon Forum basato sulla community per sviluppatori per discutere di questioni tecniche relative ad Amazon. CloudWatch Supporto AWS L'hub per creare e gestire i tuoi casi. Supporto AWS Include anche collegamenti ad altre risorse utili, come forum, informazioni tecnicheFAQs, stato di integrità del servizio e AWS Trusted Advisor. Informazioni CloudWatch sui prodotti Amazon La pagina web principale per informazioni su Amazon CloudWatch. Contattaci Un punto di contatto centrale per domande relative a AWS fatturazione, account, eventi, abusi, ecc. JavaScript è disabilitato o non è disponibile nel tuo browser. Per usare la documentazione AWS, JavaScript deve essere abilitato. Consulta le pagine della guida del browser per le istruzioni. Convenzioni dei documenti Configurazione delle impostazioni Questa pagina ti è stata utile? - Sì Grazie per averci comunicato che stiamo facendo un buon lavoro! Se hai un momento, ti invitiamo a dirci che cosa abbiamo fatto che ti è piaciuto così possiamo offrirti altri contenuti simili. Questa pagina ti è stata utile? - No Grazie per averci comunicato che questa pagina ha bisogno di essere modificata. Siamo spiacenti di non aver soddisfatto le tue esigenze. Se hai un momento, ti invitiamo a dirci come possiamo migliorare la documentazione. | 2026-01-13T09:29:26 |
https://play.google.com/store/apps/details?id=com.bitazza.freedom.wallet&hl=nl | Freedom World - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids Freedom World Bitazza Company Limited 100K+ Downloads Rated for 3+ info Install Share Add to wishlist About this app arrow_forward Freedom World – Chat, Make Friends, Earn Points, and Redeem Real Rewards! Freedom World is an all-in-one community platform that lets you chat, connect, and make new friends easily through a user-friendly chat app. Enjoy a variety of fun missions to collect “Freedom Shards” and redeem them for real rewards – no extra cost. The more you engage, the more you get! One app, endless fun – community, games, and rewards in one place! Whether you're looking to chat, find friends with similar interests, or enjoy rewarding activities, Freedom World is the app for you! Join interest-based communities – finance, gaming, lifestyle, restaurants, top shops, and more – and easily connect and chat with new people through our smooth chat and social feed features. Plus, enjoy live streaming to keep up with real-time content and entertainment. Complete fun missions to collect Freedom Shards and exchange them for exclusive prizes – from in-app rewards to gift cards and real products. Every shard you earn has real value! 🎮 Battle on with “The Scape” – our strategy card game Fight, train your tactics, and collect shards to redeem rewards. Complete daily missions and start earning right away! 💡 Why choose Freedom World? ■ Make new friends – chat, play, and connect based on shared interests ■ Smooth, user-friendly chat and messaging system ■ Join communities that match your interests – from gaming and finance to lifestyle ■ Enjoy live streaming – stay updated with knowledge or entertainment in real time ■ Collect Freedom Shards and redeem real rewards – no hidden costs ■ Join branded missions and campaigns – the more you join, the more you earn 🎁 What kind of rewards can you get? Use the points you collect from chatting, playing games, or engaging with communities to redeem: ■ Gift cards from leading stores ■ Limited edition items ■ Discount codes ■ Everyday essentials ■ And many more rewards, updated regularly! Whether you're here to make friends, chat, share stories, or earn and redeem points – Freedom World has everything you need to have fun every day. Download now and start your shard-earning journey today! Updated on Nov 20, 2025 Social Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. No data shared with third parties Learn more about how developers declare sharing This app may collect these data types Personal info, Financial info, and App info and performance Data is encrypted in transit You can request that data be deleted See details What’s new Bug fixes and Improvements flag Flag as inappropriate App support expand_more public Website email Support email support@freedom.world shield Privacy Policy About the developer BITAZZA COMPANY LIMITED hamidreza.momeni@bitazza.com 2922/280 New Phetchaburi Road 24 Floor HUAI KHWANG 10310 Thailand +49 1590 1400651 Similar apps arrow_forward TCG Card Value Scanner - Shiny Shiny Cardboard LLC Ronin Wallet Sky Mavis Pte. Ltd. 4.0 star Wombat - Powered by PlayMind PlayMind 5.0 star Ledger Wallet™ crypto app Ledger 4.7 star Tykr: Confident Investing Tykr LLC Seeking Alpha: News & Analysis SeekingAlpha 4.6 star flag Flag as inappropriate Google Play Play Pass Play Points Gift cards Redeem Refund policy Kids & family Parent Guide Family sharing Terms of Service Privacy About Google Play Developers Google Store All prices include VAT. South Korea (English) 상호명: Google LLC. | 대표자: Sundar Pichai | 주소: 1600 Amphitheatre Parkway, Mountain View, CA 94043, United States | 고객센터: 080-085-1500 (무료) / gpk-usersupport@google.com | 호스팅 서비스 제공: Google LLC. | 사업자정보 Google Play에 등록된 앱과 게임은 각 개발자가 제공하고 판매하는 것이며, Google LLC가 개발자로 표시된 앱과 게임 이외에 Play에 등록된 �� | 2026-01-13T09:29:26 |
https://www.shopify.com/dk | Shopify Danmark Spring til indhold Løsninger Start Start din virksomhed . Opbyg dit brand Opret dit website . Webshopeditor Tilpas din butik . Butikstemaer Find virksomhedsapps . Shopify App Store Få dit eget websitedomæne . Domæner og hosting Udforsk gratis virksomhedsværktøjer . Værktøjer til drift af din virksomhed Sælg Sælg dine produkter . Sælg online eller ansigt til ansigt Hjælp kunderne med at betale . Betalingsløsning i verdensklasse Sælg online . Skab vækst i din virksomhed online Sælg på tværs af kanaler . Nå ud til millioner af kunder, og boost dit salg Sælg ansigt til ansigt . Kassesystem (POS) Sælg globalt . Internationalt salg Sælg engros og direkte . Business-to-business (B2B) Modtag betaling online . Opsæt betalingsmetoder Marked Markedsfør din virksomhed . Kontakt og bevar kunder Markedsfør på sociale medier . Integrationer til sociale medier Chat med kunderne . Shopify Inbox Plej kunderne . Shopify Email Kend din målgruppe . Få kundeindblik Administrer Administrer din virksomhed . Spor salg, ordrer og analyser Mål dine resultater . Analyse og rapportering Hold styr på lagerbeholdning og ordrer . Lager og ordrebehandling Automatiser din virksomhed . Shopify Flow Shopify-udviklere . Skab med Shopifys effektive API’er Plus . En handelsløsning til digitale brands i vækst Alle produkter . Udforsk alle Shopify-produkter og -funktioner Priser Ressourcer Hjælp og support Hjælp og support . Få support 24/7 Shopifys blog . Tip til forretningsstrategi Vigtige værktøjer Logodesigner . Lagerbilleder . Skabelon til forretningsplan . Generator til QR-koder . Log ind Kom i gang gratis Kom i gang gratis Bliv den næste alle taler om Bliv den næste der tager styringen alle taler om på alles læber kategorikreatør succesfulde startup med det store navn globale mastodont der tager styringen populære butik Drøm stort, byg hurtigt, og skab vækst på Shopify. Kom i gang gratis Vis abonnementer Derfor startede vi Shopify Derfor startede vi Shopify Den handelsplatform, der ligger bag Sælg online og ansigt til ansigt. Sælg lokalt og globalt. Sælg til direkte kunder og via engros Sælg på computer og mobil. glossier.com thesill.com vacation.inc aurabora.com kitandace.com supersmalls.com happymondaycoffee.com onlyny.com jp.bonaventura.shop rowingblazers.com kirrinfinch.com brooklinen.com shop.a-morir.com carawayhome.com thirstyturtl.com Til alle – lige fra iværksættere til store virksomheder Millioner af shopejere i alle størrelser har en samlet omsætning på mere end 1.000.000.000.000 USD på Shopify. Kom hurtigt i gang Solosælgeren Megan Bre Camp startede Summer Solace Tallow for at sælge sine økologiske stearinlys og hudplejeprodukter online og på lokale markeder. Skab så meget vækst, du vil Athleisure-brandet Gymshark startede i en garage og voksede sig til at blive den globale gigant, det er i dag, med en årlig omsætning på mere end 500 mio. USD. Hæv barren Med hjælp fra Shopify til virksomheder sælger Mattel sit ikoniske legetøj direkte til kunder over hele verden. Vælg et abonnement, der passer til dig Onlinesalg og salg ansigt til ansigt Sælg her, der og alle vegne Få en fantastisk butik , der er lavet til at sælge. Design den hurtigt med AI, vælg et stilfuldt tema, eller lav en helt brugerdefineret butik for at få fuld kontrol. Fysisk kassesystem (POS) Sælg ansigt til ansigt, og synkroniser dit offline- og onlinesalg med Shopify POS . Udgiv på flere kanaler Bliv vist der, hvor kunderne scroller, søger og handler, med integration af flere kanaler . Med verdens bedste betalingsflow Shopify Checkout er hurtig, kan tilpasses fuldt ud og er optimeret til at sælge mere. Direkte og engros Find dine loyale kunder Nå ud til de rette kunder for færre penge Få nye kunder, og få dem til vende tilbage igen og igen med integrerede værktøjer til markedsføring og indsigtsfulde analyser . Oplev endnu større vækst med B2B Skab tilpassede oplevelser til engroskunder med fleksible priser, rabatter og betalingsvilkår. Lokalt og globalt Voks ud over alle grænser Buy now 🇺🇸 Ordre til 40,00 US$ Buy now 🇺🇸 Ordre til 125,00 US$ Buy now 🇺🇸 Ordre til 125,00 US$ Buy now 🇺🇸 Ordre til 125,00 US$ Buy now 🇺🇸 Ordre til 125,00 US$ Buy now 🇺🇸 Ordre til 125,00 US$ Sælg og send overalt Shopify fjerner kompleksiteten ved internationalt salg, lige fra at levere produkter hurtigere og mere overkommeligt til at lokalisere din oplevelse med Shopify Markets . Computer og mobil Pas godt på din forretning Administrer alt på ét sted Lige fra backoffice til butiksvindue – du har altid kontrollen med den centraliserede Shopify-administrator . Driv din butik, uanset hvor du er Hav det hele i lommen med Shopify-mobilappen , der har alle funktioner. Apps til alt det andet Shopify tilbyder alle nødvendigheder, som er helt brugsklare. Men hvis din virksomhed har brug for lidt mere, kan du gå på opdagelse i Shopify App Store – her findes mere end 13.000 handelsapps til alverdens specialiserede funktioner, du måtte have brug for. Af udviklere, til udviklere API’er, grundelementer og værktøjer giver udviklere og partnere mulighed for at skabe de apps, temaer og tilpassede butikslayouter, som virksomhederne har brug for. Hydrogen: Shopifys struktur til headless commerce Opret tilpassede butikslayouts Udvidet betalingsflow Skab apps shopify.dev Der er ikke noget bedre sted at bygge Betalingsflowet med verdens bedste konvertering Flere konverteringer 15 % Købsparate kunder 150mio. + Shopify Checkout konverterer i gennemsnit 15 % mere sammenlignet med andre handelsplatforme og får dit brand ud til 150 mio. købsparate kunder. Baseret på en ekstern undersøgelse udført af et af verdens største internationale konsulentfirmaer i april 2023. Stille og roligt i fuld fart Med Shopify får alle købere på planeten din butik i hænderne på kun 50 millisekunder med en kapacitet til at håndtere selv de mest episke produktlanceringer. Shopify stopper aldrig med at være innovativ Vores mere end 4000 fantastiske udviklere udnytter hele tiden den nyeste teknologi for at gøre din virksomhed stærkere, hurtigere og mere succesfuld. Kunstig intelligens udviklet til handel Shopify Magic bruger kunstig intelligens, så du sparer tid, uanset om det er for at generere produktindhold eller give forslag til, hvordan du får mest muligt ud af Shopify. Uendelig innovation Hver 6. måned leverer Shopify over 150 nye funktioner og opgraderinger – alle sammen præsenteret i Shopify Editions . Det er nemt at begynde at sælge 01 Tilføj dit første produkt 02 Tilpas din butik 03 Opsæt betaling Giv det et skud Shopify Om Karriere Investorer Presse og medier Partnere Affiliates Juridisk Servicestatus Support Support til shopejere Shopify Hjælp Hyr en partner Shopify Academy Udviklere Shopify.dev API-dokumentation Dev Degree Produkter Shop Shop Pay Shopify Plus Shopify til virksomheder Løsninger Webshopværktøj Websitedesigner Danmark | Dansk Argentina Español | English Australien English Belarus Russian | English Belgien Nederlands | German | Français | English Brasilien Português | English Bulgarien Bulgarian | English Canada English | Français Chile Español | English Colombia Español | English Danmark Dansk | English Filippinerne English Finland Suomi | English Forenede Arabiske Emirater English Frankrig Français | English Grækenland Greek | English Hongkong SAR 繁體中文 | English Indien Hindi | English Indonesien Indonesian | English Irland English Israel English Italien Italiano | English Japan 日本語 Korea 한국어 | English Litauen Lithuanian | English Malaysia English Mexico Español | English Nederlandene Nederlands | English New Zealand English Nigeria English Norge Norge | English Østrig Deutsch | English Pakistan English Peru Español | English Polen Polski | English Portugal Português | English Rumænien Romanian | English Schweiz Deutsch | Français | Italiano | English Singapore English Spanien Español | English Storbritannien English Sverige Svenska | English Sydafrika English Taiwan 繁體中文 | English Thailand ไทย | English Tjekkiet Čeština | English Tyrkiet Türkçe | English Tyskland Deutsch | English Ungarn Hungarian | English USA English | Español (Intl.) | 简体中文 Danmark | Dansk Vælg et område og et sprog Argentina Español | English Australien English Belarus Russian | English Belgien Nederlands | German | Français | English Brasilien Português | English Bulgarien Bulgarian | English Canada English | Français Chile Español | English Colombia Español | English Danmark Dansk | English Filippinerne English Finland Suomi | English Forenede Arabiske Emirater English Frankrig Français | English Grækenland Greek | English Hongkong SAR 繁體中文 | English Indien Hindi | English Indonesien Indonesian | English Irland English Israel English Italien Italiano | English Japan 日本語 Korea 한국어 | English Litauen Lithuanian | English Malaysia English Mexico Español | English Nederlandene Nederlands | English New Zealand English Nigeria English Norge Norge | English Østrig Deutsch | English Pakistan English Peru Español | English Polen Polski | English Portugal Português | English Rumænien Romanian | English Schweiz Deutsch | Français | Italiano | English Singapore English Spanien Español | English Storbritannien English Sverige Svenska | English Sydafrika English Taiwan 繁體中文 | English Thailand ไทย | English Tjekkiet Čeština | English Tyrkiet Türkçe | English Tyskland Deutsch | English Ungarn Hungarian | English USA English | Español (Intl.) | 简体中文 Servicevilkår Politik om beskyttelse af persondata Websiteoversigt | 2026-01-13T09:29:26 |
https://www.shopify.com/hk | Shopify 香港特別行政區 跳至內容 解決方案 開店 開創事業 . 打造自有品牌 自行架設網站 . 網路商店編輯器 自訂商店 . 商店佈景主題 尋找商家應用程式 . Shopify App Store 用自有網域架站 . 網域及代管 銷售 銷售商品 . 實體或線上銷售 網路銷售 . 發展網路事業 跨管道銷售 . 觸及數百萬購物者並提高銷售量 全球銷售 . 國際銷售 批發與直效行銷 . 企業對企業 (B2B) 接受線上付款 . 設定付款方式 市場 推廣業務 . 觸及與留客 跨社群平台行銷 . 社群媒體整合 與顧客聊天 . Shopify Inbox 培養顧客關係 . Shopify Email 瞭解客群 . 取得顧客深入分析 管理 管理您的業務 . 追蹤銷售、訂單及數據分析 評估成效 . 分析與報告 管理庫存及訂單 . 庫存及訂單管理 自動處理商家業務 . 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https://www.shopify.com/fi | Shopify Suomi Siirry sisältöön Ratkaisut Aloita Aloita liiketoiminta . Luo oma brändisi Luo verkkosivusto . Verkkokauppaeditori Tee kaupasta haluamasi näköinen . Kaupan teemat Löydä liiketoimintasovelluksia . Shopify App Store Myy Myy tuotteitasi . Myy verkossa tai henkilökohtaisesti Veloita asiakkaita kassavaiheessa . Maailmanluokan kassa Myy verkossa . Kasvata liiketoimintaasi verkossa Myy kaikilla kanavilla . Tavoita miljoonia ostajia ja kasvata myyntiä Myynti kasvotusten . Point of Sale (POS) Myy maailmanlaajuisesti . Kansainvälinen myynti Myy tukkukaupalla ja suoraan . Business-to-business (B2B) Markkina-alue Mainosta yritystäsi. . Tavoita ja säilytä asiakkaita Markkinoi kaikilla somealustoilla . Sosiaalisen median integraatiot Hallinnoi asiakkaita . Shopify Email Tunne yleisösi . Hanki asiakastietoja Hallitse Hallitse liiketoimintaasi . Seuraa myyntejä, tilauksia ja analytiikkaa Mittaa tehokkuutta . Analytiikka ja raportointi Hallitse varastoa ja tilauksia . Varaston- ja tilaustenhallinta Shopify-kehittäjät . Rakenna Shopifyn tehokkaiden API:en avulla Plus . Verkkokaupparatkaisu kasvaville digitaalisille brändeille Kaikki tuotteet . Tutustu kaikkiin Shopifyn tuotteisiin ja ominaisuuksiin Hinnoittelu Resurssit Apu ja tuki Apu ja tuki . 24/7-tuen hyödyntäminen Shopify-blogi . Liiketoimintastrategian vinkit Keskeiset työkalut Yritysnimigeneraattori . Logonsuunnittelusovellus . Kuvapankkikuvat . QR-koodigeneraattori . Kirjaudu sisään Aloita käyttö ilmaiseksi Aloita käyttö ilmaiseksi Voit olla seuraava megahitti Voit olla seuraava verkkokaupan menestystarina megahitti puheenaihe suunnannäyttäjä yksisarvinen jokaisen tuntema brändi bisnesimperiumi tähtiyrittäjä verkkokaupan menestystarina Unelmoi isosti ja kasva nopeasti Shopifyssa. Aloita käyttö ilmaiseksi Miksi perustimme Shopifyn Kaupankäyntialusta menestystarinoiden takana Myy verkossa ja myymälässä. Myy paikallisesti ja globaalisti. Myy vähittäis- ja tukkumyyntinä. Myy tietokoneilla ja matkapuhelimilla. glossier.com thesill.com vacation.inc aurabora.com kitandace.com supersmalls.com happymondaycoffee.com onlyny.com jp.bonaventura.shop rowingblazers.com kirrinfinch.com brooklinen.com shop.a-morir.com carawayhome.com thirstyturtl.com Kaikille yksinyrittäjistä suuryrityksiin Miljoonat erikokoiset kauppiaat ovat myyneet tuotteitaan Shopifyssa yli 1 000 000 000 000 dollarin edestä. Pääse nopeasti alkuun Yksityisyrittäjä Megan Bre Camp perusti Summer Solace Tallow -yrityksen, joka myy luonnonmukaisia kynttilöitä ja ihonhoitotuotteita verkossa ja paikallisella torilla. Kasva niin suureksi kuin haluat Urheilullisia vapaa-ajan vaatteita myyvä Gymshark kasvoi autotalliyrityksestä kansainväliseksi jättiläiseksi, jonka vuotuinen liikevaihto on yli 500 miljoonaa dollaria. Nosta rimaa Shopify yrityksille auttaa Mattelia myymään suosikkileluja asiakkaille ympäri maailman. Valitse sopiva sopimus Verkossa ja myymälässä Myy siellä, täällä ja tuolla Perusta upea kauppa , joka on kuin luotu myyntiin. Suunnittele nopeasti tekoälyn avulla, valitse tyylikäs teema tai pidä ohjat käsissäsi mukauttamalla kauppa itse. Fyysinen myyntipiste Myy kasvokkain ja pidä myymälä- ja verkkomyynti yhteydessä toisiinsa Shopify-myyntipisteellä . Julkaise eri kanavissa Monikanavaisella integraatiolla tavoitat asiakkaat juuri siellä, missä he selailevat, hakevat tietoa ja tekevät ostoksia. Maailman paras kassavaihe Shopify Checkout on nopea, täysin mukautettavissa ja optimoitu tuomaan enemmän myyntiä. Vähittäis- ja tukkumyynti Kokoa uskollinen asiakaskunta Tavoita oikeat asiakkaat vähemmällä Hanki uusia asiakkaita ja saa vanhat palaamaan integroiduilla markkinointityökaluilla ja hyödyllisellä analytiikalla . Vauhdita kasvua B2B-myynnillä Luo tukkuostajille oma ostokokemus , joka sisältää joustavan hinnoittelun, alennuksia ja erilaiset maksuehdot. Paikallisesti ja globaalisti Kasva ympäri maailman Buy now 🇺🇸 Tilaa hintaan 40,00 $ Buy now 🇺🇸 Tilaa hintaan 125,00 $ Buy now 🇺🇸 Tilaa hintaan 125,00 $ Buy now 🇺🇸 Tilaa hintaan 125,00 $ Buy now 🇺🇸 Tilaa hintaan 125,00 $ Buy now 🇺🇸 Tilaa hintaan 125,00 $ Myy ja toimita tuotteita kaikkialle Shopify helpottaa kansainvälistä kauppaa tuotteiden nopeammista ja edullisemmista toimituksista aina ostokokemuksen lokalisointiin Shopify-markkinatyökaluilla . Tietokoneella ja mobiililaitteilla Pidä ohjat käsissäsi Hallitse kaikkea yhdestä paikasta Täysin keskitetyllä Shopify Adminilla hallitset kaikkea aina yrityksen hallinnosta tuotteiden myyntiin. Johda kauppaasi mistä tahansa Kaikki kaupan pyörittämisessä tarvittavat työkalut kulkevat taskussasi Shopify-mobiilisovelluksessa . Lisää ominaisuuksia sovelluksilla Shopify sisältää perustoiminnot, mutta jos yrityksesi kaipaa enemmän, Shopify App Store tarjoaa yli 13 000 verkkokauppasovellusta. Kehittäjiltä kehittäjille API:den, primitiivien ja työkalujen avulla kehittäjät ja kumppanit voivat rakentaa yrityksille niiden tarvitsemat sovellukset, teemat ja mukautetut myyntipaikat. Hydrogen: Shopifyn headless commerce -kaupankäynnin ratkaisu Luo mukautettuja myyntipaikkoja Laajenna kassavaihetta Rakenna sovelluksia shopify.dev Paras paikka rakentaa menestyvä kauppa Maailman parhaiten konvertoiva kassavaihe Enemmän konversioita 15 % Vahvan ostoaikeen ostajia 150 milj. + Shopify Checkout konvertoi keskimäärin 15 % tehokkaammin kuin muut verkkokauppa-alustat ja tuo brändisi 150 miljoonan ostovalmiin asiakkaan ulottuville. Perustuu ulkoiseen tutkimukseen, jonka toteutti maailmanlaajuinen Big Three -yrityksiin lukeutuva konsultointifirma huhtikuussa 2023. Luotettava ja salamannopea Shopify tuo kauppasi 50 millisekunnin päähän maailman jokaisesta ostajasta ja pystyy käsittelemään eeppisimmätkin tuotepudotukset. Shopify jatkaa innovointia Yli 4 000 maailmanluokan kehittäjää hyödyntää jatkuvasti uusinta teknologiaa, jotta voisit tehdä yrityksestäsi vahvemman, nopeamman ja menestyneemmän. Verkkokauppaa varten suunniteltu tekoäly Shopify Magic auttaa säästämään aikaa tekoälyn avulla esimerkiksi luomalla tuotesisältöä tai antamalla vinkkejä Shopifyn tehokkaaseen hyödyntämiseen. Jatkuvaa innovointia Shopify toimittaa kuuden kuukauden välein yli 150 uutta ominaisuutta ja päivitystä. Ne kaikki ovat esillä Shopify Editions issa. Myynnin aloittaminen on helppoa 01 Lisää ensimmäinen tuotteesi 02 Tee kaupastasi haluamasi näköinen 03 Määritä maksut Tartu tilaisuuteen Shopify Tietoja meistä Uramahdollisuudet Sijoittajat Lehdistö ja media Shopify Partner ‑kumppanit Affiliate-kumppanit Oikeudelliset tiedot Palvelun tila Tuki Kauppiaiden tuki Shopify Help Center Palkkaa Shopify Partner -kumppani Shopify Academy Kehittäjät Shopify.dev API-dokumentaatio Dev Degree Tuotteet Shop Shop Pay Shopify Plus Shopify suurille yrityksille ja organisaatioille Ratkaisut Verkkokaupan rakennustyökalu Verkkosivujen rakennustyökalu Suomi | Suomi Alankomaat Nederlands | English Arabiemiirikunnat English Argentiina Español | English Australia English Belgia Nederlands | German | Français | English Brasilia Português | English Bulgaria Bulgarian | English Chile Español | English Espanja Español | English Etelä-Afrikka English Filippiinit English Hongkong 繁體中文 | English Indonesia Indonesian | English Intia Hindi | English Irlanti English Israel English Italia Italiano | English Itävalta Deutsch | English Japani 日本語 Kanada English | Français Kolumbia Español | English Korea 한국어 | English Kreikka Greek | English Liettua Lithuanian | English Malesia English Meksiko Español | English Nigeria English Norja Norge | English Pakistan English Peru Español | English Portugali Português | English Puola Polski | English Ranska Français | English Romania Romanian | English Ruotsi Svenska | English Saksa Deutsch | English Singapore English Suomi Suomi | English Sveitsi Deutsch | Français | Italiano | English Taiwan 繁體中文 | English Tanska Dansk | English Thaimaa ไทย | English Tšekki Čeština | English Turkki Türkçe | English Unkari Hungarian | English Uusi-Seelanti English Valko-Venäjä Russian | English Yhdistynyt kuningaskunta English Yhdysvallat English | Español (Intl.) | 简体中文 Suomi | Suomi Valitse alue ja kieli Alankomaat Nederlands | English Arabiemiirikunnat English Argentiina Español | English Australia English Belgia Nederlands | German | Français | English Brasilia Português | English Bulgaria Bulgarian | English Chile Español | English Espanja Español | English Etelä-Afrikka English Filippiinit English Hongkong 繁體中文 | English Indonesia Indonesian | English Intia Hindi | English Irlanti English Israel English Italia Italiano | English Itävalta Deutsch | English Japani 日本語 Kanada English | Français Kolumbia Español | English Korea 한국어 | English Kreikka Greek | English Liettua Lithuanian | English Malesia English Meksiko Español | English Nigeria English Norja Norge | English Pakistan English Peru Español | English Portugali Português | English Puola Polski | English Ranska Français | English Romania Romanian | English Ruotsi Svenska | English Saksa Deutsch | English Singapore English Suomi Suomi | English Sveitsi Deutsch | Français | Italiano | English Taiwan 繁體中文 | English Tanska Dansk | English Thaimaa ไทย | English Tšekki Čeština | English Turkki Türkçe | English Unkari Hungarian | English Uusi-Seelanti English Valko-Venäjä Russian | English Yhdistynyt kuningaskunta English Yhdysvallat English | Español (Intl.) | 简体中文 Käyttöehdot Tietosuojakäytäntö Sivustokartta | 2026-01-13T09:29:26 |
https://slack.engineering/2019/ | Engineering at Slack 2019 – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #2019 November 19, 2019 7 min read @Ryan Huber Introducing Nebula, the open source global overlay network from Slack “What is the easiest way to securely connect tens of thousands of computers, hosted at multiple cloud service… November 14, 2019 11 min read @Maude Lemaire A Day in the Life of a Backend Foundation Engineer at Slack 6:00 am While it’s not always easy to get up before seven, particularly when the sun hasn’t risen yet, being… October 23, 2019 8 min read @Anuj Nair Gantry: Slack’s Fast-booting Frontend Framework At any given time, Slack has many product teams working on different features. This allows us to build in… October 18, 2019 8 min read @Tracy Stampfli Client Consistency at Slack: Beyond Libslack Two years ago, I wrote a post about Libslack, Slack’s shared C++ client library. That post described how Slack… September 24, 2019 11 min read @Kyle Stetz Building Dark Mode on Desktop If you’re a dark mode user you might have seen the news: two weeks ago we flipped the switch and gave users dark… September 16, 2019 12 min read @Yingyu Sun @Mike Demmer How Slack Built Shared Channels Written with contributions from the Shared Channels Team. Slack was originally built to be the collaboration hub… September 12, 2019 6 min read @Garrett Miller @Zack Sultan The Gradual Design System: How We Built Slack Kit This post was co-written with Zack Sultan, Lead Product Designer at Slack In 2016, Slack was two years old and… September 4, 2019 7 min read @Ryan Slama @Matt Dzwonczyk Interning on Slack’s Product Security Team The Slack Internship — Matt’s First Time at Slack I’m Matt and I’m a senior Computer Science student at North… Posts pagination 1 2 3 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:26 |
https://wiki.jenkins.io/SUN/Slow-builds-on-Jennings.html | Sun's Hudson deployment : Slow builds on Jennings Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : Slow builds on Jennings Created by Unknown User (kohsuke) , last modified on Jul 08, 2008 Bhakti noticed that GlassFish v3 dev builds run very slowly on jennings. It used to build normally in 5 minutes, but now it doesn't finish after an hour and gets aborted by the time out. Running the same command from the shell on the same machine reproduces the problem. By using jstack while the build is stuck, I was able to obtain the stack dump: Thread 5309: (state = IN_NATIVE) - java.net.SocketInputStream.socketRead0(java.io.FileDescriptor, byte[], int, int, int) @bci=0 (Interpreted frame) - java.net.SocketInputStream.read(byte[], int, int) @bci=84, line=129 (Interpreted frame) - java.io.BufferedInputStream.fill() @bci=175, line=218 (Interpreted frame) - java.io.BufferedInputStream.read1(byte[], int, int) @bci=44, line=256 (Interpreted frame) - java.io.BufferedInputStream.read(byte[], int, int) @bci=49, line=313 (Interpreted frame) - sun.net.www.http.HttpClient.parseHTTPHeader(sun.net.www.MessageHeader, sun.net.ProgressSource, sun.net.www.protocol.http.HttpURLConnection) @bci=51, line=606 (Interpreted frame) - sun.net.www.http.HttpClient.parseHTTP(sun.net.www.MessageHeader, sun.net.ProgressSource, sun.net.www.protocol.http.HttpURLConnection) @bci=30, line=554 (Interpreted frame) - sun.net.www.protocol.http.HttpURLConnection.getInputStream() @bci=280, line=936 (Interpreted frame) - org.apache.maven.wagon.providers.http.LightweightHttpWagon.fillInputData(org.apache.maven.wagon.InputData) @bci=44, line=83 (Interpreted frame) - org.apache.maven.wagon.StreamWagon.getIfNewer(java.lang.String, java.io.File, long) @bci=32, line=94 (Interpreted frame) - org.apache.maven.artifact.manager.DefaultWagonManager.getRemoteFile(org.apache.maven.artifact.repository.ArtifactRepository, java.io.File, java.lang.String, org.apache.maven.wagon.events.TransferListener, java.lang.String, boolean) @bci=344, line=446 (Interpreted frame) - org.apache.maven.artifact.manager.DefaultWagonManager.getArtifact(org.apache.maven.artifact.Artifact, org.apache.maven.artifact.repository.ArtifactRepository) @bci=175, line=347 (Interpreted frame) - org.apache.maven.artifact.resolver.DefaultArtifactResolver.resolve(org.apache.maven.artifact.Artifact, java.util.List, org.apache.maven.artifact.repository.ArtifactRepository, boolean) @bci=447, line=181 (Interpreted frame) - org.apache.maven.artifact.resolver.DefaultArtifactResolver.resolve(org.apache.maven.artifact.Artifact, java.util.List, org.apache.maven.artifact.repository.ArtifactRepository) @bci=5, line=73 (Interpreted frame) - org.apache.maven.artifact.resolver.DefaultArtifactResolver.resolveTransitively(java.util.Set, org.apache.maven.artifact.Artifact, java.util.Map, org.apache.maven.artifact.repository.ArtifactRepository, java.util.List, org.apache.maven.artifact.metadata.ArtifactMetadataSource, org.apache.maven.artifact.resolver.filter.ArtifactFilter, java.util.List) @bci=80, line=294 (Interpreted frame) - org.apache.maven.artifact.resolver.DefaultArtifactResolver.resolveTransitively(java.util.Set, org.apache.maven.artifact.Artifact, java.util.Map, org.apache.maven.artifact.repository.ArtifactRepository, java.util.List, org.apache.maven.artifact.metadata.ArtifactMetadataSource, org.apache.maven.artifact.resolver.filter.ArtifactFilter) @bci=73, line=272 (Interpreted frame) - org.apache.maven.plugin.DefaultPluginManager.resolveTransitiveDependencies(org.apache.maven.execution.MavenSession, org.apache.maven.artifact.resolver.ArtifactResolver, java.lang.String, org.apache.maven.artifact.factory.ArtifactFactory, org.apache.maven.project.MavenProject) @bci=89, line=1238 (Interpreted frame) - org.apache.maven.plugin.DefaultPluginManager.executeMojo(org.apache.maven.project.MavenProject, org.apache.maven.plugin.MojoExecution, org.apache.maven.execution.MavenSession) @bci=190, line=397 (Interpreted frame) - org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoals(java.util.List, java.util.Stack, org.apache.maven.execution.MavenSession, org.apache.maven.project.MavenProject) @bci=184, line=539 (Interpreted frame) - org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoalWithLifecycle(java.lang.String, java.util.Stack, org.apache.maven.execution.MavenSession, java.util.Map, org.apache.maven.project.MavenProject, org.apache.maven.lifecycle.Lifecycle) @bci=28, line=480 (Interpreted frame) - org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoal(java.lang.String, org.apache.maven.execution.MavenSession, org.apache.maven.project.MavenProject) @bci=50, line=459 (Interpreted frame) - org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoalAndHandleFailures(java.lang.String, org.apache.maven.execution.MavenSession, org.apache.maven.project.MavenProject, org.apache.maven.monitor.event.EventDispatcher, java.lang.String, org.apache.maven.execution.ReactorManager, long, java.lang.String) @bci=4, line=311 (Interpreted frame) - org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeTaskSegments(java.util.List, org.apache.maven.execution.ReactorManager, org.apache.maven.execution.MavenSession, org.apache.maven.project.MavenProject, org.apache.maven.monitor.event.EventDispatcher) @bci=554, line=278 (Interpreted frame) - org.apache.maven.lifecycle.DefaultLifecycleExecutor.execute(org.apache.maven.execution.MavenSession, org.apache.maven.execution.ReactorManager, org.apache.maven.monitor.event.EventDispatcher) @bci=90, line=143 (Interpreted frame) - org.apache.maven.DefaultMaven.doExecute(org.apache.maven.execution.MavenExecutionRequest, org.apache.maven.monitor.event.EventDispatcher) @bci=442, line=334 (Interpreted frame) - org.apache.maven.DefaultMaven.execute(org.apache.maven.execution.MavenExecutionRequest) @bci=26, line=125 (Interpreted frame) - org.apache.maven.cli.MavenCli.main(java.lang.String[], org.codehaus.classworlds.ClassWorld) @bci=730, line=280 (Interpreted frame) - sun.reflect.NativeMethodAccessorImpl.invoke0(java.lang.reflect.Method, java.lang.Object, java.lang.Object[]) @bci=0 (Interpreted frame) - sun.reflect.NativeMethodAccessorImpl.invoke(java.lang.Object, java.lang.Object[]) @bci=87, line=39 (Interpreted frame) - sun.reflect.DelegatingMethodAccessorImpl.invoke(java.lang.Object, java.lang.Object[]) @bci=6, line=25 (Interpreted frame) - java.lang.reflect.Method.invoke(java.lang.Object, java.lang.Object[]) @bci=111, line=585 (Interpreted frame) - org.codehaus.classworlds.Launcher.launchEnhanced(java.lang.String[]) @bci=50, line=315 (Interpreted frame) - org.codehaus.classworlds.Launcher.launch(java.lang.String[]) @bci=2, line=255 (Interpreted frame) - org.codehaus.classworlds.Launcher.mainWithExitCode(java.lang.String[]) @bci=99, line=430 (Interpreted frame) - org.codehaus.classworlds.Launcher.main(java.lang.String[]) @bci=1, line=375 (Interpreted frame) It's not clear exactly why, but Maven seems to be blocked on accessing some slow remote repository. This is consistent with the observation that the artifact retrieval like the following lines seem to run slow, too: [INFO] snapshot org.glassfish.common:glassfish-mbeanserver:10.0-SNAPSHOT: checking for updates from glassfish-repository [INFO] snapshot org.glassfish.common:glassfish-mbeanserver:10.0-SNAPSHOT: checking for updates from glassfish-repository-wsinterop [INFO] snapshot org.glassfish.common:glassfish-mbeanserver:10.0-SNAPSHOT: checking for updates from java-dev-repository [INFO] snapshot org.glassfish.common:glassfish-mbeanserver:10.0-SNAPSHOT: checking for updates from repo1.maven.org [INFO] snapshot org.glassfish.common:glassfish-mbeanserver:10.0-SNAPSHOT: checking for updates from maven2.java.net [INFO] snapshot org.glassfish.common:glassfish-mbeanserver:10.0-SNAPSHOT: checking for updates from maven2.java.net-backup [INFO] snapshot org.glassfish.common:amx-api:10.0-SNAPSHOT: checking for updates from glassfish-repository [INFO] snapshot org.glassfish.common:amx-api:10.0-SNAPSHOT: checking for updates from glassfish-repository-wsinterop [INFO] snapshot org.glassfish.common:amx-api:10.0-SNAPSHOT: checking for updates from java-dev-repository [INFO] snapshot org.glassfish.common:amx-api:10.0-SNAPSHOT: checking for updates from repo1.maven.org [INFO] snapshot org.glassfish.common:amx-api:10.0-SNAPSHOT: checking for updates from maven2.java.net [INFO] snapshot org.glassfish.common:amx-api:10.0-SNAPSHOT: checking for updates from maven2.java.net-backup [INFO] snapshot org.glassfish.connectors:connectors-internal-api:10.0-SNAPSHOT: checking for updates from glassfish-repository [INFO] snapshot org.glassfish.connectors:connectors-internal-api:10.0-SNAPSHOT: checking for updates from glassfish-repository-wsinterop [INFO] snapshot org.glassfish.connectors:connectors-internal-api:10.0-SNAPSHOT: checking for updates from java-dev-repository [INFO] snapshot org.glassfish.connectors:connectors-internal-api:10.0-SNAPSHOT: checking for updates from repo1.maven.org [INFO] snapshot org.glassfish.connectors:connectors-internal-api:10.0-SNAPSHOT: checking for updates from maven2.java.net [INFO] snapshot org.glassfish.connectors:connectors-internal-api:10.0-SNAPSHOT: checking for updates from maven2.java.net-backup netstat -p shows that the target is "192.18.49.13" — except that there seems to be no such host. "192.18.49.133" is "wsinterop.sun.com", so that sounds more like it. Don't know why the output is crippled. tcp6 0 0 jennings.SFBay.Su:43163 ::ffff:192.18.49.13:www ESTABLISHED5309/java wsinterop.sun.com is not under heavy load. I browsed the Maven repository in Firefox, but that doesn't seem to show too much lag. last pid: 27109; load avg: 0.03, 0.03, 0.02; up 41+22:28:08 14:56:45 214 processes: 212 sleeping, 1 zombie, 1 on cpu CPU states: 97.7% idle, 0.9% user, 1.4% kernel, 0.0% iowait, 0.0% swap Memory: 3647M phys mem, 1477M free mem, 2047M swap, 2047M free swap PID USERNAME LWP PRI NICE SIZE RES STATE TIME CPU COMMAND 18924 kohsuke 59 59 0 482M 443M sleep 24:19 1.50% java 27109 kohsuke 1 59 0 2628K 1520K cpu 0:00 0.26% top 3886 beuchelt 127 59 0 636M 448M sleep 97:16 0.15% java 3971 beuchelt 132 59 0 524M 416M sleep 97:06 0.15% java 805 ritzmann 59 59 0 259M 149M sleep 45:17 0.08% java 26628 nobody 1 59 0 4804K 2464K sleep 0:00 0.03% httpd 434 root 1 59 0 16M 17M sleep 15:53 0.03% Xorg 26865 nobody 1 59 0 4248K 2508K sleep 0:00 0.03% httpd 26655 nobody 1 59 0 4804K 2464K sleep 0:00 0.03% httpd 26859 nobody 1 59 0 4576K 2536K sleep 0:00 0.03% httpd 26660 nobody 1 59 0 4120K 2412K sleep 0:00 0.03% httpd 26851 nobody 1 59 0 4128K 2400K sleep 0:00 0.02% httpd 16544 beuchelt 17 59 0 148M 40M sleep 8:42 0.02% java 26863 nobody 1 59 0 4416K 2468K sleep 0:00 0.02% httpd 26625 nobody 1 59 0 4548K 2468K sleep 0:00 0.02% httpd Perhaps we just need to fork more Apache processes? Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
https://docs.aws.amazon.com/es_es/AmazonCloudWatch/latest/monitoring/what-is-network-monitor.html | Uso de Network Synthetic Monitor - Amazon CloudWatch Uso de Network Synthetic Monitor - Amazon CloudWatch Documentación Amazon CloudWatch Guía del usuario Características principales Terminología y componentes Requisitos y limitaciones Uso de Network Synthetic Monitor Network Synthetic Monitor ofrece visibilidad del rendimiento de la red que conecta las aplicaciones alojadas en AWS con los destinos en las instalaciones. También permite identificar el origen de cualquier degradación del rendimiento de la red en cuestión de minutos. Network Synthetic Monitor está totalmente administrado por AWS y no necesita ningún agente independiente en los recursos supervisados. Utilice Network Synthetic Monitor para visualizar la pérdida de paquetes y la latencia de sus conexiones de red híbrida, y así establecer alertas y umbrales. Luego, en función de esta información, puede tomar medidas para mejorar la experiencia de sus usuarios finales. Network Synthetic Monitor está pensado para operadores de redes y desarrolladores de aplicaciones que desean obtener información en tiempo real sobre el rendimiento de la red. Características principales de Network Synthetic Monitor Utilice Network Synthetic Monitor para comparar el cambiante entorno de red híbrida con métricas continuas de latencia y pérdida de paquetes en tiempo real. Cuando se conecta mediante AWS Direct Connect, Network Synthetic Monitor puede ayudar a diagnosticar rápidamente la degradación de red dentro de la red de AWS con el indicador de estado de la red (NHI), que Network Synthetic Monitor escribe en la cuenta de Amazon CloudWatch. La métrica NHI es un valor binario basado en una puntuación probabilística sobre si la degradación de la red ocurre dentro de AWS. Network Synthetic Monitor ofrece un enfoque de agentes totalmente administrado para la supervisión, por lo que no es necesario instalar los agentes ni en las VPC ni en las instalaciones. Para comenzar, solo tiene que especificar una subred de VPC y una dirección IP en las instalaciones. Puede establecer una conexión privada entre la VPC y los recursos de Network Synthetic Monitor mediante AWS PrivateLink. Para obtener más información, consulte Uso de CloudWatch, CloudWatch Synthetics y CloudWatch Network Monitoring con los puntos de conexión de VPC de tipo interfaz . Network Synthetic Monitor publica las métricas en CloudWatch Metrics. Puede crear paneles para ver las métricas y también para crear umbrales y alarmas procesables en las métricas específicas de su aplicación. Para obtener más información, consulte Funcionamiento de Network Synthetic Monitor . Terminología y componentes de Network Synthetic Monitor Sondas : una sonda es el tráfico que se envía desde un recurso alojado en AWS a una dirección IP de destino en las instalaciones. Las métricas de Network Synthetic Monitor medidas por la sonda se escriben en la cuenta de CloudWatch para cada sonda que se configura en un monitor. Monitor : el monitor muestra el rendimiento de la red y otros tipos de información sobre el estado del tráfico para el que ha creado sondas de Network Synthetic Monitor. Las sondas se agregan como parte de la creación de un monitor y luego permiten ver la información sobre las métricas de rendimiento de la red mediante el uso del monitor. Al crear un monitor para una aplicación, se agrega un recurso alojado en AWS como origen de red. A continuación, Network Synthetic Monitor crea una lista de todos los sondeos posibles entre los recursos alojados en AWS y las direcciones IP de destino. Se deben seleccionar los destinos para los que desea supervisar el tráfico. Origen de red de AWS : un origen de red de AWS es el origen de AWS de una sonda de monitor, la cual es una subred en una de sus VPC. Destino : un destino es el objetivo en su red local para el origen de red de AWS. Un destino es una combinación de sus direcciones IP en las instalaciones, los protocolos de red, los puertos y el tamaño de los paquetes de red. Tanto las direcciones IPv4 como las IPv6 son compatibles. Requisitos de Network Synthetic Monitor y limitaciones A continuación se resumen los requisitos y las limitaciones de Network Synthetic Monitor. Para conocer las cuotas (o límites) específicos, consulte Network Synthetic Monitor . Las subredes del monitor deben pertenecer a la misma cuenta que el monitor. Network Synthetic Monitor no proporciona una conmutación por error automática de red en caso de que se produzca un problema con la red AWS. Se aplica un cargo por cada sonda que cree. Para obtener más información sobre los precios, consulte Precios de Network Synthetic Monitor . JavaScript está desactivado o no está disponible en su navegador. Para utilizar la documentación de AWS, debe estar habilitado JavaScript. Para obtener más información, consulte las páginas de ayuda de su navegador. Convenciones del documento Rol vinculado a servicios Funcionamiento de Network Synthetic Monitor ¿Le ha servido de ayuda esta página? - Sí Gracias por hacernos saber que estamos haciendo un buen trabajo. Si tiene un momento, díganos qué es lo que le ha gustado para que podamos seguir trabajando en esa línea. ¿Le ha servido de ayuda esta página? - No Gracias por informarnos de que debemos trabajar en esta página. Lamentamos haberle defraudado. Si tiene un momento, díganos cómo podemos mejorar la documentación. | 2026-01-13T09:29:27 |
https://www.shopify.com/no | Shopify Norge Hopp til innhold Løsninger Start Start bedriften din . Bygg opp merkevaren din Lag nettstedet ditt . Redigeringsprogram for nettbutikken Juster i butikken . Butikktemaer Finn bedriftsapper . Shopify App Store Selg Selg produktene dine . Selg på nett eller fysisk Ta betalt av kunder . Førsteklasses kasse Selg på nettet . Utvid virksomheten din på nett Selg på tvers av kanaler . Nå flere millioner kunder og øk salget Selg globalt . Internasjonale salg Selg engros/direkte . Business-to-business (B2B) Marked Markedsfør virksomheten . Nå ut til og behold kunder Markedsfør på SoMe . Integrasjoner med sosiale medier Ta vare på kundene . Shopify Email Kjenn målgruppen din . Få kundeinnsikt Administrer Slik administrerer du bedriften din . Spor salg, bestillinger og analyser Mål ytelsen din . Analyse og rapportering Administrer lager og bestillinger . Lagerbeholdning og bestillingsadministrering Shopify-utviklere . Bygg med Shopifys kraftige API-er Plus . En handelsløsning for voksende digitale merkevarer Alle produkter . Utforsk alle Shopify-produkter og -funksjoner Prissetting Ressurser Hjelp og støtte Hjelp og støtte . Få døgnåpen brukerstøtte Shopify-blogg . Tips for forretningsstrategi Essensielle verktøy Firmanavngenerator . Logooppretter . Arkivbilder . QR-kodegenerator . Logg inn Få en prøvestart Få en prøvestart Bli den neste store trenden Bli den neste butikken folk står i kø for store trenden nye stjernen siste snakkisen enhjørningen merkevaren alle velger globale suksessen unike veiviseren butikken folk står i kø for Drøm stort, tenkt raskt og kom langt hos Shopify. Få en prøvestart Hvorfor vi lager Shopify Plattformen bak ekte grundere Selg på nett. Selg også selv. Selg lokalt og globalt. Selg direkte og engros. Selg på data og mobil. glossier.com thesill.com vacation.inc aurabora.com kitandace.com supersmalls.com happymondaycoffee.com onlyny.com jp.bonaventura.shop rowingblazers.com kirrinfinch.com brooklinen.com shop.a-morir.com carawayhome.com thirstyturtl.com Til alt fra grundere og store selskaper Mange millioner forhandlere, både store og små, har samlet solgt for over 1 tusen trilliarder USD hos Shopify. Kom raskt i gang Selgeren Megan Bre Camp drev for seg selv da hun startet Summer Solace Tallow for å bringe økologiske lys og hudpleieprodukter ut på nett. Hun selger også på bondens marked lokalt. Voks grenseløst Merkevaren Gymshark vokste fra en garasje til global gigant med over 500 millioner USD i årlig omsetning. De selger treningsklær. Sett nye standarder Mattel har god hjelp fra Shopify for bedrifter når de selger ikoniske leker rett til kunder i hele verden. Velg et abonnement som passer På nett, og når du selger selv Selg her, der og overalt Få en kjempefin butikk som er laget for å selge. Design raskt med KI, velg et stilig tema eller bygg den opp i ditt eget bilde, slik at du har full kontroll. POS i person Selg rett til kunder og synkroniser alle salg på nett og i butikk med Shopify POS . Legg ut i alle kanaler Vær på plass når kunder blar, søker og handler. Velg derfor integrasjon med flere kanaler . Drives av verdens beste kasse Shopify Checkout er rask, gir rom for helt egendefinert bruk og er optimalisert for flere salg. Direkte og engros Finn de faste kundene Nå fram til gode kunder, uten at du betaler mer Skaff nye kunder og se til at de stadig vender tilbake når du gjør bruk av integrerte markedsføringsverktøy og innsiktsfulle analyser . Få ny vekst, sats også på B2B Gjør opplevelsen helt unik for engroskunder med fleksible priser, rabatter og betalingsvilkår. Lokalt og globalt Global vekst Buy now 🇺🇸 Bestilling for 40,00 USD Buy now 🇺🇸 Bestilling for 125,00 USD Buy now 🇺🇸 Bestilling for 125,00 USD Buy now 🇺🇸 Bestilling for 125,00 USD Buy now 🇺🇸 Bestilling for 125,00 USD Buy now 🇺🇸 Bestilling for 125,00 USD Selg varer og send ut i hele verden Shopify gjør det enklere å selge internasjonalt. Det gjelder alt fra raskere og rimeligere levering av produkter til lokalt tilpassede opplevelser med Shopify Markets . Datamaskin og mobil Få ting unna Forvalt alt på ett sted Du har alltid full kontroll på alt fra daglig drift til kundebehandling i butikken når du har en helt sentralisert Shopify-administrator . Driv butikken fra hvor som helst Ha alt for hånden via Shopifys mobilapp . Her får du alle funksjonene du trenger. Apper til alt annet Shopify har alt klart for en god start, men trenger bedriften noe ekstra, har du også Shopify App Store . Her får du over 13 000 apper for handel, og de byr på alt mellom himmel og jord av spesialfunksjoner. Laget av utviklere, laget for utviklere API-er, byggeklosser og verktøy åpner opp for at utviklere og partnere får laget akkurat de appene, temaene og frontene som bedriftene ser etter. Hydrogen: Shopifys rammeverk for Headless Commerce Lag egendefinerte butikkfronter Utvid kassen Lag apper shopify.dev Ingen andre steder, er bedre for å skape noe nytt Ingen kasse er bedre for stadig nye salg Enda flere stadig nye kunder 15 % Veldig kjøpelystne kunder 150 mill. + Shopify Checkout betyr vanligvis 15 % flere stadig nye salg enn andre plattformer for handel og eksponerer din merkevare for 150 millioner kjøpelystne kunder. Basert på en ekstern undersøkelse gjennomført hos et av de tre store globale konsulentbyråene (april, 2023) Bunnsolid og lynraskt Shopify plasserer butikken bare 50 millisekunder unna alle kundene på hele jorden. Shopify har også kapasitet til å håndtere selv de aller mest episke produktlanseringene. Shopify betyr alltid innovasjon Vi stiller med over 4000 utviklere i verdensklasse. De bruker alltid den nyeste teknologien for å gjøre bedriften sterkere og raskere. Det betyr suksess for deg. KI designet for handel Shopify Magic tapper av kraften fra KI for å spare tid for deg. Det gjelder om du lager produktinnhold eller trenger forslag til hvordan du får mest mulig ut av Shopify. Ustoppelig innovasjon Hver sjette måned sender Shopify ut over 150 nye funksjoner og oppgraderinger – og alle vises frem i Shopify Editions . Så lett å gå i gang og selge 01 Legg ut det første produktet 02 Juster i butikken 03 Konfigurer betalinger Prøv da vel! 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https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/cloudwatch-dashboard-sharing.html | CloudWatch Dashboards teilen - Amazon CloudWatch CloudWatch Dashboards teilen - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Für die Freigabe eines Dashboards erforderliche Berechtigungen Berechtigungen, die Personen erteilt werden, für die Sie das Dashboard freigeben Zulassen, dass Personen, mit denen Sie Inhalte teilen, zusammengesetzte Alarme sehen Zulassen von Benutzern, für die Sie freigeben, zum Anzeigen von Protokolltabellenwidgets Erlauben von Benutzern, für die Sie freigeben, dass benutzerdefinierte Widgets angezeigt werden Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. CloudWatch Dashboards teilen Sie können Ihre CloudWatch Dashboards mit Personen teilen, die keinen direkten Zugriff auf Ihr AWS Konto haben. Auf diese Weise können Sie Dashboards für Teams, für Stakeholder und für Personen außerhalb Ihrer Organisation freigeben. Sie können Dashboards sogar auf großen Bildschirmen in Teambereichen anzeigen oder in Wikis und anderen Webseiten einbetten. Warnung Alle Personen, für die Sie das Dashboard freigeben, erhalten die Berechtigungen, die unter Berechtigungen, die Personen erteilt werden, für die Sie das Dashboard freigeben für das Konto aufgelistet sind. Wenn Sie das Dashboard öffentlich freigeben, hat jeder, der über den Link zum Dashboard verfügt, diese Berechtigungen. Die ec2:DescribeTags Berechtigungen cloudwatch:GetMetricData und können nicht auf bestimmte Metriken oder EC2 Instanzen beschränkt werden, sodass die Personen mit Zugriff auf das Dashboard alle CloudWatch Metriken sowie die Namen und Tags aller EC2 Instanzen im Konto abfragen können. Wenn Sie Dashboards freigeben, können Sie auf drei Arten festlegen, wer das Dashboard anzeigen kann: Teilen Sie ein einzelnes Dashboard und geben Sie maximal fünf E-Mail-Adressen der Personen an, die das Dashboard anzeigen können. Jeder dieser Benutzer erstellt sein eigenes Kennwort, das er eingeben muss, um das Dashboard anzuzeigen. Teilen Sie ein einzelnes Dashboard öffentlich, damit jeder, der über den Link verfügt, das Dashboard anzeigen kann. Geben Sie alle CloudWatch Dashboards in Ihrem Konto frei und geben Sie einen Drittanbieter für Single Sign-On (SSO) für den Zugriff auf das Dashboard an. Alle Benutzer, die Mitglieder der Liste dieses SSO-Anbieters sind, können auf alle Dashboards im Konto zugreifen. Um dies zu ermöglichen, integrieren Sie den SSO-Anbieter in Amazon Cognito. Der SSO-Anbieter muss Security Assertion Markup Language (SAML) unterstützen. Weitere Informationen zu Amazon Cognito erhalten Sie unter Was ist Amazon Cognito? . Für die gemeinsame Nutzung eines Dashboards fallen keine Gebühren an, aber für Widgets innerhalb eines gemeinsamen Dashboards fallen Gebühren zu Standardtarifen an. CloudWatch Weitere Informationen zur CloudWatch Preisgestaltung finden Sie unter CloudWatch Amazon-Preise . Wenn Sie ein Dashboard freigeben, werden Amazon-Cognito-Ressourcen in der Region USA Ost (Nord-Virginia) erstellt. Wichtig Ändern Sie keine Ressourcennamen und -identifikatoren, die durch den Prozess der Dashboardfreigabe erstellt wurden. Dazu gehören Amazon-Cognito- und IAM-Ressourcen. Das Ändern dieser Ressourcen kann zu unerwarteten und fehlerhaften Funktionen der gemeinsamen Dashboards führen. Anmerkung Wenn Sie ein Dashboard mit Metrik-Widgets mit Alarmanmerkungen freigeben, sehen die Personen, mit denen Sie das Dashboard freigeben, diese Widgets nicht. Stattdessen wird ein leeres Widget mit Text angezeigt, das besagt, dass das Widget nicht verfügbar ist. Sie werden weiterhin Metrik-Widgets mit Alarmanmerkungen sehen, wenn Sie das Dashboard selbst anzeigen. Für die Freigabe eines Dashboards erforderliche Berechtigungen Um Dashboards mit einer der folgenden Methoden freigeben zu können und um zu sehen, welche Dashboards bereits freigegeben wurden, müssen Sie als Benutzer oder mit einer IAM-Rolle angemeldet sein, die über bestimmte Berechtigungen verfügt. Um Dashboards freigeben zu können, muss Ihr Benutzer oder Ihre IAM-Rolle über die Berechtigungen verfügen, die in der folgenden Richtlinie aufgeführt sind: { "Effect": "Allow", "Action": [ "iam:CreateRole", "iam:CreatePolicy", "iam:AttachRolePolicy", "iam:PassRole" ], "Resource": [ "arn:aws:iam::*:role/service-role/CWDBSharing*", "arn:aws:iam::*:policy/*" ] }, { "Effect": "Allow", "Action": [ "cognito-idp:*", "cognito-identity:*", ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "cloudwatch:GetDashboard", ], "Resource": [ "*" // or the ARNs of dashboards that you want to share ] } Um sehen zu können, welche Dashboards freigegeben sind, aber keine Dashboards freigeben können, kann ein Benutzer oder eine IAM-Rolle eine Richtlinie wie die folgende enthalten: { "Effect": "Allow", "Action": [ "cognito-idp:*", "cognito-identity:*" ], "Resource": [ "*" ] }, { "Effect": "Allow", "Action": [ "cloudwatch:ListDashboards", ], "Resource": [ "*" ] } Berechtigungen, die Personen erteilt werden, für die Sie das Dashboard freigeben Wenn Sie ein Dashboard teilen, CloudWatch wird im Konto eine IAM-Rolle erstellt, die den Personen, mit denen Sie das Dashboard teilen, die folgenden Berechtigungen gewährt: cloudwatch:GetInsightRuleReport cloudwatch:GetMetricData cloudwatch:DescribeAlarms ec2:DescribeTags Warnung Allen Personen, mit denen Sie das Dashboard teilen, werden diese Berechtigungen für das Konto erteilt. Wenn Sie das Dashboard öffentlich freigeben, hat jeder, der über den Link zum Dashboard verfügt, diese Berechtigungen. Die ec2:DescribeTags Berechtigungen cloudwatch:GetMetricData und können nicht auf bestimmte Metriken oder EC2 Instanzen beschränkt werden, sodass die Personen mit Zugriff auf das Dashboard alle CloudWatch Metriken sowie die Namen und Tags aller EC2 Instanzen im Konto abfragen können. Wenn Sie ein Dashboard teilen, beschränken die CloudWatch erstellten Berechtigungen standardmäßig nur den Zugriff auf die Alarme und Contributor Insights-Regeln, die sich auf dem Dashboard befinden, wenn es geteilt wird. Wenn Sie dem Dashboard neue Alarme oder Contributor-Insights-Regeln hinzufügen und diese auch von den Personen angezeigt werden sollen, für die Sie das Dashboard freigegeben haben, müssen Sie die Richtlinie aktualisieren, um diese Ressourcen zuzulassen. Zulassen, dass Personen, mit denen Sie Inhalte teilen, zusammengesetzte Alarme sehen Wenn Sie ein Dashboard freigeben, sind die zusammengesetzten Alarm-Widgets auf dem Dashboard standardmäßig nicht für die Personen sichtbar, für die Sie das Dashboard freigeben. Damit zusammengesetzte Alarm-Widgets sichtbar sind, müssen Sie der Dashboard-Freigaberichtlinie eine DescribeAlarms: * -Berechtigung hinzufügen. Diese Berechtigung würde wie folgt aussehen: { "Effect": "Allow", "Action": "cloudwatch:DescribeAlarms", "Resource": "*" } Warnung Die vorhergehende Richtlinienanweisung gewährt Zugriff auf alle Alarme im Konto. Um den Gültigkeitsbereich von cloudwatch:DescribeAlarms zu reduzieren, müssen Sie eine Deny -Anweisung verwenden. Sie können der Richtlinie eine Deny Erklärung hinzufügen und die ARNs Alarme angeben, die Sie sperren möchten. Diese Zugriffsverweigerungs-Anweisung sollte folgendermaßen oder ähnlich aussehen: { "Effect": "Allow", "Action": "cloudwatch:DescribeAlarms", "Resource": "*" }, { "Effect": "Deny", "Action": "cloudwatch:DescribeAlarms", "Resource": [ "SensitiveAlarm1ARN", "SensitiveAlarm1ARN" ] } Zulassen von Benutzern, für die Sie freigeben, zum Anzeigen von Protokolltabellenwidgets Wenn Sie ein Dashboard teilen, sind die CloudWatch Logs Insights-Widgets, die sich auf dem Dashboard befinden, standardmäßig nicht für die Personen sichtbar, mit denen Sie das Dashboard teilen. Dies wirkt sich sowohl auf CloudWatch Logs Insights-Widgets aus, die jetzt existieren, als auch auf alle Widgets, die dem Dashboard hinzugefügt werden, nachdem Sie es geteilt haben. Wenn Sie möchten, dass diese Personen CloudWatch Logs-Widgets sehen können, müssen Sie der IAM-Rolle Berechtigungen für die gemeinsame Nutzung von Dashboards hinzufügen. Damit die Personen, mit denen Sie ein Dashboard teilen, die CloudWatch Logs-Widgets sehen können Öffnen Sie die CloudWatch Konsole unter https://console.aws.amazon.com/cloudwatch/ . Wählen Sie im Navigationsbereich Dashboards aus. Wählen Sie den Namen des freigegebenen Dashboards aus. Klicken Sie auf Aktionen , Freigeben von Dashboards . Wählen Sie unter Ressourcen die Option IAM-Rolle aus. Wählen Sie in der IAM-Konsole die angezeigte Richtlinie aus. Wählen Sie Richtlinie bearbeiten und fügen Sie die folgende Anweisung hinzu. In der neuen Erklärung empfehlen wir, dass Sie nur die ARNs Protokollgruppen angeben, die Sie gemeinsam nutzen möchten. Sehen Sie sich das folgende Beispiel an. { "Effect": "Allow", "Action": [ "logs:FilterLogEvents", "logs:StartQuery", "logs:StopQuery", "logs:GetLogRecord", "logs:DescribeLogGroups" ], "Resource": [ " SharedLogGroup1ARN ", " SharedLogGroup2ARN " ] }, Wählen Sie Save Changes . Wenn Ihre IAM-Richtlinie für die gemeinsame Nutzung von Dashboards bereits diese fünf Berechtigungen * als Ressource beinhaltet, empfehlen wir Ihnen dringend, die Richtlinie zu ändern und nur die ARNs Protokollgruppen anzugeben, die Sie gemeinsam nutzen möchten. Wenn Ihr Resource -Abschnitt für diese Berechtigungen beispielsweise wie folgt lautet: "Resource": "*" Ändern Sie die Richtlinie so, dass nur ARNs die Protokollgruppen angegeben werden, die Sie gemeinsam nutzen möchten, wie im folgenden Beispiel: "Resource": [ " SharedLogGroup1ARN ", " SharedLogGroup2ARN " ] Erlauben von Benutzern, für die Sie freigeben, dass benutzerdefinierte Widgets angezeigt werden Wenn Sie ein Dashboard freigeben, sind die benutzerdefinierten Widgets, die sich auf dem Dashboard befinden, standardmäßig für die Personen, für die Sie das Dashboard freigeben, nicht sichtbar. Dies betrifft sowohl benutzerdefinierte Widgets, die jetzt vorhanden sind, als auch alle, die dem Dashboard hinzugefügt werden, nachdem Sie es freigegeben haben. Wenn diese Personen benutzerdefinierte Widgets anzeigen können, müssen Sie der IAM-Rolle Berechtigungen für die Dashboard-Freigabe hinzufügen. So lassen Sie den Personen, für die Sie ein Dashboard freigeben, die benutzerdefinierten Widgets anzeigen Öffnen Sie die CloudWatch Konsole unter https://console.aws.amazon.com/cloudwatch/ . Wählen Sie im Navigationsbereich Dashboards aus. Wählen Sie den Namen des freigegebenen Dashboards aus. Klicken Sie auf Aktionen , Freigeben von Dashboards . Wählen Sie unter Ressourcen die Option IAM-Rolle aus. Wählen Sie in der IAM-Konsole die angezeigte Richtlinie aus. Wählen Sie Richtlinie bearbeiten und fügen Sie die folgende Anweisung hinzu. In der neuen Anweisung empfehlen wir, dass Sie nur die ARNs Lambda-Funktionen angeben, die Sie gemeinsam nutzen möchten. Sehen Sie sich das folgende Beispiel an. { "Sid": "Invoke", "Effect": "Allow", "Action": [ "lambda:InvokeFunction" ], "Resource": [ "LambdaFunction1ARN", "LambdaFunction2ARN" ] } Wählen Sie Save Changes . Wenn Ihre IAM-Richtlinie für die gemeinsame Nutzung von Dashboards diese Berechtigung bereits * als Ressource beinhaltet, empfehlen wir Ihnen dringend, die Richtlinie zu ändern und nur die ARNs Lambda-Funktionen anzugeben, die Sie gemeinsam nutzen möchten. Wenn Ihr Resource -Abschnitt für diese Berechtigungen beispielsweise wie folgt lautet: "Resource": "*" Ändern Sie die Richtlinie so, dass nur die ARNs benutzerdefinierten Widgets angegeben werden, die Sie teilen möchten, wie im folgenden Beispiel: "Resource": [ " LambdaFunction1ARN ", " LambdaFunction2ARN " ] JavaScript ist in Ihrem Browser nicht verfügbar oder deaktiviert. Zur Nutzung der AWS-Dokumentation muss JavaScript aktiviert sein. Weitere Informationen finden auf den Hilfe-Seiten Ihres Browsers. Dokumentkonventionen Aufheben von Verknüpfungen von Diagrammen Freigabe eines Dashboards für bestimmte Benutzer Hat Ihnen diese Seite geholfen? – Ja Vielen Dank, dass Sie uns mitgeteilt haben, dass wir gute Arbeit geleistet haben! Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, was wir richtig gemacht haben, damit wir noch besser werden? Hat Ihnen diese Seite geholfen? – Nein Vielen Dank, dass Sie uns mitgeteilt haben, dass diese Seite überarbeitet werden muss. Es tut uns Leid, dass wir Ihnen nicht weiterhelfen konnten. Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, wie wir die Dokumentation verbessern können? | 2026-01-13T09:29:27 |
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https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/Solution-Tomcat-On-EC2.html | CloudWatch Lösung: Tomcat-Workload auf Amazon EC2 - Amazon CloudWatch CloudWatch Lösung: Tomcat-Workload auf Amazon EC2 - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Voraussetzungen Vorteile Kosten CloudWatch Agentenkonfiguration für diese Lösung Bereitstellung des Agenten für Ihre Lösung Erstellen des Tomcat-Lösungs-Dashboards Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. CloudWatch Lösung: Tomcat-Workload auf Amazon EC2 Diese Lösung hilft Ihnen bei der Konfiguration der out-of-the-box Metrikerfassung mithilfe von CloudWatch Agenten für Tomcat-Server, die auf Instanzen ausgeführt werden. EC2 Darüber hinaus hilft sie Ihnen bei der Einrichtung eines vorkonfigurierten Dashboards CloudWatch . Allgemeine Informationen zu allen CloudWatch Observability-Lösungen finden Sie unter. CloudWatch Observability-Lösungen Themen Voraussetzungen Vorteile Kosten CloudWatch Agentenkonfiguration für diese Lösung Bereitstellung des Agenten für Ihre Lösung Erstellen des Tomcat-Lösungs-Dashboards Voraussetzungen Diese Lösung ist für folgende Bedingungen relevant: Unterstützte Versionen: Tomcat-Versionen 9, 10.1 und 11 (Beta) Berechnung: Amazon EC2 Unterstützt bis zu 500 EC2 Instanzen für alle Tomcat-Workloads in einem bestimmten AWS-Region Aktuelle Version des Agenten CloudWatch Der SSM-Agent ist auf der EC2 Instanz installiert Anmerkung AWS Systems Manager (SSM-Agent) ist auf einigen Amazon Machine Images (AMIs) vorinstalliert, die von vertrauenswürdigen Drittanbietern AWS bereitgestellt werden. Wenn der Agent nicht installiert ist, können Sie ihn manuell installieren, indem Sie das Verfahren für Ihren Betriebssystemtyp verwenden. Manuelles Installieren und Deinstallieren des SSM-Agenten auf Instances für Linux EC2 Manuelles Installieren und Deinstallieren des SSM-Agenten auf EC2 Instanzen für macOS Manuelles Installieren und Deinstallieren des SSM-Agenten auf EC2 Instanzen für Windows Server Vorteile Die Lösung bietet Tomcat-Server-Überwachung und wertvolle Erkenntnisse für die folgenden Anwendungsfälle: Erkennen von Tomcat-Serverfehlern und Leistungsproblemen. Überwachen des Netzwerkverkehrs auf Datenübertragungsprobleme. Nachverfolgen von Threadnutzung und aktiven Benutzersitzungen Analysieren der zugrunde liegende JVM-Leistung für den Tomcat-Server. Im Folgenden sind die Hauptvorteile der Lösung aufgeführt: Automatisiert die Erfassung von Metriken für Apache Tomcat und die zugrunde liegende JVM mithilfe der CloudWatch Agentenkonfiguration, wodurch die manuelle Instrumentierung entfällt. Bietet ein vorkonfiguriertes, konsolidiertes CloudWatch Dashboard für Apache Tomcat- und JVM-Metriken. Das Dashboard verarbeitet automatisch Metriken von neuen EC2 Tomcat-Instanzen, die mit der Lösung konfiguriert wurden, auch wenn diese Metriken bei der ersten Erstellung des Dashboards noch nicht vorhanden waren. Außerdem können Sie die Metriken zum einfacheren Fokussieren und Verwalten in logische Anwendungen gruppieren. Die nachfolgende Abbildung ist ein Beispiel eines Dashboards dieser Lösung. Kosten Diese Lösung erstellt und nutzt Ressourcen in Ihrem Konto. Ihnen wird die Standardnutzung berechnet, einschließlich der folgenden Kosten: Alle vom CloudWatch Agenten gesammelten Metriken werden als benutzerdefinierte Metriken berechnet. Die Anzahl der von dieser Lösung verwendeten Metriken hängt von der Anzahl der EC2 Hosts ab. Jeder für die Lösung konfigurierte Tomcat-Host veröffentlicht insgesamt 27 Metriken plus eine Metrik ( disk_used_percent ), wobei die Anzahl der Metriken von der Anzahl der Datenträgerpfade für den Host abhängt. Ein benutzerdefiniertes Dashboard. API-Operationen, die vom CloudWatch Agenten zur Veröffentlichung der Metriken angefordert wurden. Bei der Standardkonfiguration für diese Lösung ruft der CloudWatch Agent die PutMetricData einmal pro Minute auf. Das bedeutet, dass die PutMetricData API innerhalb eines 30-Tage-Monats für jeden EC2 Host aufgerufen 30*24*60=43,200 wird. Weitere Informationen zur CloudWatch Preisgestaltung finden Sie unter CloudWatch Amazon-Preise . Mithilfe des Preisrechners können Sie die ungefähren monatlichen Kosten für die Nutzung dieser Lösung abschätzen. Um den Preisrechner zur Schätzung Ihrer monatlichen Kosten für die Lösung zu verwenden Öffnen Sie den CloudWatch Amazon-Preisrechner . Geben Sie im Abschnitt Metriken für die Anzahl der Metriken den Wert (27 + average number of disk paths per EC2 host) * number of EC2 instances configured for this solution ein. Geben Sie im APIs Abschnitt Anzahl der API-Anfragen den Wert ein 43200 * number of EC2 instances configured for this solution . Standardmäßig führt die Lösung für jeden EC2 Host einen PutMetricData Vorgang pro Minute durch. Geben Sie im Abschnitt Dashboards und Alarme für Anzahl der Dashboards 1 ein. Sie finden Ihre geschätzten monatlichen Kosten unten im Preisrechner. CloudWatch Agentenkonfiguration für diese Lösung Der CloudWatch Agent ist eine Software, die kontinuierlich und autonom auf Ihren Servern und in containerisierten Umgebungen ausgeführt wird. Es sammelt Metriken, Logs und Traces aus Ihrer Infrastruktur und Ihren Anwendungen und sendet sie an CloudWatch X-Ray. Weitere Informationen über den CloudWatch Agenten finden Sie unter Erfassen Sie mithilfe des CloudWatch Agenten Metriken, Protokolle und Traces . Die Agentenkonfiguration in dieser Lösung erfasst die grundlegenden Metriken für Tomcat, JVM und. EC2 Der CloudWatch Agent kann so konfiguriert werden, dass er standardmäßig mehr JVM-Metriken sammelt, als das Dashboard anzeigt. Eine Liste aller Tomcat-Metriken, die Sie erfassen können, finden Sie unter Erfassen von Tomcat-Metriken . Eine Liste aller JVM-Metriken, die Sie erfassen können, finden Sie unter Erfassen von JVM-Metriken . Eine Liste der EC2 Amazon-Metriken finden Sie unter Vom CloudWatch Agenten auf Linux- und macOS-Instances gesammelte Metriken . Offenlegen von JMX-Ports für den Tomcat-Server Der CloudWatch Agent verwendet JMX, um die Metriken zu sammeln, die sich auf den Tomcat-Server und den JVM-Prozess beziehen. Um das zu ermöglichen, müssen Sie den JMX-Port von Ihren Servern aus verfügbar machen. Um einen JMX-Port für die Überwachung und Verwaltung zu aktivieren, würden Sie die Systemeigenschaften für Ihre Tomcat-Server definieren. Sie können die Umgebungsvariable CATALINA_OPTS verwenden, um die erforderlichen Systemeigenschaften für Tomcat festzulegen. Sehen Sie sich in den Startup-Skripts und Konfigurationsdateien Ihres Tomcat-Servers an, wo Sie die Umgebungsvariable am besten festlegen können. Achten Sie darauf, eine ungenutzte Portnummer anzugeben. Nach dem Ändern müssen Sie den Server neu starten. export CATALINA_OPTS="-Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.port=<<port-number>> -Dcom.sun.management.jmxremote.ssl=false -Dcom.sun.management.jmxremote.authenticate=false" In diesem Beispiel wird für nicht authentifiziertes JMX konfiguriert. Wenn Sie aus Sicherheitsgründen JMX mit Kennwortauthentifizierung oder SSL für den Fernzugriff aktivieren policies/requirements müssen, finden Sie in der JMX-Dokumentation nach, um die erforderliche Eigenschaft festzulegen. Führen Sie ps aux | grep jmxremote.port aus, um den JMX-Port zu überprüfen. Die Ergebnisse sollten zeigen, dass der JMX-Port für JVM-Prozesse festgelegt wurde. Agentenkonfiguration für Tomcat-Lösung Die vom Agenten zu erfassenden Metriken werden in der Agentenkonfiguration definiert. Die Lösung bietet Agenten-Konfigurationen zum Erfassen der empfohlenen Metriken mit geeigneten Dimensionen für das Dashboard der Lösung. Die Schritte zur Bereitstellung der Lösung werden weiter unten in Bereitstellung des Agenten für Ihre Lösung beschrieben. Die folgenden Informationen beschreiben, wie Sie die Agentenkonfiguration für Ihre Umgebung anpassen können. Sie müssen einige Teile der folgenden Agentenkonfiguration für Ihre Umgebung anpassen: Die JMX-Portnummer ist die Portnummer, die Sie im vorherigen Abschnitt dieser Dokumentation konfiguriert haben. Die Portnummer steht in der Zeile endpoint in der Konfiguration. AppName – Das wird als Dimension für die erfassten Tomcat-Anwendungsmetriken verwendet. Geben Sie einen aussagekräftigen Namen ein, der die Gruppierung für die Instances darstellt, auf denen die Tomcat-Anwendung ausgeführt wird. ProcessGroupName – Dies wird als Dimension für die für Tomcat-Hosts erfassten JVM-Metriken verwendet. Geben Sie den Wert an, der mit AppName oben identisch ist. Das ermöglicht die Anzeige der JVM-Metriken derselben Tomcat-App-Gruppe als Server-Metriken im Lösungs-Dashboard. Wenn beispielsweise zwei Tomcat-Apps in derselben Anwendung ausgeführt werden AWS-Konto, eine für die billing-system Anwendung und eine für die order-system Anwendung, können Sie die ProcessGroupName Dimensionen AppName und in der Agentenkonfiguration jeder Instanz entsprechend festlegen. Legen Sie für die billing-system -Anwendungs-Instances AppName=billing-system und ProcessGroupName=billing-system fest. Legen Sie für die order-system -Anwendungs-Instances AppName=order-system und ProcessGroupName=order-system fest. Wenn Sie diese Richtlinien befolgen, gruppiert die Lösung die Metriken automatisch auf der Grundlage der Dimensionen AppName und ProcessGroupName . Das Dashboard umfasst Drop-down-Optionen, mit denen Sie Metriken für eine bestimmte Tomcat-Anwendung auswählen und aufrufen können, sodass sich die Leistung einzelner Anwendungen separat überwachen lässt. Agentenkonfiguration für Tomcat-Hosts Verwenden Sie die folgende CloudWatch Agentenkonfiguration für EC2 Instanzen, in denen Ihre Tomcat-Anwendungen bereitgestellt werden. Die Konfiguration wird als Parameter im Parameterspeicher von SSM gespeichert, wie weiter unten in beschrieben Schritt 2: Speichern Sie die empfohlene CloudWatch Agentenkonfigurationsdatei im Systems Manager Parameter Store . AppName Ersetzen Sie es durch einen aussagekräftigen Namen, der für die Tomcat-Anwendung steht, zu der die Instanzen gehören. port-number Ersetzen Sie ihn durch den JMX-Port Ihres Tomcat-Servers. Wenn JMX mit Kennwortauthentifizierung oder SSL für den Remotezugriff aktiviert wurde, finden Sie je nach Bedarf unter Erfassung von Java Management Extensions (JMX)-Metriken weitere Informationen zur Einrichtung von TLS oder zur Autorisierung in der Agentenkonfiguration. Die in dieser Konfiguration angezeigten EC2 Metriken (Konfiguration, die außerhalb des JMX-Blocks angezeigt wird) funktionieren nur für Linux- und macOS-Instances. Wenn Sie Windows-Instances nutzen, können Sie diese Metriken in der Konfiguration weglassen. Informationen zu Metriken, die auf Windows-Instances erfasst wurden, finden Sie unter Vom CloudWatch Agenten auf Windows Server-Instanzen gesammelte Metriken . { "metrics": { "namespace": "CWAgent", "append_dimensions": { "InstanceId": "$ { aws:InstanceId}" }, "metrics_collected": { "jmx": [ { "endpoint": "localhost: port-number ", "tomcat": { "measurement": [ "tomcat.sessions", "tomcat.errors", "tomcat.processing_time", "tomcat.traffic", "tomcat.max_time", "tomcat.request_count", "tomcat.threads" ] }, "append_dimensions": { "AppName": " AppName " } }, { "endpoint": "localhost: port-number ", "jvm": { "measurement": [ "jvm.classes.loaded", "jvm.gc.collections.count", "jvm.gc.collections.elapsed", "jvm.memory.heap.committed", "jvm.memory.heap.max", "jvm.memory.heap.used", "jvm.memory.nonheap.committed", "jvm.memory.nonheap.max", "jvm.memory.nonheap.used", "jvm.threads.count" ] }, "append_dimensions": { "ProcessGroupName": " AppName " } } ], "disk": { "measurement": [ "used_percent" ] }, "mem": { "measurement": [ "used_percent" ] }, "swap": { "measurement": [ "used_percent" ] }, "netstat": { "measurement": [ "tcp_established", "tcp_time_wait" ] } } } } Bereitstellung des Agenten für Ihre Lösung Je nach Anwendungsfall gibt es verschiedene Ansätze für die Installation des CloudWatch Agenten. Wir empfehlen die Nutzung von Systems Manager für diese Lösung. Es bietet eine Konsolenerfahrung und erleichtert die Verwaltung einer Flotte verwalteter Server innerhalb eines einzigen AWS Kontos. Die Anweisungen in diesem Abschnitt verwenden Systems Manager und sind für den Fall vorgesehen, dass der CloudWatch Agent nicht mit vorhandenen Konfigurationen ausgeführt wird. Sie können überprüfen, ob der CloudWatch Agent ausgeführt wird, indem Sie die Schritte unter befolgen Stellen Sie sicher, dass der CloudWatch Agent läuft . Wenn Sie den CloudWatch Agenten bereits auf den EC2 Hosts ausführen, auf denen die JVM-Anwendung bereitgestellt ist, und die Agentenkonfigurationen verwalten, können Sie die Anweisungen in diesem Abschnitt überspringen und Ihren bestehenden Bereitstellungsmechanismus verwenden, um die Konfiguration zu aktualisieren. Stellen Sie sicher, dass Sie die Agentenkonfiguration von JVM mit Ihrer vorhandenen Agentenkonfiguration zusammenführen und dann diese zusammengeführte Konfiguration bereitstellen. Wenn Sie Systems Manager verwenden, um die Konfiguration für den CloudWatch Agenten zu speichern und zu verwalten, können Sie die Konfiguration mit dem vorhandenen Parameterwert zusammenführen. Weitere Informationen finden Sie unter CloudWatch Agent-Konfigurationsdateien verwalten . Anmerkung Wenn Sie Systems Manager zur Bereitstellung der folgenden CloudWatch Agentenkonfigurationen verwenden, werden alle vorhandenen CloudWatch Agentenkonfigurationen auf Ihren EC2 Instanzen ersetzt oder überschrieben. Sie können diese Konfiguration an Ihre individuelle Umgebung oder Ihren jeweiligen Anwendungsfall anpassen. Die in dieser Lösung definierten Metriken sind die Mindestwerte, die für das empfohlene Dashboard erforderlich sind. Der Bereitstellungsprozess umfasst die folgenden Schritte: Schritt 1: Stellen Sie sicher, dass die EC2 Zielinstanzen über die erforderlichen IAM-Berechtigungen verfügen. Schritt 2: Speichern Sie die empfohlene Agentenkonfigurationsdatei in Systems Manager Parameter Store. Schritt 3: Installieren Sie den CloudWatch Agenten mithilfe eines CloudFormation Stacks auf einer oder mehreren EC2 Instances. Schritt 4: Stellen Sie sicher, dass das Agenten-Setup richtig konfiguriert ist Schritt 1: Stellen Sie sicher, dass die EC2 Zielinstanzen über die erforderlichen IAM-Berechtigungen verfügen Sie müssen Systems Manager die Erlaubnis erteilen, den CloudWatch Agenten zu installieren und zu konfigurieren. Sie müssen dem CloudWatch Agenten auch die Erlaubnis erteilen, Telemetriedaten von Ihrer EC2 Instanz an zu CloudWatch veröffentlichen. Stellen Sie sicher, dass der IAM-Rolle, die der Instance zugewiesen ist, die Amazon IAM-Richtlinien CloudWatchAgentServerPolicy und die Amazon SSMManaged InstanceCore IAM-Richtlinien angehängt sind. Nachdem die Rolle erstellt wurde, fügen Sie sie Ihren EC2 Instances hinzu. Folgen Sie den Schritten unter Eine Instance mit einer IAM-Rolle starten , um beim Starten einer neuen EC2 Instance eine Rolle zuzuweisen. Um einer vorhandenen EC2 Instance eine Rolle zuzuweisen, folgen Sie den Schritten unter Eine IAM-Rolle an eine Instance anhängen . Schritt 2: Speichern Sie die empfohlene CloudWatch Agentenkonfigurationsdatei im Systems Manager Parameter Store Parameter Store vereinfacht die Installation des CloudWatch Agenten auf einer EC2 Instanz, indem Konfigurationsparameter sicher gespeichert und verwaltet werden, sodass keine hartcodierten Werte erforderlich sind. Das gestaltet den Bereitstellungsprozess sicherer und flexibler und ermöglicht eine zentrale Verwaltung und einfachere Aktualisierungen von Konfigurationen über mehrere Instances hinweg. Gehen Sie wie folgt vor, um die empfohlene CloudWatch Agent-Konfigurationsdatei als Parameter im Parameter Store zu speichern. Um die CloudWatch Agenten-Konfigurationsdatei als Parameter zu erstellen Öffnen Sie die AWS Systems Manager Konsole unter https://console.aws.amazon.com/systems-manager/ . Wählen Sie im Navigationsbereich Anwendungsmanagement , Parameter Store aus. Befolgen Sie diese Schritte, um einen neuen Parameter für die Konfiguration zu erstellen. Wählen Sie Parameter erstellen aus. Geben Sie im Feld Name einen Namen ein, mit dem Sie in späteren Schritten auf die CloudWatch Agenten-Konfigurationsdatei verweisen werden. Beispiel, AmazonCloudWatch-Tomcat-Configuration . (Optional) Geben Sie in das Feld Beschreibung eine Beschreibung für den Parameter ein. Wählen Sie für Parameterstufe die Option Standard aus. Wählen Sie unter Type (Typ) die Option String (Zeichenfolge) aus. Wählen Sie als Datentyp die Option Text aus. Fügen Sie in das Feld Wert den entsprechenden JSON-Block ein, der unter Agentenkonfiguration für Tomcat-Hosts aufgeführt war. Passen Sie den Wert und die Portnummer der Gruppierungsdimension wie beschrieben an. Wählen Sie Parameter erstellen aus. Schritt 3: Installieren Sie den CloudWatch Agenten und wenden Sie die Konfiguration mithilfe einer CloudFormation Vorlage an Sie können AWS CloudFormation damit den Agenten installieren und ihn so konfigurieren, dass er die CloudWatch Agentenkonfiguration verwendet, die Sie in den vorherigen Schritten erstellt haben. Um den CloudWatch Agenten für diese Lösung zu installieren und zu konfigurieren Öffnen Sie den CloudFormation Quick Create Stack Wizard über diesen Link: https://console.aws.amazon.com/cloudformation/Home? #/ stacks/quickcreate?templateURL=https://aws-observability-solutions-prod-us-east-1.s3.us-east-1.amazonaws.com/CloudWatchAgent/CFN/v1.0.0/cw agent-installation-template -1.0.0.json . Sorgen Sie dafür, dass die ausgewählte Region auf der Konsole die Region ist, in der die JVM-Workload ausgeführt wird. Geben Sie unter Stack-Name einen Namen für diesen Stack, z. B. CWAgentInstallationStack , ein. Gehen Sie im Abschnitt Parameter wie folgt vor: Geben Sie für CloudWatchAgentConfigSSM den Namen des Systems Manager Manager-Parameters für die Agentenkonfiguration ein, die Sie zuvor erstellt haben, z. B. AmazonCloudWatch-Tomcat-Configuration Um die Ziel-Instances auszuwählen, haben Sie zwei Optionen. Geben Sie für InstanceIds eine durch Kommas getrennte Liste der Instanzen eine Liste der Instanzen IDs an, IDs in denen Sie den CloudWatch Agenten mit dieser Konfiguration installieren möchten. Sie können eine einzelne Instance oder mehrere Instances auflisten. Wenn Sie die Bereitstellung in großem Umfang durchführen, können Sie die TagKey und die entsprechenden Optionen angeben, sodass alle EC2 Instanzen mit diesem TagValue Tag und Wert als Ziel ausgewählt werden sollen. Wenn Sie eine angeben TagKey , müssen Sie eine entsprechende angeben TagValue . (Geben Sie für eine Auto Scaling Scaling-Gruppe aws:autoscaling:groupName für die TagKey und den Namen der Auto Scaling Scaling-Gruppe an, die TagValue auf allen Instances innerhalb der Auto Scaling Scaling-Gruppe bereitgestellt werden soll.) Wenn Sie InstanceIds sowohl die als auch die TagKeys Parameter angeben, haben die InstanceIds Vorrang und die Tags werden ignoriert. Überprüfen Sie die Einstellungen und wählen Sie dann Stack erstellen aus. Wenn Sie die Vorlagendatei zuerst bearbeiten möchten, um sie anzupassen, wählen Sie im Assistenten zum Erstellen von Stacks die Option Eine Vorlagendatei hochladen aus, um die bearbeitete Vorlage hochzuladen. Weitere Informationen finden Sie unter Einen Stack auf der CloudFormation Konsole erstellen . Sie können den folgenden Link verwenden, um die Vorlage herunterzuladen: https://aws-observability-solutions-prod-us-east-1.s3.us-east-1.amazonaws.com/CloudWatchAgent/CFN/v1.0.0/cw- agent-installation-template -1.0.0.json . Anmerkung Nach Abschluss dieses Schritts wird dieser Systems Manager Manager-Parameter den CloudWatch Agenten zugeordnet, die in den Zielinstanzen ausgeführt werden. Dies bedeutet, dass: Wenn der Systems-Manager-Parameter gelöscht wird, wird der Agent gestoppt. Wenn der Systems-Manager-Parameter bearbeitet wird, werden die Konfigurationsänderungen automatisch in der geplanten Häufigkeit, die standardmäßig 30 Tage beträgt, für den Agenten übernommen. Wenn Sie Änderungen an diesem Systems-Manager-Parameter sofort anwenden möchten, müssen Sie diesen Schritt erneut ausführen. Weitere Informationen über Zuordnungen finden Sie unter Arbeiten mit Zuordnungen in Systems Manager . Schritt 4: Stellen Sie sicher, dass das Agenten-Setup richtig konfiguriert ist Sie können überprüfen, ob der CloudWatch Agent installiert ist, indem Sie die Schritte unter befolgen Stellen Sie sicher, dass der CloudWatch Agent läuft . Wenn der CloudWatch Agent nicht installiert ist und nicht ausgeführt wird, stellen Sie sicher, dass Sie alles richtig eingerichtet haben. Stellen Sie sicher, dass Sie der EC2 Instanz eine Rolle mit den richtigen Berechtigungen zugewiesen haben, wie unter beschrieben Schritt 1: Stellen Sie sicher, dass die EC2 Zielinstanzen über die erforderlichen IAM-Berechtigungen verfügen . Stellen Sie sicher, dass Sie JSON für den Systems-Manager-Parameter korrekt konfiguriert haben. Führen Sie die Schritte unter Fehlerbehebung bei der Installation des CloudWatch Agenten mit CloudFormation aus. Wenn alles korrekt eingerichtet ist, sollten Sie sehen, auf welcher Tomcat-Metriken veröffentlicht werden. CloudWatch Sie können in der CloudWatch Konsole nachsehen, ob sie veröffentlicht wurden. Um zu überprüfen, ob Tomcat-Metriken veröffentlicht werden CloudWatch Öffnen Sie die CloudWatch Konsole unter. https://console.aws.amazon.com/cloudwatch/ Wählen Sie Metriken , Alle Metriken aus. Vergewissern Sie sich, dass Sie die Region ausgewählt haben, in der Sie die Lösung bereitgestellt haben, und wählen Sie Benutzerdefinierte Namespaces ,. CWAgent Suchen Sie nach den Metriken, die im Abschnitt zur Agentenkonfiguration dieses Dokuments erwähnt werden, z. B. tomcat.errors . Wenn Sie Ergebnisse für diese Metriken sehen, werden die Metriken unter veröffentlicht. CloudWatch Erstellen des Tomcat-Lösungs-Dashboards Auf diesem Dashboard werden die neu ausgegebenen Metriken dargestellt, wobei sowohl der Tomcat-Anwendungsserver als auch die zugrunde liegende JVM angezeigt werden. Dieses Dashboard bietet eine Übersicht über den Zustand Ihres Tomcat-Workloads mit den wichtigsten Faktoren. In der Ansicht der wichtigsten Faktoren wird das Top-10-pro-Metrik-Widget angezeigt. Auf diese Weise erkennen Sie Ausreißer auf einen Blick. Das Dashboard bietet auch einen Überblick über den Cluster, indem Metriken für alle Instances aggregiert und präsentiert werden und so der allgemeine Zustand und der Betriebszustand des Clusters auf hoher Ebene zusammengefasst wird. Das Lösungs-Dashboard zeigt keine EC2 Metriken an. Um EC2 Metriken anzuzeigen, müssen Sie das EC2 automatische Dashboard verwenden, um die EC2 Verkaufsmetriken zu sehen, und das EC2 Konsolen-Dashboard verwenden, um die vom CloudWatch Agenten gesammelten EC2 Metriken zu sehen. Weitere Informationen zu automatischen Dashboards für finden Sie AWS-Services unter. Anzeigen eines CloudWatch-Dashboards für einen einzelnen AWS-Service Um das Dashboard zu erstellen, können Sie die folgenden Optionen nutzen. Verwenden Sie die CloudWatch Konsole, um das Dashboard zu erstellen. Verwenden Sie die AWS CloudFormation Konsole, um das Dashboard bereitzustellen. Laden Sie die AWS CloudFormation Infrastruktur als Code herunter und integrieren Sie sie als Teil Ihrer Continuous Integration (CI) -Automatisierung. Wenn Sie die CloudWatch Konsole zum Erstellen eines Dashboards verwenden, können Sie eine Vorschau des Dashboards anzeigen, bevor Sie es erstellen und bezahlen. Anmerkung Das CloudFormation in dieser Lösung erstellte Dashboard zeigt Metriken aus der Region an, in der die Lösung bereitgestellt wird. Stellen Sie sicher, dass Sie den CloudFormation Stack in der Region erstellen, in der Ihre Tomcat-Metriken veröffentlicht werden. Wenn Sie einen anderen benutzerdefinierten Namespace als CWAgent in der CloudWatch Agentenkonfiguration angegeben haben, müssen Sie die CloudFormation Vorlage für das Dashboard so ändern, dass sie durch den von Ihnen verwendeten benutzerdefinierten Namespace CWAgent ersetzt wird. Um das Dashboard über die Konsole zu erstellen CloudWatch Anmerkung In Lösungs-Dashboards werden derzeit nur Metriken zur Garbage Collection angezeigt, die sich auf den G1 Garbage Collector beziehen. Dabei handelt es sich um den Standard-Collector für die neuesten Java-Versionen. Wenn Sie einen anderen Garbage-Collection-Algorithmus verwenden, sind die Widgets, die sich auf die Garbage Collection beziehen, leer. Sie können diese Widgets jedoch anpassen, indem Sie die CloudFormation Dashboard-Vorlage ändern und den entsprechenden Garbage-Collection-Typ auf die Namensdimension der Metriken anwenden, die sich auf die Garbage-Collection beziehen. Wenn Sie beispielsweise die parallele Garbage Collection verwenden, ändern Sie den Wert name=\"G1 Young Generation\" auf name=\"Parallel GC\" (bei der Garbage-Collection-Anzahlmetrik jvm.gc.collections.count ). Öffnen Sie die CloudWatch Konsole „ Dashboard erstellen“ über diesen Link: Home? https://console.aws.amazon.com/cloudwatch/ #dashboards? ApacheTomcatOnEcDashboardTemplate= 2&referrer=os-catalog. Sorgen Sie dafür, dass die ausgewählte Region auf der Konsole die Region ist, in der die JVM-Workload ausgeführt wird. Geben Sie einen Namen für das Dashboard ein und wählen Sie Dashboard erstellen . Um dieses Dashboard leicht von ähnlichen Dashboards in anderen Regionen zu unterscheiden, empfehlen wir, den Namen der Region in den Namen des Dashboards aufzunehmen, z. B. TomcatDashboard-us-east-1 . Zeigen Sie eine Vorschau des Dashboards an und wählen Sie Speichern aus, um das Dashboard zu erstellen. Um das Dashboard zu erstellen über CloudFormation Öffnen Sie den Assistenten CloudFormation zum schnellen Erstellen von Stacks über diesen Link: https://console.aws.amazon.com/cloudformation/Home? #/ stacks/quickcreate?templateURL=https://aws-observability-solutions-prod-us-east-1.s3.us-east-1.amazonaws.com/Tomcat_EC2/CloudWatch/CFN/v1.0.0/dashboard -template-1.0.0.json . Sorgen Sie dafür, dass die ausgewählte Region auf der Konsole die Region ist, in der die JVM-Workload ausgeführt wird. Geben Sie unter Stack-Name einen Namen für diesen Stack, z. B. TomcatDashboard-us-east-1 , ein. Geben Sie im Abschnitt Parameter den Namen des Dashboards unter dem Parameter an. DashboardName Um dieses Dashboard leicht von ähnlichen Dashboards in anderen Regionen zu unterscheiden, empfehlen wir, den Namen der Region in den Namen des Dashboards aufzunehmen, z. B. TomcatDashboard-us-east-1 . Bestätigen Sie die Zugriffsmöglichkeiten für Transformationen unter Funktionen und Transformationen . Beachten Sie, dass dadurch CloudFormation keine IAM-Ressourcen hinzugefügt werden. Überprüfen Sie die Einstellungen und wählen Sie dann Stack erstellen aus. Wenn der Stack-Status CREATE_COMPLETE lautet, wählen Sie unter dem erstellten Stack die Registerkarte Ressourcen und dann den Link unter Physische ID aus, um zum Dashboard zu gelangen. Sie können auch in der CloudWatch Konsole auf das Dashboard zugreifen, indem Sie im linken Navigationsbereich der Konsole Dashboards auswählen und den Namen des Dashboards unter Benutzerdefinierte Dashboards suchen. Wenn Sie die Vorlagendatei bearbeiten möchten, um sie für beliebige Zwecke anzupassen, können Sie im Assistenten zum Erstellen von Stacks die Option Eine Vorlagendatei hochladen auswählen, um die bearbeitete Vorlage hochzuladen. Weitere Informationen finden Sie unter Einen Stack auf der CloudFormation Konsole erstellen . Sie können diesen Link verwenden, um die Vorlage herunterzuladen: https://aws-observability-solutions-prod-us-east-1.s3.us-east-1.amazonaws.com/Tomcat_EC2/CloudWatch/CFN/v1.0.0/dashboard-template-1.0.0.json . Anmerkung In Lösungs-Dashboards werden derzeit nur Metriken zur Garbage Collection angezeigt, die sich auf den G1 Garbage Collector beziehen. Dabei handelt es sich um den Standard-Collector für die neuesten Java-Versionen. Wenn Sie einen anderen Garbage-Collection-Algorithmus verwenden, sind die Widgets, die sich auf die Garbage Collection beziehen, leer. Sie können diese Widgets jedoch anpassen, indem Sie die CloudFormation Dashboard-Vorlage ändern und den entsprechenden Garbage-Collection-Typ auf die Namensdimension der Messwerte anwenden, die sich auf die Müllsammlung beziehen. Wenn Sie beispielsweise die parallele Garbage Collection verwenden, ändern Sie den Wert name=\"G1 Young Generation\" auf name=\"Parallel GC\" (bei der Garbage-Collection-Anzahlmetrik jvm.gc.collections.count ). Erste Schritte mit dem Tomcat-Überwachungs-Dashboard Hier finden Sie ein paar Aufgaben, die Sie mit dem neuen Tomcat-Dashboard ausprobieren können. Mit diesen Aufgaben können Sie prüfen, ob das Dashboard ordnungsgemäß funktioniert, und Sie erhalten praktische Erfahrung mit der Überwachung einer Tomcat-Anwendung. Wenn Sie diese Optionen ausprobieren, werden Sie sich mit der Navigation im Dashboard und der Interpretation der visualisierten Metriken vertraut machen. Verwenden der Drop-down-Liste Das Dashboard bietet oben eine Drop-down-Liste, mit der Sie die spezifische Tomcat-Anwendung, die Sie überwachen möchten, filtern und auswählen können. Um Metriken für eine bestimmte Tomcat-Anwendung anzusehen, wählen Sie den Namen der Anwendung in der Drop-down-Liste Tomcat-App aus. Überprüfen des Zustands der Anwendung Suchen Sie im Bereich App-Übersicht nach den Widgets Anforderungen , Fehler und Fehlerrate . Diese bieten eine allgemeine Zusammenfassung der Anwendungsleistung bei der Anforderungsverarbeitung. Suchen Sie nach einer ungewöhnlich hohen Anzahl oder Raten von Fehlern, die auf zu untersuchende Probleme hinweisen könnten. Überwachen der Bearbeitung von Anforderungen Suchen Sie im Abschnitt Bearbeitungszeit von Anforderungen nach den Widgets Max. Bearbeitungszeit und Gesamtzeit für die Bearbeitung aller Anforderungen . Diese Metriken helfen Ihnen dabei, potenzielle Leistungsengpässe bei der Bearbeitung von Anforderungen zu erkennen. Suchen Sie nach Servern, die im Vergleich zu anderen deutlich höhere maximale Verarbeitungszeiten haben. Analysieren des Netzwerkverkehrs Suchen Sie im Abschnitt Netzwerkverkehr nach den Widgets Gesendeter Datenverkehr und Empfangener Datenverkehr . Hier wird die Datenmenge angezeigt, die von der Anwendung über das Netzwerk gesendet und empfangen wird. Ein unerwartet hohes Datenverkehrsaufkommen könnte auf mögliche Probleme mit der Netzwerkauslastung oder auf eine ineffiziente Datenübertragung hinweisen. Untersuchen der Threadnutzung Suchen Sie im Abschnitt Sitzungen und Threads nach den Widgets Anzahl aktiver Threads , Anzahl der Threads und Sitzungen . Diese Metriken bieten Einblicke in das Thread-Management der Anwendung und die aktiven Benutzersitzungen. Suchen Sie nach Servern mit einer ungewöhnlich hohen Anzahl ausgelasteter Threads oder Sitzungen, was auf mögliche Ressourcenbeschränkungen hinweisen könnte. JavaScript ist in Ihrem Browser nicht verfügbar oder deaktiviert. Zur Nutzung der AWS-Dokumentation muss JavaScript aktiviert sein. Weitere Informationen finden auf den Hilfe-Seiten Ihres Browsers. Dokumentkonventionen Kafka-Workload auf EC2 EC2 Gesundheit Hat Ihnen diese Seite geholfen? – Ja Vielen Dank, dass Sie uns mitgeteilt haben, dass wir gute Arbeit geleistet haben! Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, was wir richtig gemacht haben, damit wir noch besser werden? Hat Ihnen diese Seite geholfen? – Nein Vielen Dank, dass Sie uns mitgeteilt haben, dass diese Seite überarbeitet werden muss. Es tut uns Leid, dass wir Ihnen nicht weiterhelfen konnten. Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, wie wir die Dokumentation verbessern können? | 2026-01-13T09:29:27 |
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https://slack.engineering/2017/ | Engineering at Slack 2017 – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #2017 December 6, 2017 14 min read @Slack Engineering Scaling Slack’s Job Queue Slack uses a job queue system for business logic that is too time-consuming to run in the context of a web… October 30, 2017 13 min read @Charlie Hess Growing Pains: Migrating Slack’s Desktop App to BrowserView Recently Slack on the desktop has been going through an awkward adolescence. Instead of flailing limbs and pitch… October 11, 2017 9 min read @Mina Markham Rebuilding slack.com In August, we released a major redesign of slack.com, and we want to give you a peek behind-the-scenes.… September 27, 2017 9 min read @Tracy Stampfli LibSlack: The C++ Library at the Foundation of Our Client Application Architecture Slack ships its client application on many different platforms — we currently support Mac, Windows, Linux, iOS,… September 12, 2017 8 min read @Scott Sandler Localizing Slack Localization is so easy! …said no one ever. This week, we launched French, German, and Spanish localization in… August 15, 2017 12 min read @Michael Hahn Evolving API Pagination at Slack At Slack, the size and scope of the data we expose via our APIs has changed dramatically since the product first… July 31, 2017 10 min read @Eric Vierhaus @Todd Wirth Maximum Warp: Building Migrations for Slack Enterprise Grid Slack Enterprise Grid lifted off in January 2017, allowing Slack to power the work behind even the largest and… July 20, 2017 10 min read @Brenda Jin Technical Leadership: Getting Started The Individual Contributor path begins with Leading Self Before I became a software engineer, I thought that the… Posts pagination 1 2 3 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://www.linkedin.com/products/progress-software-progress-flowmon/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_image-click | Progress Flowmon | LinkedIn Skip to main content LinkedIn Progress Software 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 Progress Flowmon Network Monitoring Software by Progress Software See who's skilled in this Add as skill Learn more Report this product About Flowmon Networks empowers businesses to manage and secure their computer networks confidently. Through our high performance network monitoring technology and lean-forward behavior analytics, IT pros worldwide benefit from absolute network traffic visibility to enhance network & application performance and deal with modern cyber threats. Driven by a passion for technology, we are leading the way of NetFlow/IPFIX network monitoring that is high performing, scalable and easy to use. The world’s largest businesses, internet service providers, government entities or even small and midsize companies rely on our solutions to take control over their networks, keep order and overcome uncertainty. With our solution recognized by Gartner, we are one of the fastest growing companies in the industry. This product is intended for Technical Engineer Sales Consultant Solutions Developer System Specialist Security Professional Media Products media viewer No more previous content Make your network transparent and secured Flowmon allows you to pinpoint the root cause of network problems, gives you a complete network visibility and spots security threats with ease thanks to its AI-engine and unmatched flexibility. Context-aware investigation Functional versatility Visualize Network Traffic, Identify Issues & Prevent Exploits Flowmon named a value leader for NPM No more next content Featured customers of Progress Flowmon Aspire Technology Solutions Information Technology & Services 9,780 followers SEGA Computer Games 60,215 followers Equinix Internet Publishing 549,152 followers Eurona Telecommunications 8,223 followers Coop Retail 173,677 followers Cigna Healthcare Hospitals and Health Care 802,755 followers GÉANT Computer Networking Products 15,480 followers Tietoevry IT Services and IT Consulting 481,586 followers Show more Show less Similar products NMS NMS Network Monitoring Software Network Operations Center (NOC) Network Operations Center (NOC) Network Monitoring Software Arbor Sightline Arbor Sightline Network Monitoring Software TEMS™ Suite TEMS™ Suite Network Monitoring Software ASM ASM Network Monitoring Software ONES (Open Networking Enterprise Suite) ONES (Open Networking Enterprise Suite) Network Monitoring Software Sign in to see more Show more Show less Progress Software products Kendo UI Kendo UI Component Content Management Systems (CCMS) Progress Chef Progress Chef DevOps Software Progress DataDirect Progress DataDirect Cloud Integration Software Progress Kemp LoadMaster Progress Kemp LoadMaster Load Balancing Software Progress Kinvey Progress Kinvey Low-Code Development Platforms Progress MarkLogic Progress MarkLogic Software Development Kits (SDK) Progress MOVEit Progress MOVEit Managed File Transfer (MFT) Software Progress NativeChat Progress NativeChat Chatbot Software Progress OpenEdge Progress OpenEdge Integrated Development Environments (IDE) 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 | 2026-01-13T09:29:27 |
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By Linda Rosencrance Jan 12, 2026 11 mins Careers IT Skills and Training IT Strategy opinion In an AI-perfect world, it’s time to prove you’re human By Mike Elgan Jan 9, 2026 6 mins Generative AI IT Skills and Training Technology Industry interview ‘A wild future’: How economists are handling AI uncertainty in forecasts By Agam Shah Jan 8, 2026 8 mins Generative AI IT Strategy Technology Industry news analysis CES 2026: AI compute sees a shift from training to inference By Maria Korolov Jan 8, 2026 5 mins CES Events Generative AI opinion In the US, the death of expertise By Steven Vaughan-Nichols Jan 7, 2026 5 mins Government Innovation Technology Industry tip An instant Android search upgrade By JR Raphael Jan 7, 2026 8 mins Android Google Productivity Software how-to How to use timeline view in Google Sheets By Howard Wen Jan 6, 2026 12 mins Collaboration Software Google Sheets Google Workspace feature Building end-to-end workflows with Microsoft 365 Copilot By Pat Brans Jan 5, 2026 9 mins Generative AI Microsoft Microsoft 365 opinion For Apple in '26, it's time to take the 'Snow Leopard' approach to OS updates By Ryan Faas Jan 2, 2026 5 mins Apple MacOS iPad IT in-depth news analysis AI backlash forces a reality check: humans are as important as ever Companies that are successfully using AI tools and services get the most from the technology by embracing and integrating it — not by simply using it to replace their workforce. By Agam Shah Jan 13, 2026 5 mins Artificial Intelligence Generative AI IT Skills and Training news After AI review: Google stops dangerous health advice There is a risk that sick people believe they are healthy. By Mikael Markander Jan 12, 2026 2 mins Artificial Intelligence Generative AI news Google launches new AI protocol for e-commerce The UCP protocol will first appear in instant checkout features in Google's AI mode in Search and in the Gemini app. By Viktor Eriksson Jan 12, 2026 2 mins E-commerce Services Generative AI Google news India may require smartphone manufacturers to disclose source code The industry organization MAIT is reported to have told the country's authorities that this is not possible. By Viktor Eriksson Jan 12, 2026 2 mins Laws and Regulations Mobile Security news analysis AI PCs to gain speed, cut cloud costs — and help workers upskill Enterprise users are still trying to figure out how to get the most from AI PCs, but specialized hardware and enabling software are starting to mesh. By Agam Shah Jan 12, 2026 6 mins Computers Desktop PCs Windows PCs news Apple confirms 'multi-year' Google Gemini AI partnership It's working with Google to bolster ongoing efforts to roll out AI-infused tools and services this year, including a smarter Siri voice assistant. By Jonny Evans Jan 12, 2026 3 mins Apple Artificial Intelligence Generative AI news EU looks to bolster its open-source sector to counter US cloud dominance With geopolitical tensions on the rise, European leaders are looking for options and want feedback about how to proceed. By Matthew Finnegan Jan 12, 2026 3 mins Government Laws and Regulations Markets opinion India could grab for iPhone source code — or worse Apple, Samsung, and others are resisting what they see as government over reach. By Jonny Evans Jan 12, 2026 4 mins Apple Mobile Security iOS Security feature What exactly is an AI factory? At CES this year, the concept was bandied around a lot in different contexts. Is it a literal factory? A data center? A software stack? Or is it something else? By Maria Korolov Jan 12, 2026 4 mins CES Data Center Automation Events opinion Should there be a financial penalty for ignoring IT? IT often gets all kinds of pushback from line-of-business chiefs, CFOs, COOs — you get the picture. But when IT warns of a potential massive data leak, and everyone disregards the warning, there’s no shared risk. If IT happened to be right, it’s time anyone who ignored their instructions share the pain. By Evan Schuman Jan 12, 2026 4 mins IT Strategy Markets Technology Industry feature Windows 11 Insider Previews: What’s in the latest build? Get the latest info on new preview builds of Windows 11 as they roll out to Windows Insiders. Now updated for Build 26220.7535 for the Dev and Beta Channels, released on Jan. 9, 2026. By Preston Gralla Jan 12, 2026 77 mins Business Small and Medium Business Windows 11 feature Microsoft 365: A guide to the updates Get the latest info on new features, bug fixes, and security updates for Microsoft 365/Office 365 for Windows as they roll out from Microsoft. Now updated for Version 2512 (Build 19530.20138), released on Jan. 8, 2026. By Preston Gralla Jan 12, 2026 38 mins Microsoft 365 Microsoft Office Office Suites Show more Show less IT careers feature Best Places to Work in IT 2026 Our 32nd annual report finds IT leaders leaning into a people-first approach amid AI-driven disruption. By Best Places to Work in IT Team Dec 9, 2025 20 mins Careers IT Leadership IT Skills and Training 2-Minute Tech Briefing AI Threatens Bank Jobs, Nvidia Licenses Groq, Gmail Changes | Ep. 32 Today’s 2-Minute Tech Briefing from the New York Stock Exchange covers three IT headlines: Morgan Stanley warns over 200,000 European banking jobs could vanish by 2030 as AI and branch closures accelerate. Nvidia licenses Groq IP and hires talent, not acquiring it. Google may add Gmail address changes via aliases. Jan 7, 2026 2 mins Banking Gmail Nvidia Ransomware Guilty Pleas, Cheaper AI, Meta Deal | Ep. 31 Jan 6, 2026 2 mins Artificial Intelligence Cybercrime Ransomware Inbox AI, buggy AI code, and “slop” | Ep. 30 Dec 23, 2025 2 mins Artificial Intelligence Code Security WhatsApp GhostPairing, Server Revenues Surge, Gemini Flash Debuts | Ep. 29 Dec 22, 2025 2 mins Chatbots Google Servers See all videos Explore a topic Generative AI Office Suites Collaboration Software Productivity Software Windows Android Apple Augmented Reality Emerging Technology Mobile Remote Work Artificial Intelligence Operating Systems Careers View all topics All topics Close Browse all topics and categories below. Generative AI Office Suites Collaboration Software Productivity Software Windows Android Apple Augmented Reality Emerging Technology Mobile Remote Work Artificial Intelligence Operating Systems Careers IT Leadership IT Management IT Operations Industry Cloud Computing Computers and Peripherals Data Center Enterprise Applications Networking Security Vendors and Providers Spotlight: Setting the 2026 IT agenda Articles Buyer’s Guide Given the rapid pace of technology change today, IT leaders are setting their short-term agendas with agility, flexibility, and tangible business outcomes in mind. This month’s topic leans on Foundry’s original Tech Priorities research and external research, along with conversations with IT leaders to uncover enterprise technology trends for the year ahead. Automating, streamlining, and modernizing IT operations is a must as IT teams struggle with skill and staff shortages and increasing demands. A wide variety of tech vendors have solutions aimed at bring IT operations into the AI age. View All Today in Tech video What are ambient agents? Why AI that acts will redefine automation at work Within the agentic AI space, there’s a new generation of ‘ambient agents’ that are emerging – AI tools that observe, decide and then act across the enterprise without needing a prompt. In this episode of Today in Tech, host Keith Shaw interviews Bhavin Shah, CEO of Moveworks, about how these proactive agents will transform everything from IT support to HR compliance and software license management. Jan 12, 2026 47 mins Artificial Intelligence Generative AI The AI divide is growing for SMBs — Here’s how they can still win Jan 8, 2026 35 mins Artificial Intelligence Generative AI Is AI killing stock photography or saving It? 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By Jonny Evans Jan 9, 2026 55 mins Apple Operating Systems iOS news Enterprises still aren’t getting IAM right By Taryn Plumb Jan 8, 2026 6 mins Artificial Intelligence Identity and Access Management Security podcast AI Threatens Bank Jobs, Nvidia Licenses Groq, Gmail Changes | Ep. 32 By Arnold Davick Jan 7, 2026 2 mins Banking Gmail Nvidia podcast Ransomware Guilty Pleas, Cheaper AI, Meta Deal | Ep. 31 By Arnold Davick Jan 6, 2026 2 mins Artificial Intelligence Cybercrime Ransomware podcast Inbox AI, buggy AI code, and “slop” | Ep. 30 By Arnold Davick Dec 23, 2025 2 mins Artificial Intelligence Code Security video AI Safety, Chat Coding, And Video Call Bias | Ep. 28 By Arnold Davick Dec 18, 2025 2 mins Chrome Slack Videoconferencing video AI Standards, Bot Crackdowns, and Cyber Law Reforms | Ep. 27 By Arnold Davick Dec 17, 2025 2 mins Artificial Intelligence Botnets Cyberattacks video Federal AI Policy, GPU Supply, Enterprise Security Risks | Ep. 26 By Arnold Davick Dec 16, 2025 2 mins Artificial Intelligence Cybercrime Nvidia Sponsored Links Join IGEL Now & Next in Miami, March 30–April 2. 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https://play.google.com/store/apps/details?id=org.thunderdog.challegram&hl=da | Telegram X - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids play_arrow Trailer Telegram X Telegram FZ-LLC 4.2 star 811K reviews 100M+ Downloads Rated for 12+ info Install Share Add to wishlist play_arrow Trailer About this app arrow_forward An alternative Telegram client based on TDLib, with higher speed, slicker animations and experimental features. Updated on Jan 7, 2026 Social Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. No data shared with third parties Learn more about how developers declare sharing This app may collect these data types Location, Personal info and 6 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.2 788K reviews 5 4 3 2 1 Joshua Sharp more_vert Flag inappropriate September 8, 2025 The app works well, but their major monetization hook is: if you don't pay for premium, you have to allow any random person to message you. I generally have to block around one scammer a day. If I could only allow contacts to message me, it would be five stars. But monetizing by making people be vulnerable to scams and harassment unless they buy premium is a terrible business strategy. 1,613 people found this review helpful Did you find this helpful? Yes No Alexander Guzman more_vert Flag inappropriate Show review history July 18, 2025 Delivers the same telegram experience. But I typically find it is more stable and has never crashed on me. some features are a little more limited but it works quickly and simply. update 7-2025: still have unexplained restrictions.. cannot recommend this app at all, if for no reason your just going to get cut off and block from reaching your friends and damoly. literally useless now. 17,436 people found this review helpful Did you find this helpful? Yes <div role="button" id="279e488c-c194-46bc-9eeb-d7a624238 | 2026-01-13T09:29:27 |
https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/cloudwatch_billing.html | CloudWatch Kosten analysieren, optimieren und reduzieren - Amazon CloudWatch CloudWatch Kosten analysieren, optimieren und reduzieren - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Analysieren Sie CloudWatch Kosten- und Nutzungsdaten mit dem Cost Explorer Analysieren Sie CloudWatch Kosten- und Nutzungsdaten mit AWS Cost and Usage Report s und Athena Optimierung und Senkung der Kosten von CloudWatch Kennzahlen Optimierung und Senkung der Kosten von CloudWatch Alarmen Optimierung und Senkung der Kosten von Container Insights CloudWatch Optimierung und Senkung der Kosten von CloudWatch Database Insights Optimierung und Senkung der Kosten von Protokollen CloudWatch Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. CloudWatch Kosten analysieren, optimieren und reduzieren In diesem Abschnitt wird beschrieben, wie CloudWatch Amazon-Funktionen Kosten verursachen. Es bietet auch Methoden, mit denen Sie Kosten analysieren, optimieren und CloudWatch senken können. In diesem Abschnitt beziehen wir uns bei der Beschreibung von CloudWatch Funktionen manchmal auf die Preisgestaltung. Informationen zu den Preisen finden Sie unter CloudWatchAmazon-Preise . Themen Analysieren Sie CloudWatch Kosten- und Nutzungsdaten mit dem Cost Explorer Analysieren Sie CloudWatch Kosten- und Nutzungsdaten mit AWS Cost and Usage Report s und Athena Optimierung und Senkung der Kosten von CloudWatch Kennzahlen Optimierung und Senkung der Kosten von CloudWatch Alarmen Optimierung und Senkung der Kosten von Container Insights CloudWatch Optimierung und Senkung der Kosten von CloudWatch Database Insights Optimierung und Senkung der Kosten von Protokollen CloudWatch Analysieren Sie CloudWatch Kosten- und Nutzungsdaten mit dem Cost Explorer Mit AWS Cost Explorer können Sie Kosten- und Nutzungsdaten für einen längeren AWS-Services Zeitraum visualisieren und analysieren, unter anderem CloudWatch. Weitere Informationen finden Sie unter Erste Schritte mit AWS Cost Explorer . Das folgende Verfahren beschreibt, wie Sie Cost Explorer verwenden, um Kosten- und Nutzungsdaten zu visualisieren und zu analysieren CloudWatch . Um CloudWatch Kosten- und Nutzungsdaten zu visualisieren und zu analysieren Melden Sie sich bei der Cost Explorer Explorer-Konsole unter https://console.aws.amazon.com/cost-management/home#/custom an. Wählen Sie unter FILTER für Service die Option aus. CloudWatch Wählen Sie unter Group by (Gruppieren nach) die Option Usage Type (Nutzungstyp) aus. Sie können Ihre Ergebnisse auch nach anderen Kategorien gruppieren, beispielsweise: API Operation (API-Betrieb): Zeigt, welche API-Operationen die meisten Kosten verursacht haben. Region : Zeigt, welche Regionen die meisten Kosten verursacht haben. Die folgende Abbildung zeigt ein Beispiel für die Kosten, die CloudWatch Funktionen über einen Zeitraum von sechs Monaten verursacht haben. Um zu sehen, welche CloudWatch Funktionen die meisten Kosten verursacht haben, schauen Sie sich die Werte für an UsageType . Stellt beispielsweise die Kosten EU-CW:GMD-Metrics dar, die durch CloudWatch Massen-API-Anfragen generiert wurden. Anmerkung Die Zeichenfolgen für UsageType entsprechen spezifischen Features und Regionen. Beispielsweise entspricht der erste Teil von EU-CW:GMD-Metrics ( EU ) der Region Europa (Irland) und der zweite Teil von EU-CW:GMD-Metrics ( GMD-Metrics ) entspricht CloudWatch Massen-API-Anfragen. Die gesamte Zeichenfolge für UsageType kann wie folgt formatiert sein: <Region>-CW:<Feature> oder <Region>-<Feature> . Bei einigen CloudWatch Funktionen wie Protokollen und Alarmen wird auch die Global Region verwendet, um die Nutzung des kostenlosen Kontingents zu ermitteln. Steht zum Beispiel für Global-DataScanned-Bytes die kostenlose CloudWatch Nutzung von Logs-Daten. Zur besseren Lesbarkeit wurden die Zeichenfolgen für UsageType in den Tabellen dieses Dokuments auf ihre Zeichenfolgensuffixe reduziert. EU-CW:GMD-Metrics wurde beispielsweise zu GMD-Metrics verkürzt. Die folgende Tabelle enthält die Namen der einzelnen CloudWatch Funktionen, listet die Namen der einzelnen Unterfunktionen auf und listet die Zeichenfolgen für auf. UsageType CloudWatch Merkmal CloudWatch Untermerkmal UsageType CloudWatch Metriken Eigene Metriken MetricMonitorUsage Detaillierte Überwachung MetricMonitorUsage Eingebettete Metriken MetricMonitorUsage CloudWatch API-Anforderungen API-Anforderungen Requests Massenvorgang (Abrufen) GMD-Metrics Contributor Insights GIRR-Metrics Bitmap-Bild (Snapshot) GMWI-Metrics CloudWatch metrische Streams Metrik-Streams MetricStreamUsage CloudWatch Dashboards Dashboard mit 50 oder weniger Metriken DashboardsUsageHour-Basic Dashboard mit mehr als 50 Metriken DashboardsUsageHour CloudWatch Alarme Standard-Metrikalarm (metrischer Alarm) AlarmMonitorUsage Hochauflösend (Metrik-Alarm) HighResAlarmMonitorUsage Metrics-Insights-Abfragealarm MetricInsightAlarmUsage Komposit (aggregierter Alarm) CompositeAlarmMonitorUsage Container Insights Verbesserte Beobachtbarkeit für Amazon EKS ObservationUsage Verbesserte Beobachtbarkeit für Amazon ECS MetricsUsage CloudWatch Anwendungssignale Application Signals mit Transaktionssuche Application-Signals-Bytes, XRay-Spans-Indexed Application Signals mit X-Ray Application-Signals CloudWatch benutzerdefinierte Protokolle Sammeln (Datenerfassung für die Standard-Protokollklasse) DataProcessing-Bytes Sammeln (Datenerfassung für die Protokollklasse für seltene Zugriffe) DataProcessingIA-Bytes Analysieren (Abfragen) DataScanned-Bytes Analysieren (Live Tail) Logs-LiveTail Speichern (Archivieren) TimedStorage-ByteHrs Erkennen und maskieren (Datenschutz) DataProtection-Bytes CloudWatch verkaufte Logs Lieferung (Amazon CloudWatch Logs Standard-Protokollklasse) VendedLog-Bytes Lieferung (CloudWatch Protokollklasse „Logs Infrequent Access“) VendedLogIA-Bytes Bereitstellung (Amazon S3) S3-Egress-Bytes Bereitstellung (Amazon S3) im Parquet-Format S3-Egress-InputBytes Übermittlung (Amazon Data Firehose) FH-Egress-Bytes Contributor Insights CloudWatch Protokolle (Regeln) ContributorInsightRules CloudWatch Protokolle (Ereignisse) ContributorInsightEvents Amazon DynamoDB (Regeln) ContributorRulesManaged DynamoDB (Ereignisse) ContributorEventsManaged Database Insights Serverless DatabaseInsights-ACU-Hours Bereitgestellt DatabaseInsights-vCPU-Hours Limitless DatabaseInsights-ACU-Hours Canarys (Synthetics) Führen Sie Canary-runs RUM - -Ereignisse RUM-event Netzwerk-Überwachung Network Synthetic Monitor CWNMHybrid-Paid Internet Monitor (überwachte Ressourcen) InternetMonitor-MonitoredResource Internet Monitor (überwachte Stadtnetzwerke) InternetMonitor-CityNetwork Analysieren Sie CloudWatch Kosten- und Nutzungsdaten mit AWS Cost and Usage Report s und Athena Eine weitere Möglichkeit, CloudWatch Kosten- und Nutzungsdaten zu analysieren, ist die Verwendung von AWS Cost and Usage Report s mit Amazon Athena. AWS Cost and Usage Report s enthalten einen umfassenden Satz von Kosten- und Nutzungsdaten. Sie können Berichte erstellen, die Ihre Kosten und Ihre Nutzung nachverfolgen, und diese Berichte in einem S3-Bucket Ihrer Wahl veröffentlichen. Sie können Berichte auch aus Ihrem S3-Bucket herunterladen und löschen. Weitere Informationen finden Sie unter Was sind AWS Cost and Usage Report s? im AWS Cost and Usage Report s-Benutzerhandbuch . Anmerkung Die Verwendung von AWS Cost and Usage Report s ist kostenlos. Sie zahlen nur für den Speicherplatz, wenn Sie Ihre Berichte in Amazon Simple Storage Service (Amazon S3) veröffentlichen. Weitere Informationen finden Sie im Benutzerhandbuch zu AWS Cost and Usage Report en unter Kontingente und Einschränkungen . Athena ist ein Abfragedienst, den Sie mit AWS Cost and Usage Report s verwenden können, um Kosten- und Nutzungsdaten zu analysieren. Sie können Ihre Berichte in Ihrem S3-Bucket abfragen, ohne sie vorher herunterzuladen. Weitere Informationen finden Sie im Benutzerhandbuch zu Amazon Athena unter Was ist Amazon Athena? . Weitere Informationen finden Sie im Benutzerhandbuch zu Amazon Athena unter Was ist Amazon Athena? . Weitere Informationen zur Preisgestaltung finden Sie unter Amazon Athena – Preise . Das folgende Verfahren beschreibt den Prozess zur Aktivierung von AWS Cost and Usage Report s und zur Integration des Dienstes in Athena. Das Verfahren enthält zwei Beispielabfragen, mit denen Sie CloudWatch Kosten- und Nutzungsdaten analysieren können. Anmerkung Sie können jede Beispielabfrage aus diesem Dokument verwenden. Alle Beispielabfragen in diesem Dokument entsprechen einer Datenbank mit dem Namen costandusagereport und zeigen Ergebnisse für den Monat April und das Jahr 2025. Diese Informationen können geändert werden. Vergewissern Sie sich jedoch vor dem Ausführen einer Abfrage, dass der Name Ihrer Datenbank mit dem Namen der Datenbank in der Abfrage übereinstimmt. Um Kosten- und Nutzungsdaten mit AWS Cost and Usage Report s und Athena zu analysieren Aktivieren Sie AWS Cost and Usage Report s. Weitere Informationen finden Sie im Benutzerhandbuch zu AWS Cost and Usage Report en unter Erstellen von Kosten- und Nutzungsberichten . Tipp Achten Sie beim Erstellen Ihrer Berichte darauf, Ressource einbeziehen auszuwählen IDs. Andernfalls enthalten Ihre Berichte die Spalte line_item_resource_id nicht. Anhand dieser Zeile lassen sich Kosten bei der Analyse von Kosten- und Nutzungsdaten näher identifizieren. Integrieren Sie AWS Cost and Usage Report uns in Athena. Weitere Informationen finden Sie unter Athena mithilfe von CloudFormation Vorlagen einrichten im AWS Cost and Usage Report s User Guide . Fragen Sie Ihre Kosten- und Nutzungsberichte ab. Beispiel für eine Athena-Abfrage zur Anzeige der CloudWatch Kosten pro Monat Sie können die folgende Abfrage verwenden, um zu zeigen, welche CloudWatch Funktionen in einem bestimmten Monat die meisten Kosten verursacht haben. SELECT CASE -- Metrics WHEN line_item_usage_type LIKE '%%MetricMonitorUsage%%' THEN 'Metrics (Custom, Detailed monitoring management portal EMF)' WHEN line_item_usage_type LIKE '%%Requests%%' THEN 'Metrics (API Requests)' WHEN line_item_usage_type LIKE '%%GMD-Metrics%%' THEN 'Metrics (Bulk API Requests)' WHEN line_item_usage_type LIKE '%%MetricStreamUsage%%' THEN 'Metric Streams' -- Contributor Insights WHEN line_item_usage_type LIKE '%%Contributor%%' THEN 'Contributor Insights' -- Dashboard WHEN line_item_usage_type LIKE '%%DashboardsUsageHour%%' THEN 'Dashboards' -- Alarms WHEN line_item_usage_type LIKE '%%AlarmMonitorUsage%%' THEN 'Alarms (Standard)' WHEN line_item_usage_type LIKE '%%HighResAlarmMonitorUsage%%' THEN 'Alarms (High Resolution)' WHEN line_item_usage_type LIKE '%%MetricInsightAlarmUsage%%' THEN 'Alarms (Metrics Insights)' WHEN line_item_usage_type LIKE '%%CompositeAlarmMonitorUsage%%' THEN 'Alarms (Composite)' -- Container Insights with enhanced observability WHEN (line_item_usage_type LIKE '%%MetricsUsage%%' OR line_item_usage_type LIKE '%%ObservationUsage%%') THEN 'Container Insights (Enhanced Observability)' -- Database Insights WHEN line_item_usage_type LIKE '%%DatabaseInsights%%' THEN 'Database Insights' -- Logs WHEN line_item_usage_type LIKE '%%DataProcessing-Bytes%%' THEN 'Logs (Collect - Data Ingestion)' WHEN line_item_usage_type LIKE '%%DataProcessingIA-Bytes%%' THEN 'Infrequent Access Logs (Collect - Data Ingestion)' WHEN line_item_usage_type LIKE '%%DataProtection-Bytes%%' THEN 'Logs (Data Protection - Detect and Mask)' WHEN line_item_usage_type LIKE '%%TimedStorage-ByteHrs%%' THEN 'Logs (Storage - Archival)' WHEN line_item_usage_type LIKE '%%DataScanned-Bytes%%' THEN 'Logs (Analyze - Logs Insights queries)' WHEN line_item_usage_type LIKE '%%Logs-LiveTail%%' THEN 'Logs (Analyze - Logs Live Tail)' -- Vended Logs WHEN line_item_usage_type LIKE '%%VendedLog-Bytes%%' THEN 'Vended Logs (Delivered to CW)' WHEN line_item_usage_type LIKE '%%VendedLogIA-Bytes%%' THEN 'Vended Infrequent Access Logs (Delivered to CW)' WHEN line_item_usage_type LIKE '%%FH-Egress-Bytes%%' THEN 'Vended Logs (Delivered to Data Firehose)' WHEN (line_item_usage_type LIKE '%%S3-Egress%%') THEN 'Vended Logs (Delivered to S3)' -- Network Monitoring WHEN line_item_usage_type LIKE '%%CWNMHybrid-Paid%%' THEN 'Network Monitor' WHEN line_item_usage_type LIKE '%%InternetMonitor%%' THEN 'Internet Monitor' -- Other WHEN line_item_usage_type LIKE '%%Application-Signals%%' THEN 'Application Signals' WHEN line_item_usage_type LIKE '%%Canary-runs%%' THEN 'Synthetics' WHEN line_item_usage_type LIKE '%%RUM-event%%' THEN 'RUM' ELSE 'Others' END AS UsageType, -- REGEXP_EXTRACT(line_item_resource_id,'^(?:.+?:) { 5}(.+)$',1) as ResourceID, SUM(CAST(line_item_usage_amount AS double)) AS UsageQuantity, SUM(CAST(line_item_unblended_cost AS decimal(16,8))) AS TotalSpend FROM costandusagereport WHERE product_product_name = 'AmazonCloudWatch' AND year='2025' AND month='4' AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee') -- AND line_item_usage_account_id = '123456789012' – If you want to filter on a specific account, you can remove this comment at the beginning of the line and specify an AWS account. GROUP BY 1 ORDER BY TotalSpend DESC, UsageType; Beispiel für eine Athena-Abfrage, die zeigt, wie CloudWatch Funktionen Kosten verursacht haben Mit der folgenden Abfrage können Sie die Ergebnisse für UsageType und Operation anzeigen. Dies zeigt Ihnen, wie CloudWatch Funktionen Kosten verursacht haben. Die Ergebnisse zeigen auch die Werte für UsageQuantity und TotalSpend , sodass Sie Ihre Gesamtnutzungskosten sehen können. Tipp Wenn Sie weitere Informationen zu UsageType erhalten möchten, können Sie der Abfrage die folgende Zeile hinzufügen: line_item_line_item_description Diese Zeile erstellt eine Spalte mit dem Namen Description (Beschreibung). SELECT bill_payer_account_id as Payer, line_item_usage_account_id as LinkedAccount, line_item_usage_type AS UsageType, line_item_operation AS Operation, line_item_resource_id AS ResourceID, SUM(CAST(line_item_usage_amount AS double)) AS UsageQuantity, SUM(CAST(line_item_unblended_cost AS decimal(16,8))) AS TotalSpend FROM costandusagereport WHERE product_product_name = 'AmazonCloudWatch' AND year='2025' AND month='4' AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee') GROUP BY bill_payer_account_id, line_item_usage_account_id, line_item_usage_type, line_item_resource_id, line_item_operation Optimierung und Senkung der Kosten von CloudWatch Kennzahlen Viele AWS-Services, wie Amazon Elastic Compute Cloud (Amazon EC2), Amazon S3 und Amazon Data Firehose, senden automatisch und kostenlos Metriken CloudWatch an. Für Metriken aus den folgenden Kategorien fallen jedoch unter Umständen zusätzliche Kosten an: Eigene Metriken, detaillierte Überwachung und eingebettete Metriken API-Anforderungen Metrik-Streams Weitere Informationen finden Sie unter Verwenden von CloudWatch Amazon-Metriken . Benutzerdefinierte Metriken Sie können eigene Metriken erstellen, um Datenpunkte in beliebiger Reihenfolge und Geschwindigkeit zu strukturieren. Alle eigenen Metriken werden anteilsmäßig pro Stunde berechnet. Sie werden nur gemessen, wenn sie an CloudWatch gesendet werden. Informationen zur Preisgestaltung von Kennzahlen finden Sie unter CloudWatchAmazon-Preise . In der folgenden Tabelle sind die Namen der relevanten Unterfunktionen für CloudWatch Metriken aufgeführt. Die Tabelle enthält auch die Zeichenfolgen für UsageType und Operation , die bei der Analyse und Identifizierung metrikbezogener Kosten hilfreich sein können. Anmerkung Wenn Sie beim Abfragen von Kosten- und Nutzungsdaten mit Athena weitere Details zu den Metriken aus der folgenden Tabelle erhalten möchten, gleichen Sie die Zeichenfolgen für Operation mit den Ergebnissen ab, die für line_item_operation angezeigt werden. CloudWatch Unterfunktion UsageType Operation Zweck Eigene Metriken MetricMonitorUsage MetricStorage Eigene Metriken Detaillierte Überwachung MetricMonitorUsage MetricStorage:AWS/ { Service} Detaillierte Überwachung Eingebettete Metriken MetricMonitorUsage MetricStorage:AWS/Logs-EMF Protokolliert eingebettete Metriken Protokollfilter MetricMonitorUsage MetricStorage:AWS/CloudWatchLogs Metrikfilter für Protokollgruppen Detaillierte Überwachung CloudWatch hat zwei Arten der Überwachung: Grundlegende Überwachung Die Grundlegende Überwachung ist kostenlos und wird automatisch für alle AWS-Services aktiviert, die das Feature unterstützen. Detaillierte Überwachung Eine detaillierte Überwachung ist mit Kosten verbunden und bietet je nach Bedarf unterschiedliche Verbesserungen. AWS-Service Für jede Option AWS-Service , die eine detaillierte Überwachung unterstützt, können Sie wählen, ob Sie sie für diesen Dienst aktivieren möchten. Weitere Informationen finden Sie unter Grundlegende Überwachung und detaillierte Überwachung . Anmerkung Andere AWS-Services unterstützen eine detaillierte Überwachung und verweisen möglicherweise unter einem anderen Namen auf diese Funktion. Bei Amazon S3 wird die detaillierte Überwachung beispielsweise als Anforderungsmetriken bezeichnet. Ähnlich wie bei benutzerdefinierten Messwerten erfolgt die detaillierte Überwachung anteilig pro Stunde und nur dann, wenn Daten gesendet werden. CloudWatch Eine detaillierte Überwachung verursacht Kosten, die sich nach der Anzahl der Metriken richten, an die gesendet werden. CloudWatch Aus Kostengründen sollte die detaillierte Überwachung nur bei Bedarf aktiviert werden. Informationen zu den Preisen für detailliertes Monitoring finden Sie unter CloudWatchAmazon-Preise . Beispiel: Athena-Abfrage Sie können die folgende Abfrage verwenden, um zu zeigen, für welche EC2 Instances die detaillierte Überwachung aktiviert ist. SELECT bill_payer_account_id as Payer, line_item_usage_account_id as LinkedAccount, line_item_usage_type AS UsageType, line_item_operation AS Operation, line_item_resource_id AS ResourceID, SUM(CAST(line_item_usage_amount AS double)) AS UsageQuantity, SUM(CAST(line_item_unblended_cost AS decimal(16,8))) AS TotalSpend FROM costandusagereport WHERE product_product_name = 'AmazonCloudWatch' AND year='2025' AND month='4' AND line_item_operation='MetricStorage:AWS/EC2' AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee') GROUP BY bill_payer_account_id, line_item_usage_account_id, line_item_usage_type, line_item_resource_id, line_item_operation, line_item_line_item_description ORDER BY line_item_operation Eingebettete Metriken Mit dem CloudWatch eingebetteten Metrikformat können Sie Anwendungsdaten als Protokolldaten aufnehmen, sodass Sie verwertbare Metriken generieren können. Weitere Informationen finden Sie unter Erfassung von Protokollen mit hoher Kardinalität und Generieren von Metriken mit dem eingebetteten Metrikformat . CloudWatch Eingebettete Metriken verursachen Kosten. Diese basieren auf der Anzahl der erfassten Protokolle, der Anzahl der archivierten Protokolle und der Anzahl der generierten eigenen Metriken. In der folgenden Tabelle sind die Namen der relevanten Unterfunktionen für das eingebettete metrische Format aufgeführt. CloudWatch Die Tabelle enthält auch die Zeichenfolgen für UsageType und Operation , die bei der Analyse und Identifizierung der Kosten hilfreich sein können. CloudWatch Unterfunktion UsageType Operation Zweck Eigene Metriken MetricMonitorUsage MetricStorage:AWS/Logs-EMF Protokolliert eingebettete Metriken Erfassung von Protokollen DataProcessing-Bytes PutLogEvents Lädt einen Batch von Protokollereignissen in die angegebene Protokollgruppe oder in den angegebenen Protokollstream hoch Archivierung von Protokollen TimedStorage-ByteHrs HourlyStorageMetering Speichert Protokolle pro Stunde und Protokolle pro Byte in CloudWatch Logs Um Kosten zu analysieren, verwenden Sie AWS Cost and Usage Report s mit Athena, damit Sie ermitteln können, welche Kennzahlen Kosten verursachen, und bestimmen können, wie die Kosten generiert werden. Um die durch das CloudWatch eingebettete Metrikformat generierten Kosten optimal zu nutzen, sollten Sie es vermeiden, Kennzahlen zu erstellen, die auf Dimensionen mit hoher Kardinalität basieren. Auf diese Weise wird CloudWatch nicht für jede einzelne Dimensionskombination eine benutzerdefinierte Metrik erstellt. Weitere Informationen finden Sie unter Dimensionen . API-Anforderungen CloudWatch hat die folgenden Arten von API-Anfragen: API-Anforderungen Massenvorgang (Abrufen) Contributor Insights Bitmap-Bild (Snapshot) API-Anforderungen verursachen Kosten. Diese basieren auf dem Anforderungstyp und auf der Anzahl der angeforderten Metriken. Die Tabelle enthält die Arten von API-Anforderungen sowie die Zeichenfolgen für UsageType und Operation , die bei der Analyse und Identifizierung API-bezogener Kosten hilfreich sein können. API-Anforderungstyp UsageType Operation Zweck API-Anforderungen Requests GetMetricStatistics Ruft Statistiken für die angegebenen Metriken ab Requests ListMetrics Listet die angegebenen Metriken auf Requests PutMetricData Veröffentlicht metrische Datenpunkte in CloudWatch Requests GetDashboard Zeigt Details für die angegebenen Dashboards an Requests ListDashboards Listet die Dashboards in Ihrem Konto auf Requests PutDashboard Erstellt oder aktualisiert ein Dashboard Requests DeleteDashboards Löscht alle angegebenen Dashboards Massenvorgang (Abrufen) GMD-Metrics GetMetricData Ruft CloudWatch metrische Werte ab Contributor Insights GIRR-Metrics GetInsightRuleReport Gibt Zeitreihendaten zurück, die durch eine Contributor-Insights-Regel gesammelt wurden Bitmap-Bild (Snapshot) GMWI-Metrics GetMetricWidgetImage Ruft eine Momentaufnahme einer oder mehrerer CloudWatch Metriken als Bitmap-Bild ab Verwenden Sie Cost Explorer für die Kostenanalyse und gruppieren Sie Ihre Ergebnisse nach API Operation (API-Betrieb). In der Abrechnungskonsole werden generische API-Anfragen unter UsageType Anfragen angezeigt. Diese werden als X,XX USD pro 1.000 Anforderungen – [Region] angezeigt. Dieser Tarif gilt für alle Anfragen mit den zusammengefassten UsageType Anfragen, die über Ihr kostenloses Kontingent hinausgehen. Die Kosten für API-Anfragen variieren, und es fallen Kosten an, wenn Sie die Anzahl der API-Aufrufe überschreiten, die Ihnen im Rahmen des AWS kostenlosen Kontingents zur Verfügung gestellt werden. Anmerkung Nur API-Anfragen mit UsageType Anfragen sind im Limit für das AWS kostenlose Kontingent enthalten. Für API-Anfragen und alle anderen Anfragen UsageType fallen ab dem ersten Anruf Gebühren an. Weitere Informationen finden Sie im Benutzerhandbuch zu AWS Billing unter Verwenden des kostenlosen AWS -Kontingents . Die API-Anforderungen, die üblicherweise Kosten verursachen, sind Abfragen vom Typ Put und Get . Um den Ursprung von API-Anfragen zu überwachen und Benutzer in Ihrem Konto zu identifizieren, aktivieren Sie Datenereignisse in CloudTrail und analysieren Sie aufgezeichnete Ereignisse mit einer der folgenden Methoden: Amazon CloudWatch Logs mit Log Insights Amazon S3 mit Amazon Athena Anmerkung Trails und Ereignisdatenspeicher protokollieren nicht automatisch Datenereignisse. Das Protokollieren von Datenereignissen führt zu zusätzlichen Kosten. Weitere Informationen finden Sie unter AWS CloudTrail – Preise . Weitere Informationen finden Sie unter Protokollierung von Datenereignissen und Identifizieren von Ressourcen, die CloudWatch GetMetricData Gebühren verursachen AWS CloudTrail . API calls not incurring charges Wenn Sie CloudWatch Datenereignisse protokollieren CloudTrail, werden möglicherweise mehr Anrufe angezeigt, als Sie initiiert haben. Dies liegt daran, dass bei der Protokollierung von CloudWatch Datenereignissen API-Aktionen von internen Komponenten CloudTrail erfasst werden. Für Aufrufe interner Komponenten fallen keine CloudWatch Gebühren an. Diese Ereignisse werden jedoch auf die Gesamtzahl Ihrer CloudTrail Ereignisprotokollierung angerechnet und können sich auf die CloudTrail Gebühren auswirken. Zeichnet beispielsweise GetMetricData Anrufe auf, CloudTrail die von einem Überwachungskonto initiiert wurden, um Daten aus einem Quellkonto abzurufen, sowie GetMetricData Anrufe, die von CloudWatch Dashboards initiiert wurden, um Widget-Daten zu aktualisieren. Für diese API-Aufrufe fallen CloudWatch keine Gebühren an. PutMetricData Für jeden CloudWatch PutMetricData API-Aufruf fallen Gebühren an. Häufige Aufrufe können Ihre Kosten erheblich erhöhen, insbesondere in Überwachungsszenarien mit hohem Volumen. Um die Kosten zu senken, sollten Sie darüber nachdenken, mehrere Metriken pro API-Aufruf zu bündeln oder Ihre Überwachungshäufigkeit anzupassen. Weitere Informationen finden Sie PutMetricData in der Amazon CloudWatch API-Referenz . Fassen Sie für eine möglichst kosteneffiziente Nutzung von PutMetricData mehr Daten in Ihren API-Aufrufen zu einem Batch zusammen. Abhängig von Ihrem Anwendungsfall sollten Sie erwägen, CloudWatch Logs oder das CloudWatch eingebettete Metrikformat zum Einfügen von Metrikdaten zu verwenden. Weitere Informationen finden Sie in den folgenden Ressourcen: Was ist Amazon CloudWatch Logs? im Amazon CloudWatch Logs-Benutzerhandbuch Erfassung von Protokollen mit hoher Kardinalität und Generierung von Metriken mit eingebettetem Metrikformat CloudWatch Senkung der Kosten und Fokussierung auf unsere Kunden mit CloudWatch integrierten benutzerdefinierten Kennzahlen von Amazon GetMetricData Der CloudWatch GetMetricData API-Betrieb kann auch Ihre Kosten erheblich erhöhen. Überwachungstools von Drittanbietern erhöhen häufig die Kosten, wenn sie zum Generieren von Erkenntnissen häufig Daten abrufen. Weitere Informationen zu Preisen und bewährten Methoden für die Nutzung GetMetricData finden Sie GetMetricData in der Amazon CloudWatch API-Referenz . Zur Senkung der durch GetMetricData entstehenden Kosten empfiehlt es sich gegebenenfalls, nur Daten abzurufen, die überwacht und verwendet werden, oder Daten seltener abzurufen. Je nach Anwendungsfall können Sie ggf. Metrik-Streams anstelle von GetMetricData verwenden, um Daten nahezu in Echtzeit und zu geringeren Kosten an Dritte zu pushen. Weitere Informationen finden Sie in den folgenden Ressourcen: Verwenden von Streaming-Metriken CloudWatch Metric Streams — Senden Sie AWS Metriken in Echtzeit an Partner und an Ihre Apps GetMetricStatistics Je nach Anwendungsfall können Sie ggf. GetMetricStatistics anstelle von GetMetricData verwenden. Mit GetMetricData können Sie Daten schnell und im großen Stil abrufen. Es GetMetricStatistics ist jedoch im Rahmen des AWS kostenlosen Kontingents für bis zu eine Million API-Anfragen enthalten. Dies kann Ihnen helfen, die Kosten zu senken, wenn Sie nicht so viele Metriken und Datenpunkte pro Anruf abrufen müssen. Weitere Informationen finden Sie in den folgenden Ressourcen: GetMetricStatistics in der Amazon CloudWatch API-Referenz Sollte ich GetMetricData oder verwenden GetMetricStatistics? Anmerkung Externe Aufrufer führen API-Aufrufe aus. Dies APIs wird durch CloudTrail Datenereignisse (wie GetMetricData und GetMetricWidgetImage ) unterstützt, mit denen Sie CloudTrail die häufigsten CloudWatch API-Aufrufer identifizieren und unerwartete Aufrufe potenziell abschwächen oder identifizieren können. Weitere Informationen finden Sie unter So analysieren CloudTrail Sie Ihre CloudWatch API-Nutzung . Für andere CloudWatch APIs Benutzer, die nicht von unterstützt werden CloudTrail, können Sie eine Anfrage an den technischen Support an das CloudWatch Team richten und nach Informationen fragen. Informationen zum Erstellen einer Anfrage an technischen Support finden Sie unter Wie erhalte ich technischen Support von AWS? . CloudWatch metrische Ströme Mit CloudWatch metrischen Streams können Sie Metriken kontinuierlich an AWS Ziele und Ziele von Drittanbietern senden. Die durch Metrik-Streams entstehenden Kosten basieren auf der Anzahl von Metrikaktualisierungen. Metrikaktualisierungen enthalten immer Werte für die folgenden Statistiken: Minimum Maximum Sample Count Sum Weitere Informationen finden Sie unter Statistiken, die gestreamt werden können . Verwenden Sie AWS Cost and Usage Report s mit Athena, um Kosten zu analysieren, die durch CloudWatch metrische Streams generiert werden. Dadurch können Sie identifizieren, welche Metrik-Streams Kosten verursachen, und ermitteln, wie die Kosten entstehen. Beispiel: Athena-Abfrage Mit der folgenden Abfrage können Sie nachverfolgen, welche Metrik-Streams Kosten verursachen – aufgeschlüsselt nach Amazon-Ressourcenname (ARN): SELECT SPLIT_PART(line_item_resource_id,'/',2) AS "Stream Name", line_item_resource_id as ARN, SUM(CAST(line_item_unblended_cost AS decimal(16,2))) AS TotalSpend FROM costandusagereport WHERE product_product_name = 'AmazonCloudWatch' AND year='2025' AND month='4' AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee') -- AND line_item_usage_account_id = '123456789012' – If you want to filter on a specific account, you can remove this comment at the beginning of the line and specify an AWS account. AND line_item_usage_type LIKE '%%MetricStreamUsage%%' GROUP BY line_item_resource_id ORDER BY TotalSpend DESC Um die durch CloudWatch Metrik-Streams verursachten Kosten zu reduzieren, streamen Sie nur die Kennzahlen, die Ihrem Unternehmen einen Mehrwert bieten. Sie können auch jeden ungenutzten Metrik-Stream beenden oder anhalten. Optimierung und Senkung der Kosten von CloudWatch Alarmen Mit CloudWatch Alarmen können Sie Alarme erstellen, die auf einer einzigen Metrik basieren, Alarme, die auf einer Metrics Insights-Abfrage basieren, und zusammengesetzte Alarme erstellen, die andere Alarme beobachten. Anmerkung Die Kosten für metrische und zusammengesetzte Alarme werden anteilsmäßig pro Stunde berechnet. Kosten für Ihre Alarme entstehen Ihnen nur, solange Ihre Alarme existieren. Zur Kostenoptimierung sollten Sie darauf achten, keine falsch konfigurierten Alarme oder solche mit geringem Mehrwert zurückzulassen. Um Ihnen dabei zu helfen, können Sie die Bereinigung von CloudWatch Alarmen, die Sie nicht mehr benötigen, automatisieren. Weitere Informationen finden Sie unter Automatisieren von Amazon CloudWatch Alarm Cleanup at Scale Metrikalarme Metrikalarme haben folgende Auflösungseinstellungen: Standard (Auswertung alle 60 Sekunden) High resolution (Hohe Auflösung; Auswertung alle 10 Sekunden) Wenn Sie einen metrischen Alarm erstellen, basieren Ihre Kosten auf der Auflösungseinstellung Ihres Alarms und der Anzahl der Metriken, auf die Ihr Alarm verweist. Beispielsweise verursacht ein metrischer Alarm, der auf eine Metrik verweist, eine Alarmmetrik pro Stunde. Weitere Informationen finden Sie unter CloudWatchAmazon-Alarme verwenden . Wenn Sie einen Metrikalarm erstellen, der einen mathematischen Metrikausdruck enthält, der auf mehrere Metriken verweist, entstehen Kosten für jede Alarmmetrik, auf die im mathematischen Metrikausdruck verwiesen wird. Informationen zum Erstellen eines metrischen Alarms, der einen metrischen mathematischen Ausdruck enthält, finden Sie unter Einen CloudWatch Alarm auf der Grundlage eines metrischen mathematischen Ausdrucks erstellen. Wenn Sie einen Ausreißer-Erkennungsalarm erstellen, bei dem Ihr Alarm vergangene Metrikdaten analysiert, um ein Modell mit erwarteten Werten zu erstellen, entstehen Kosten für jede Alarm-Metrik, auf die in Ihrem Alarm verwiesen wird, sowie für zwei zusätzliche Metriken, eine für die obere und untere Bandmetrik, die das Ausreißer-Erkennungsmodell erstellt. Informationen zum Erstellen eines Alarms zur Erkennung von Ausreißern finden Sie unter Erstellen eines CloudWatch Alarms auf der Grundlage der Ausreißererkennung . Metrics-Insights-Abfragealarme Bei Metric-Insights-Abfragealarmen handelt es sich um eine bestimmte Art von metrischem Alarm, der nur mit Standardauflösung verfügbar ist (alle 60 Sekunden ausgewertet). Wenn Sie einen Metric-Insights-Abfragealarm erstellen, basieren Ihre Kosten auf der Anzahl der Metriken, die von der Abfrage analysiert werden, auf die sich Ihr Alarm bezieht. Beispielsweise verursacht ein Metric-Insights-Abfragealarm, der auf eine Abfrage verweist, deren Filter zehn Metriken entspricht, zehn analysierte Metriken pro Stunde. Weitere Informationen finden Sie im Preisbeispiel auf Amazon CloudWatch Pricing . Wenn Sie einen Alarm erstellen, der sowohl eine Metrics-Insights-Abfrage als auch einen metrischen mathematischen Ausdruck enthält, wird er als Metrics-Insights-Abfragealarm gemeldet. Wenn Ihr Alarm einen metrischen mathematischen Ausdruck enthält, der zusätzlich zu den von der Metrics-Insights-Abfrage analysierten Metriken auf andere Metriken verweist, entstehen Ihnen zusätzliche Kosten für jede Alarm-Metrik, auf die im metrischen mathematischen Ausdruck verwiesen wird. Informationen zum Erstellen eines metrischen Alarms, der einen metrischen mathematischen Ausdruck enthält, finden Sie unter Erstellen eines CloudWatch Alarms auf der Grundlage eines metrischen mathematischen Ausdrucks . Zusammengesetzte Alarme Zusammengesetzte Alarme enthalten Regelausdrücke, die angeben, wie sie die Zustände anderer Alarme auswerten sollen, um ihre eigenen Zustände zu bestimmen. Bei zusammengesetzten Alarmen fallen Standardkosten pro Stunde an, unabhängig davon, wie viele andere Alarme sie auswerten. Alarme, auf die sich zusammengesetzte Alarme in Regelausdrücken beziehen, verursachen separate Kosten. Weitere Informationen finden Sie unter Erstellen eines zusammengesetzten Alarms . Alarm usage types (Alarm-Einsatztypen) In der folgenden Tabelle sind die Namen der relevanten Unterfunktionen für CloudWatch Alarme aufgeführt. Die Tabelle enthält die Zeichenfolgen für UsageType , die bei der Analyse und Identifizierung alarmbezogener Kosten hilfreich sein können. CloudWatch Unterfunktion UsageType Standard-Metrikalarm AlarmMonitorUsage Hochauflösender metrischer Alarm HighResAlarmMonitorUsage Metrics-Insights-Abfragealarm MetricInsightAlarmUsage Zusammengesetzter Alarm CompositeAlarmMonitorUsage Reducing alarm costs (Reduzieren von Alarmkosten) Um die Kosten zu optimieren, die durch mathematische Alarme mit vier oder mehr Kennzahlen generiert werden, können Sie Daten aggregieren, bevor sie an CloudWatch gesendet werden. Dadurch können Sie einen Alarm für eine einzelne Metrik erstellen, anstatt einen Alarm, der Daten für mehrere Metriken aggregiert. Weitere Informationen finden Sie unter Veröffentlichen benutzerdefinierter Metriken . Um die durch Abfragealarme von Metrics Insights generierten Kosten zu optimieren, können Sie sicherstellen, dass der für die Abfrage verwendete Filter nur mit den Metriken übereinstimmt, die Sie überwachen möchten. Die beste Methode zur Kostensenkung besteht darin, alle unnötigen oder ungenutzten Alarme zu entfernen. Sie können beispielsweise Alarme löschen, die Metriken auswerten, die von AWS -Ressourcen ausgegeben werden, die nicht mehr vorhanden sind. Beispiel für die Nutzung von DescribeAlarms zur Überprüfung auf Alarme mit INSUFFICIENT_DATA -Status Wenn Sie eine Ressource löschen, aber nicht die Metrikalarme, die von der Ressource ausgegeben werden, sind die Alarme weiterhin vorhanden und werden normalerweise im INSUFFICIENT_DATA -Zustand. Verwenden Sie den folgenden Befehl der INSUFFICIENT_DATA ( AWS Command Line Interface ), um nach Alarmen im Zustand AWS CLI zu suchen. aws cloudwatch describe-alarms –state-value INSUFFICIENT_DATA Weitere Informationen finden Sie unter Automatisieren von Amazon CloudWatch Alarm Cleanup at Scale . Weitere Möglichkeiten zur Kostensenkung: Achten Sie darauf, dass Sie Alarme für die richtigen Metriken erstellen. Achten Sie darauf, dass keine Alarme in Regionen aktiviert sind, in denen Sie nicht arbeiten. Denken Sie daran, dass zusammengesetzte Alarme zwar Geräusche reduzieren, aber auch zusätzliche Kosten verursachen. Berücksichtigen Sie bei der Entscheidung, welche Art von Alarm (Standardalarm oder hochauflösender Alarm) Sie erstellen, Ihren Anwendungsfall und den Nutzen des jeweiligen Alarmtyps. Optimierung und Senkung der Kosten von Container Insights CloudWatch CloudWatch Container Insights bietet sowohl Standard- als auch erweiterte Observability-Funktionen für die Überwachung containerisierter Anwendungen in Amazon ECS und Amazon EKS. CloudWatch Container Insights nutzt das eingebettete metrische Format, um Telemetriedaten aus Ihren Container-Umgebungen aufzunehmen. Container Insights mit Standard-Beobachtbarkeit: Standard Container Insights sammelt und visualisiert auf Cluster- und Knotenebene aggregierte Metriken. Sie können mit dem Standardmodus von Container Insights beginnen, indem Sie entweder den CloudWatch Agenten oder die AWS Distribution for Open Telemetry (ADOT) verwenden. Mit ADOT können Sie anpassen, an welche Metriken und Dimensionen gesendet werden. CloudWatch Metriken werden in Container Insights als „eingebettete Metriken“ behandelt. Die mit diesen Metriken verbundenen Kosten spiegeln sich in den Nutzungsarten MetricStorage:AWS/Logs-EMF und DataProcessing-Bytes wider. Detaillierte Preisinformationen finden Sie im Abschnitt Embedded Metrics unter CloudWatchAmazon-Preise . Container Insights mit verbesserter Beobachtbarkeit: Container Insights bietet detaillierte Einblicke mit verbesserter Beobachtbarkeit, die in Ihren Anwendungen detaillierte Telemetrie bis auf Pod- und Container-Ebene ermöglicht. Ähnlich wie bei Container Insights bietet Enhanced Observability auch einen Standardsatz kritischer Metriken, mit denen Sie beginnen können, indem Sie das CloudWatch Observability-Add-on verwenden, das auf dem CloudWatch Agenten ausgeführt wird. Container Insights bietet eine verbesserte Beobachtbarkeit mit einer neuen, beobachtungsbasierten Preisgestaltung, um für kosteneffiziente Rechnungen zu sorgen, die den Vorteil rechtfertigen. Weitere Informationen finden Sie unter CloudWatch Amazon-Preise . Hier finden Sie die folgenden Informationen UsageType und die damit verbundenen Operationen: Container-Einblicke mit verbesserter Beobachtbarkeit: CloudWatch Unterfunktion UsageType Operation Container Insights mit verbesserter Beobachtbarkeit für Amazon EKS ObservationUsage ObservationCount:CI-EKScode Container Insights mit verbesserter Beobachtbarkeit für Amazon ECS MetricsUsage MetricStorage:CI-ECS Optimierung und Senkung der Kosten von CloudWatch Database Insights CloudWatch Database Insights bietet sowohl Standard- als auch erweiterte Observability-Funktionen für die Überwachung von Amazon Aurora Aurora-Datenbanken sowohl auf Instance- als auch auf Flottenebene;. CloudWatch Database Insights konsolidiert Protokolle und Metriken aus Ihren Anwendungen, Ihren Datenbanken und den Betriebssystemen, auf denen sie ausgeführt werden, in einer einheitlichen Ansicht in der Konsole. Database Insights-Standardmodus: Standard Database Insights ist Teil von Kostenloses AWS-Kontingent und bietet einen fortlaufenden Verlauf von 7 Tagen mit Leistungsdaten für die Metrik zum Laden der Datenbank. Erweiterter Modus für Database Insights: Advanced Database Insights konsolidiert Datenbankmetriken, SQL-Abfrageanalysen und Protokolle für Amazon Aurora- und RDS-Datenbanken zu einem einheitlichen Erlebnis in CloudWatch. Die Preisgestaltung basiert auf der Anzahl der Rechenressourcen, die von den überwachten Datenbanken genutzt werden. Einzelheiten zur Preisgestaltung von Database Insights und Preisbeispiele finden Sie unter CloudWatchAmazon-Preise . Hier sind die UsageTypes mit Database Insights verbundenen Operationen: UsageType Operation Instance Configuration Type Database Engine Type DatabaseInsights-vCPU-Stunden Aurora-MySQL:Provisioned Provisioned Aurora-MySQL DatabaseInsights-ACU-Stunden Aurora-MySQL:Serverless Serverless Aurora-MySQL DatabaseInsights-vCPU-Stunden Aurora-PostgreSQL:Provisioned Provisioned Aurora-PostgreSQL DatabaseInsights-ACU-Stunden Aurora-PostgreSQL:Serverless Serverless Aurora-PostgreSQL DatabaseInsights-ACU-Stunden Aurora-PostgreSQL:Limitless Limitless Aurora-PostgreSQL Optimierung und Senkung der Kosten von Protokollen CloudWatch Amazon CloudWatch Logs hat die folgenden Protokolltypen: Benutzerdefinierte Protokolle (Protokolle, die Sie für Ihre Anwendungen erstellen) Versendete Protokolle (Protokolle, die andere AWS-Services, wie Amazon Virtual Private Cloud (Amazon VPC) und Amazon Route 53, in Ihrem Namen erstellen) Weitere Informationen zu verkauften Protokollen finden Sie unter Aktivieren der Protokollierung für bestimmte AWS Dienste im Amazon CloudWatch Logs-Benutzerhandbuch . Die durch benutzerdefinierte Protokolle und Vended-Protokolle entstehenden Kosten basieren auf der Anzahl der gesammelten , gespeicherten und analysierten Protokolle. Bei Vended-Protokollen entstehen zudem Kosten für die Übermittlung an Amazon S3 und Firehose. In der folgenden Tabelle sind die Namen der CloudWatch Logs-Funktionen und die Namen der relevanten Unterfunktionen aufgeführt. Die Tabelle enthält auch die Zeichenfolgen für UsageType und Operation , die bei der Analyse und Identifizierung protokollbezogener Kosten hilfreich sein können. CloudWatch Funktion „Protokolle“ CloudWatch Unterfunktion „Protokolle“ UsageType Operation Zweck Custom logs (Benutzerdefinierte Protokolle) Sammeln (Datenerfassung für die Standard-Protokollklasse) DataProcessing-Bytes PutLogEvents Lädt einen Batch von Protokollen in einen bestimmten Protokollstream in der Standard-Protokollgruppe hoch. Sammeln (Datenerfassung für die Protokollklasse für seltene Zugriffe) DataProcessingIA-Bytes PutLogEvents Lädt einen Batch von Protokollen in einen bestimmten Protokollstream in der Protokollgruppe für seltene Zugriffe hoch. Erkennen und maskieren (Datenschutz ) DataProtection-Bytes PutLogEvents Erkennt und maskiert geschützte Daten in Protokollereignissen. Speichern (Archivieren) TimedStorage-ByteHrs HourlyStorageMetering Speichert Protokolle pro Stunde und Protokolle pro Byte in CloudWatch Logs. Analysieren (Logs-Insights-Abfragen) DataScanned-Bytes StartQuery Protokolliert Daten, die durch CloudWatch Logs Insights-Abfragen gescannt Analysieren (Logs Live Tail) Logs-LiveTail StartLiveTail Während einer Logs Live Tail-Sitzung analysierte CloudWatch Protokolle Vended-Protokolle Lieferung (CloudWatch Logs Standard-Protokollklasse) VendedLog-Bytes PutLogEvents Lädt einen Batch von Protokollen in einen bestimmten Protokollstream in einer Protokollgruppe der Standard-Protokollklasse hoch. Lieferung (CloudWatch Protokollklasse „Logs Infrequent Access“) VendedLogIA-Bytes PutLogEvents Lädt einen Batch von Protokollen in einen bestimmten Protokollstream in einer Protokollgruppe der Protokollklasse für seltene Zugriffe hoch. Bereitstellung (Amazon S3) S3-Egress-Bytes LogDelivery Lädt einen Batch von Vended-Protokollen in einen bestimmten S3-Bucket hoch Bereitstellung (Amazon S3) im Parquet-Format S3-Egress-InputBytes ParquetConversion Führen Sie eine Parquet-Konvertierung für Protokolle durch, die an Amazon S3 bereitgestellt wurden Bereitstellung (Firehose) FH-Egress-Bytes LogDelivery Lädt einen Batch von Vended-Protokollen in Amazon Data Firehose hoch Verwenden Sie AWS Cost Explorer Service oder AWS Cost and Usage Report s mit Athena, um Kosten zu analysieren. Mit jeder der Methoden können Sie identifizieren, welche Protokolle Kosten verursachen, und ermitteln, wie die Kosten entstehen. Benutzen AWS Cost Explorer Service Wählen Sie CloudWatch für den Servicefilter und anschließend Ressource für die Dimension aus. Wenn Sie im Cost Explorer Service Ressource als Dimension auswählen, sehen Sie nur die Nutzung der letzten 14 Tage. Verwendung von Amazon Athena Query zur Nachverfolgung von Protokollen, die Kosten verursachen Mit der folgenden Abfrage können Sie nachverfolgen, welche Protokolle Kosten verursachen – aufgeschlüsselt nach Ressourcen-ID: SELECT line_item_resource_id AS ResourceID, line_item_usage_type AS Operation, SUM(CAST(line_item_unblended_cost AS decimal(16,8))) AS TotalSpend FROM costandusagereport WHERE product_product_name = 'AmazonCloudWatch' AND year=' 2025 ' AND month=' 4 ' AND line_item_operation IN ('PutLogEvents','HourlyStorageMetering','StartQuery','LogDelivery','StartLiveTail','ParquetConversion') AND line_item_line_item_type NOT IN ('Tax','Credit','Refund','EdpDiscount','Fee','RIFee') GROUP BY line_item_resource_id, line_item_usage_type ORDER BY TotalSpend DESC Beachten Sie Folgendes, um die durch CloudWatch Protokolle generierten Kosten optimal zu nutzen: Identifizieren Sie mithilfe der vorherigen Abfrage die Protokollgruppen mit den höchsten Ausgaben pro Vorgang. Protokollieren Sie nur Ereignisse, die Ihrem Unternehmen Mehrwert bringen, und wählen Sie eine effiziente Protokollsyntax. Eine ausführliche Protokollsyntax erhöht das Volumen und damit zugleich die Kosten. Dadurch fallen niedrigere Kosten für die Erfassung an. Ändern Sie Ihre Einstellungen für die Aufbewahrung von Protokollen, um die Kosten für die Speicherung zu reduzieren. Weitere Informationen finden Sie unter Ändern der Aufbewahrung von Protokolldaten in CloudWatch Logs im Amazon CloudWatch Logs-Benutzerhandbuch . Erwägen Sie gegebenenfalls die Nutzung der Protokollklasse „seltene Zugriffe“. Protokolle für seltenen Zugriff bieten weniger Features als die Standardklasse. Bestimmen Sie, ob Sie die zusätzlichen Features der Standard-Protokollklasse benötigen, und lernen Sie den Unterschied zwischen beiden Klassen kennen. Weitere Informationen finden Sie im Blogartikel Neue CloudWatch Logs-Protokollklasse für Protokolle mit seltenem Zugriff zu einem reduzierten Preis . Die Klasse „seltene Zugriffe“ unterstützt zwar weniger Funktionen, ist aber dennoch für die meisten Anwendungsfälle geeignet. Führen Sie Abfragen aus, die CloudWatch Logs Insights automatisch in Ihrem Verlauf speichert. Dadurch fallen weniger Kosten für die Analyse an. Weitere Informationen finden Sie unter Laufende Abfragen oder Abfrageverlauf anzeigen im Amazon CloudWatch Logs-Benutzerhandbuch . Verwenden Sie den CloudWatch Agenten, um System- und Anwendungsprotokolle zu sammeln und an diese zu sendenCloudWatch. Dies ermöglicht es, nur die Protokollereignisse zu erfassen, die Ihre Kriterien erfüllen. Weitere Informationen finden Sie unter Amazon CloudWatch Agent fügt Support für Protokollfilterausdrücke hinzu. Um die Kosten für verkaufte Protokolle zu senken, sollten Sie Ihren Anwendungsfall berücksichtigen und dann entscheiden, ob Ihre Protokolle an Amazon S3 CloudWatch oder Amazon S3 gesendet werden sollen. Weitere Informationen finden Sie unter An Amazon S3 gesendete Logs im Amazon CloudWatch Logs-Benutzerhandbuch . Tipp Wenn Sie Metrikfilter, Abonnementfilter, CloudWatch Logs Insights und Contributor Insights verwenden möchten, senden Sie verkaufte Logs an. CloudWatch Wenn Sie dagegen mit VPC-Flow-Protokollen arbeiten und diese für Überprüfungs- und Compliancezwecke verwenden, senden Sie Vended-Protokolle an Amazon S3. Informationen zur Nachverfolgung von Gebühren, die durch die Veröffentlichung von VPC Flow Logs in S3-Buckets generiert werden, finden Sie unter Verwenden von AWS Cost and Usage Report s- und Kostenzuweisungs-Tags, um die Datenaufnahme von VPC FLow Logs in Amazon S3 zu verstehen . Weitere Informationen darüber, wie Sie die durch CloudWatch Logs generierten Kosten optimal nutzen können, finden Sie unter Welche Protokollgruppe verursacht einen plötzlichen Anstieg meiner Logs-Rechnung? CloudWatch . JavaScript ist in Ihrem Browser nicht verfügbar oder deaktiviert. Zur Nutzung der AWS-Dokumentation muss JavaScript aktiviert sein. Weitere Informationen finden auf den Hilfe-Seiten Ihres Browsers. Dokumentkonventionen Einrichten Dashboards Hat Ihnen diese Seite geholfen? – Ja Vielen Dank, dass Sie uns mitgeteilt haben, dass wir gute Arbeit geleistet haben! Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, was wir richtig gemacht haben, damit wir noch besser werden? Hat Ihnen diese Seite geholfen? – Nein Vielen Dank, dass Sie uns mitgeteilt haben, dass diese Seite überarbeitet werden muss. Es tut uns Leid, dass wir Ihnen nicht weiterhelfen konnten. Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, wie wir die Dokumentation verbessern können? | 2026-01-13T09:29:27 |
https://www.csoonline.com/ | CSO Online | Security at the speed of business Topics Latest Newsletters Resources Buyer’s Guides Events About About Us Advertise Contact Us Editorial ethics policy Foundry Careers Reprints Newsletters Contribute to CSO Policies Terms of Service Privacy Policy Cookie Policy Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld InfoWorld Network World More Awards Blogs BrandPosts Events Podcasts Videos Enterprise Buyer’s Guides Close Artificial Intelligence Generative AI Business Operations Careers Industry IT Leadership Compliance Security Application Security Business Continuity Cloud Security Critical Infrastructure Cybercrime Identity and Access Management IT Management Network Security Physical Security Privacy Risk Management Security Infrastructure Vulnerabilities Analytics Software Development Enterprise Buyer’s Guides Back Close Americas United States Asia ASEAN India Europe Deutschland (Germany) United Kingdom Oceania Australia Back Close Popular Topics Careers Cybercrime Generative AI Search US-EN Topics Latest Newsletters Resources Buyer’s Guides Events About Policies Our Network More Back Topics Artificial Intelligence Generative AI Business Operations Careers Industry IT Leadership Compliance Security Application Security Business Continuity Cloud Security Critical Infrastructure Cybercrime Identity and Access Management IT Management Network Security Physical Security Privacy Risk Management Security Infrastructure Vulnerabilities Analytics Software Development Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial ethics policy Foundry Careers Reprints Newsletters Contribute to CSO Back Policies Terms of Service Privacy Policy Cookie Policy Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld InfoWorld Network World Back More Awards Blogs BrandPosts Events Podcasts Videos Enterprise Buyer’s Guides Latest from today Feature CISOs’ top 10 cybersecurity priorities for 2026 AI’s ongoing rise — both as a threat and a means for defense — is reshaping security execs’ agendas, which also include added emphasis on resiliency, third-party risk management, and geopolitical threats. By Mary K. Pratt Jan 12, 2026 11 mins Application Security CSO and CISO Threat and Vulnerability Management Interview Jamie Norton’s journey to CISO started with an early interest in computers By Samira Sarraf Jan 9, 2026 12 mins C-Suite CSO and CISO Careers Feature Top cyber threats to your AI systems and infrastructure By Mary K. Pratt Jan 8, 2026 10 mins Artificial Intelligence Data and Information Security Threat and Vulnerability Management News Analysis ZombieAgent ChatGPT attack shows persistent data leak risks of AI agents By Lucian Constantin Jan 9, 2026 5 mins Cyberattacks Data and Information Security Generative AI News Enterprises still aren’t getting IAM right By Taryn Plumb Jan 8, 2026 6 mins Artificial Intelligence Identity and Access Management Security News CrowdStrike to acquire SGNL for $740M, expanding real-time identity security By Gyana Swain Jan 9, 2026 5 mins Artificial Intelligence Security Technology Industry News Critical jsPDF vulnerability enables arbitrary file read in Node.js deployments By Shweta Sharma Jan 8, 2026 3 mins Security Vulnerabilities News Microsoft warns of a surge in phishing attacks exploiting email routing gaps By Shweta Sharma Jan 7, 2026 4 mins Phishing Security Vulnerabilities Feature 8 things CISOs can’t afford to get wrong in 2026 By Bob Violino Jan 7, 2026 11 mins CSO and CISO Cloud Security Threat and Vulnerability Management More security news feature Top 10 vendors for AI-enabled security — according to CISOs Weighing innovation, reputation, business value, cost, integration overhead, and peer use, among other criteria, CISOs list the top vendors for AI-fueled security solutions, with stalwarts winning out over startups. By Neal Weinberg Jan 13, 2026 12 mins Markets Security Software Technology Industry news Notorious BreachForums hacking site hit by ‘doomsday’ leak of 324,000 criminal users After two years of arrests and takedowns, is this the end for the hacking forum? By John E. Dunn Jan 12, 2026 4 mins Cyberattacks Data Breach Hacker Groups news Malicious npm packages target the n8n automation platform in a supply chain attack Researchers discovered malicious npm packages posing as n8n integrations, exfiltrating OAuth tokens and API keys from enterprise workflows. By Shweta Sharma Jan 12, 2026 3 mins Cyberattacks Security Vulnerabilities news Iran-linked MuddyWater APT deploys Rust-based implant in latest campaign Researchers discover RustyWater malware targeting organizations in Israel and other Middle Eastern countries By Gyana Swain Jan 12, 2026 4 mins Cyberattacks Cybercrime Security news Trend Micro patches critical flaws in its Apex Central software The bugs could allow an attacker to take over an affected system for their own purposes, or to crash the software, causing a denial of service. By Maxwell Cooter Jan 9, 2026 4 mins Security Information and Event Management Software Security Software Vulnerabilities news CISA flags max-severity bug in HPE OneView amid active exploitation The flaw allows remote code execution via a public REST API, giving attackers a direct path to compromise enterprise infrastructure. By Shweta Sharma Jan 9, 2026 3 mins Security Vulnerabilities news Cisco identifies vulnerability in ISE network access control devices A successful attacker could view sensitive information that even admins can’t access. By Howard Solomon Jan 8, 2026 4 mins Identity and Access Management Network Security Vulnerabilities opinion The 2 faces of AI: How emerging models empower and endanger cybersecurity AI helps security teams move faster — but it’s also helping attackers do the same, turning cybersecurity into a race of machines versus machines. By Vaibhav Agrawal Jan 8, 2026 7 mins Cyberattacks Fraud Zero-Day Vulnerabilities opinion Cybersecurity at the edge: Securing rugged IoT in mission-critical environments Edge IoT keeps the lights on and responders moving, but without rethinking security for harsh, disconnected environments, the risks add up fast. By Bhanu Handa Jan 8, 2026 8 mins Network Security Security Hardware Security Infrastructure news Holes in Veeam Backup suite allow remote code execution, creation of malicious backup config files The vendor has issued a patch to close four holes in its flagship Backup & Replication suite; version 13 users are advised to audit their backup config files and closely monitor backup jobs. By Howard Solomon Jan 7, 2026 4 mins Security Vulnerabilities news analysis Critical RCE flaw allows full takeover of n8n AI workflow platform ‘A compromised n8n instance doesn’t just mean losing one system — it means handing attackers the keys to everything,’ security researchers wrote of the 10.0 severity vulnerability. By Lucian Constantin Jan 7, 2026 5 mins Application Security Artificial Intelligence Vulnerabilities news Automated data poisoning proposed as a solution for AI theft threat For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake information. By Howard Solomon Jan 7, 2026 6 mins Artificial Intelligence Data Privacy Privacy Show more Show less Video on demand video Inside Visa’s Cyber Defense: CISO Subra Kumaraswamy on blending AI and Human Defense In this episode of Cyber Sessions, Visa CISO Subra Kumaraswamy takes us inside the company’s 24/7 Cyber Fusion Centers, where AI-driven defenses block 90 million attacks and 11 million phishing emails each month. He shares how his team achieves “zero breach, zero disruption” across 200+ countries—and what lessons other security leaders can learn from Visa’s global approach to resilience. By Joan Goodchild Dec 15, 2025 26 mins Application Security CSO and CISO CISO Reality: Record Pay, Rising Pressure, and Retention Risk By Joan Goodchild Dec 10, 2025 27 mins CSO and CISO Security Infrastructure The Future of Cybersecurity Leadership: AI, Governance & Education | Kevin Powers, Boston College Nov 19, 2025 23 mins Cyberattacks Cybercrime Risk Management Inside Black Hat: Andy Ellis on vendor buzzwords, AI hype, and the future of the CISO role By Joan Goodchild Nov 12, 2025 31 mins Black Hat CSO and CISO Cyberattacks See all videos Explore a topic Generative AI Application Security Business Continuity Business Operations Careers Cloud Security Compliance Critical Infrastructure Cybercrime Identity and Access Management Industry IT Leadership Network Security Physical Security View all topics All topics Close Browse all topics and categories below. Generative AI Application Security Business Continuity Business Operations Careers Cloud Security Compliance Critical Infrastructure Cybercrime Identity and Access Management Industry IT Leadership Network Security Physical Security Privacy Risk Management Security Security Infrastructure Software Development Vulnerabilities Spotlight: Setting the 2026 IT agenda Articles Buyer’s Guide Given the rapid pace of technology change today, IT leaders are setting their short-term agendas with agility, flexibility, and tangible business outcomes in mind. This month’s topic leans on Foundry’s original Tech Priorities research and external research, along with conversations with IT leaders to uncover enterprise technology trends for the year ahead. Automating, streamlining, and modernizing IT operations is a must as IT teams struggle with skill and staff shortages and increasing demands. A wide variety of tech vendors have solutions aimed at bring IT operations into the AI age. View all Popular topics Generative AI news Several countries investigate Elon Musk’s Grok after sexualized deepfakes on women and children By Viktor Eriksson Jan 5, 2026 2 mins Artificial Intelligence Generative AI Laws and Regulations news analysis Managing agentic AI risk: Lessons from the OWASP Top 10 By Maria Korolov Dec 19, 2025 8 mins Application Security Artificial Intelligence Generative AI opinion Demystifying risk in AI By Rangel Rodrigues Dec 16, 2025 10 mins Generative AI IT Governance IT Governance Frameworks View topic Cybercrime news Taiwan subjected to 2.6 million Chinese cyberattacks a day in 2025 By Viktor Eriksson Jan 5, 2026 2 mins Cyberattacks Cybercrime Security news Cybersecurity firm turns tables on threat actors with decoy data trap By Shweta Sharma Jan 5, 2026 3 mins Cyberattacks Cybercrime Data Breach news Two cybersecurity experts plead guilty to running ransomware operation By Peter Sayer Jan 2, 2026 2 mins Cybercrime Malware Ransomware View topic Careers news analysis Cybersecurity skills matter more than headcount in the AI era By Denise Dubie Jan 2, 2026 7 mins Careers IT Skills and Training Security feature The CSO guide to top security conferences By CSO Staff Dec 29, 2025 5 mins C-Suite CSO and CISO Events feature 7 SASE certifications to validate converged network and security skills By Denise Dubie Dec 26, 2025 9 mins Careers Certifications Network Security View topic IT Leadership feature 6 strategies for building a high-performance cybersecurity team By Mary K. Pratt Jan 6, 2026 9 mins IT Leadership IT Skills and Training Security Operations Center opinion How the Organizational Risk Culture Standard can supercharge your cybersecurity culture By Maman Ibrahim and Gavriel Schneider Jan 5, 2026 11 mins IT Leadership Risk Management Security Practices feature Enterprise Spotlight: Setting the 2026 IT agenda By CSO Staff Jan 1, 2026 1 min Artificial Intelligence Enterprise Buyer’s Guides IT Leadership View topic In depth Feature Who owns your data? SaaS contract security, privacy red flags Companies looking to use SaaS solutions should involve the security team in the procurement process and pay attention to contract language. By Andrada Fiscutean Mar 27, 2024 10 mins Data and Information Security Read the Article Podcasts podcasts Cyber Sessions with Joan Goodchild Cybersecurity is constantly evolving, and so are the leaders who shape it. Hosted by veteran journalist Joan Goodchild, Cyber Sessions brings candid conversations with top CISOs, strategists, and industry influencers. Each episode cuts through the noise to explore the trends, challenges, and leadership insights that define the future of security. 4 episodes Security Security Practices Ep. 05 Inside Visa’s Cyber Defense: CISO Subra Kumaraswamy on blending AI and Human Defense By Joan Goodchild Jun 28, 2023 26 mins Application Security Ep. 04 CISO Reality: Record Pay, Rising Pressure, and Retention Risk By Joan Goodchild Jun 28, 2023 27 mins CSO and CISO Security Infrastructure Show me more Latest Articles Podcasts Videos brandpost Sponsored by OpenText How to eliminate IT blind spots in the modern, AI-driven enterprise By Joan Goodchild Jan 7, 2026 8 mins Security news Open WebUI bug turns the ‘free model’ into an enterprise backdoor By Shweta Sharma Jan 6, 2026 3 mins Artificial Intelligence Security Vulnerabilities brandpost Sponsored by NETSCOUT Why Arbor Edge Defense and CDN-Based DDoS protection are better together By Gary Sockrider Jan 5, 2026 3 mins Security podcast CSO Executive Session ASEAN: The Human Firewall-Retention, AI Readiness, and Women in Cybersecurity By Estelle Quek Jan 11, 2026 28 mins Cyberattacks Cybercrime Human Resources podcast Inside Visa’s Cyber Defense: CISO Subra Kumaraswamy on blending AI and Human Defense By Joan Goodchild Dec 15, 2025 26 mins Application Security podcast CISO Reality: Record Pay, Rising Pressure, and Retention Risk By Joan Goodchild Dec 10, 2025 27 mins CSO and CISO Security Infrastructure video CSO Executive Sessions ASEAN: The Human Firewall-Retention, AI Readiness, and Women in Cybersecurity By Estelle Quek Jan 11, 2026 28 mins Cyberattacks Cybercrime Human Resources video CSO Executive Sessions Australia with Daisy Wong, Head of Security Awareness at Medibank Dec 14, 2025 38 mins CSO and CISO video CSO Executive Sessions ASEAN: Leading the Charge on Cyber Agility for Southeast Asia’s Digital Future By Estelle Quek Oct 2, 2025 21 mins Cloud Security Cyberattacks Threat and Vulnerability Management Sponsored Links Join IGEL Now & Next in Miami, March 30–April 2. This is ultimate event to discover what’s next in endpoint cybersecurity & innovation. Register now! About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Join the Foundry Expert Contributor Network! Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld Infoworld Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. All Rights Reserved. | 2026-01-13T09:29:27 |
https://play.google.com/store/apps/details?id=org.thunderdog.challegram&hl=cs | Telegram X - Apps on Google Play Games Apps Books Kids google_logo Play Games Apps Books Kids none search help_outline Sign in with Google play_apps Library & devices payment Payments & subscriptions reviews My Play activity redeem Offers Play Pass Personalization in Play settings Settings Privacy Policy • Terms of Service Games Apps Books Kids play_arrow Trailer Telegram X Telegram FZ-LLC 4.2 star 811K reviews 100M+ Downloads Rated for 12+ info Install Share Add to wishlist play_arrow Trailer About this app arrow_forward An alternative Telegram client based on TDLib, with higher speed, slicker animations and experimental features. Updated on Jan 7, 2026 Social Data safety arrow_forward Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time. No data shared with third parties Learn more about how developers declare sharing This app may collect these data types Location, Personal info and 6 others Data is encrypted in transit You can request that data be deleted See details Ratings and reviews Ratings and reviews are verified info_outline arrow_forward Ratings and reviews are verified info_outline phone_android Phone laptop Chromebook tablet_android Tablet 4.2 788K reviews 5 4 3 2 1 Joshua Sharp more_vert Flag inappropriate September 8, 2025 The app works well, but their major monetization hook is: if you don't pay for premium, you have to allow any random person to message you. I generally have to block around one scammer a day. If I could only allow contacts to message me, it would be five stars. But monetizing by making people be vulnerable to scams and harassment unless they buy premium is a terrible business strategy. 1,613 people found this review helpful Did you find this helpful? Yes No Alexander Guzman more_vert Flag inappropriate Show review history July 18, 2025 Delivers the same telegram experience. But I typically find it is more stable and has never crashed on me. some features are a little more limited but it works quickly and simply. update 7-2025: still have unexplained restrictions.. cannot recommend this app at all, if for no reason your just going to get cut off and block from reaching your friends and damoly. literally useless now. 17,436 people found this review helpful Did you find this helpful? Yes <div role="button" id="279e488c-c194-46bc-9eeb-d7a624238d5 | 2026-01-13T09:29:27 |
https://www.linkedin.com/products/infovista-tems%E2%84%A2-suite/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_image-click | TEMS™ Suite | LinkedIn Skip to main content LinkedIn Infovista 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 TEMS™ Suite Network Monitoring Software by Infovista See who's skilled in this Add as skill Contact us Report this product About TEMS™ Suite is the comprehensive solution for mobile network testing designed to meet the demands of next-generation networks. TEMS Suite empowers you to deliver next-level experience and achieve faster time-to-market for your 5G network. Key Features: 🔹 Efficient Network Validation 🔹 Comprehensive Network Testing 🔹 OTT Voice and Application Testing 🔹 Efficient Competitor Benchmarking 🔹 Proactive Network Monitoring 🔹 Trusted and Recognized Discover the TEMS™ Suite: 🔹 TEMS™ Investigation 🔹 TEMS™ Discovery 🔹 TEMS™ Paragon 🔹 TEMS™ Pocket 🔹 TEMS™ Cloud 🔹 TEMS™ Sense Optimize your mobile network performance, enhance subscriber experience, and achieve your business objectives empowered by TEMS Suite. Visit our official product page to learn more and get in touch. This product is intended for Network Test Engineer Network Engineer Telecommunications Engineer Network Analyst Senior Network Engineer Network Administrator Network Technician Media Products media viewer No more previous content TEMS™ Cloud for Site Verification | Overview and benefits | Infovista 5G rollouts encounter many challenges as technology evolves. TEMS Cloud helps you to reduce complexity through automation and autonomous capabilities. Join Chee Hong Koh, our Solution Engineering Director, to learn how our TEMS platform can help you to overcome the challenges of 5G rollouts including advanced network complexity and reduce the time to verify your sites. Precision Drive Testing™ explained Find out how Precision Drive Testing can deliver 26% reduction in drive distance and a massive 49% reduction in drive test time for your 5G networks. Ensuring a superior mobile network experience with TEMS Learn how MNOs use TEMS Pocket, TEMS Investigation, and TEMS Discovery to improve subscriber QoE and provide a consistently high-performing competitive network. TEMS Pocket: From ground control to air control TEMS Pocket is a unique device-based testing solution, which can be mounted to a drone to help you collect data in hard to reach places. TEMS Investigation - Test and Measure Your Ever-Evolving Mobile Networks TEMS™ Investigation is an active, end-to-end testing solution, used to verify, optimize and troubleshoot Heterogeneous RAN services. No more next content Featured customers of TEMS™ Suite Accenture Business Consulting and Services 14,296,377 followers First Responder Network Authority Telecommunications 20,763 followers T-Mobile Telecommunications 635,510 followers Ericsson Telecommunications Inc. Telecommunications 15,828 followers Nokia Telecommunications 1,862,628 followers Communications Regulatory Authority Telecommunications 4,802 followers TELUS Telecommunications 407,627 followers Show more Show less Similar products NMS NMS Network Monitoring Software Network Operations Center (NOC) Network Operations Center (NOC) Network Monitoring Software Arbor Sightline Arbor Sightline Network Monitoring Software Progress Flowmon Progress Flowmon Network Monitoring Software ASM ASM Network Monitoring Software ONES (Open Networking Enterprise Suite) ONES (Open Networking Enterprise Suite) Network Monitoring Software Sign in to see more Show more Show less Infovista products Ativa™ Suite Ativa™ Suite Customer Experience Management Software Planet Suite Planet Suite LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English (English) Language | 2026-01-13T09:29:27 |
https://www.infoworld.com/javascript/ | JavaScript | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Software Development Programming Languages JavaScript JavaScript JavaScript | News, how-tos, features, reviews, and videos Latest from today news C# wins Tiobe Programming Language of the Year honors for 2025 C# saw the largest increase in ranking in the index year over year, while Java held steady, C and C++ swapped positions, R and Perl rose, and Go and Ruby faded. By Paul Krill Jan 5, 2026 4 mins C# Java JavaScript analysis Back to the future: The most popular JavaScript stories and themes of 2025 By Matthew Tyson Jan 2, 2026 4 mins JavaScript Node.js TypeScript how-to Intro to Hotwire: HTML over the wire By Matthew Tyson Dec 31, 2025 10 mins HTML JavaScript Web Development news Deno adds tool to run NPM and JSR binaries By Paul Krill Dec 23, 2025 3 mins JavaScript TypeScript WebAssembly news JetBrains releases Kotlin 2.3.0 By Paul Krill Dec 18, 2025 3 mins Java JavaScript Kotlin analysis All I want for Christmas is a server-side JavaScript framework By Matthew Tyson Dec 5, 2025 3 mins Development Tools JavaScript TypeScript opinion A proactive defense against npm supply chain attacks By Mike Wiacek Dec 4, 2025 5 mins Application Security DevSecOps JavaScript news Microsoft steers native port of TypeScript to early 2026 release By Paul Krill Dec 3, 2025 3 mins Golang JavaScript TypeScript feature The complete guide to Node.js frameworks By Matthew Tyson Dec 3, 2025 16 mins Development Tools JavaScript Web Development Articles how-to Intro to Nest.js: Server-side JavaScript development on Node Explore the all-in-one server-side framework for developing scalable web applications on Node.js. By Matthew Tyson Nov 26, 2025 9 mins JavaScript TypeScript Web Development news Aspire 13 bolsters Python, JavaScript support Distributed app platform also introduces the 'aspire do' command for parallelized builds and deployments and an Aspire MCP server for AI devops. By Paul Krill Nov 17, 2025 3 mins JavaScript Microsoft .NET Python feature 10 JavaScript-based tools and frameworks for AI and machine learning Unlock the power of AI and machine learning without ever leaving the JavaScript sandbox. Big names include TensorFlow.js, LangChain, and Angular, but we’ve found a few smaller gems, too. By Peter Wayner Nov 17, 2025 6 mins Development Tools JavaScript TypeScript how-to Node.js tutorial: Get started with Node Get started with the server-side JavaScript runtime that started it all. Learn how to install and use Node.js with NPM and modules and frameworks like http, PM2, and Express.js. By Matthew Tyson Nov 12, 2025 11 mins JavaScript Programming Languages Software Development analysis AI makes JavaScript programming fun again What if AI-assisted development is less of a threat, and more of a jetpack? This month’s report tackles vibe coding, along with new JavaScript tools and techniques to explore in your AI-assisted free time. By Matthew Tyson Nov 7, 2025 4 mins Generative AI JavaScript Libraries and Frameworks news More Django developers turning to AI – report State of Django 2025 report cites rising usage of AI tools such as GitHub Copilot and Anthropic Claude for both learning and coding assistance. By Paul Krill Nov 7, 2025 2 mins Development Tools JavaScript Python news TypeScript rises to the top on GitHub The strongly-typed language recently overtook both JavaScript and Python as the most used language on GitHub, with the rise is attributed to demand for AI-assisted development. By Paul Krill Oct 28, 2025 3 mins JavaScript Python TypeScript opinion Taming the Java cold-start beast: A practical guide to high-performance serverless with GraalVM and Spring Turns out Java can do serverless right — with GraalVM and Spring, cold starts are tamed and performance finally heats up. By Prasanna Kumar Ramachandran Oct 27, 2025 10 mins Java JavaScript Python news Next.js 16 features explicit caching, AI-powered debugging In addition to improved caching and MCP integration, the React compiler is stable in Next.js 16, and Turbopack is the default bundler. By Paul Krill Oct 24, 2025 3 mins JavaScript TypeScript Web Development news React JS library moving from Meta to the Linux Foundation The Linux Foundation is launching the React Foundation to serve as the home for React, React Native, and supporting technologies. By Paul Krill Oct 8, 2025 2 mins JavaScript Libraries and Frameworks Web Development analysis The JavaScript code won’t write itself This month’s theme is: Keep an eye on the future but hone your coding craft in the now. Start here, with nine timeless JavaScript coding concepts, a look at Nitro.js—fast becoming the go-to server option for JavaScript and Node—and more. By Matthew Tyson Oct 3, 2025 3 mins Application Security JavaScript Web Development news Chainguard offers malware-resistant JavaScript libraries Responding to recent NPM malware attacks, Chainguard Libraries for JavaScript seeks to address security vulnerabilities in the JavaScript ecosystem. By Paul Krill Oct 2, 2025 2 mins Application Security JavaScript Web Development Show more Show less View all Video on demand video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java Microsoft .NET Open Source Programming Languages View all topics All topics Close Browse all topics and categories below. 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But using them to their full advantage requires adopting best practices. By Bob Violino Jan 12, 2026 9 mins Development Tools Generative AI No Code and Low Code opinion Why ‘boring’ VS Code keeps winning By Matt Asay Jan 12, 2026 7 mins Developer GitHub Visual Studio Code feature Python starts 2026 with a bang By Serdar Yegulalp Jan 9, 2026 2 mins Programming Languages Python Software Development news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development news AI is causing developers to abandon Stack Overflow By Mikael Markander Jan 12, 2026 2 mins Artificial Intelligence Generative AI Software Development opinion Stack thinking: Why a single AI platform won’t cut it By Tom Popomaronis Jan 12, 2026 8 mins Artificial Intelligence Development Tools Software Development news Visual Studio Code adds support for agent skills By Paul Krill Jan 9, 2026 3 mins Development Tools Integrated Development Environments Visual Studio Code analysis Generative UI: The AI agent is the front end By Matthew Tyson Jan 7, 2026 8 mins Development Tools Generative AI Libraries and Frameworks feature 6 incredibly hyped software trends that failed to deliver By Bill Doerrfeld Jan 5, 2026 13 mins Big Data Blockchain Technology Industry More top stories opinion What the loom tells us about AI and coding Like the loom, AI may turn the job market upside down. And enable new technologies and jobs that we simply can’t predict. By Nick Hodges Jan 7, 2026 4 mins Developer Engineer Generative AI news analysis Snowflake: Latest news and insights Stay up-to-date on how Snowflake and its underlying architecture has changed how cloud developers, data managers and data scientists approach cloud data management and analytics By Dan Muse Jan 9, 2026 5 mins Cloud Architecture Cloud Computing Cloud Management opinion The hidden devops crisis that AI workloads are about to expose Devops teams that cling to component-level testing and basic monitoring will struggle to keep pace with the data demands of AI. By Joseph Morais Jan 8, 2026 6 mins Artificial Intelligence Devops Generative AI analysis Generative UI: The AI agent is the front end In a new model for user interfaces, agents paint the screen with interactive UI components on demand. Let’s take a look. 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By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training feature InfoWorld’s 2025 Technology of the Year Award winners The InfoWorld Technology of the Year Awards recognize the year’s best and most innovative products in AI, cloud, data analytics, devops, and software development. By InfoWorld Awards Team Dec 15, 2025 48 mins APIs Application Security DevSecOps analysis Back to the future: The most popular JavaScript stories and themes of 2025 The major themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return to simplicity; coalescence on the server side; AI promises (with some delivery); and the steady evolution of the JavaScript specification. By Matthew Tyson Jan 2, 2026 4 mins JavaScript Node.js TypeScript analysis What’s next for Azure containers? More from Mark Russinovich’s Ignite 2025 sessions, detailing software developments that underpin Microsoft’s move to serverless containers. By Simon Bisson Jan 1, 2026 9 mins Kubernetes and Containers Microsoft Azure Serverless Computing opinion How to build RAG at scale Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture. By Ankush Dhar Dec 30, 2025 8 mins Artificial Intelligence Data Architecture Generative AI how-to Intro to Hotwire: HTML over the wire Get started with Hotwire, the HTMX alternative for developing supercharged, responsive web applications. By Matthew Tyson Dec 31, 2025 10 mins HTML JavaScript Web Development Show more Show less View all Dev with Serdar video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source View all topics All topics Close Browse all topics and categories below. Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Spotlight: Setting the 2026 IT agenda Articles Buyer’s Guide Given the rapid pace of technology change today, IT leaders are setting their short-term agendas with agility, flexibility, and tangible business outcomes in mind. This month’s topic leans on Foundry’s original Tech Priorities research and external research, along with conversations with IT leaders to uncover enterprise technology trends for the year ahead. Automating, streamlining, and modernizing IT operations is a must as IT teams struggle with skill and staff shortages and increasing demands. A wide variety of tech vendors have solutions aimed at bring IT operations into the AI age. 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By Isaac Sacolick May 6, 2024 12 mins Engineer Software Development Technology Industry Show me more Latest Articles Videos news Databricks says its Instructed Retriever offers better AI answers than RAG in the enterprise By Anirban Ghoshal Jan 8, 2026 5 mins Artificial Intelligence Generative AI news Microsoft acquires Osmos to ease data engineering bottlenecks in Fabric By Anirban Ghoshal Jan 7, 2026 4 mins Analytics Artificial Intelligence Data Engineering news AI won’t replace human devs for at least 5 years By Taryn Plumb Jan 7, 2026 7 mins Artificial Intelligence Developer Roles video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://www.jenkins.io/doc/book/platform-information/support-policy-java/#running-jenkins-system | Java Support Policy > User Documentation Home User Handbook User Handbook Overview Installing Jenkins Platform Information Java Support Policy Linux Support Policy Windows Support Policy Browser compatibility Servlet Container Support Policy Upgrade to Java 17 Upgrade to Java 21 Using Jenkins Pipeline Blue Ocean Managing Jenkins Securing Jenkins System Administration Scaling Jenkins Troubleshooting Jenkins Glossary Tutorials Guided Tour Jenkins Pipeline Using Build Tools Resources Pipeline Syntax reference Pipeline Steps reference LTS Upgrade guides ⇑ Platform Information Index Linux Support Policy ⇒ Java Support Policy There are separate runtime and job execution requirements for Jenkins installations. Running Jenkins system The following Java versions are required to run Jenkins: Supported Java versions Long term support (LTS) release Weekly release Java 21 or Java 25 N/A 2.545 (January 2026) Java 17, Java 21, or Java 25 2.451.1 (January 2026) 2.534 (October 2025) Java 17 or Java 21 2.479.1 (October 2024) 2.463 (June 2024) Java 11, Java 17, or Java 21 2.426.1 (November 2023) 2.419 (August 2023) Java 11 or Java 17 2.361.1 (September 2022) 2.357 (June 2022) Java 8, Java 11, or Java 17 2.346.1 (June 2022) 2.340 (March 2022) Java 8 or Java 11 2.164.1 (March 2019) 2.164 (February 2019) Java 8 2.60.1 (June 2017) 2.54 (April 2017) Java 7 1.625.1 (October 2015) 1.612 (May 2015) Supported Java versions If you install an unsupported Java version, your Jenkins controller will not run. These requirements apply to all components of the Jenkins system, including the Jenkins controller, all types of agents, CLI clients, and other components. You do not need to build your application with the same version of Java used to run Jenkins itself; see the "Running Java-based tools and builds on Jenkins" section below. Upgrading Java to a newer version Upgrading an existing Jenkins setup to a newer version of Java? Refer to the Java 11 to 17 upgrade guidelines and the Java 17 to 21 upgrade guidelines . Docker installation instructions are included in "Downloading and running Jenkins in Docker" . The Jenkins project performs a full test flow with the following JDK/JREs: OpenJDK JDK / JRE 17 - 64 bits OpenJDK JDK / JRE 21 - 64 bits JRE/JDKs from other vendors are supported and may be used. Refer to our issue tracker for known Java compatibility issues. Jenkins maintainers actively test HotSpot based Java virtual machines like those from OpenJDK, Eclipse Temurin, and Amazon Corretto. Jenkins maintainers do not test Eclipse OpenJ9 based Java virtual machines . The Platform Special Interest Group does not actively work on OpenJ9 based Java virtual machines. Running Java-based tools and builds on Jenkins The JDK versions used to build Java-based projects or run Java-based tools are independent from the version of Java used to run the Jenkins controller and agent processes. During builds, any JRE or JDK version compatible with the host system can be launched. This includes: Execution of java or javac from shell build steps and similar. Execution of Maven/Ant/… build steps using a JDK managed by a JDK tool installer . Some plugins have more strict requirements, and may require a build to execute the same Java version used to run the Jenkins controller and agents. A notable plugin example is the Maven Integration Plugin . It requires the JDK version used for Maven builds to be at least the same Java version used in the Jenkins controller. These cases are generally documented in the plugin documentation. Monitoring Java versions Modern Jenkins controllers and Jenkins agents verify Java requirements and notify users when they are launched with an unsupported version. The Versions Node Monitors plugin provides detailed Java version monitoring. JDKs used in Jenkins The Jenkins project uses Eclipse Temurin as its primary JDK for building and testing Java based applications. This includes: Container Images Jenkins core release builds Automated plugin releases Continuous integration build and test Testing Infrastructure Some of the reasons for choosing Temurin are: Availability over many different Java SE versions and across a wide range of platforms, including different operating systems and architectures. Regular maintenance and long term support provided by the Eclipse Foundation. ⇑ Platform Information Index Linux Support Policy ⇒ Was this page helpful? Please submit your feedback about this page through this quick form . Alternatively, if you don't wish to complete the quick form, you can simply indicate if you found this page helpful? Yes No Submit See existing feedback here . | 2026-01-13T09:29:27 |
https://www.linkedin.com/products/manageengine-log360/?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_image-click | Log360 | LinkedIn Skip to main content LinkedIn ManageEngine 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 Log360 Log Management Software by ManageEngine See who's skilled in this Add as skill Get started Report this product About Log360, a security information and event management solution, offers real-time security analytics coupled with machine-learning-based behavioral analytics and dynamic threat intelligence to simplify threat detection, prioritize and automate critical threat responses based on risks, secure data on the cloud, monitor privileged user activities, and comply with IT mandates. Key capabilities of Log360: -Dynamic threat intelligence and real-time threat detection -Actionable security analytics -End-to-end incident management -In-depth cloud security analytics -Anomaly detection driven by behavioral analytics -Real-time Active Directory auditing -Integrated compliance management -High-speed forensic analysis engine This product is intended for System Administrator Information Technology Manager Network Administrator Information Technology Security Specialist Information Technology System Manager Information Technology System Administrator Information Security Consultant Exchange Administrator Information Technology Network Administrator Cloud Administrator Media Products media viewer No more previous content User and entity behavior analytics explained Cyberattacks have become sophisticated in today's digital era. To protect against such attacks, you need a UEBA solution that uses machine learning algorithms, and advanced analytics to baseline the behavior of both users and entities. Once a deviation from the normal is observed, the corresponding risk score is increased. This will enable your organization to prevent insider attacks, account compromise, data exfiltration, and more. Dashboard view Get a quick snapshot of all the important security events in your network. Event log correlation Detect and mitigate security threats accurately by correlating suspicious events throughout your network with Log360's event log correlation engine. UEBA Maximize your network's cybersecurity using machine learning and artificial intelligence through Log360's User Entity and Behaviour Analytics. Reports and compliance Meet regulatory requirements with ease using Log360's compliance management feature. No more next content Featured customers of Log360 Invivoscribe Biotechnology Research 6,566 followers Guthrie Hospitals and Health Care 36,547 followers RCO Engineering Manufacturing 9,861 followers HCLTech IT Services and IT Consulting 8,598,530 followers Claim Technology IT Services and IT Consulting 1,802 followers Similar products SolarWinds Papertrail SolarWinds Papertrail Log Management Software Devo Security Data Platform Devo Security Data Platform Log Management Software IBM QRadar Log Insights IBM QRadar Log Insights Log Management Software Kron TLMP (Telemetry Pipeline) Kron TLMP (Telemetry Pipeline) Log Management Software Kron IPDR Kron IPDR Log Management Software Mezmo Mezmo Log Management Software Sign in to see more Show more Show less ManageEngine products Analytics Plus Analytics Plus Business Intelligence (BI) Software Applications Manager Applications Manager Application Performance Monitoring (APM) Software CloudSpend CloudSpend Cloud Management Platforms (CMP) Endpoint Central (formerly Desktop Central) Endpoint Central (formerly Desktop Central) Endpoint Protection Systems ManageEngine ADAudit Plus ManageEngine ADAudit Plus Audit Management Software OpManager Plus OpManager Plus IT Infrastructure Monitoring Tools RMM Central RMM Central Remote Monitoring & Management (RMM) Software ServiceDesk Plus ServiceDesk Plus Service Desk Software Site24x7 Site24x7 IT Infrastructure Monitoring Tools Vulnerability Manager Plus Vulnerability Manager Plus Vulnerability Scanners 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 | 2026-01-13T09:29:27 |
https://www.linkedin.com/products/categories/big-data-analytics-software?trk=products_details_guest_product_category | Best Big Data Analytics Software | Products | LinkedIn Skip to main content LinkedIn 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 Clear text Used by Used by Data Analyst (41) Data Scientist (21) Data Engineer (12) Business Analyst (12) Data Manager (12) See all products Find top products in Big Data Analytics Software category Software used to ingest, visualize, and leverage large data sets. - Build dashboards, reports, and visualizations to understand complex data sets - Derive actionable insights from trends and patterns in data clusters - Organize and query multiple data sources on a single platform 269 results BigQuery Big Data Analytics Software by Google Cloud BigQuery is a serverless, highly scalable, and cost-effective data warehouse designed to help you turn big data into informed business decisions. View product Mindtree Decision Moments Big Data Analytics Software by Mindtree Mindtree Decision Moments is the first data analytics platform to apply continuous learning algorithms to large data pools. Visit our site to learn more. View product Splunk Enterprise Big Data Analytics Software by Splunk Search, analysis and visualization for actionable insights from all of your data. View product Momenta+ Big Data Analytics Software by 3i Infotech Ltd. Make smarter, data-driven decisions with Momenta+. Deploy analytical models, access interactive reports and dashboards, and take faster actions. Benefit from pre-built use cases, customization options, and a scalable architecture. Experience significant reduction in reporting time, high fraud hit ratio, 360-degree customer view, and numerous key performance indicators. Choose Momenta+ for intelligent insights and informed decision-making. View product TEDAx Big Data Analytics Software by Tata Elxsi TEDAx is an AI-driven Big Data Analytics platform built on open-source technologies that expedites the transition from unprocessed data to business intelligence-related actionable insights. It can efficiently collect data from many sources, including edge devices, in batch and real-time modes, and integrate with existing data repositories without issues. The platform strongly emphasises improving data quality while creating new features by cleansing and upgrading both structured and unstructured data. Modern machine learning methods, such as sentiment analysis and deep learning. This advanced machine-learning approach is crucial in today's intelligent technology. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights moneo Big Data Analytics Software by ifm moneo is the IIoT software solution from ifm for recording, analysing and monitoring industrial sensor data to optimise maintenance, processes and energy consumption in production. View product Data Analyst Big Data Analytics Software by Sync4Tech As a Data Analyst, we excel in extracting valuable insights from complex datasets. Our skilled analysts specialize in comprehensive data interpretation, employing advanced techniques for accurate and actionable results. Collaborate with us to harness the power of your data for informed decision-making and business growth. View product Maltego Big Data Analytics Software by Maltego Technologies Maltego is the all-in-one investigation platform that accelerates complex cyber investigations from hours to minutes. The Maltego platform powers preliminary quick OSINT investigations for digital profiling with Maltego Search as well as complex link analysis for large datasets with Maltego Graph. Through Maltego Evidence and Maltego Monitor, the platform enables investigators to collect, monitor, and preserve social media intelligence real-time for prosecution and public safety. Whether cyber threat intelligence teams or law enforcement, Maltego equips your teams with the most essential and relevant data, with out-of-the-box access to common data sources and over 100 ready-made connectors to more. Mine, merge, and map all your essential intelligence in one place, and uncover hidden truths with Maltego! View product Data Automation & Transformation Aggregator (D.A.T.A) tool Big Data Analytics Software by Stefanini EMEA Stefanini's Data Automation & Transformation Aggregator (D.A.T.A.) enables businesses to realize the huge value contained within their data. Data offers a key competitive advantage for businesses but is rendered almost useless without the organization delivered by an aggregator. This is where D.A.T.A comes in – organizing unstructured client data with automatic filtering, playing a vital role in enabling businesses to understand audience behaviors and operational performance. Following analysis and reporting, the statistics can be used to inform strategic decisions, drive efficiencies and reach new target audiences. D.A.T.A offers an intuitive interface that streamlines reporting through better visuals and reporting features. View product Intersec AI Big Data Analytics Software by Intersec Intersec AI enables our telecom operator and public authority customers to fully realize the potential of our product portfolio. Intersec AI is a comprehensive AI platform that transforms telecom metadata into actionable operational intelligence at scale. As a unique technology in the market, it empowers our customers to extract meaningful insights from vast volumes of network data and significantly enhance user productivity. With Intersec AI, users benefit from advanced telecom metadata analysis, such as behavioral analytics and real-time alerts, as well as intelligent assistance that makes powerful data intelligence accessible through natural language interactions. Unlike conventional AI tools, Intersec AI provides not only advanced machine learning, but also a complete environment for efficient, secure, and scalable deployment, including orchestration, resource management, and cloud hosting. We prioritize privacy, security, and regulatory compliance. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:27 |
https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/CloudWatch-InternetMonitor.html | Verwenden von Internet Monitor - Amazon CloudWatch Verwenden von Internet Monitor - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. Verwenden von Internet Monitor Internet Monitor bietet Einblick in die Auswirkungen von Internetproblemen auf die Leistung und Verfügbarkeit zwischen Ihren Anwendungen, auf denen Sie gehostet werden, AWS und Ihren Endbenutzern. Dadurch kann die Zeit, die Sie für die Diagnose von Internetproblemen benötigen, von Tagen auf Minuten reduziert werden. Internet Monitor verwendet die Konnektivitätsdaten, die er aus seinem globalen Netzwerknetz AWS erfasst, um eine Ausgangsbasis für Leistung und Verfügbarkeit für den mit dem Internet verbundenen Datenverkehr zu berechnen. Dabei handelt es sich um dieselben Daten, die zur Überwachung der Verfügbarkeit und Verfügbarkeit des Internets AWS verwendet werden. Auf der Grundlage dieser Messungen macht Internet Monitor Sie darauf aufmerksam, wenn bei Ihren Endbenutzern (Clients) an den verschiedenen geografischen Standorten, an denen Ihre Anwendung läuft, erhebliche Probleme auftreten. In der CloudWatch Amazon-Konsole können Sie sich eine globale Ansicht der Verkehrsmuster und Gesundheitsereignisse anzeigen lassen und auf einfache Weise Informationen zu Ereignissen mit unterschiedlichen geografischen Granularitäten (Standorten) abrufen. Sie können die Auswirkungen klar visualisieren und die betroffenen Kundenstandorte und Netzwerke (ASNsin der Regel Internetdienstanbieter ISPs) genau bestimmen. Wenn Internet Monitor feststellt, dass ein Problem mit der Verfügbarkeit oder Leistung des Internets durch eine bestimmte ASN oder durch das AWS Netzwerk verursacht wird, werden diese Informationen bereitgestellt. Erstellen Sie zunächst einen Monitor, der eine oder mehrere Ressourcen umfasst, sodass Internet Monitor ein Verkehrsprofil für Ihre AWS Anwendung erstellen kann. Sehen Sie sich anschließend Informationen im Dashboard von Internet Monitor an, um Daten über den Internetverkehr Ihrer Anwendung zu visualisieren sowie Einblicke und Vorschläge zu erhalten. Informationen zum regionalen Support, zu Preisen, zur Funktionsweise von Internet Monitor und weitere Inhalte finden Sie unter Was ist Internet Monitor? . Um die Arbeit mit Internet Monitor zu beginnen, siehe Erste Schritte mit Internet Monitor in der Konsole . JavaScript ist in Ihrem Browser nicht verfügbar oder deaktiviert. Zur Nutzung der AWS-Dokumentation muss JavaScript aktiviert sein. Weitere Informationen finden auf den Hilfe-Seiten Ihres Browsers. Dokumentkonventionen Service-verknüpfte Rollen Was ist Internet Monitor? Hat Ihnen diese Seite geholfen? – Ja Vielen Dank, dass Sie uns mitgeteilt haben, dass wir gute Arbeit geleistet haben! Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, was wir richtig gemacht haben, damit wir noch besser werden? Hat Ihnen diese Seite geholfen? – Nein Vielen Dank, dass Sie uns mitgeteilt haben, dass diese Seite überarbeitet werden muss. Es tut uns Leid, dass wir Ihnen nicht weiterhelfen konnten. Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, wie wir die Dokumentation verbessern können? | 2026-01-13T09:29:27 |
https://docs.brightdata.com/api-reference/web-scraper-api/social-media-apis/instagram#param-post-type | Instagram API Scrapers - Bright Data Docs Skip to main content Bright Data Docs home page English Search... ⌘ K Support Sign up Sign up Search... Navigation Social Media APIs Instagram API Scrapers Welcome Proxy Infrastructure Web Access APIs Data Feeds AI API Reference General Integrations Overview Authentication Terminology Postman collection Python SDK JavaScript SDK Products Unlocker API SERP API Marketplace Dataset API Web Scraper API POST Asynchronous Requests POST Synchronous Requests POST Crawl API Delivery APIs Management APIs Social Media APIs Overview Facebook Instagram LinkedIn TikTok Reddit Twitter Pinterest Quora Vimeo YouTube Scraper Studio API Scraping Shield Proxy Networks Proxy Manager Unlocker & SERP API Deep Lookup API (Beta) Administrative API Account Management API On this page Overview Profiles API Collect by URL Posts API Collect by URL Discover by URL Comments API Collect by URL Reels API Collect by URL Discover by URL Social Media APIs Instagram API Scrapers Copy page Copy page Overview The Instagram API Suite offers multiple types of APIs, each designed for specific data collection needs from Instagram. Below is an overview of how these APIs connect and interact, based on the available features: Profiles API This API allows users to collect profile details based on a single input: profile URL. Discovery functionality : N/A Interesting Columns : followers , post_count , post_hashtags , profile_name . Posts API This API allows users to collect multiple posts based on a single input URL (such as an Instagram reels URL, search URL or profile URL). Discovery functionality : - Direct URL of the Instagram reel - Direct URL of the search - Direct URL of the profile Interesting Columns : url , followers , hashtags , engagement_score_view . Comments API This API allows users to collect multiple comments from a post using its URL. Discovery functionality : N/A Interesting Columns : comment_user , comment , likes_number , replies_number . The suite of APIs is designed to offer flexibility for targeted data collection, where users can input specific URLs to gather detailed post and comment data, either in bulk or with precise filtering options. Profiles API Collect by URL This API allows users to collect detailed data about an Instagram profile by providing the profile URL. It provides a comprehensive overview of an Instagram profile, including business and engagement information, posts, and user details. Input Parameters URL string required The Instagram profile URL. Output Structure Includes comprehensive data points: Page/Profile Details : account , id , followers , posts_count , is_business_account , is_professional_account , is_verified , avg_engagement , profile_name , profile_url , profile_image_link , and more. For all data points, click here . Posts API Collect by URL This API enables users to collect detailed data from Instagram posts by providing a post URL. Input Parameters URL string required The Instagram post URL. Output Structure Includes comprehensive data points: Post Details : post_id , description , hashtags , date_posted , num_comments , likes , content_type , video_view_count , video_play_count , and more. For all data points, click here . Page/Profile Details : user_posted , followers , posts_count , profile_image_link , is_verified , profile_url . We provide a limited set of data points about the profile. Attachments and Media : photos , videos , thumbnail , display_url (link only, not the file itself), audio. Discover by URL This API allows users to discover recent Instagram posts from a public profile by providing the profile URL and specifying additional parameters. Input Parameters URL string required The Instagram profile URL. num_of_posts number The number of recent posts to collect. If omitted, there is no limit. posts_to_not_include array Array of post IDs to exclude from the results. start_date string Start date for filtering posts in MM-DD-YYYY format (should be earlier than end_date). end_date string End date for filtering posts in MM-DD-YYYY format (should be later than start_date). post_type string Specify the type of posts to collect (e.g., post, reel). Output Structure Includes comprehensive data points: Post Details: post_id , description , hashtags , date_posted , num_comments , likes , video_view_count , video_play_count ,and more. For all data points, click here . Page/Profile Details: user_posted , followers , posts_count , profile_image_link , is_verified , profile_url , is_paid_partnership , partnership_details , user_posted_id Attachments and Media: photos , videos , thumbnail , audio , display_url , content_type , product_type , coauthor_producers , tagged_users . This API is designed to allow for filtering, exclusion of specific posts, and collecting posts by type (regular post or reel) within a defined time frame. It provides detailed post and profile information, making it ideal for data collection and analytics. Comments API Collect by URL This API allows users to collect the latest comments from a specific Instagram post by providing the post URL. This API retrieves the most recent 10 comments along with associated metadata. Input Parameters URL string required The Instagram post URL. Output Structure Includes comprehensive data points: Comment Details : comment_id , comment_user , comment_user_url , comment_date , comment , likes_number , replies_number , replies , hashtag_comment , tagged_users_in_comment , and more. For all data points, click here . User Details : user_name , user_id , user_url We provide a limited set of data points about the profile. Post Metadata : post_url , post_user , post_id . Reels API Collect by URL This API allows users to collect detailed data about Instagram reels from public profiles by providing the reel URL. Input Parameters URL string required The Instagram reel URL. Output Structure Includes comprehensive data points: Reel Details : post_id , description , hashtags , date_posted , tagged_users , num_comments , likes , views , video_play_count , length , and more. For all data points, click here . Page/Profile Details : user_posted , followers , posts_count , profile_image_link , is_verified , profile_url . We provide a limited set of data points about the profile. Attachments and Media : video_url , thumbnail , audio_url . Discover by URL This API allows users to discover Instagram Reels videos from a profile URL or direct search URL. Input Parameters URL string required The Instagram profile or direct search URL. num_of_posts number The number of recent reels to collect. If omitted, there is no limit. posts_to_not_include array Array of post IDs to exclude from the results. start_date string Start date for filtering reels in MM-DD-YYYY format. end_date string End date for filtering reels in MM-DD-YYYY format (should be later than start_date ). Output Structure Includes comprehensive data points: Reel Details : post_id , description , hashtags , date_posted , num_comments , likes , views , video_play_count , top_comments , length , video_url , audio_url , content_id , and more. For all data points, click here . Profile Details : user_posted , followers , posts_count , following . Attachments and Media : video_url , thumbnail , audio_url (link only, not the file itself). This API provides detailed information about Instagram Reels, with filtering options by date range, exclusion of specific posts, and a limit on the number of reels collected. Was this page helpful? Yes No Facebook LinkedIn ⌘ I linkedin youtube github Powered by | 2026-01-13T09:29:27 |
https://slack.engineering/2018/ | Engineering at Slack 2018 – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #2018 September 11, 2018 1 min read @Derek Hollis Highlights from Slack’s August Mobile Meetup Slack believes in making our users’ working lives simpler, more pleasant, and more productive. This is true… August 9, 2018 10 min read @Alisha Ukani Re-architecting Slack’s Workspace Preferences: How to Move to an EAV Model to Support Scalability Scaling is hard. Design decisions that initially seemed reasonable break down with little warning, and suddenly… July 31, 2018 13 min read @Liang Shi Unified Cross-Platform Performance Metrics With the fast pace of life today, people expect information to be available to them at the speed of light,… July 25, 2018 8 min read @Amy Shan Streamlining Your Workflow: Debugging for HHVM Digging through a large codebase to locate a bug can feel incredibly overwhelming, especially for a junior… June 19, 2018 11 min read @Erica Engle @Kaya Thomas Ways we make the Slack iOS app accessible Ever needed to squint to see some text? How about feeling unsure where a button is because it’s… April 26, 2018 12 min read @Max Feldman Moving Fast and Securing Things For development teams, process can often be antithetical to speed. Ease of deployment and security tend to have… January 31, 2018 28 min read @Machisté N. Quintana Interop’s Labyrinth: Sharing Code Between Web & Electron Apps While it’s no secret that the cross-platform Slack Desktop app is built on Electron, it might be slightly less… January 25, 2018 7 min read @Brenda Jin Evolving the Slack API You know how to design a good API, but how do you evolve that API when it’s time to make changes? We’ve faced… Posts pagination 1 2 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/Investigation-Notes.html | Sun's Hudson deployment : Investigation Notes Sun's Hudson deployment Home Sun's Hudson deployment : Investigation Notes Created by Unknown User (kohsuke) , last modified on Apr 02, 2008 This page intends to capture records of investigations about problems. Archived artifact is missing Artifact Archiving Hangs Artifact download hang in wssqe25 Forked process failing to exec Forking Maven fails on wssqe25 hudson.sfbay shuts down seemingly automatically JVM crash at memcpy+0x1c Slow builds on Jennings SVN check out hang Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
https://easi.net/en/solutions/spoom?trk=products_details_guest_secondary_call_to_action | Spoom - Enterprise Performance Management Software | EASI Skip to main content Hit enter to search Search Close Menu " class="we-megamenu-nolink"> Applications " class="we-megamenu-nolink"> Business applications Adfinity Accounting and financial management software SmartSales Field sales application Smartshare Collaborative software for modern teams Spoom Entreprise Performance Management software " class="we-megamenu-nolink"> Services Salesforce adoption and integration Microsoft Sharepoint development IBM i application modernization HCL Notes development Tailor-made software development Mobile development UX-UI services " class="we-megamenu-nolink"> Data & Reporting Business Intelligence Data Excellence Data Lakehouse Enterprise Performance Management " class="we-megamenu-nolink"> CRM Salesforce " class="we-megamenu-nolink"> Real Estate Adfinity Real Estate Rooftop for Property Managers " class="we-megamenu-nolink"> Modern workplace " class="we-megamenu-nolink"> Solutions A.I. 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Enterprise Performance Management software, or EPM, serves as your enterprise's strategic orchestrator, similar to the pilot's dashboard in an airplane, giving you a clear, unified view of all crucial operational metrics. This platform not only streamlines and analyzes business performance but also ensures that your financial strategies are perfectly aligned with your corporate goals. Why Spoom? Without Spoom - Reports are isolated Do you truly have a comprehensive overview? Across your company, various reports are generated, data and statistics are regularly updated, and considerable time is devoted to these tasks. Sales, marketing, customer service, production, HR—each department has its own reports and KPIs. But what do you do with all this data? Does every stakeholder have access to it? Do you recall why you're tracking all these details? Can you see how these KPIs affect your company's goals and vision? Most importantly, is everyone aware that this information exists? With Spoom - Get the bigger picture Make connections between different data that were previously spread across different departments. Visualize the impact of KPIs on your companies goals and vision , and discover new opportunities . Create clarity when you and your employees need it most and see the impact of data on your future business, company and teams. Make sure everybody is on the same page and every action taken by your employees can be linked to your strategy. Budgeting and Forecasting Go beyond guesswork with advanced budgeting and forecasting tools that allow for precise financial planning and future trend prediction. Dashboards and no-nonsense Scorecards Keep your finger on the pulse of your organization with customizable dashboards and scorecards , making it easy to track progress and make necessary adjustments. Reporting and Analysis Transform raw data into actionable insights with powerful reporting tools that help you understand and enhance your business performance. Budgeting and Forecasting Go beyond guesswork with advanced budgeting and forecasting tools that allow for precise financial planning and future trend prediction. Dashboards and no-nonsense Scorecards Keep your finger on the pulse of your organization with customizable dashboards and scorecards , making it easy to track progress and make necessary adjustments. Reporting and Analysis Transform raw data into actionable insights with powerful reporting tools that help you understand and enhance your business performance. Budgeting and Forecasting Go beyond guesswork with advanced budgeting and forecasting tools that allow for precise financial planning and future trend prediction. Dashboards and no-nonsense Scorecards Keep your finger on the pulse of your organization with customizable dashboards and scorecards , making it easy to track progress and make necessary adjustments. Reporting and Analysis Transform raw data into actionable insights with powerful reporting tools that help you understand and enhance your business performance. Highly Advanced User Role & Access Management Control who sees what — down to the finest detail. With granular role and access settings, you decide exactly who gets access to which data and features. Secure, transparent, and perfectly aligned with your organizational structure. Presentation Mode From analysis to story — in one click. Presentation mode turns reports, dashboards, and insights into a clear, visually engaging format, ideal for meetings and strategic updates. Automated PDF Export Need to share insights? Easy. Export and send reports, budgets, or dashboards to PDF with a single click. Perfect for archiving, offline use, or quickly sharing with colleagues and stakeholders. Faster Multi-Datasource Setup Efficiently integrate multiple data sources using our native data model and built-in scripting tools. Our Master Data Management tool ensures data accuracy and consistency across systems. Benefit from real-time reporting for instant insights and quick decision-making. Streamline your data handling process and enhance overall efficiency with these powerful capabilities. Insights and Predictive Analytics Harness the power of AI to detect critical attention points through automated trend analysis, including averages and extreme outliers. Utilize statistical algorithms on big data to forecast key business metrics such as cash flow planning. These advanced tools provide deep insights, enabling proactive decision-making and strategic planning to optimize your business outcomes. Stay ahead of the curve by anticipating changes and adapting strategies accordingly. Out-of-the box Financial Reporting and KPI Standardization Utilize standardized KPIs tailored to industry standards and backed by our extensive experience and real-world use cases. Gain comprehensive insights with full financial reporting features, including Profit & Loss statements, aging balances, cash flow analysis, and more. These tools are designed to align with your strategic objectives, providing clear, actionable data to drive business success. Streamline your reporting processes and make informed decisions with precision and ease. See more EPM is a BI solution Spoom is a BI solution that natively proposes possibilities for Entreprise Performance Management (a.k.a. Company-wide Management Reporting) that are impossible or very complex (i.e. expensive/error-prone) in classical BI tools. See how we do it How our customers are succeeding thanks to Spoom Change Management & alignment Effective change management is crucial in the implementation of Enterprise Performance Management solutions, requiring buy-in from all stakeholders, including C-level and IT departments. This ensures alignment across the organization, facilitating a smoother transition and integration. By involving these key players early in the process, we can address concerns, tailor the solution to meet diverse needs, and enhance the overall success of the implementation. Data specialist Easi is a seasoned third-party data implementer that empowers your teams to make significant strides and fosters internal alignment. Our team features a diverse mix of business-oriented consultants, certified data engineers, and data scientists. This composition allows us to align complex data queries with your business requirements seamlessly, ensuring optimal integration and functionality. Single Source Of Truth with AI insights We believe that, thanks to AI, increasingly fewer tasks will require a user interface, especially in the context of EPM with many users. Where other AI models may currently fall short, our innovative built-in AI enables your data insights to truly excel. This technology establishes a single source of truth, optimizing and enhancing your business operations. Take your existing business intelligence tools to another level Whether you track your KPIs in Excel, visualize data in Power BI, QlikView, SAP, Oracle, SalesForce, Adfinity, Tableau, DataStudio, or others... Thanks to our handy API connector, you can include even more data in your reporting. Integrate it automatically or update manually: however you work, both mass import and export of data is possible through our powerful ETL process. Our powerful data analysis engine allows you to mix different types of data sources . Therefore, all dimensions of your data are explored to visualize the true performance axes of your business with Spoom . Integrating EPM software with a Financial ERP like Adfinity enhances organizational financial processes. This combination improves financial planning, budgeting, and forecasting by integrating with real-time financial data, leading to more accurate financial models. This integration not only saves time by automating reports but also helps in cost control by enabling managers to identify savings quickly. Additionally, it supports strategic decision-making and compliance management through improved data monitoring and insights. See more Accelerate your business growth and start here Get a free demo Get in touch with our team. Our Spoom Data experts will be happy to guide you through the tool using concrete examples with your data. Schedule a demo Get a quote Curious about the pricing of Spoom? Contact us, and we'll be happy to make you an offer tailored to your situation and needs. Get a quote × Solutions AAA Financials Adfinity Cloud2be Rooftop Security SmartSales SmartShare Spoom Synchro Production Tailorfit Services Business Intelligence services Mobile development Software development Managed services On Premise infrastructure Cosourcing End user support Incident Response Company About Easi Jobs Blog Press Customer stories Trainings Events Customer support Legal Partners Useful links Microsoft IBM Power Systems HCL Notes English Dutch Français Footer Legal info[at]easi.net +32 67 28 10 00 Contact Social LinkedIn Twitter Facebook Instagram Vimeo YouTube ® Easi | 2026-01-13T09:29:27 |
https://slack.engineering/speedup-e2e-testing/ | Optimizing Our E2E Pipeline | Engineering at Slack Optimizing Our E2E Pipeline – Engineering at Slack Skip to main content Articles About --> Search Search Close Search April 14, 2025 6 min read Optimizing Our E2E Pipeline How We Cut Our Build Times in Half Dan Carton Software Engineer Search Latest Posts December 1, 2025 10 min read Streamlining Security Investigations with Agents November 19, 2025 10 min read Android VPAT journey November 6, 2025 18 min read Build better software to build software better October 23, 2025 15 min read Advancing Our Chef Infrastructure: Safety Without Disruption October 7, 2025 11 min read Deploy Safety: Reducing customer impact from change Archives 2025 (9) 2024 (19) 2023 (16) 2022 (21) 2021 (24) 2020 (26) 2019 (21) 2018 (11) 2017 (21) 2016 (19) In the world of DevOps and Developer Experience (DevXP), speed and efficiency can make a big difference on an engineer’s day-to-day tasks. Today, we’ll dive into how Slack’s DevXP team took some existing tools and used them to optimize an end-to-end (E2E) testing pipeline. This lowered build times and reduced redundant processes, saving both time and resources for engineers at Slack. The Problem: Unnecessary Frontend Builds For one of our largest code repositories (a monolithic repository, or monorepo), Slack has a CI/CD pipeline that runs E2E tests before merging code into the <span style="font-weight: 400">main</span> branch. This is critical for ensuring that changes are validated across the entire stack for the Slack application: frontend, backend, database, and the handful of services in between. However, we noticed a bottleneck: building the frontend code was taking longer than expected and occurred too frequently, even when there were no frontend-related changes. Here’s the breakdown: Developer Workflow : A developer makes changes and pushes to a branch. Build Process : The frontend code is built (~5 minutes). Deployment : The build is deployed to a QA environment. Testing : We run over 200 E2E tests, taking another 5 minutes. This entire process took about 10 minutes per run. Half of that time, around 5 minutes, was consumed by frontend builds, even when no frontend changes were involved. Given that hundreds of pull requests (PRs) are merged daily, these redundant builds were not only time-consuming, but costly: Thousands of frontend builds per week , storing nearly a gigabyte of data per build in AWS S3. Half of these builds do not contain frontend changes compared to the last merge into <span style="font-weight: 400">main</span> , causing terabytes of duplicate data. 5 minutes per build, adding unnecessary delays to pipelines (thousands of hours a week). The Solution: Smarter Build Strategy with Cached Frontend Assets To tackle this, we leveraged existing tools to rethink our build strategy. Step 1: Conditional Frontend Builds Our first step was determining whether a fresh frontend build was necessary. We detected changes by utilizing <span style="font-weight: 400">git diff</span> and its 3-dot notation to identify the difference between the latest common commit of the current checked-out branch and <span style="font-weight: 400">main</span> . If changes were detected, we invoke a frontend build job. If no changes were detected, we skipped the build entirely and reused a prebuilt version. Step 2: Prebuilt Assets and Internal CDN When a frontend build is not needed, we locate an existing build from AWS S3. To be efficient, we use a recent frontend build that is still in Production. We delegate the task of serving the prebuilt frontend assets for our E2E tests to an internal CDN. This reduced the need for creating a new build on each PR, while still ensuring we test on current assets. The Challenges: Efficiency at Scale While the approach seemed straightforward, scaling this solution to our monorepo presented a few challenges: Identifying Frontend Changes : Our repository contains over 100,000 tracked files. Determining whether frontend changes were present required efficient file tracking, which git handled in just a couple of seconds. Finding Prebuilt Assets : With hundreds of PRs merged into this repository daily, identifying a prebuilt version that was fresh enough required robust asset management. By using straightforward S3 storage concepts, we were able to balance recency, coherent file naming, and performance to manage our assets. Being Fast: We were able to distinguish if a frontend build was unnecessary and find a recent build artifact in just under 3 seconds on average. The Results: A 60% Drop in Build Frequency and 50% Drop in Build Time Our efforts paid off, delivering remarkable improvements: 60% Reduction in Build Frequency : By intelligently reusing prebuilt frontend assets, we reduced the number of unnecessary frontend builds by over half. Hundreds of Hours Saved Monthly : Cloud compute time and developer wait times are reduced. Several Terabytes of Storage Savings : We reduced our AWS S3 storage by several terabytes each month. These duplicate assets would have otherwise been stored for one year. 50% Build Time Improvement : This was the second major project by the Frontend DevXP Team and its partnering teams. The first project, which upgraded our Webpack setup, reduced the average build from ~10 minutes to ~5 minutes. This project took the average build from ~5 minutes down to just ~2 minutes. With both projects being successful, we reduced our average build time for E2E pipelines from ~10 minutes to ~2 minutes: a huge improvement for the year! Two unexpected outcomes: More Reliable and Trustworthy E2E Results : Our test flakiness, which refers to tests failing intermittently or inconsistently despite no code changes, was significantly reduced. This improvement resulted from the optimized pipeline, decreased likelihood of needing complex frontend builds, and consistent asset delivery. We observed our lowest percentage of test flakiness as a result, based on monthly measurements. Rediscovering Legacy Code : Implementing this optimization required a deep dive into legacy code of multiple systems that hadn’t been significantly modified in a long time. This exploration yielded valuable insights, prompted new questions about the codebase’s behavior, and generated a backlog of tasks for future enhancements. Conclusion: Rethinking Frontend Build Efficiency By strategically utilizing existing tools like <span style="font-weight: 400">git diff</span> and internal CDNs, we managed to save valuable developer time, reduce cloud costs, and improve overall build efficiency. For teams in other companies facing similar bottlenecks in DevOps and DevXP, the lesson is to question what’s truly necessary in your pipeline and optimize accordingly. The improvement from this project seems obvious in hind-sight, but it’s common to overlook inefficiencies in systems that haven’t outright failed. In our case, rethinking how we handled frontend assets turned into a massive win for the organization. Acknowledgments There are a lot of moving parts in a project like this: complex pipelines for building and testing, cloud infrastructure, an internal CDN, intricate build systems for frontend code, and existing custom setups throughout our entire system. It includes code written in Python, JavaScript, Bash, PHP/Hack, Rust, YAML, and Ruby. We achieved this without any downtime! Okay, almost. There was ten minutes of internal downtime for our deployment pipeline, but it was fixed pretty quickly. This work was not possible without contributions from: Anirudh Janga, Josh Cartmell, Arminé Iradian, Anupama Jasthi, Matt Jennings, Zack Weeden, John Long, Issac Gerges, Andrew MacDonald, Vani Anantha and Dave Harrington Interested in taking on interesting projects, making people’s work lives easier, or just building some pretty cool forms? We’re hiring! 💼 Explore Opportunities # ci-cd # developer-experience # developer-productivity # devops # frontend # testing Copied! Previous Post How we built enterprise search to be secure and private Many don’t know that “Slack” is in fact a backronym—it stands for “Searchable Log of… March 7, 2025 6 min read Next Post Building Slack's Anomaly Event Response As cyberattacks evolve to unprecedented levels of sophistication and speed, the time gap between breach… September 4, 2025 9 min read Recommended Reading November 6, 2025 18 min read Build better software to build software better @David Reed October 7, 2025 11 min read Deploy Safety: Reducing customer impact from change @Sam Bailey January 7, 2025 14 min read Automated Accessibility Testing at Slack @Natalie Stormann December 16, 2024 15 min read Migration Automation: Easing the Jenkins → GHA shift with help from AI @Emmanuel Zerefa Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. 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https://slack.engineering/tags/ci-cd/ | ci-cd | Engineering at Slack ci-cd – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #ci-cd November 6, 2025 18 min read @David Reed Build better software to build software better We manage the build pipeline that delivers Quip and Slack Canvas’s backend. A year ago, we were chasing exciting… October 7, 2025 11 min read @Sam Bailey Deploy Safety: Reducing customer impact from change It’s mid 2023 and we’ve identified some opportunities to improve our reliability. Fast forward to January 2025.… April 14, 2025 6 min read @Dan Carton Optimizing Our E2E Pipeline In the world of DevOps and Developer Experience (DevXP), speed and efficiency can make a big difference on an… December 16, 2024 15 min read @Emmanuel Zerefa Migration Automation: Easing the Jenkins → GHA shift with help from AI Overview The past few months have been exciting times for Slack’s CI infrastructure. After years of developer… January 18, 2024 15 min read @Sean McIlroy The Scary Thing About Automating Deploys Most of Slack runs on a monolithic service simply called “The Webapp”. It’s big – hundreds of developers… August 19, 2022 19 min read @Frank Chen Slowing Down to Speed Up – Circuit Breakers for Slack’s CI/CD What happens when your distributed service has challenges with stampeding herds of internal requests? How do you… February 18, 2022 14 min read @Carlos Valdez @Frank Chen Balancing Safety and Velocity in CI/CD at Slack In 2021, we changed developer testing workflows for Webapp, Slack’s main monorepo, from predominantly testing… Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://www.linkedin.com/products/categories/log-management-software?trk=products_details_guest_similar_products_section_similar_products_section_product_link_result-card_subtitle-click | Best Log Management Software | Products | LinkedIn Skip to main content LinkedIn 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 Clear text Used by Used by Software Engineer (8) Cyber Security Analyst (7) Site Reliability Engineer (6) Information Technology Manager (5) Cyber Security Specialist (4) See all products Find top products in Log Management Software category Software used to create, collect, analyze, and store computer-generated event logs. - Consolidate logs in a central location and store them for an indefinite time period - Organize logs to allow search and reporting - Analyze logs for incident prevention purposes 63 results SolarWinds Papertrail Log Management Software by SolarWinds A cloud-hosted log management service that easily troubleshoots your infrastructure and apps. Free plan. Instant visibility. Syslog, text, Apache®, and Ruby on Rails. View product Devo Security Data Platform Log Management Software by Devo The Devo Security Data Platform, powered by HyperStream, provides speed and scale, real-time analytics, and actionable intelligence to protect growing and evolving environments. View product IBM QRadar Log Insights Log Management Software by IBM Security IBM Security® QRadar® Log Insights can help you gain complete visibility over your exponential and continuously growing digital footprint. Designed to address security observability needs with simple data ingestion, rapid search and powerful visualization, it's optimized to perform analytics on data with greater efficiency, providing faster insights. Plus, with the "AWS Built-in" designation, you can trust that QRadar Log Insights has been independently verified by AWS to include automated configuration elements across foundational cloud domains. ∙ Extract, investigate and pull data from anywhere ∙ Perform multiple, concurrent searches on large data subsets in seconds ∙ Detect, investigate and plan action against threats faster with smart, interactive dashboards and analytics View product Kron TLMP (Telemetry Pipeline) Log Management Software by Kron Kron Telemetry Pipeline solution simplifies communication between multiple sources and destinations, enabling you to manage your data effectively and optimize observability data infrastructure. With our telemetry pipeline, you can easily route data from a single source to multiple destinations, such as SIEM and log management tools. Data can be processed and reshaped to meet the needs of each destination as it flows through the pipelines. These modifications can include tasks such as parsing, reformatting, enriching, and masking PII (Personally identifiable information), or simply filtering out noisy data to manage infrastructure and licensing costs more efficiently. View product Log360 Log Management Software by ManageEngine Log360, a security information and event management solution, offers real-time security analytics coupled with machine-learning-based behavioral analytics and dynamic threat intelligence to simplify threat detection, prioritize and automate critical threat responses based on risks, secure data on the cloud, monitor privileged user activities, and comply with IT mandates. Key capabilities of Log360: -Dynamic threat intelligence and real-time threat detection -Actionable security analytics -End-to-end incident management -In-depth cloud security analytics -Anomaly detection driven by behavioral analytics -Real-time Active Directory auditing -Integrated compliance management -High-speed forensic analysis engine View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Kron IPDR Log Management Software by Kron As log data continues to increase exponentially, the need for efficient mechanisms that address data retention, cost management, and compliance with regulatory requirements is becoming increasingly crucial. The Kron IPDR Logging Product excels in meeting your regulatory requirements through its high-capacity data ingestion, processing, and efficient storage capabilities. Extensive Reference with Different Vendors and Topologies The product has strong references across various CGNAT topologies, multi-vendor network devices, and DPI solutions. It is designed for collecting, processing, correlating, and enriching logs with contextual information. Stream Data Integration For Data Lakes Kron IPDR Logging is a key component of data management products in your big data environment with solid references. Kron IPDR Logging allows you to reduce and reshape streaming data for existing data lakes, with distributed scalable architecture. Stored logs can be shared across the organization of the e View product Mezmo Log Management Software by Mezmo Mezmo provides a central observability platform to help control, enrich, and correlate machine data to make business decisions faster. View product vuLogX Log Management Software by VuNet Systems Discover, unify, and analyse data from across 500+ structured, unstructured, and proprietary data sources. vuLogX is built on model-driven architecture to give you enterprise-wide intelligent insights and accelerated diagnostics that enable proactive IT operations. View product Logs Monitoring Log Management Software by Atatus Atatus enables organizations to collect, analyze, and visualize log data from various systems and applications. Users can view their infrastructure and applications holistically by monitoring logs, metrics, and traces through a unified platform. 1. Gain a centralized view of your logs by tailing them from a single user interface. 2. Get real-time access to log entries, identify anomalies, and respond promptly to critical incidents. 3. Use tailing logs to track log streams continuously and pinpoint issues faster than the "tail -f" command. 4. Analyze log data to troubleshoot and resolve problems promptly, reducing downtime and improving system reliability. 5. Integrate logs from various sources into a single user interface, facilitating holistic log monitoring and enabling comprehensive analysis across your entire infrastructure. 6. You can set up automated alerts based on log patterns to mitigate potential issues before they become a problem. View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:27 |
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https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/aws-services-cloudwatch-metrics.html | AWS Dienste, die CloudWatch Metriken veröffentlichen - Amazon CloudWatch AWS Dienste, die CloudWatch Metriken veröffentlichen - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. AWS Dienste, die CloudWatch Metriken veröffentlichen Anhand der folgenden Tabelle können Sie erfahren, für welche AWS Dienste Kennzahlen veröffentlicht werden CloudWatch. Informationen zu den Metriken und Dimensionen finden Sie in der angegebenen Dokumentation. Service Namespace Dokumentation AWS Amplify AWS/AmplifyHosting Überwachung Amazon API Gateway AWS/ApiGateway Überwachen Sie die API-Ausführung mit Amazon CloudWatch Amazon AppFlow AWS/AppFlow Amazon AppFlow mit Amazon überwachen CloudWatch AWS Service zur Anwendungsmigration AWS/MGN Überwachung des Anwendungsmigrationsdienstes mit Amazon CloudWatch AWS App Runner AWS/AppRunner App Runner-Servicemetriken anzeigen, an die gemeldet wurden CloudWatch WorkSpaces Anwendungen AWS/AppStream Überwachung von Amazon AppStream 2.0-Ressourcen AWS AppSync AWS/AppSync CloudWatch Metriken Amazon Athena AWS/Athena Überwachung von Athena-Abfragen mit Metriken CloudWatch Amazon Aurora AWS/RDS Amazon Aurora-Metriken AWS Backup AWS/Backup Überwachung von AWS Backup-Metriken mit CloudWatch Integritätsschutz für Amazon Bedrock AWS/Bedrock/Guardrails Überwachung von Amazon Bedrock Guardrails mithilfe von Metriken CloudWatch AWS Fakturierung und Kostenmanagement AWS/Billing Überwachung von Gebühren mit Warnungen und Benachrichtigungen Amazon Braket AWS/Braket/By Device Überwachung von Amazon Braket mit Amazon CloudWatch AWS Certificate Manager AWS/CertificateManager Unterstützte Metriken CloudWatch AWS Private CA AWS/ACMPrivateCA Unterstützte CloudWatch Metriken Amazon Q Developer in Chat-Anwendungen AWS/Chatbot Überwachung von Amazon Q Developer in Chat-Anwendungen mit Amazon CloudWatch Amazon Chime AWS/ChimeVoiceConnector Überwachung Amazon Chime mit Amazon CloudWatch Amazon Chime SDK AWS/ChimeSDK Servicemetriken AWS Client VPN AWS/ClientVPN Überwachung mit Amazon CloudWatch Amazon CloudFront AWS/CloudFront CloudFront Aktivität überwachen mit CloudWatch AWS CloudHSM AWS/CloudHSM CloudWatch Metriken abrufen Amazon CloudSearch AWS/CloudSearch Überwachung einer CloudSearch Amazon-Domain mit Amazon CloudWatch AWS CloudTrail AWS/CloudTrail Unterstützte CloudWatch Metriken CloudWatch Agent CWAgent oder ein benutzerdefinierter Namespace Vom CloudWatch Agenten gesammelte Metriken CloudWatch Anwendungssignale ApplicationSignals Von Application Signals erfasste Metriken CloudWatch metrische Streams AWS/CloudWatch/MetricStreams Überwachen Sie Ihre metrischen Streams mit CloudWatch Metriken CloudWatch RUM AWS/RUM CloudWatch Metriken, die Sie mit CloudWatch RUM sammeln können CloudWatch Synthetics CloudWatchSynthetics CloudWatch Von den Kanaren veröffentlichte Metriken CloudWatch Amazon-Protokolle AWS/Logs Überwachung der Nutzung mit CloudWatch Metriken AWS CodeBuild AWS/CodeBuild Überwachung AWS CodeBuild CodeGuru Amazon-Rezensent CodeGuru Überprüfer mit Amazon überwachen CloudWatch AWS CodePipeline AWS CodePipeline CloudWatch Metriken Amazon Kendra Überwachung von Amazon Kendra mit Amazon CloudWatch Amazon Cognito AWS/Cognito Überwachung von Amazon Cognito Amazon Comprehend AWS/Comprehend Überwachung von Endpunkten Amazon Comprehend AWS Config AWS/Config AWS Config Nutzungs- und Erfolgsmetriken Amazon Connect AWS/Connect Überwachung von Amazon Connect in Amazon CloudWatch Metrics Amazon Data Lifecycle Manager AWS/DataLifecycleManager Überwachen Sie Ihre Richtlinien mit Amazon CloudWatch AWS DataSync AWS/DataSync Überwachung Ihrer Aufgabe Amazon DataZone Amazon DataZone mit Amazon überwachen CloudWatch Amazon DevOps Guru AWS/DevOps-Guru Überwachung Amazon DevOps Guru mit Amazon CloudWatch AWS Database Migration Service AWS/DMS AWS DMS Aufgaben überwachen Direct Connect AWS/DX Überwachung mit Amazon CloudWatch AWS Directory Service AWS/DirectoryService Ermitteln Sie anhand von CloudWatch Amazon-Metriken, wann Domain-Controller hinzugefügt werden müssen Amazon DocumentDB AWS/DocDB Überwachen von Amazon DocumentDB mit CloudWatch Amazon DynamoDB AWS/DynamoDB DynamoDB-Metriken und -Dimensionen DynamoDB Accelerator (DAX) AWS/DAX Anzeigen von DAX-Metriken und -Dimensionen Amazon EC2 AWS/EC2 Überwachen Sie Ihre Instances mit CloudWatch Amazon EC2 Elastic Graphics AWS/ElasticGPUs Verwendung von CloudWatch Metriken zur Überwachung von Elastic Graphics Amazon EC2 Spot-Flotte AWS/EC2Spot CloudWatch Metriken für Spot Fleet Amazon EC2 Auto Scaling AWS/AutoScaling Überwachen Sie Ihre Auto Scaling Scaling-Gruppen und -Instances mithilfe von CloudWatch AWS Elastic Beanstalk AWS/ElasticBeanstalk Veröffentlichen CloudWatch benutzerdefinierter Amazon-Metriken für eine Umgebung Amazon Elastic Block Store AWS/EBS CloudWatch Amazon-Metriken für Amazon EBS Amazon Elastic Container Registry AWS/ECR Amazon-ECR-Repository-Metriken Amazon Elastic Container Service AWS/ECS Amazon CloudWatch ECS-Metriken Amazon ECS über CloudWatch Container Insights ECS/ContainerInsights Metriken von Amazon ECS Container Insights Auto Scaling für Amazon-ECS-Cluster AWS/ECS/ManagedScaling Auto Scaling für Amazon-ECS-Cluster AWS Elastic Disaster Recovery CloudWatch Metriken für DRS Amazon Elastic File System AWS/EFS Überwachung mit CloudWatch Amazon Elastic Inference AWS/ElasticInference Verwendung von CloudWatch Metriken zur Überwachung von Amazon Elastic Inference Amazon EKS AWS/EKS Grundlegende Kennzahlen in Amazon CloudWatch Amazon EKS über CloudWatch Container Insights ContainerInsights Container-Insights-Metriken für Amazon EKS und Kubernetes Elastic Load Balancing AWS/ApplicationELB CloudWatch Metriken für Ihren Application Load Balancer Elastic Load Balancing AWS/NetworkELB CloudWatch Metriken für Ihren Network Load Balancer Elastic Load Balancing AWS/GatewayELB CloudWatch Metriken für Ihren Gateway Load Balancer Elastic Load Balancing AWS/ELB CloudWatch Metriken für Ihren Classic Load Balancer Amazon Elastic Transcoder AWS/ElasticTranscoder Überwachung mit Amazon CloudWatch Amazon ElastiCache (Memcached) AWS/ElastiCache Überwachung der Nutzung mit Metriken CloudWatch Amazon ElastiCache (Redis OSS) AWS/ElastiCache Überwachung der Nutzung mit Metriken CloudWatch OpenSearch Amazon-Dienst AWS/ES Überwachung von OpenSearch Cluster-Metriken mit Amazon CloudWatch Amazon EMR AWS/ElasticMapReduce Überwachen Sie Metriken mit CloudWatch Amazon EMR AWS/EMRServerless Überwachung von EMR-Serverless-Anwendungen und -Aufträgen AWS Elemental MediaConnect AWS/MediaConnect Überwachung MediaConnect mit Amazon CloudWatch AWS Elemental MediaConvert AWS/MediaConvert Verwenden von CloudWatch Metriken zum Anzeigen von Metriken für AWS Elemental MediaConvert Ressourcen AWS Elemental MediaLive AWS/MediaLive Aktivitäten anhand von CloudWatch Amazon-Metriken überwachen AWS Elemental MediaPackage AWS/MediaPackage Überwachung AWS Elemental MediaPackage mit Amazon CloudWatch Metrics AWS Elemental MediaStore AWS/MediaStore Überwachung AWS Elemental MediaStore mit Amazon CloudWatch Metrics AWS Elemental MediaTailor AWS/MediaTailor Überwachung AWS Elemental MediaTailor mit Amazon CloudWatch AWS SMS-Nachrichten für Endbenutzer AWS/SMSVoice Überwachung von SMS-Nachrichten für AWS Endbenutzer mit Amazon CloudWatch AWS Nachrichtenübermittlung für Endbenutzer in sozialen Netzwerken AWS/SocialMessaging Überwachung von Social Messaging für AWS Endbenutzer mit Amazon CloudWatch Amazon EventBridge AWS/Events Überwachung von Amazon EventBridge Amazon FinSpace Protokollieren und überwachen Amazon Forecast CloudWatch Metriken für Amazon Forecast Amazon Fraud Detector Überwachung von Amazon Fraud Detector mit Amazon CloudWatch Amazon FSx für Lustre AWS/FSx Amazon im Hinblick auf FSx Lustre überwachen Amazon FSx für OpenZFS AWS/FSx Überwachung mit Amazon CloudWatch Amazon FSx für Windows-Dateiserver AWS/FSx Überwachung von Amazon FSx für Windows-Dateiserver Amazon FSx für NetApp ONTAP AWS/FSx Überwachung mit Amazon CloudWatch Amazon FSx für OpenZFS AWS/FSx Überwachung mit Amazon CloudWatch GameLift Amazon-Server AWS/GameLift Überwachen Sie GameLift Amazon-Server mit CloudWatch AWS Global Accelerator AWS/GlobalAccelerator Amazon verwenden CloudWatch mit AWS Global Accelerator AWS Glue Glue Überwachung AWS Glue mithilfe von CloudWatch Metriken AWS Ground Station AWS/GroundStation Metriken mit Amazon CloudWatch AWS HealthLake AWS/HealthLake Überwachung HealthLake mit CloudWatch Amazon Inspector AWS/Inspector Überwachung von Amazon Inspector mithilfe CloudWatch Amazon Interactive Video Service AWS/IVS Überwachung von Amazon IVS mit Amazon CloudWatch Amazon Interactive Video Service Chat AWS/IVSChat Überwachung von Amazon IVS mit Amazon CloudWatch AWS IoT AWS/IoT AWS IoT Metriken und Dimensionen AWS IoT Analytics AWS/IoTAnalytics Namespace, Metriken und Dimensionen AWS IoT FleetWise AWS/IoTFleetWise Überwachung des AWS IoT FleetWise mit Amazon CloudWatch AWS IoT SiteWise AWS/IoTSiteWise Überwachung AWS IoT SiteWise mit CloudWatch Amazon-Metriken AWS IoT TwinMaker AWS/IoTTwinMaker Überwachung AWS IoT TwinMaker mit CloudWatch Amazon-Metriken AWS Key Management Service AWS/KMS Überwachung mit CloudWatch Amazon Keyspaces (für Apache Cassandra) AWS/Cassandra Amazon Keyspaces-Metriken und -Dimensionen Amazon Kendra Überwachung von Amazon Kendra mit Amazon CloudWatch Amazon Managed Service für Apache Flink AWS/KinesisAnalytics Managed Service für Apache Flink für SQL-Anwendungen: Überwachung mit CloudWatch Managed Service für Apache Flink für Apache Flink : Anzeigen von Metriken und Dimensionen von Amazon Managed Service für Apache Flink Amazon Data Firehose AWS/Firehose Überwachung von Firehose mithilfe von Metriken CloudWatch Amazon Kinesis Data Streams AWS/Kinesis Überwachung von Amazon Kinesis Data Streams mit Amazon CloudWatch Amazon Kinesis Video Streams AWS/KinesisVideo Überwachen von Kinesis Video Streams Streams-Metriken mit CloudWatch AWS Lambda AWS/Lambda AWS Lambda Metriken Amazon Lex AWS/Lex Überwachung von Amazon Lex mit Amazon CloudWatch AWS License Manager AWSLicenseManager/licenseUsage AWS/LicenseManager/LinuxSubscriptions Überwachung der Lizenznutzung mit Amazon CloudWatch Nutzungsmetriken und CloudWatch Amazon-Alarme für Linux-Abonnements Amazon Location Service AWS/Location Nach Amazon exportierte Amazon Location Service Service-Metriken CloudWatch Amazon Lookout für Equipment AWS/lookoutequipment Überwachung von Lookout for Equipment mit Amazon CloudWatch Amazon Lookout für Vision AWS/LookoutVision Überwachung von Lookout for Vision mit Amazon CloudWatch AWS Mainframe-Modernisierung Überwachung der AWS Mainframe-Modernisierung mit Amazon CloudWatch Amazon Machine Learning AWS/ML Überwachung von Amazon ML mit CloudWatch Metriken Amazon Managed Blockchain AWS/managedblockchain Hyperledger Fabric Peer Node Metrics auf Amazon Managed Blockchain verwenden Amazon Managed Service für Prometheus AWS/Prometheus CloudWatch Amazon-Metriken Amazon Managed Streaming für Apache Kafka AWS/Kafka Überwachung von Amazon MSK mit Amazon CloudWatch Amazon Managed Streaming für Apache Kafka AWS/KafkaConnect Überwachen von MSK Connect Von Amazon verwaltete Workflows für Apache Airflow AWS/MWAA Container-, Warteschlangen- und Datenbankmetriken für Amazon MWAA Amazon MemoryDB AWS/MemoryDB Überwachung von Metriken CloudWatch Amazon MQ AWS/AmazonMQ Überwachung von Amazon MQ-Brokern mithilfe von Amazon CloudWatch Amazon Neptune AWS/Neptune Überwachung von Neptune mit CloudWatch AWS Network Firewall AWS/NetworkFirewall AWS Network Firewall Metriken in Amazon CloudWatch AWS Netzwerkmanager AWS/NetworkManager CloudWatch Metriken für lokale Ressourcen AWS HealthOmics AWS/Omics Überwachung AWS HealthOmics mit Amazon CloudWatch AWS Outposts AWS/Outposts CloudWatch Metriken für AWS Outposts AWS Panorama AWS/PanoramaDeviceMetrics Überwachung von Appliances und Anwendungen mit Amazon CloudWatch Amazon Personalize AWS/Personalize CloudWatch Metriken für Amazon Personalize Amazon Pinpoint AWS/Pinpoint Amazon Pinpoint Metriken anzeigen in CloudWatch Amazon Polly AWS/Polly Integration CloudWatch mit Amazon Polly AWS PrivateLink AWS/PrivateLinkEndpoints CloudWatch Metriken für AWS PrivateLink AWS PrivateLink AWS/PrivateLinkServices CloudWatch Metriken für AWS PrivateLink AWS Privates 5G AWS/Private5G CloudWatch Amazon-Metriken Amazon Q Apps AWS/QApps Überwachung von Amazon Q Business und Amazon Q Apps mit Amazon CloudWatch Amazon Q Business AWS/QBusiness Überwachung von Amazon Q Business und Amazon Q Apps mit Amazon CloudWatch Amazon Q Developer AWS/Q Überwachung von Amazon Q Developer mit Amazon CloudWatch Amazon Quick Suite AWS/QuickSight Überwachung mit Amazon CloudWatch Amazon Redshift AWS/Redshift Leistungsdaten von Amazon Redshift Amazon Relational Database Service AWS/RDS Überwachung von Amazon RDS-Metriken mit Amazon CloudWatch Amazon Rekognition AWS/Rekognition Überwachung von Rekognition mit Amazon CloudWatch AWS re:Post Privat AWS/rePostPrivate AWS re:Post Private Überwachung mit Amazon CloudWatch Amazon Route 53 AWS/Route53 Überwachung von Amazon Route 53 Route 53 Application Recovery-Controller AWS/Route53RecoveryReadiness Amazon CloudWatch mit Application Recovery Controller verwenden Amazon SageMaker KI AWS/SageMaker Überwachung von SageMaker KI mit CloudWatch Amazon SageMaker KI-Modellerstellungspipelines AWS/SageMaker/ModelBuildingPipeline SageMaker Kennzahlen zu KI-Pipelines AWS Secrets Manager AWS/SecretsManager Überwachung von Secrets Manager mit Amazon CloudWatch Amazon Security Lake AWS/SecurityLake CloudWatch Metriken für Amazon Security Lake Servicekatalog AWS/ServiceCatalog CloudWatch Kennzahlen Service Catalog AWS Shield Advanced AWS/DDoSProtection Überwachung mit CloudWatch Amazon Simple Email Service AWS/SES Amazon SES SES-Ereignisdaten werden abgerufen von CloudWatch AWS SimSpace Weaver AWS/simspaceweaver Überwachung AWS SimSpace Weaver mit Amazon CloudWatch Amazon Simple Notification Service AWS/SNS Überwachung von Amazon SNS mit CloudWatch Amazon Simple Queue Service AWS/SQS Überwachen Amazon SQS SQS-Warteschlangen mithilfe CloudWatch Amazon S3 AWS/S3 Metriken mit Amazon überwachen CloudWatch S3 Storage Lens AWS/S3/Storage-Lens Überwachen Sie die Metriken von S3 Storage Lens in CloudWatch Amazon Simple Workflow Service AWS/SWF Amazon SWF-Metriken für CloudWatch AWS Step Functions AWS/States Step Functions überwachen mit CloudWatch AWS Storage Gateway AWS/StorageGateway Verwenden von CloudWatch Amazon-Metriken AWS Systems Manager Befehl ausführen AWS/SSM-RunCommand Überwachen von Run-Command-Metriken mit CloudWatch Amazon Textract AWS/Textract CloudWatch Metriken für Amazon Textract Amazon Timestream AWS/Timestream Timestream-Metriken und Dimensionen AWS Transfer for SFTP AWS/Transfer AWS SFTP CloudWatch Metriken Amazon Transcribe AWS/Transcribe Überwachung Amazon Transcribe mit Amazon CloudWatch Amazon Translate AWS/Translate CloudWatch Metriken und Dimensionen für Amazon Translate AWS Trusted Advisor AWS/TrustedAdvisor Trusted Advisor Advisor-Alarme erstellen mit CloudWatch Amazon VPC AWS/NATGateway Überwachen Sie Ihr NAT-Gateway mit CloudWatch Amazon VPC AWS/TransitGateway CloudWatch Metriken für Ihre Transit-Gateways Amazon VPC AWS/VPN Überwachung mit CloudWatch Amazon VPC IP Address Manager AWS/IPAM Alarme mit Amazon erstellen CloudWatch AWS WAF AWS/WAFV2 für AWS WAF Ressourcen WAF für AWS WAF klassische Ressourcen Überwachung mit CloudWatch Amazon WorkMail AWS/WorkMail Überwachung Amazon WorkMail mit Amazon CloudWatch Amazon WorkSpaces AWS/WorkSpaces Überwachen Sie Ihre WorkSpaces CloudWatch Nutzungsmetriken Amazon WorkSpaces Web AWS/WorkSpacesWeb Überwachung von Amazon WorkSpaces Web mit Amazon CloudWatch JavaScript ist in Ihrem Browser nicht verfügbar oder deaktiviert. Zur Nutzung der AWS-Dokumentation muss JavaScript aktiviert sein. Weitere Informationen finden auf den Hilfe-Seiten Ihres Browsers. Dokumentkonventionen Alarme für Metriken setzen, die mit dem eingebetteten Metrikformat erstellt wurden AWS Nutzungsmetriken Hat Ihnen diese Seite geholfen? – Ja Vielen Dank, dass Sie uns mitgeteilt haben, dass wir gute Arbeit geleistet haben! Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, was wir richtig gemacht haben, damit wir noch besser werden? Hat Ihnen diese Seite geholfen? – Nein Vielen Dank, dass Sie uns mitgeteilt haben, dass diese Seite überarbeitet werden muss. Es tut uns Leid, dass wir Ihnen nicht weiterhelfen konnten. Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, wie wir die Dokumentation verbessern können? | 2026-01-13T09:29:27 |
https://slack.engineering/speedup-e2e-testing/ | Optimizing Our E2E Pipeline | Engineering at Slack Optimizing Our E2E Pipeline – Engineering at Slack Skip to main content Articles About --> Search Search Close Search April 14, 2025 6 min read Optimizing Our E2E Pipeline How We Cut Our Build Times in Half Dan Carton Software Engineer Search Latest Posts December 1, 2025 10 min read Streamlining Security Investigations with Agents November 19, 2025 10 min read Android VPAT journey November 6, 2025 18 min read Build better software to build software better October 23, 2025 15 min read Advancing Our Chef Infrastructure: Safety Without Disruption October 7, 2025 11 min read Deploy Safety: Reducing customer impact from change Archives 2025 (9) 2024 (19) 2023 (16) 2022 (21) 2021 (24) 2020 (26) 2019 (21) 2018 (11) 2017 (21) 2016 (19) In the world of DevOps and Developer Experience (DevXP), speed and efficiency can make a big difference on an engineer’s day-to-day tasks. Today, we’ll dive into how Slack’s DevXP team took some existing tools and used them to optimize an end-to-end (E2E) testing pipeline. This lowered build times and reduced redundant processes, saving both time and resources for engineers at Slack. The Problem: Unnecessary Frontend Builds For one of our largest code repositories (a monolithic repository, or monorepo), Slack has a CI/CD pipeline that runs E2E tests before merging code into the <span style="font-weight: 400">main</span> branch. This is critical for ensuring that changes are validated across the entire stack for the Slack application: frontend, backend, database, and the handful of services in between. However, we noticed a bottleneck: building the frontend code was taking longer than expected and occurred too frequently, even when there were no frontend-related changes. Here’s the breakdown: Developer Workflow : A developer makes changes and pushes to a branch. Build Process : The frontend code is built (~5 minutes). Deployment : The build is deployed to a QA environment. Testing : We run over 200 E2E tests, taking another 5 minutes. This entire process took about 10 minutes per run. Half of that time, around 5 minutes, was consumed by frontend builds, even when no frontend changes were involved. Given that hundreds of pull requests (PRs) are merged daily, these redundant builds were not only time-consuming, but costly: Thousands of frontend builds per week , storing nearly a gigabyte of data per build in AWS S3. Half of these builds do not contain frontend changes compared to the last merge into <span style="font-weight: 400">main</span> , causing terabytes of duplicate data. 5 minutes per build, adding unnecessary delays to pipelines (thousands of hours a week). The Solution: Smarter Build Strategy with Cached Frontend Assets To tackle this, we leveraged existing tools to rethink our build strategy. Step 1: Conditional Frontend Builds Our first step was determining whether a fresh frontend build was necessary. We detected changes by utilizing <span style="font-weight: 400">git diff</span> and its 3-dot notation to identify the difference between the latest common commit of the current checked-out branch and <span style="font-weight: 400">main</span> . If changes were detected, we invoke a frontend build job. If no changes were detected, we skipped the build entirely and reused a prebuilt version. Step 2: Prebuilt Assets and Internal CDN When a frontend build is not needed, we locate an existing build from AWS S3. To be efficient, we use a recent frontend build that is still in Production. We delegate the task of serving the prebuilt frontend assets for our E2E tests to an internal CDN. This reduced the need for creating a new build on each PR, while still ensuring we test on current assets. The Challenges: Efficiency at Scale While the approach seemed straightforward, scaling this solution to our monorepo presented a few challenges: Identifying Frontend Changes : Our repository contains over 100,000 tracked files. Determining whether frontend changes were present required efficient file tracking, which git handled in just a couple of seconds. Finding Prebuilt Assets : With hundreds of PRs merged into this repository daily, identifying a prebuilt version that was fresh enough required robust asset management. By using straightforward S3 storage concepts, we were able to balance recency, coherent file naming, and performance to manage our assets. Being Fast: We were able to distinguish if a frontend build was unnecessary and find a recent build artifact in just under 3 seconds on average. The Results: A 60% Drop in Build Frequency and 50% Drop in Build Time Our efforts paid off, delivering remarkable improvements: 60% Reduction in Build Frequency : By intelligently reusing prebuilt frontend assets, we reduced the number of unnecessary frontend builds by over half. Hundreds of Hours Saved Monthly : Cloud compute time and developer wait times are reduced. Several Terabytes of Storage Savings : We reduced our AWS S3 storage by several terabytes each month. These duplicate assets would have otherwise been stored for one year. 50% Build Time Improvement : This was the second major project by the Frontend DevXP Team and its partnering teams. The first project, which upgraded our Webpack setup, reduced the average build from ~10 minutes to ~5 minutes. This project took the average build from ~5 minutes down to just ~2 minutes. With both projects being successful, we reduced our average build time for E2E pipelines from ~10 minutes to ~2 minutes: a huge improvement for the year! Two unexpected outcomes: More Reliable and Trustworthy E2E Results : Our test flakiness, which refers to tests failing intermittently or inconsistently despite no code changes, was significantly reduced. This improvement resulted from the optimized pipeline, decreased likelihood of needing complex frontend builds, and consistent asset delivery. We observed our lowest percentage of test flakiness as a result, based on monthly measurements. Rediscovering Legacy Code : Implementing this optimization required a deep dive into legacy code of multiple systems that hadn’t been significantly modified in a long time. This exploration yielded valuable insights, prompted new questions about the codebase’s behavior, and generated a backlog of tasks for future enhancements. Conclusion: Rethinking Frontend Build Efficiency By strategically utilizing existing tools like <span style="font-weight: 400">git diff</span> and internal CDNs, we managed to save valuable developer time, reduce cloud costs, and improve overall build efficiency. For teams in other companies facing similar bottlenecks in DevOps and DevXP, the lesson is to question what’s truly necessary in your pipeline and optimize accordingly. The improvement from this project seems obvious in hind-sight, but it’s common to overlook inefficiencies in systems that haven’t outright failed. In our case, rethinking how we handled frontend assets turned into a massive win for the organization. Acknowledgments There are a lot of moving parts in a project like this: complex pipelines for building and testing, cloud infrastructure, an internal CDN, intricate build systems for frontend code, and existing custom setups throughout our entire system. It includes code written in Python, JavaScript, Bash, PHP/Hack, Rust, YAML, and Ruby. We achieved this without any downtime! Okay, almost. There was ten minutes of internal downtime for our deployment pipeline, but it was fixed pretty quickly. This work was not possible without contributions from: Anirudh Janga, Josh Cartmell, Arminé Iradian, Anupama Jasthi, Matt Jennings, Zack Weeden, John Long, Issac Gerges, Andrew MacDonald, Vani Anantha and Dave Harrington Interested in taking on interesting projects, making people’s work lives easier, or just building some pretty cool forms? We’re hiring! 💼 Explore Opportunities # ci-cd # developer-experience # developer-productivity # devops # frontend # testing Copied! Previous Post How we built enterprise search to be secure and private Many don’t know that “Slack” is in fact a backronym—it stands for “Searchable Log of… March 7, 2025 6 min read Next Post Building Slack's Anomaly Event Response As cyberattacks evolve to unprecedented levels of sophistication and speed, the time gap between breach… September 4, 2025 9 min read Recommended Reading November 6, 2025 18 min read Build better software to build software better @David Reed October 7, 2025 11 min read Deploy Safety: Reducing customer impact from change @Sam Bailey January 7, 2025 14 min read Automated Accessibility Testing at Slack @Natalie Stormann December 16, 2024 15 min read Migration Automation: Easing the Jenkins → GHA shift with help from AI @Emmanuel Zerefa Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. 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https://slack.engineering/tags/devops/ | devops | Engineering at Slack devops – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #devops November 6, 2025 18 min read @David Reed Build better software to build software better We manage the build pipeline that delivers Quip and Slack Canvas’s backend. A year ago, we were chasing exciting… April 14, 2025 6 min read @Dan Carton Optimizing Our E2E Pipeline In the world of DevOps and Developer Experience (DevXP), speed and efficiency can make a big difference on an… December 16, 2024 15 min read @Emmanuel Zerefa Migration Automation: Easing the Jenkins → GHA shift with help from AI Overview The past few months have been exciting times for Slack’s CI infrastructure. After years of developer… January 18, 2024 15 min read @Sean McIlroy The Scary Thing About Automating Deploys Most of Slack runs on a monolithic service simply called “The Webapp”. It’s big – hundreds of developers… March 21, 2023 11 min read @Tricia Bogen Technology Lifecycle This blog post discusses the strategies that Slack uses to manage the lifecycle (development, support, and… October 20, 2021 13 min read @Archie Gunasekara Building the Next Evolution of Cloud Networks at Slack – A Retrospective About a year ago, I wrote a blog post called Building the Next Evolution of Cloud Networks at Slack. In it, we… September 21, 2020 10 min read @Archie Gunasekara Building the Next Evolution of Cloud Networks at Slack At Slack, we’ve gone through an evolution of our AWS infrastructure from the early days of running a few… August 1, 2019 10 min read @Richard Crowley Disasterpiece Theater: Slack’s process for approachable Chaos Engineering Slack is a large and complex piece of software that’s been added to and changed many times over the last five… Posts pagination 1 2 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://www.linkedin.com/products/categories/security-orchestration-automation-and-response-software | Best Security Orchestration, Automation, and Response (SOAR) Software | Products | LinkedIn Skip to main content LinkedIn 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 Clear text Used by Used by Chief Information Security Officer (35) Chief Information Officer (20) Cyber Security Specialist (17) Information Technology Manager (14) Director of Information Technology (13) See all products Find top products in Security Orchestration, Automation, and Response (SOAR) Software category Software used to integrate and automate system security information. - Combine vulnerability management, incident response, and event management security information - Use integration of existing security systems to build centralized response workflows and automate tasks within workflows - Make reports of incidents, workflows, and performance, enhancing visibility in operational processes 96 results Splunk Security Orchestration, Automation and Response (SOAR) Security Orchestration, Automation, and Response (SOAR) Software by Splunk Orchestrate security workflows and automate tasks in seconds to empower your SOC, work smarter and respond faster. 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View product Cyware Orchestrate Security Orchestration, Automation, and Response (SOAR) Software by Cyware An “any-to-any” vendor-agnostic, low-code orchestration platform for connecting & automating Cyber, IT, and DevOps workflows across Cloud, On-Premise, and Hybrid environments. View product Find products trusted by professionals in your network See which products are used by connections in your network and those that share similar job titles Sign in to view full insights Security Maturity and Compliance Lifecycle Management - AI-Powered Security Posture Command Center Security Orchestration, Automation, and Response (SOAR) Software by Aristiun Aristiun's Security Maturity & Compliance Lifecycle Management is an AI-powered security Posture Management Solution enabling leaders to Orchestrate Continuous Security Journeys. Effortlessly achieve security excellence with our intelligent platform: Unify & Analyse: Gain complete visibility with unified data, identifying security gaps and prioritizing remediation with unparalleled accuracy. Simplify 40+ Frameworks: Easily trace controls to regulations like NIST, NIS2, ISO, reducing manual work by 70% and streamlining audits. Proactive Risk Management: Mitigate threats with AI-powered insights, predicting issues, prioritizing actions, and preventing security incidents. Focus on Strategy: Free up resources with automated tasks, empowering you to focus on strategic security initiatives. Effortless Reporting: Generate comprehensive reports for stakeholders and regulators with ease. Trusted by leading companies across industries. Start the journey and Rethink security today! View product Swimlane Turbine Agentic AI Automation Platform Security Orchestration, Automation, and Response (SOAR) Software by Swimlane Swimlane Turbine is the world's fastest and most scalable agentic AI automation platform for the entire security organization, from security operations to vulnerability management and compliance teams. Key Features Generative & Agentic AI: Built to handle 99% of tier 1 SOC analyst tasks by taking on the work they hate & executing playbooks on command. Low-Code Playbooks: Create automated workflows 3x faster with thousands of pre-built reusable playbooks available in Swimlane Marketplace. AI-Driven Case Management: Automate 80% of the incident response process with the most robust case management solution. Infinite Integrations: Turbine delivers ecosystem-agnostic orchestration across any security or business system. Real-time Dashboards & Reporting: Gain clear visibility and actionable insights with a centralized security hub. Cloud-Native Architecture: Only Turbine can execute 25 million daily actions for a single customer, 17 times faster than SOAR. View product SHQ Response Security Orchestration, Automation, and Response (SOAR) Software by SecurityHQ SHQ Response was built so that businesses could learn more about potential threats, and solve cyber related issues, together with their designated security experts. • Dedicated Incident Response platform – SHQ Response Platform, which provides Incident Response, Containment & Mitigation along with Risk Management. • Dedicated Risk Center based on international standards (NIST, MITRE, & NCSC) helps manage imminent risks. Mitigation tracker and library of Threat Profiles available to quickly create applicable risks. • Dedicated Incident Response Lead, Cyber Security Manager, 24x7 monitoring and Mobile App provided, for easy customer and analyst collaboration. • Incident Time-Line feature, security posture dashboards, and vector graphics help analysts anticipate next moves, de-escalate adversaries, and take quick containment actions. View product Percept XDR & NG SIEM Security Orchestration, Automation, and Response (SOAR) Software by SEQURETEK AI-powered Percept XDR & NG SIEM is a cutting edge extended detection and response solution for comprehensive enterprise security monitoring, threat detection, and incident response for your entire digital landscape. Percept XDR & NG SIEM helps protect against phishing, ransomware, malware, vulnerability exploits, insider threats, web attacks and many more advanced attacks. Percept XDR & NG SIEM features SOAR-based automated response in line with the MITRE ATT&CK framework. The reduced number of incidents that require manual intervention allows enterprise IT teams to focus on the core objectives. View product Strobes RBVM Security Orchestration, Automation, and Response (SOAR) Software by Strobes Security, Inc. Strobes RBVM simplifies vulnerability management with its all-in-one platform, streamlining the process of identifying, prioritizing, and mitigating vulnerability risks across various attack vectors. Through seamless automation, integration, and comprehensive reporting, organizations can proactively enhance their cybersecurity posture. Strobes offers seamless integration with a wide range of your favorite tools, whether it’s your code repository, automation tools, SAST, DAST, cloud and infrastructure scanners, or ticketing and messaging platforms. Our comprehensive integrations ensure that Strobes can adapt and thrive within your specific environment, providing tailored support for your unique needs. What's there for you in Strobes RBVM 1. Vulnerability aggregation 2. Prioritize vulnerabilities based on risk 3. Swiftly remediate high risk vulnerabilities 4. Unparalleled visibility into threat landscape View product See more How it works Explore Discover the best product for your need from a growing catalog of 25,000 products and categories trusted by LinkedIn professionals Learn Evaluate new tools, explore trending products in your industry and see who in your network is skilled in the product Grow Join communities of product users to learn best practices, celebrate your progress and accelerate your career LinkedIn © 2026 About Accessibility User Agreement Privacy Policy Cookie Policy Copyright Policy Brand Policy Guest Controls Community Guidelines English Language | 2026-01-13T09:29:27 |
https://slack.engineering/2020/ | Engineering at Slack 2020 – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #2020 December 16, 2020 10 min read @Slack Engineering Creating a React Analytics Logging Library In the first installment of the article, we examined why we built a React analytics library. We also looked at… December 1, 2020 16 min read @Slack Engineering Scaling Datastores at Slack with Vitess From the very beginning of Slack, MySQL was used as the storage engine for all our data. Slack operated MySQL… November 19, 2020 9 min read @Ashwin Shankar Migrating Slack Airflow to Python 3 Without Disruption Last year, we migrated Airflow from 1.8 to 1.10 at Slack (see here) and we did a “Big bang” upgrade because of… November 6, 2020 14 min read @Slack Engineering Creating a React Analytics Logging Library Like many applications, the Slack desktop app logs how users interact with it. For example, it may log when a… October 14, 2020 7 min read @Madhu Balakrishna Bridging the Gap Between Slack and Email Users Slack brings the right people, information, and tools together to get work done. Normally, team members can… September 21, 2020 10 min read @Archie Gunasekara Building the Next Evolution of Cloud Networks at Slack At Slack, we’ve gone through an evolution of our AWS infrastructure from the early days of running a few… September 15, 2020 15 min read @Frances Coronel The Unsuspecting Beauty & Complexity of Web Forms A form on a website may seem like a pretty trifling thing. A couple of text fields, a submit button, and you’re… September 3, 2020 6 min read @Josh Cartmell Starting an Initiative Early in my career at Slack I was looking for ways to have an impact. I asked my manager what I could work on… Posts pagination 1 2 … 4 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/iam-roles-for-amazon-ec2.html#attach-iam-role | IAM roles for Amazon EC2 - Amazon Elastic Compute Cloud IAM roles for Amazon EC2 - Amazon Elastic Compute Cloud Documentation Amazon EC2 User Guide Instance profiles Permissions for your use case Instance identity roles IAM roles for Amazon EC2 Applications must sign their API requests with AWS credentials. Therefore, if you are an application developer, you need a strategy for managing credentials for your applications that run on EC2 instances. For example, you can securely distribute your AWS credentials to the instances, enabling the applications on those instances to use your credentials to sign requests, while protecting your credentials from other users. However, it's challenging to securely distribute credentials to each instance, especially those that AWS creates on your behalf, such as Spot Instances or instances in Auto Scaling groups. You must also be able to update the credentials on each instance when you rotate your AWS credentials. We designed IAM roles so that your applications can securely make API requests from your instances, without requiring you to manage the security credentials that the applications use. Instead of creating and distributing your AWS credentials, you can delegate permission to make API requests using IAM roles as follows: Create an IAM role. Define which accounts or AWS services can assume the role. Define which API actions and resources the application can use after assuming the role. Specify the role when you launch your instance, or attach the role to an existing instance. Have the application retrieve a set of temporary credentials and use them. For example, you can use IAM roles to grant permissions to applications running on your instances that need to use a bucket in Amazon S3. You can specify permissions for IAM roles by creating a policy in JSON format. These are similar to the policies that you create for users. If you change a role, the change is propagated to all instances. Note Amazon EC2 IAM role credentials are not subject to maximum session durations configured in the role. For more information, see Methods to assume a role in the IAM User Guide . When creating IAM roles, associate least privilege IAM policies that restrict access to the specific API calls the application requires. For Windows-to-Windows communication, use well-defined and well-documented Windows groups and roles to grant application-level access between Windows instances. Groups and roles allow customers to define least privilege application and NTFS folder-level permissions to limit access to application-specific requirements. You can only attach one IAM role to an instance, but you can attach the same role to many instances. For more information about creating and using IAM roles, see Roles in the IAM User Guide . You can apply resource-level permissions to your IAM policies to control the users' ability to attach, replace, or detach IAM roles for an instance. For more information, see Supported resource-level permissions for Amazon EC2 API actions and the following example: Example: Work with IAM roles . Contents Instance profiles Permissions for your use case Retrieve security credentials Permissions to attach a role to an instance Attach a role to an instance Instance identity roles Instance profiles Amazon EC2 uses an instance profile as a container for an IAM role. When you create an IAM role using the IAM console, the console creates an instance profile automatically and gives it the same name as the role to which it corresponds. If you use the Amazon EC2 console to launch an instance with an IAM role or to attach an IAM role to an instance, you choose the role based on a list of instance profile names. If you use the AWS CLI, API, or an AWS SDK to create a role, you create the role and instance profile as separate actions, with potentially different names. If you then use the AWS CLI, API, or an AWS SDK to launch an instance with an IAM role or to attach an IAM role to an instance, specify the instance profile name. An instance profile can contain only one IAM role. You can include an IAM role in multiple instance profiles. To update permissions for an instance, replace its instance profile. We do not recommend removing a role from an instance profile, because there is a delay of up to one hour before this change takes effect. For more information, see Use instance profiles in the IAM User Guide . Permissions for your use case When you first create an IAM role for your applications, you might sometimes grant permissions beyond what is required. Before launching your application in your production environment, you can generate an IAM policy that is based on the access activity for an IAM role. IAM Access Analyzer reviews your AWS CloudTrail logs and generates a policy template that contains the permissions that have been used by the role in your specified date range. You can use the template to create a managed policy with fine-grained permissions and then attach it to the IAM role. That way, you grant only the permissions that the role needs to interact with AWS resources for your specific use case. This helps you adhere to the best practice of granting least privilege . For more information, see IAM Access Analyzer policy generation in the IAM User Guide . Instance identity roles for Amazon EC2 instances Each Amazon EC2 instance that you launch has an instance identity role that represents its identity. An instance identity role is a type of IAM role. AWS services and features that are integrated to use the instance identity role can use it to identify the instance to the service. The instance identity role credentials are accessible from the Instance Metadata Service (IMDS) at /identity-credentials/ec2/security-credentials/ec2-instance . The credentials consist of an AWS temporary access key pair and a session token. They are used to sign AWS Sigv4 requests to the AWS services that use the instance identity role. The credentials are present in the instance metadata regardless of whether a service or feature that makes use of instance identity roles is enabled on the instance. Instance identity roles are automatically created when an instance is launched, have no role-trust policy document, and are not subject to any identity or resource policy. Supported services The following AWS services use the instance identity role: Amazon EC2 – EC2 Instance Connect uses the instance identity role to update the host keys for a Linux instance. Amazon GuardDuty – GuardDuty Runtime Monitoring uses the instance identity role to allow the runtime agent to send security telemetry to the GuardDuty VPC endpoint. AWS Security Token Service (AWS STS) – Instance identity role credentials can be used with the AWS STS GetCallerIdentity action. AWS Systems Manager – When using Default Host Management Configuration , AWS Systems Manager uses the identity provided by the instance identity role to register EC2 instances. After identifying your instance, Systems Manager can pass your AWSSystemsManagerDefaultEC2InstanceManagementRole IAM role to your instance. Instance identity roles can’t be used with other AWS services or features because they do not have an integration with instance identity roles. Instance identity role ARN The instance identity role ARN takes the following format: arn: aws-partition :iam:: account-number :assumed-role/aws:ec2-instance/ instance-id For example: arn: aws :iam:: 0123456789012 :assumed-role/aws:ec2-instance/ i-1234567890abcdef0 For more information about ARNs, see Amazon Resource Names (ARNs) in the IAM User Guide . Javascript is disabled or is unavailable in your browser. To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions. Document Conventions AWS managed policies Retrieve security credentials Did this page help you? - Yes Thanks for letting us know we're doing a good job! If you've got a moment, please tell us what we did right so we can do more of it. Did this page help you? - No Thanks for letting us know this page needs work. We're sorry we let you down. If you've got a moment, please tell us how we can make the documentation better. | 2026-01-13T09:29:27 |
https://slack.engineering/2016/ | Engineering at Slack 2016 – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #2016 December 8, 2016 10 min read @Ronnie Chen @Diana Pojar Data Wrangling at Slack For a company like Slack that strives to be as data-driven as possible, understanding how our users use our… November 21, 2016 10 min read @Ryan Huber Syscall Auditing at Scale If you are are an engineer whose organization uses Linux in production, I have two quick questions for you: 1)… November 15, 2016 5 min read @Ayesha Bose What matters to you, matters to us. At Slack, we’re focused on delivering big, impactful features, but we’re also dedicated to improving our users’… October 25, 2016 7 min read @Anaïs Betts Building Hybrid Applications with Electron Today we’ve just shipped a new version of the Slack Desktop application for macOS. We built it with Electron,… October 19, 2016 8 min read @Brenda Jin Mentorship at Slack It’s a scene familiar to many tech companies: summer rolls around, and the office is filled with interns who… October 13, 2016 11 min read @Keith Adams Taking PHP Seriously Slack uses PHP for most of its server-side application logic, which is an unusual choice these days. Why did we… September 6, 2016 8 min read @Renaud Bourassa Personalized channel recommendations in Slack Public channels provide much of Slack’s advantages over email: they are searchable, long-lasting, themed… August 9, 2016 8 min read @Melissa Khuat The Slack Internship Internships — the training grounds for the professional “real world”. But what exactly does the “real world”… Posts pagination 1 2 3 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://www.csoonline.com/ | CSO Online | Security at the speed of business Topics Latest Newsletters Resources Buyer’s Guides Events About About Us Advertise Contact Us Editorial ethics policy Foundry Careers Reprints Newsletters Contribute to CSO Policies Terms of Service Privacy Policy Cookie Policy Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld InfoWorld Network World More Awards Blogs BrandPosts Events Podcasts Videos Enterprise Buyer’s Guides Close Artificial Intelligence Generative AI Business Operations Careers Industry IT Leadership Compliance Security Application Security Business Continuity Cloud Security Critical Infrastructure Cybercrime Identity and Access Management IT Management Network Security Physical Security Privacy Risk Management Security Infrastructure Vulnerabilities Analytics Software Development Enterprise Buyer’s Guides Back Close Americas United States Asia ASEAN India Europe Deutschland (Germany) United Kingdom Oceania Australia Back Close Popular Topics Careers Cybercrime Generative AI Search US-EN Topics Latest Newsletters Resources Buyer’s Guides Events About Policies Our Network More Back Topics Artificial Intelligence Generative AI Business Operations Careers Industry IT Leadership Compliance Security Application Security Business Continuity Cloud Security Critical Infrastructure Cybercrime Identity and Access Management IT Management Network Security Physical Security Privacy Risk Management Security Infrastructure Vulnerabilities Analytics Software Development Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial ethics policy Foundry Careers Reprints Newsletters Contribute to CSO Back Policies Terms of Service Privacy Policy Cookie Policy Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld InfoWorld Network World Back More Awards Blogs BrandPosts Events Podcasts Videos Enterprise Buyer’s Guides Latest from today Feature CISOs’ top 10 cybersecurity priorities for 2026 AI’s ongoing rise — both as a threat and a means for defense — is reshaping security execs’ agendas, which also include added emphasis on resiliency, third-party risk management, and geopolitical threats. By Mary K. Pratt Jan 12, 2026 11 mins Application Security CSO and CISO Threat and Vulnerability Management Interview Jamie Norton’s journey to CISO started with an early interest in computers By Samira Sarraf Jan 9, 2026 12 mins C-Suite CSO and CISO Careers Feature Top cyber threats to your AI systems and infrastructure By Mary K. Pratt Jan 8, 2026 10 mins Artificial Intelligence Data and Information Security Threat and Vulnerability Management News Analysis ZombieAgent ChatGPT attack shows persistent data leak risks of AI agents By Lucian Constantin Jan 9, 2026 5 mins Cyberattacks Data and Information Security Generative AI News Enterprises still aren’t getting IAM right By Taryn Plumb Jan 8, 2026 6 mins Artificial Intelligence Identity and Access Management Security News CrowdStrike to acquire SGNL for $740M, expanding real-time identity security By Gyana Swain Jan 9, 2026 5 mins Artificial Intelligence Security Technology Industry News Critical jsPDF vulnerability enables arbitrary file read in Node.js deployments By Shweta Sharma Jan 8, 2026 3 mins Security Vulnerabilities News Microsoft warns of a surge in phishing attacks exploiting email routing gaps By Shweta Sharma Jan 7, 2026 4 mins Phishing Security Vulnerabilities Feature 8 things CISOs can’t afford to get wrong in 2026 By Bob Violino Jan 7, 2026 11 mins CSO and CISO Cloud Security Threat and Vulnerability Management More security news feature Top 10 vendors for AI-enabled security — according to CISOs Weighing innovation, reputation, business value, cost, integration overhead, and peer use, among other criteria, CISOs list the top vendors for AI-fueled security solutions, with stalwarts winning out over startups. By Neal Weinberg Jan 13, 2026 12 mins Markets Security Software Technology Industry news Notorious BreachForums hacking site hit by ‘doomsday’ leak of 324,000 criminal users After two years of arrests and takedowns, is this the end for the hacking forum? By John E. Dunn Jan 12, 2026 4 mins Cyberattacks Data Breach Hacker Groups news Malicious npm packages target the n8n automation platform in a supply chain attack Researchers discovered malicious npm packages posing as n8n integrations, exfiltrating OAuth tokens and API keys from enterprise workflows. By Shweta Sharma Jan 12, 2026 3 mins Cyberattacks Security Vulnerabilities news Iran-linked MuddyWater APT deploys Rust-based implant in latest campaign Researchers discover RustyWater malware targeting organizations in Israel and other Middle Eastern countries By Gyana Swain Jan 12, 2026 4 mins Cyberattacks Cybercrime Security news Trend Micro patches critical flaws in its Apex Central software The bugs could allow an attacker to take over an affected system for their own purposes, or to crash the software, causing a denial of service. By Maxwell Cooter Jan 9, 2026 4 mins Security Information and Event Management Software Security Software Vulnerabilities news CISA flags max-severity bug in HPE OneView amid active exploitation The flaw allows remote code execution via a public REST API, giving attackers a direct path to compromise enterprise infrastructure. By Shweta Sharma Jan 9, 2026 3 mins Security Vulnerabilities news Cisco identifies vulnerability in ISE network access control devices A successful attacker could view sensitive information that even admins can’t access. By Howard Solomon Jan 8, 2026 4 mins Identity and Access Management Network Security Vulnerabilities opinion The 2 faces of AI: How emerging models empower and endanger cybersecurity AI helps security teams move faster — but it’s also helping attackers do the same, turning cybersecurity into a race of machines versus machines. By Vaibhav Agrawal Jan 8, 2026 7 mins Cyberattacks Fraud Zero-Day Vulnerabilities opinion Cybersecurity at the edge: Securing rugged IoT in mission-critical environments Edge IoT keeps the lights on and responders moving, but without rethinking security for harsh, disconnected environments, the risks add up fast. By Bhanu Handa Jan 8, 2026 8 mins Network Security Security Hardware Security Infrastructure news Holes in Veeam Backup suite allow remote code execution, creation of malicious backup config files The vendor has issued a patch to close four holes in its flagship Backup & Replication suite; version 13 users are advised to audit their backup config files and closely monitor backup jobs. By Howard Solomon Jan 7, 2026 4 mins Security Vulnerabilities news analysis Critical RCE flaw allows full takeover of n8n AI workflow platform ‘A compromised n8n instance doesn’t just mean losing one system — it means handing attackers the keys to everything,’ security researchers wrote of the 10.0 severity vulnerability. By Lucian Constantin Jan 7, 2026 5 mins Application Security Artificial Intelligence Vulnerabilities news Automated data poisoning proposed as a solution for AI theft threat For hackers, the stolen data would be useless, but authorized users would have a secret key that filters out the fake information. By Howard Solomon Jan 7, 2026 6 mins Artificial Intelligence Data Privacy Privacy Show more Show less Video on demand video Inside Visa’s Cyber Defense: CISO Subra Kumaraswamy on blending AI and Human Defense In this episode of Cyber Sessions, Visa CISO Subra Kumaraswamy takes us inside the company’s 24/7 Cyber Fusion Centers, where AI-driven defenses block 90 million attacks and 11 million phishing emails each month. He shares how his team achieves “zero breach, zero disruption” across 200+ countries—and what lessons other security leaders can learn from Visa’s global approach to resilience. By Joan Goodchild Dec 15, 2025 26 mins Application Security CSO and CISO CISO Reality: Record Pay, Rising Pressure, and Retention Risk By Joan Goodchild Dec 10, 2025 27 mins CSO and CISO Security Infrastructure The Future of Cybersecurity Leadership: AI, Governance & Education | Kevin Powers, Boston College Nov 19, 2025 23 mins Cyberattacks Cybercrime Risk Management Inside Black Hat: Andy Ellis on vendor buzzwords, AI hype, and the future of the CISO role By Joan Goodchild Nov 12, 2025 31 mins Black Hat CSO and CISO Cyberattacks See all videos Explore a topic Generative AI Application Security Business Continuity Business Operations Careers Cloud Security Compliance Critical Infrastructure Cybercrime Identity and Access Management Industry IT Leadership Network Security Physical Security View all topics All topics Close Browse all topics and categories below. Generative AI Application Security Business Continuity Business Operations Careers Cloud Security Compliance Critical Infrastructure Cybercrime Identity and Access Management Industry IT Leadership Network Security Physical Security Privacy Risk Management Security Security Infrastructure Software Development Vulnerabilities Spotlight: Setting the 2026 IT agenda Articles Buyer’s Guide Given the rapid pace of technology change today, IT leaders are setting their short-term agendas with agility, flexibility, and tangible business outcomes in mind. This month’s topic leans on Foundry’s original Tech Priorities research and external research, along with conversations with IT leaders to uncover enterprise technology trends for the year ahead. Automating, streamlining, and modernizing IT operations is a must as IT teams struggle with skill and staff shortages and increasing demands. A wide variety of tech vendors have solutions aimed at bring IT operations into the AI age. View all Popular topics Generative AI news Several countries investigate Elon Musk’s Grok after sexualized deepfakes on women and children By Viktor Eriksson Jan 5, 2026 2 mins Artificial Intelligence Generative AI Laws and Regulations news analysis Managing agentic AI risk: Lessons from the OWASP Top 10 By Maria Korolov Dec 19, 2025 8 mins Application Security Artificial Intelligence Generative AI opinion Demystifying risk in AI By Rangel Rodrigues Dec 16, 2025 10 mins Generative AI IT Governance IT Governance Frameworks View topic Cybercrime news Taiwan subjected to 2.6 million Chinese cyberattacks a day in 2025 By Viktor Eriksson Jan 5, 2026 2 mins Cyberattacks Cybercrime Security news Cybersecurity firm turns tables on threat actors with decoy data trap By Shweta Sharma Jan 5, 2026 3 mins Cyberattacks Cybercrime Data Breach news Two cybersecurity experts plead guilty to running ransomware operation By Peter Sayer Jan 2, 2026 2 mins Cybercrime Malware Ransomware View topic Careers news analysis Cybersecurity skills matter more than headcount in the AI era By Denise Dubie Jan 2, 2026 7 mins Careers IT Skills and Training Security feature The CSO guide to top security conferences By CSO Staff Dec 29, 2025 5 mins C-Suite CSO and CISO Events feature 7 SASE certifications to validate converged network and security skills By Denise Dubie Dec 26, 2025 9 mins Careers Certifications Network Security View topic IT Leadership feature 6 strategies for building a high-performance cybersecurity team By Mary K. Pratt Jan 6, 2026 9 mins IT Leadership IT Skills and Training Security Operations Center opinion How the Organizational Risk Culture Standard can supercharge your cybersecurity culture By Maman Ibrahim and Gavriel Schneider Jan 5, 2026 11 mins IT Leadership Risk Management Security Practices feature Enterprise Spotlight: Setting the 2026 IT agenda By CSO Staff Jan 1, 2026 1 min Artificial Intelligence Enterprise Buyer’s Guides IT Leadership View topic In depth Feature Who owns your data? SaaS contract security, privacy red flags Companies looking to use SaaS solutions should involve the security team in the procurement process and pay attention to contract language. By Andrada Fiscutean Mar 27, 2024 10 mins Data and Information Security Read the Article Podcasts podcasts Cyber Sessions with Joan Goodchild Cybersecurity is constantly evolving, and so are the leaders who shape it. Hosted by veteran journalist Joan Goodchild, Cyber Sessions brings candid conversations with top CISOs, strategists, and industry influencers. Each episode cuts through the noise to explore the trends, challenges, and leadership insights that define the future of security. 4 episodes Security Security Practices Ep. 05 Inside Visa’s Cyber Defense: CISO Subra Kumaraswamy on blending AI and Human Defense By Joan Goodchild Jun 28, 2023 26 mins Application Security Ep. 04 CISO Reality: Record Pay, Rising Pressure, and Retention Risk By Joan Goodchild Jun 28, 2023 27 mins CSO and CISO Security Infrastructure Show me more Latest Articles Podcasts Videos brandpost Sponsored by OpenText How to eliminate IT blind spots in the modern, AI-driven enterprise By Joan Goodchild Jan 7, 2026 8 mins Security news Open WebUI bug turns the ‘free model’ into an enterprise backdoor By Shweta Sharma Jan 6, 2026 3 mins Artificial Intelligence Security Vulnerabilities brandpost Sponsored by NETSCOUT Why Arbor Edge Defense and CDN-Based DDoS protection are better together By Gary Sockrider Jan 5, 2026 3 mins Security podcast CSO Executive Session ASEAN: The Human Firewall-Retention, AI Readiness, and Women in Cybersecurity By Estelle Quek Jan 11, 2026 28 mins Cyberattacks Cybercrime Human Resources podcast Inside Visa’s Cyber Defense: CISO Subra Kumaraswamy on blending AI and Human Defense By Joan Goodchild Dec 15, 2025 26 mins Application Security podcast CISO Reality: Record Pay, Rising Pressure, and Retention Risk By Joan Goodchild Dec 10, 2025 27 mins CSO and CISO Security Infrastructure video CSO Executive Sessions ASEAN: The Human Firewall-Retention, AI Readiness, and Women in Cybersecurity By Estelle Quek Jan 11, 2026 28 mins Cyberattacks Cybercrime Human Resources video CSO Executive Sessions Australia with Daisy Wong, Head of Security Awareness at Medibank Dec 14, 2025 38 mins CSO and CISO video CSO Executive Sessions ASEAN: Leading the Charge on Cyber Agility for Southeast Asia’s Digital Future By Estelle Quek Oct 2, 2025 21 mins Cloud Security Cyberattacks Threat and Vulnerability Management Sponsored Links Join IGEL Now & Next in Miami, March 30–April 2. This is ultimate event to discover what’s next in endpoint cybersecurity & innovation. Register now! About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Join the Foundry Expert Contributor Network! Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld Infoworld Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. All Rights Reserved. | 2026-01-13T09:29:27 |
https://slack.engineering/tags/caching/ | caching | Engineering at Slack caching – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #caching November 6, 2025 18 min read @David Reed Build better software to build software better We manage the build pipeline that delivers Quip and Slack Canvas’s backend. A year ago, we were chasing exciting… May 31, 2017 7 min read @Bing Wei Flannel: An Application-Level Edge Cache to Make Slack Scale Professor Robin Dunbar, when studying Neolithic farming villages and primate troupes in the 90s, theorized that… Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://slack.engineering/2022/ | Engineering at Slack 2022 – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #2022 October 25, 2022 16 min read @Archie Gunasekara How We Use Terraform At Slack At Slack, we use Terraform for managing our Infrastructure, which runs on AWS, DigitalOcean, NS1, and GCP. Even… October 12, 2022 14 min read @Ahmed Eid @Arpita Patel Mobile Developer Experience at Slack At Slack, the goal of the Mobile Developer Experience Team (DevXp) is to empower developers to ship code with… October 3, 2022 6 min read @Eman Hassan How to Mentor Interns to Become Skillful Engineers Internships are a great opportunity for companies to invest in great talent and train future engineers. It is… September 29, 2022 9 min read @Georgi Knox A Day in the Life of a Cloud Engineer at Slack Australia 06:15 AM My two young kids come in waking me up, presenting me with iPads in the hopes of a quick game of… September 20, 2022 11 min read @Stephen Dolan Blocked: How to Ask For Help as an Intern You grinded LeetCode, nailed the interview process, and got an internship at an amazing company. Congrats! But… September 13, 2022 10 min read @Slack Engineering Our Hybrid and Collaborative Summer @ Slack’s Data Eng An internship at Slack is an exciting opportunity to learn new skills, meet other engineers, and build cool… September 6, 2022 12 min read @Katrina Ni @Aaron Maurer Recommend API Slack, as a product, presents many opportunities for recommendation, where we can make suggestions to simplify… August 31, 2022 12 min read @Slack Engineering BuildRock: A Build Platform at Slack Our build platform is an essential piece of delivering code to production efficiently and safely at Slack. Over… Posts pagination 1 2 3 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://slack.engineering/tags/build-performance/ | build-performance | Engineering at Slack build-performance – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #build-performance November 6, 2025 18 min read @David Reed Build better software to build software better We manage the build pipeline that delivers Quip and Slack Canvas’s backend. A year ago, we were chasing exciting… January 17, 2018 14 min read @Rowan Oulton Keep webpack Fast: A Field Guide for Better Build Performance webpack is a brilliant tool for bundling frontend assets. When things start to slow down, though, its… Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://www.infoworld.com/database/ | Databases | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Data Management Databases Databases Database | News, how-tos, features, reviews, and videos Latest from today interview Generative AI and the future of databases Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to overcome these challenges, and how AI-native databases will help bridge the gap. By Martin Heller Jan 6, 2026 14 mins Artificial Intelligence Databases Generative AI opinion How to make AI agents reliable By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training news High severity flaw in MongoDB could allow memory leakage By Lynn Greiner Dec 26, 2025 2 mins Databases NoSQL Databases Vulnerabilities opinion Designing the agent-ready data stack By Tobie Morgan Hitchcock Dec 18, 2025 12 mins Artificial Intelligence Databases Generative AI feature InfoWorld’s 2025 Technology of the Year Award winners By InfoWorld Awards Team Dec 15, 2025 48 mins APIs Application Security DevSecOps opinion Document databases – understanding your options By Radek Szulgo Dec 11, 2025 8 mins Databases Document Databases NoSQL Databases opinion AI memory is really a database problem By Matt Asay Dec 8, 2025 9 mins Artificial Intelligence Databases Generative AI news Qdrant vector database adds tiered multitenancy By Paul Krill Dec 1, 2025 3 mins Artificial Intelligence Databases Generative AI feature Anatomy of an AI agent knowledge base By Bill Doerrfeld Nov 24, 2025 10 mins Artificial Intelligence Databases Generative AI Articles analysis Azure HorizonDB: Microsoft goes big with PostgreSQL Microsoft’s latest database is a fast, scalable PostgreSQL for cloud-native and AI developers. By Simon Bisson Nov 20, 2025 8 mins Microsoft Azure PostgreSQL Relational Databases news Microsoft touts scalability of its new PostgreSQL-compatible managed database Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing PostgreSQL databases did not. By Anirban Ghoshal Nov 19, 2025 4 mins Microsoft Azure PostgreSQL Relational Databases opinion Building a scalable document management system: Lessons from separating metadata and content Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run. By Prasanna Kumar Ramachandran Nov 19, 2025 10 mins Databases Document Databases NoSQL Databases opinion The dawn of the AI-native database With agentic AI, the database must evolve from a passive ledger to an active reasoning engine that informs, guides, and enables autonomous action. By Yasmeen Ahmad Nov 11, 2025 9 mins Artificial Intelligence Databases Generative AI news Google adds tiered storage to NoSQL Bigtable to reduce complexity, costs Tiered storage will help enterprises reduce their storage expenditure as they continue to adopt AI use cases for various tasks, analysts say. By Anirban Ghoshal Oct 30, 2025 3 mins Databases NoSQL Databases opinion Maximizing speed: How continuous batching unlocks unprecedented LLM throughput Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster. By Raul Leite Oct 27, 2025 6 mins Artificial Intelligence Databases Generative AI news AWS DNS error hits DynamoDB, causing problems for multiple services and customers DynamoDB error rates in the US-EAST-1 region soared shortly after midnight Pacific Time, rippling through other AWS services and affecting many customers. By Peter Sayer Oct 20, 2025 3 mins Amazon Web Services Databases IaaS news Oracle targets agentic use cases with AI Database 26ai The latest version of the Oracle database comes with agent builders and MCP Server integration to help developers embed automation into their workflows. By Anirban Ghoshal Oct 14, 2025 4 mins Artificial Intelligence Data Management Databases opinion Optimizing queries by using observability Want faster, smarter queries? Observability gives engineers the visibility to tune performance before users ever notice a slowdown. By Neel Shah Oct 6, 2025 4 mins Databases Java SQL analysis Using Microsoft’s Data API builder for Azure databases Microsoft’s declarative REST and GraphQL API design tool supports MySQL and Postgres as well as Azure databases and works anywhere you can run a Docker container. By Simon Bisson Oct 2, 2025 8 mins APIs Databases Microsoft Azure feature The best new features in Postgres 18 Asynchronous I/O, OAuth authentication, expanded SQL standards support, and new extension capabilities give developers faster performance, stronger security, and greater flexibility. By Tom Kincaid Sep 25, 2025 6 mins Analytics Data Management Databases feature Do vector-native databases beat add-ons for AI applications? Even though traditional databases now support vector types, vector-native databases have the edge for AI development. Here’s how to choose. By Bill Doerrfeld Sep 22, 2025 10 mins Analytics Databases Generative AI Show more Show less View all Video on demand video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Careers Cloud Computing Data Management Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages View all topics All topics Close Browse all topics and categories below. Analytics Artificial Intelligence Careers Cloud Computing Data Management Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Show me more Latest Articles Videos analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://www.infoworld.com/analytics/ | Analytics | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Analytics Analytics Analytics | News, analysis, features, how-tos, and videos Explore related topics Big Data Business Intelligence Data Engineering Data Science Data Visualization Data Warehousing Predictive Analytics Latest from today news Microsoft acquires Osmos to ease data engineering bottlenecks in Fabric The acquisition could help enterprises push analytics and AI projects into production faster while acting as the missing autonomy layer that connects Fabric’s recent enhancements into a coherent system. By Anirban Ghoshal Jan 7, 2026 4 mins Analytics Artificial Intelligence Data Engineering feature 6 incredibly hyped software trends that failed to deliver By Bill Doerrfeld Jan 5, 2026 13 mins Big Data Blockchain Technology Industry news Snowflake software update caused 13-hour outage across 10 regions By Gyana Swain Dec 19, 2025 5 mins Analytics Cloud Storage Data Warehousing analysis Why your next cloud bill could be a trap By David Linthicum Dec 19, 2025 7 mins Analytics Generative AI Predictive Analytics opinion Before you build your first enterprise AI app By Matt Asay Dec 15, 2025 8 mins Analytics Data Quality Data Science feature InfoWorld’s 2025 Technology of the Year Award winners By InfoWorld Awards Team Dec 15, 2025 48 mins APIs Application Security DevSecOps news R language is making a comeback – Tiobe By Paul Krill Dec 8, 2025 3 mins Data Science Python R Language analysis How to ensure your enterprise data is ‘AI ready’ By Isaac Sacolick Dec 2, 2025 12 mins Business Intelligence Generative AI Machine Learning opinion Why data contracts need Apache Kafka and Apache Flink By Matthew OKeefe Dec 2, 2025 11 mins Analytics Big Data Data Management Articles opinion Four important lessons about context engineering Four big lessons, seven practical tips, three useful patterns, and five common antipatterns we learned from building an AI CRM. By Md Abdul Halim Rafi Nov 27, 2025 10 mins Artificial Intelligence Data Engineering Generative AI feature Getting the enterprise data layer unstuck for AI For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. By Travis Van Nov 26, 2025 9 mins Analytics Big Data Generative AI news Snowflake to acquire Select Star to enhance its Horizon Catalog The enhancements in Horizon Catalog would allow enterprises to build context for AI-driven applications and autonomous agents from data stored outside Snowflake. By Anirban Ghoshal Nov 25, 2025 4 mins Analytics Artificial Intelligence Data Warehousing opinion Improving annotation quality with machine learning Treating annotation as a data understanding problem, rather than a labeling workflow challenge, can systematically drive down error rates and reduce the time and cost of producing high-quality data sets. By Nick Lotz Nov 20, 2025 9 mins Data Engineering Generative AI Machine Learning brandpost Sponsored by Google Building an analytics architecture for unstructured data and multimodal AI Discover best practices that allow data pipelines to scale and support both structured and unstructured data. By Ganesh Kumar Gella, Sr. Director, Engineering, Google BigQuery Generative AI Initiatives Jun 11, 2025 5 mins Artificial Intelligence Big Data news Google BigQuery gets managed AI functions to simplify unstructured data analysis The new managed functions will let enterprises apply LLM reasoning to structured and unstructured data directly in SQL, eliminating prompt tuning and external tools. By Anirban Ghoshal Nov 14, 2025 4 mins Analytics Artificial Intelligence Data Warehousing news Snowflake to acquire Datometry to bolster its automated migration tools Company plans to integrate Datometry’s technology into SnowConvert AI. By Anirban Ghoshal Nov 11, 2025 3 mins Analytics Artificial Intelligence Data Warehousing feature What is generative AI? How artificial intelligence creates content Generative AI models can carry on conversations, answer questions, write stories, produce source code, and create images and videos of almost any description. Here's how generative AI works, how it's being used, and why it’s more limited than you might think. By Josh Fruhlinger Nov 7, 2025 13 mins Data Science Generative AI Technology Industry opinion Was data mesh just a fad? The data mesh architecture promised to eliminate the inefficiencies and errors of the data lake. What went wrong? By Nidhin Ponon Nov 3, 2025 6 mins Analytics Big Data Data Architecture opinion Implementing predictive monitoring with AIOps AIOps isn’t just a buzzword — it helps teams predict issues before they happen and fix them automatically with smart, connected monitoring. By Sopuluchukwu Ani Oct 20, 2025 6 mins Analytics Hybrid Cloud Predictive Analytics how-to How to run an R data visualization chatbot you can talk to Posit’s ggbot2 is a voice assistant for ggplot2. Tell it what you want in a spoken conversation, and it will generate plots and ggplot2 R code from your data. By Sharon Machlis Oct 16, 2025 8 mins Generative AI Programming Languages R Language feature 7 newer data science tools you should be using with Python Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. By Serdar Yegulalp Oct 15, 2025 8 mins Data Science Development Tools Python news Oracle debuts Iceberg-compatible Autonomous AI Lakehouse to boost enterprise analytics The new lakehouse offering marks a significant change in Oracle’s strategy, with the vendor moving from a single-cloud model to recognizing enterprises’ need for flexibility across platforms, analysts say. By Anirban Ghoshal Oct 14, 2025 5 mins Analytics Artificial Intelligence Show more Show less View all Video on demand video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages View all topics All topics Close Browse all topics and categories below. Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Show me more Latest Articles Videos analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://www.linkedin.com/products/solarwinds-security-event-manager/?trk=products_details_guest_other_products_by_org_section_product_link_result-card_image-click | Security Event Manager | LinkedIn Skip to main content LinkedIn SolarWinds 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 Security Event Manager Security Information & Event Management (SIEM) Software by SolarWinds See who's skilled in this Add as skill Learn more Report this product About Improve your security posture with an easy-to-use, affordable SolarWinds Security Event Manager (formerly Log & Event Manager). Try a free trial! Media Products media viewer No more previous content No more next content Similar products Microsoft Sentinel Microsoft Sentinel Security Information & Event Management (SIEM) Software Guard Guard Security Information & Event Management (SIEM) Software Splunk Enterprise Security Splunk Enterprise Security Security Information & Event Management (SIEM) Software Elastic Security Elastic Security Security Information & Event Management (SIEM) Software IBM Security QRadar SIEM IBM Security QRadar SIEM Security Information & Event Management (SIEM) Software Wazuh Wazuh Security Information & Event Management (SIEM) Software Sign in to see more Show more Show less SolarWinds products NetFlow Traffic Analyzer NetFlow Traffic Analyzer Network Traffic Analysis (NTA) Tools Serv-U File Transfer Protocol Server Serv-U File Transfer Protocol Server File Transfer Protocol (FTP) Software Serv-U Managed File Transfer Server Serv-U Managed File Transfer Server Managed File Transfer (MFT) Software SolarWinds AppOptics APM SolarWinds AppOptics APM Application Performance Monitoring (APM) Software Solarwinds Mail Assure Solarwinds Mail Assure Email Security Software SolarWinds Papertrail SolarWinds Papertrail Log Management Software SolarWinds Service Desk SolarWinds Service Desk Service Desk Software SolarWinds Web Performance Monitor SolarWinds Web Performance Monitor Website Monitoring 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 | 2026-01-13T09:29:27 |
https://www.shopify.com/ca | Shopify: Your Commerce Platform to Sell Online & In Person - Shopify Canada Skip to Content Solutions Start Start your business . Build your brand Create your website . Online store editor Customize your store . Store themes Find business apps . Shopify app store Own your site domain . Domains & hosting Explore free business tools . Tools to run your business Sell Sell your products . Sell online or in person Check out customers . World-class checkout Sell online . Grow your business online Sell across channels . Reach millions of shoppers and boost sales Sell in person . Point of Sale (POS) Sell globally . International sales Sell wholesale & direct . Business-to-business (B2B) Accept online payments . Set up forms of payment Market Market your business . Reach & retain customers Market across social . Social media integrations Nurture customers . Shopify Email Know your audience . Gain customer insights Manage Manage your business . 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https://slack.engineering/were-all-just-looking-for-connection/ | We’re All Just Looking for Connection | Engineering at Slack We’re All Just Looking for Connection – Engineering at Slack Skip to main content Articles About --> Search Search Close Search October 10, 2024 Updated: October 11, 2024 9 min read We’re All Just Looking for Connection Brett Wines Senior Staff Engineer, Infrastructure Search Latest Posts December 1, 2025 10 min read Streamlining Security Investigations with Agents November 19, 2025 10 min read Android VPAT journey November 6, 2025 18 min read Build better software to build software better October 23, 2025 15 min read Advancing Our Chef Infrastructure: Safety Without Disruption October 7, 2025 11 min read Deploy Safety: Reducing customer impact from change Archives 2025 (9) 2024 (19) 2023 (16) 2022 (21) 2021 (24) 2020 (26) 2019 (21) 2018 (11) 2017 (21) 2016 (19) We’ve been working to bring components of Quip’s technology into Slack with the canvas feature, while also maintaining the stand-alone Quip product. Quip’s backend, which powers both Quip and canvas, is written in Python. This is the story of a tricky bug we encountered last July and the lessons we learned along the way about being careful with TCP state. We hope that showing you how we tackled our bug helps you avoid — or find — similar bugs in the future! Our adventure began with a spike in EOFError errors during SQL queries. The errors were distributed across multiple services and multiple database hosts: Investigation The stacktrace showed an asyncio.IncompleteReadError , which we translate to EOFError , when reading the response from the database: File "core/mysql.py", line 299, in __read_result_set header = await self.__read_packet(timeout=timeout) File "core/mysql.py", line 532, in __read_packet header = await self.conn.read_exactly(4, timeout=timeout) File "core/runtime_asyncio.py", line 1125, in read_exactly raise EOFError() from None Here’s the relevant code, which had not been touched recently, along with some associated baffled commentary: async def _perform_query_locked(...) -> core.sql.Result: ... if not self.conn.is_connected(): await self.__connect(...) await self.__send_command(...) result_set = await self.__read_result_set(...) # <-- EOFError There are a few places where we close our connection to the database, e.g. if we see one of a certain set of errors. One initial hypothesis was that another Python coroutine closed the connection for its own reasons, after we issued the query but before we read the response. We quickly discarded that theory since connection access is protected with an in-memory lock, which is acquired at a higher level in the code. Since that would be impossible, we reasoned that the other side of the connection must have closed on us. This theory was bolstered when we found that our database proxies closed a bunch of connections at the time of the event. The closes were distributed independent of database host, which was consistent with the incident’s surface area. The proxy-close metric, ClientConnectionsClosed , represents closes initiated by either side, but we have a separate metric for when we initiate the close, and there was no increase in activity from us at the time. The timing here was extremely suspicious, although it still didn’t quite make sense why this should result in such a high rate of errors on the response read since we had just ensured connection state. Something clearly wasn’t adding up, so it was time to dig deeper. Suspecting the if not self.conn.is_connected(): line, we looked at our implementation for AsyncioConnection : class AsyncioConnection(core.runtime.Connection[memoryview]): def closed(self) -> bool: return not self.writer or self.writer.is_closing() def is_connected(self) -> bool: return self.connected Both of these functions turned out to be incorrect. First, let’s look at closed() . Each Asyncio connection has a StreamReader and a StreamWriter . Our code suggested that the closed state is only a function of the writer, which is controlled by the application server, not the reader. This seemed suspiciously incomplete to us since we expected only the reader to be aware of whether the other side closed the connection. We proved this with a unit test: async def test_reader_at_eof_vs_writer_is_closing(self): conn = await self.create_connection() # Ask the unit test's server to close await conn.write(self.encode_command("/quit")) # Don't read. Still open since we haven't seen the # response yet self.assertFalse(conn.writer.is_closing()) # Read, then sleep(0) since it requires another run # through the scheduler loop so the stream can detect # the zero read/eof response = await conn.read_until(self.io_suffix) await core.runtime.sleep(0) self.assertTrue(conn.reader.at_eof()) # passes self.assertTrue(conn.writer.is_closing()) # fails Next, let’s look at is_connected() . First, it’s not a function of closed() , so the two have the potential to drift. Second, it could return a false positive: the only place where we set the instance variable self.connected to false is when the application server closes the connection, so similar to closed() it’s unaware of the reader being in the EOF state. We decided to log a metric so we could compare self.connected to not self.closed() to see exactly how much they drift. We found six more bugs, which led to one coworker coining the delightful phrase “when you go picking up rocks, you might find things under those rocks,” which we immediately adopted: is_connected() could also be a false negative. We saw that the false negatives only occurred on the services that maintain websocket connections to clients. The only place we set self.connected to true is when the application server initiates the connection, so it’s never set to true when it’s initiated by the client. There is a check we perform upon connection lock release to see if there is any data on the connection we haven’t read. It was incorrect to perform this check in some circumstances on websocket connections since it’s expected that the client can send data at any point in time. Our HTTP client pool could contain closed clients. We didn’t correctly handle exceptions during reconnect. We found another place where we should be removing connections from the pool. The Redis-specific cleanup we thought we would always do upon connection close wasn’t happening when the close wasn’t initiated by the application server. Resolution At this point we had all the pieces of the puzzle and were able to understand the sequence of events: The proxy closed database connections on us. After communicating with AWS we learned that they introduced behavior where the proxy closes connections after 24h even if it isn’t idle, so the closes were tied to our daily release, which restarts all of our servers. We failed to recognize the connections were closed since the close was not initiated by us, and as a result we did not reconnect prior to issuing SQL queries. We’d issue a query, then attempt to read the response, but the reader would be in the EOF state from the close, so it would raise EOFError . We deployed the fix and saw the near-total reduction in EOFError during SQL queries: As we deployed the fix for the case where connections are initiated by the client, the false negatives disappeared entirely, too: The Asyncio Migration The primary impact of this bug fix, however, wasn’t even the improved handling of connection closes. The primary impact was the unblocking of the Python runtime migration. The migration project began in 2020 and was from our custom runtime — we were early adopters of Python 3 — to asyncio , the standard Python IO library introduced in 3.4. The project ran smoothly and was enabled in all environments with just one exception: one service on our largest single-tenant cluster, since the customer would sporadically experience timeouts when exporting spreadsheets to PDF. The issue only occurred at times of peak load and was difficult to reproduce, so the project stalled. This PDF export handler makes an RPC request to another service that handles the PDF generation itself. That request goes over an existing connection from a connection pool, if one exists. If the RPC service is overloaded, it may close that connection, and if so we would fail to recognize that. The handler would fire off the RPC request, but the other side wouldn’t be listening, so that request would hang on write and eventually time out since the buffer would never get drained by the RPC service. For small exports we expect it would have raised an EOFError immediately instead of hanging since it wouldn’t completely fill the buffer. After launching the connection state fixes, we re-enabled asyncio on the final service, and confirmed that the errors didn’t recur. The asyncio project resumed, entered a very satisfying phase of deleting code in our custom runtime scheduler, and concluded shortly after. Conclusion This is tricky to get right! As we see from https://man7.org/linux/man-pages/man3/shutdown.3p.html a socket can be in a half-shutdown state. We had expected from the documentation that StreamWriter.is_closing() would encompass that half-shutdown state, but we should have been more careful: Return True if the stream is closed or in the process of being closed. In fact, both the default event loop and uvloop contain the same behavior as we did, where the closing state is only set upon client-initiated close. This explains why the unit test mentioned before failed both with uvloop enabled and disabled and why it was insufficient to depend only on StreamWriter.is_closing() . When the other side of a TCP connection sends FIN , we enter the CLOSE WAIT state. But in that state we can still attempt to read for as long as we like. We’ll only exit that state when we tell the OS to close or shut down the socket. Above all, my personal takeaway is to always pick up rocks[1]. In this case it could have been tempting to simply call it a day after adding EOFError to the list of exceptions upon which we reissue the query to a failover database. But with low-level code, it’s usually worth the extra time and effort to dig a bit deeper if something just doesn’t quite seem right. Even if things are mostly fine on the surface, bugs down there can have far-reaching effects. Special thanks to Ross Cohen for his hard work and camaraderie through this rollercoaster of a bug. Couldn’t ask for a better buddy on this one! If you enjoyed this post, you might also like working here. Check out our careers page ! [1] You might find things under those rocks! # database # infrastructure # networking # python Copied! Previous Post Driving a Project: Intern Edition After a lot of hard work, you’ve landed that coveted internship. 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https://docs.aws.amazon.com/de_de/AmazonCloudWatch/latest/monitoring/AlarmThatSendsEmail.html | CloudWatch Amazon-Alarme verwenden - Amazon CloudWatch CloudWatch Amazon-Alarme verwenden - Amazon CloudWatch Dokumentation Amazon CloudWatch Benutzer-Leitfaden Metrikalarm-Status Auswerten eines Alarms Alarmaktionen Konfigurieren der Reaktion von Alarmen auf fehlende Daten Hochauflösende Alarme Alarme bei mathematischen Ausdrücken Perzentilbasierte Alarme und Stichproben mit wenigen Daten Gemeinsame Merkmale von Alarmen CloudWatch Die vorliegende Übersetzung wurde maschinell erstellt. Im Falle eines Konflikts oder eines Widerspruchs zwischen dieser übersetzten Fassung und der englischen Fassung (einschließlich infolge von Verzögerungen bei der Übersetzung) ist die englische Fassung maßgeblich. CloudWatch Amazon-Alarme verwenden Sie können Alarme erstellen, die Metriken überwachen und Benachrichtigungen senden oder automatisch Änderungen an den Ressourcen vornehmen, die Sie überwachen, wenn ein Schwellenwert überschritten wird. Sie können beispielsweise die CPU-Auslastung und die Festplatten-Lese- und Schreibvorgänge Ihrer EC2 Amazon-Instances überwachen und dann anhand dieser Daten bestimmen, ob Sie zusätzliche Instances starten sollten, um die erhöhte Last zu bewältigen. Sie können diese Daten auch verwenden, um unausgelastete Instances anzuhalten und dadurch Geld zu sparen. Sie können in Amazon sowohl metrische als auch zusammengesetzte Alarme erstellen CloudWatch. Sie können Alarme für Metrics Insights-Abfragen erstellen, die AWS Ressourcen-Tags verwenden, um Metriken zu filtern und zu gruppieren. Um Tags mit Alarmen zu verwenden https://console.aws.amazon.com/connect/ , wählen Sie auf dem Einstellungen aus. Wählen Sie auf der Seite CloudWatch Einstellungen unter Ressourcen-Tags für Telemetrie aktivieren die Option Aktivieren aus. Für eine kontextsensitive Überwachung, die sich automatisch an Ihre Tagging-Strategie anpasst, erstellen Sie mithilfe von Ressourcen-Tags Alarme für Metrics Insights-Abfragen. AWS Auf diese Weise können Sie alle Ressourcen überwachen, die bestimmten Anwendungen oder Umgebungen zugeordnet sind. Ein metrischer Alarm überwacht eine einzelne CloudWatch Metrik oder das Ergebnis eines mathematischen Ausdrucks, der auf Metriken basiert. CloudWatch Der Alarm führt eine oder mehrere Aktionen durch, die vom Wert der Metrik oder des Ausdrucks im Vergleich zu einem Schwellenwert in einer Reihe von Zeiträumen abhängt. Die Aktion kann das Senden einer Benachrichtigung an ein Amazon SNS SNS-Thema, das Ausführen einer EC2 Amazon-Aktion oder einer Amazon EC2 Auto Scaling Scaling-Aktion, das Starten einer Untersuchung im Rahmen von CloudWatch Untersuchungen, Betriebsuntersuchungen oder das Erstellen eines OpsItem OR-Vorfalls in Systems Manager sein. Ein zusammengesetzter Alarm enthält einen Regelausdruck, der die Alarmstatus anderer Alarme, die Sie erstellt haben, berücksichtigt. Der zusammengesetzte Alarm geht nur dann in den ALARM-Status über, wenn alle Bedingungen der Regel erfüllt sind. Die im Regelausdruck eines zusammengesetzten Alarms angegebenen Alarme können Metrikalarme und andere zusammengesetzte Alarme umfassen. Die Verwendung zusammengesetzter Alarme kann das Alarmrauschen reduzieren. Sie können mehrere metrische Alarme erstellen und auch einen zusammengesetzten Alarm erstellen und Alarme nur für den zusammengesetzten Alarm einrichten. Beispielsweise kann ein zusammengesetzter Alarm nur dann in den ALARM-Status übergehen, wenn sich alle zugrunde liegenden Metrikalarme im ALARM-Status befinden. Zusammengesetzte Alarme können Amazon SNS SNS-Benachrichtigungen senden, wenn sie ihren Status ändern, und können Untersuchungen, Systems Manager oder Vorfälle auslösen OpsItems, wenn sie in den ALARM-Status wechseln, aber keine EC2 Aktionen oder Auto Scaling Scaling-Aktionen ausführen. Anmerkung Sie können in Ihrem AWS Konto so viele Alarme erstellen, wie Sie möchten. Sie können Dashboards mit Alarmen versehen, so dass Sie Ihre AWS -Ressourcen und Anwendungen über mehrere Regionen hinweg überwachen und Warnmeldungen erhalten können. Nachdem Sie einen Alarm zu einem Dashboard hinzugefügt haben, wird der Alarm grau, wenn er sich im INSUFFICIENT_DATA -Zustand befindet, und rot, wenn er sich im ALARM -Zustand befindet. Der Alarm wird ohne Farbe angezeigt, wenn er sich im OK -Zustand befindet. Sie können kürzlich besuchte Alarme auch über die Option Favoriten und zuletzt verwendete Alarme im Navigationsbereich der CloudWatch Konsole zu Favoriten hinzufügen. Die Option Favoriten und kürzlich aufgerufene enthält Spalten für Ihre bevorzugten Alarme und die zuletzt besuchten Alarme. Ein Alarm ruft Aktionen nur auf, wenn sich der Status des Alarms ändert. Eine Ausnahme bilden Alarme mit Auto-Scaling-Aktionen. Bei Auto-Scaling-Aktionen ruft der Alarm die Aktion weiterhin einmal pro Minute auf, sodass der Alarm im neuen Zustand bleibt. Ein Alarm kann eine Metrik im selben Konto beobachten. Wenn Sie die kontoübergreifende Funktion in Ihrer CloudWatch Konsole aktiviert haben, können Sie auch Alarme erstellen, die Messwerte anderer AWS Konten überwachen. Das Erstellen von kontoübergreifenden zusammengesetzten Alarmen wird nicht unterstützt. Das Erstellen von kontoübergreifenden Alarmen, die mathematische Ausdrücke verwenden, wird unterstützt, außer dass die ANOMALY_DETECTION_BAND -, INSIGHT_RULE - und SERVICE_QUOTA -Funktionen für kontoübergreifende Alarme nicht unterstützt werden. Anmerkung CloudWatch testet oder validiert die von Ihnen angegebenen Aktionen nicht und erkennt auch keine Amazon EC2 Auto Scaling- oder Amazon SNS-Fehler, die auf den Versuch zurückzuführen sind, nicht existierende Aktionen aufzurufen. Stellen Sie sicher, dass die Alarmaktionen vorhanden sind. Metrikalarm-Status Ein Metrikalarm kann die folgenden Status aufweisen: OK – Die Metrik oder der Ausdruck liegt innerhalb des festgelegten Schwellenwerts. ALARM – Die Metrik oder der Ausdruck liegt außerhalb des festgelegten Schwellenwerts. INSUFFICIENT_DATA – Der Alarm wurde soeben gestartet; die Metrik ist nicht verfügbar oder es sind nicht genügend Daten verfügbar, damit die Metrik den Alarmstatus bestimmen kann. Auswerten eines Alarms Wenn Sie einen Alarm erstellen, geben Sie drei Einstellungen an, anhand derer bewertet werden kann CloudWatch , wann der Alarmstatus geändert werden muss: Zeitraum ist die Zeitspanne, die für die Auswertung der Metrik oder des Ausdrucks verwendet wird, um jeden einzelnen Datenpunkt für einen Alarm zu erstellen. Sie wird in Sekunden angegeben. Evaluation Periods (Auswertungszeiträume) ist die Anzahl der neuesten Zeiträume, oder Datenpunkte, die beim Ermitteln des Alarmzustands zu bewerten sind. Datapoints to Alarm (Datenpunkte zum Alarm) ist die Anzahl der Datenpunkte innerhalb des Auswertungszeitraums, die überschritten werden müssen, um zu bewirken, dass der Alarm in den ALARM -Status versetzt wird. Die überschrittenen Datenpunkte müssen nicht aufeinanderfolgend sein, aber sie müssen alle innerhalb der letzten Datenpunkte liegen (dem Auswertungszeitraum entsprechend). Für einen Zeitraum von einer Minute oder länger wird jede Minute ein Alarm ausgewertet, und die Auswertung basiert auf dem durch den Zeitraum und die Bewertungszeiträume definierten Zeitfenster. Wenn der Zeitraum beispielsweise 5 Minuten (300 Sekunden) und der Bewertungszeiträume 1 ist, wird der Alarm am Ende von Minute 5 auf der Grundlage von Daten zwischen Minuten 1 und 5 ausgewertet. Am Ende von Minute 6 wird der Alarm dann auf der Grundlage der Daten aus den Minuten 2 bis 6 ausgewertet. Wenn der Alarmzeitraum 10 Sekunden, 20 Sekunden oder 30 Sekunden beträgt, wird der Alarm alle 10 Sekunden ausgewertet. Wenn die Anzahl der Auswertungszeiträume für einen Alarm multipliziert mit der Länge der einzelnen Auswertungszeiträume einen Tag überschreitet, wird der Alarm einmal stündlich ausgewertet. Weitere Informationen zur Auswertung dieser mehrtägigen Alarme finden Sie im Beispiel am Ende dieses Abschnitts. In der folgenden Abbildung ist die Alarmschwelle für einen Metrikalarm auf drei Einheiten festgelegt. Sowohl der Auswertungszeitraum als auch die Datenpunkte zum Alarm sind 3. Das heißt, wenn alle vorhandenen Datenpunkte in den letzten drei aufeinanderfolgenden Perioden über dem Schwellenwert liegen, wechselt der Alarm in den Status ALARM . In der Abbildung geschieht dies im dritten bis zum fünften Zeitraum. Bei Zeitraum 6 fällt der Wert unter den Schwellenwert, sodass einer der auszuwertenden Zeiträume keinen Schwellenwert verletzt, und der Alarmstatus ändert sich wieder in OK . Im neunten Zeitraum wird der Schwellenwert erneut verletzt, jedoch nur für einen Zeitraum. Daher bleibt der Alarmstatus OK . Wenn Sie Evaluation Periods (Auswertungszeiträume) und Datapoints to Alarm (Datenpunkte zum Alarm) als unterschiedliche Werte konfigurieren, legen Sie einen „M von N“-Alarm fest. Datapoints to Alarm (Datenpunkte zum Alarm) ist („M“), Evaluation Periods (Auswertungszeiträume) ist („N“). Das Auswertungsintervall ist die Anzahl der Auswertungsperioden multipliziert mit der Zeitraumlänge. Wenn Sie beispielsweise 4 von 5 Datenpunkten mit einem Zeitraum von 1 Minute konfigurieren, beträgt das Auswertungsintervall 5 Minuten. Wenn Sie 3 von 3 Datenpunkten mit einem Zeitraum von 10 Minuten konfigurieren, beträgt das Auswertungsintervall 30 Minuten. Anmerkung Wenn kurz nach dem Erstellen eines Alarms Datenpunkte fehlen und die Metrik CloudWatch vor der Erstellung des Alarms gemeldet wurde, CloudWatch ruft es bei der Auswertung des Alarms die neuesten Datenpunkte ab, die vor der Erstellung des Alarms erstellt wurden. Beispiel für die Auswertung eines mehrtägigen Alarms Ein Alarm ist ein mehrtägiger Alarm, wenn die Anzahl der Auswertungszeiträume multipliziert mit der Länge jedes Auswertungszeitraums einen Tag überschreitet. Mehrtägige Alarme werden einmal pro Stunde ausgewertet. Bei der Auswertung von mehrtägigen Alarmen werden bei der Auswertung nur die Messwerte bis zur aktuellen Stunde in der:00 Minute CloudWatch berücksichtigt. Stellen Sie sich zum Beispiel einen Alarm vor, der einen Job überwacht, der alle 3 Tage um 10:00 Uhr ausgeführt wird. Um 10:02 Uhr schlägt der Job fehl Um 10:03 Uhr wird der Alarm ausgewertet und behält seinen Status OK bei, da bei der Auswertung nur Daten bis 10:00 Uhr berücksichtigt werden. Um 11:03 Uhr berücksichtigt der Alarm Daten bis 11:00 Uhr und wechselt in den Status ALARM . Um 11:43 Uhr korrigieren Sie den Fehler und der Job wird wieder erfolgreich ausgeführt. Um 12:03 Uhr wird der Alarm erneut ausgewertet, erkennt den erfolgreichen Job und kehrt zum Status OK zurück. Alarmaktionen Sie können angeben, welche Aktionen ein Alarm ausführt, wenn er den Zustand zwischen den Zuständen OK, ALARM und INSUPFIZIENT_DATA ändert. Die meisten Aktionen können für den Übergang in jeden der drei Zustände festgelegt werden. Mit Ausnahme der Auto-Scaling-Aktionen finden die Aktionen nur bei Zustandsübergängen statt und werden nicht erneut ausgeführt, wenn der Zustand über Stunden oder Tage anhält. Die Tatsache, dass für einen Alarm mehrere Aktionen zulässig sind, können Sie nutzen, um eine E-Mail zu senden, wenn ein Schwellenwert durchbrochen wird, und dann eine weitere, wenn die Durchbrechungsbedingung endet. So können Sie überprüfen, ob Ihre Skalierungs- oder Wiederherstellungsaktionen wie erwartet ausgelöst werden und wie gewünscht funktionieren. Folgende Aktionen werden als Alarmaktionen unterstützt. Benachrichtigen Sie einen oder mehrere Subscriber mithilfe eines Themas von Amazon Simple Notification Service . Subscriber können sowohl Anwendungen als auch Personen sein. Mehr Informationen zu Amazon SNS finden Sie unter Was ist Amazon SNS? . Rufen Sie eine Lambda-Funktion auf. Dies ist die einfachste Methode für Sie, benutzerdefinierte Aktionen bei Änderungen des Alarmstatus zu automatisieren. Auf EC2 Metriken basierende Alarme können auch EC2 Aktionen wie das Stoppen, Beenden, Neustarten oder Wiederherstellen einer Instanz ausführen. EC2 Weitere Informationen finden Sie unter Erstellen Sie Alarme, um eine Instanz zu stoppen, zu beenden, neu zu starten oder wiederherzustellen EC2 . Alarme können auch Aktionen ausführen, um eine Auto-Scaling-Gruppe zu skalieren . Weitere Informationen finden Sie unter Richtlinien zur schrittweisen und einfachen Skalierung für Amazon EC2 Auto Scaling . Alarme können OpsItems im Systems Manager Ops Center oder Vorfälle im AWS Systems Manager Incident Manager erstellt werden. Diese Aktionen werden nur ausgeführt, wenn der Alarm in den Zustand ALARM wechselt. Weitere Informationen finden Sie unter Konfiguration, CloudWatch um Alarme OpsItems aus Alarmen zu erstellen und Incident-Erstellung . Ein Alarm kann eine Untersuchung einleiten, wenn er in den Status ALARM wechselt. Weitere Informationen zu CloudWatch Untersuchungen finden Sie unter CloudWatch Untersuchungen . Alarme geben auch Ereignisse aus, Amazon EventBridge wenn sie ihren Status ändern, und Sie können festlegen, Amazon EventBridge dass bei diesen Statusänderungen andere Aktionen ausgelöst werden. Weitere Informationen finden Sie unter Was ist Amazon EventBridge? . Konfiguration der Behandlung fehlender Daten durch CloudWatch Alarme Manchmal wird nicht jeder erwartete Datenpunkt für eine Metrik gemeldet CloudWatch. Dies kann z. B. der Fall sein, wenn eine Verbindung unterbrochen wird, ein Server ausfällt oder wenn eine Metrik Daten grundsätzlich nur intermittierend meldet. CloudWatch ermöglicht es Ihnen, festzulegen, wie fehlende Datenpunkte bei der Auswertung eines Alarms behandelt werden sollen. Dies hilft Ihnen, Ihren Alarm so zu konfigurieren, dass er nur dann in den ALARM -Zustand wechselt, wenn dies für den überwachten Datentyp angemessen ist. Sie können Fehlalarme vermeiden, wenn fehlende Daten nicht auf ein Problem hinweisen. Ähnlich wie sich jeder Alarm immer in einem von drei Zuständen befindet, CloudWatch fällt jeder spezifische Datenpunkt, an den gemeldet wird, in eine von drei Kategorien: Keine Verletzung (innerhalb des Schwellenwerts) Verletzung (verletzt den Schwellenwert) Fehlen Für jeden Alarm können Sie angeben CloudWatch , dass fehlende Datenpunkte wie folgt behandelt werden sollen: notBreaching – Fehlende Datenpunkte werden als „gut“ und innerhalb der Schwelle liegend behandelt breaching – Fehlende Datenpunkte werden als „ungültig“ und außerhalb der Schwelle liegend behandelt ignore – Der aktuelle Alarmstatus wird beibehalten missing – Wenn alle Datenpunkte im Alarmauswertungsbereich fehlen, wechselt der Alarm zu INSUPFIZIENT_DATA. Die beste Wahl ist abhängig von der Art der Metrik und dem Zweck des Alarms. Wenn Sie beispielsweise einen Anwendungs-Rollback-Alarm mithilfe einer Metrik erstellen, die kontinuierlich Daten meldet, sollten Sie fehlende Datenpunkte möglicherweise als Sicherheitsverletzung behandeln, da dies darauf hindeuten könnte, dass etwas nicht stimmt. Aber für eine Metrik, die nur Datenpunkte generiert, wenn ein Fehler auftritt, z. B. ThrottledRequests in Amazon DynamoDB, sollten Sie fehlende Daten als notBreaching behandeln. Das Standardverhalten ist missing . Wichtig Für EC2 Amazon-Metriken konfigurierte Alarme können vorübergehend den Status INSUFFICIENT_DATA annehmen, wenn Metrikdatenpunkte fehlen. Dies ist selten, kann aber passieren, wenn die Metrikberichterstattung unterbrochen wird, selbst wenn die EC2 Amazon-Instance fehlerfrei ist. Für Alarme auf EC2 Amazon-Metriken, die so konfiguriert sind, dass sie Aktionen zum Stoppen, Beenden, Neustarten oder Wiederherstellen ausführen, empfehlen wir, diese Alarme so zu konfigurieren missing , dass fehlende Daten als solche behandelt werden und dass diese Alarme nur ausgelöst werden, wenn sie sich im ALARM-Status befinden. Wenn Sie die beste Option für Ihren Alarm wählen, werden unnötige und irreführende Änderungen an Alarmbedingungen verhindert und der Zustand Ihres Systems wird genauer angeben. Wichtig Alarme, die Metriken im AWS/DynamoDB -Namespace bewerten, ignorieren immer fehlende Daten, auch wenn Sie eine andere Option wählen, wie der Alarm fehlende Daten behandeln soll. Wenn für eine AWS/DynamoDB -Metrik Daten fehlen, verbleiben Alarme, die diese Metrik auswerten, in ihrem aktuellen Zustand. Wie der Alarmstatus bei fehlenden Daten ausgewertet wird Immer wenn ein Alarm auswertet, ob der Status geändert werden soll, CloudWatch versucht er, eine höhere Anzahl von Datenpunkten als die als Bewertungszeiträume angegebene Anzahl abzurufen. Die genaue Anzahl der Datenpunkte, die er abzurufen versucht, hängt von der Länge des Alarmzeitraums und davon ab, ob er auf einer Metrik mit Standardauflösung oder hoher Auflösung basiert. Der Zeitrahmen der Datenpunkte, die sie abzurufen versucht, ist der Auswertungsbereich . Sobald diese Datenpunkte CloudWatch abgerufen wurden, passiert Folgendes: Wenn keine Datenpunkte im Bewertungsbereich fehlen, wird der Alarm auf der Grundlage der zuletzt erfassten Datenpunkte CloudWatch ausgewertet. Die Anzahl der ausgewerteten Datenpunkte entspricht den Auswertungszeiträumen für den Alarm. Die zusätzlichen Datenpunkte von weiter hinten im Auswertungsbereich werden nicht benötigt und ignoriert. Wenn einige Datenpunkte im Bewertungsbereich fehlen, aber die Gesamtzahl der vorhandenen Datenpunkte, die erfolgreich aus dem Bewertungsbereich abgerufen wurden, gleich oder größer als die Bewertungszeiträume des Alarms ist, CloudWatch bewertet der Alarmstatus auf der Grundlage der letzten erfolgreich abgerufenen realen Datenpunkte, einschließlich der erforderlichen zusätzlichen Datenpunkte, die weiter hinten im Bewertungsbereich liegen. In diesem Fall wird der von Ihnen eingestellte Wert für die Behandlung fehlender Daten nicht benötigt und ignoriert. Wenn einige Datenpunkte im Bewertungsbereich fehlen und die Anzahl der tatsächlich abgerufenen Datenpunkte niedriger ist als die Anzahl der Evaluierungsperioden des Alarms, CloudWatch füllt die fehlenden Datenpunkte mit dem Ergebnis auf, das Sie für die Behandlung fehlender Daten angegeben haben, und wertet dann den Alarm aus. Es werden jedoch alle realen Datenpunkte im Bewertungsbereich in die Auswertung einbezogen. CloudWatch verwendet fehlende Datenpunkte nur so wenige Male wie möglich. Anmerkung Ein besonderer Fall dieses Verhaltens besteht darin, dass CloudWatch Alarme den letzten Satz von Datenpunkten für einen bestimmten Zeitraum wiederholt neu auswerten, nachdem die Metrik aufgehört hat zu fließen. Diese Neuauswertung kann dazu führen, dass der Alarm den Status ändert und Aktionen erneut ausführt, wenn er den Status unmittelbar vor dem Stoppen des Messdatenstroms geändert hatte. Um dieses Verhalten zu verhindern, verwenden Sie kürzere Zeiträume. Die folgenden Tabellen zeigen Beispiele für das Verhalten der Alarmauswertung. In der ersten Tabelle haben die Datenpunkte für Alarm - und Bewertungszeiträume jeweils den Wert 3. CloudWatch ruft bei der Auswertung des Alarms die 5 neuesten Datenpunkte ab, falls einige der letzten 3 Datenpunkte fehlen. 5 ist der Bewertungsbereich für den Alarm. In Spalte 1 werden die fünf letzten Datenpunkte angezeigt, da der Auswertungsbereich 5 beträgt. Diese Datenpunkte werden mit dem letzten Datenpunkt auf der rechten Seite angezeigt. 0 ist ein nicht überschreitender Datenpunkt, X ein überschreitender Datenpunkt und - ein fehlender Datenpunkt. In Spalte 2 ist angegeben, wie viele der 3 erforderlichen Datenpunkte fehlen. Obwohl die 5 zuletzt hinzugekommenen Datenpunkte ausgewertet werden, sind zur Bewertung des Alarmstatus nur 3 davon nötig (gemäß der Einstellung für Evaluation Periods (Auswertungszeiträume) ). Die Anzahl der Datenpunkte in Spalte 2 ist die Anzahl der Datenpunkte, die ausgefüllt sein muss. Dabei wird die Einstellung zur Behandlung fehlender Daten verwendet. In den Spalten 3-6 sind die Spaltenüberschriften die möglichen Werte für die Behandlung fehlender Daten. Die Zeilen in diesen Spalten zeigen den Alarmstatus an, der für jede dieser möglichen Methoden zur Behandlung fehlender Daten festgelegt ist. Datenpunkte Anzahl der Datenpunkte, die ausgefüllt werden müssen MISSING IGNORE ÜBERSCHREITEND NICHT ÜBERSCHREITEND 0 - X - X 0 OK OK OK OK - - - - 0 2 OK OK OK OK - - - - - 3 INSUFFICIENT_DATA Aktuellen Status beibehalten ALARM OK 0 X X - X 0 ALARM ALARM ALARM ALARM - - X - - 2 ALARM Aktuellen Status beibehalten ALARM OK In der zweiten Zeile der vorhergehenden Tabelle bleibt der Alarm OK , auch wenn fehlende Daten als Überschreitung behandelt werden, weil der eine vorhandene Datenpunkt nicht überschreitend ist. Dies wird zusammen mit zwei fehlenden Datenpunkten ausgewertet, die als Überschreitung behandelt werden. Wenn dieser Alarm das nächste Mal ausgewertet wird, werden die Daten, die noch fehlen, auf ALARM gesetzt, da dieser nicht verletzende Datenpunkt nicht mehr im Auswertebereich liegt. Die dritte Zeile, in der alle fünf letzten Datenpunkte fehlen, veranschaulicht, wie sich die verschiedenen Einstellungen für die Behandlung fehlender Daten auf den Alarmzustand auswirken. Wenn fehlende Datenpunkte als Verletzung betrachtet werden, geht der Alarm in den ALARM-Status, während, wenn sie als nicht verletzt betrachtet werden, dann geht der Alarm in den OK-Zustand über. Wenn fehlende Datenpunkte ignoriert werden, behält der Alarm den aktuellen Zustand vor den fehlenden Datenpunkten bei. Und wenn fehlende Datenpunkte nur als fehlend angesehen werden, dann hat der Alarm nicht genügend aktuelle reale Daten, um eine Auswertung durchzuführen und geht in den Zustand INSUFFIZIENT_DATA. In der vierten Zeile geht der Alarm in allen Fällen in den Zustand ALARM über, da die drei jüngsten Datenpunkte verletzt werden und die Auswertungszeiträume und Datenpunkte zum Alarm des Alarms beide auf 3 gesetzt sind. In diesem Fall wird der fehlende Datenpunkt ignoriert und die Einstellung für die Auswertung fehlender Daten ist nicht erforderlich, da drei reale Datenpunkte ausgewertet werden müssen. Zeile 5 stellt einen Sonderfall der Alarmauswertung dar, der als vorzeitiger Alarmzustand bezeichnet wird. Weitere Informationen finden Sie unter Vermeidung vorzeitiger Übergänge in den Alarmzustand . In der nächsten Tabelle ist Period (Zeitraum) erneut auf 5 Minuten gesetzt, und Datapoints to Alarm (Datenpunkte zum Alarm) ist nur 2, während Evaluation Periods (Auswertungszeiträume) 3 ist. Die ist ein 2-aus-3, M-aus-N-Alarm. Der Auswertungsbereich beträgt 5. Dies ist die maximale Anzahl der zuletzt abgerufenen Datenpunkte und kann verwendet werden, falls einige Datenpunkte fehlen. Datenpunkte Anzahl fehlender Datenpunkte FEHLEND IGNORE ÜBERSCHREITEND NICHT ÜBERSCHREITEND 0 - X - X 0 ALARM ALARM ALARM ALARM 0 0 X 0 X 0 ALARM ALARM ALARM ALARM 0 - X - - 1 OK OK ALARM OK - - - - 0 2 OK OK ALARM OK - - - - X 2 ALARM Aktuellen Status beibehalten ALARM OK In den Zeilen 1 und 2 geht der Alarm immer in den ALARM-Zustand, da 2 der 3 letzten Datenpunkte verletzt werden. In Zeile 2 werden die beiden ältesten Datenpunkte im Auswertebereich nicht benötigt, da keiner der 3 jüngsten Datenpunkte fehlt, daher werden diese beiden älteren Datenpunkte ignoriert. In den Zeilen 3 und 4 geht der Alarm nur dann in den ALARM-Zustand, wenn fehlende Daten als Verletzung behandelt werden. In diesem Fall werden die beiden letzten fehlenden Datenpunkte beide als Verletzung behandelt. In Zeile 4 stellen diese beiden fehlenden Datenpunkte, die als Verletzung behandelt werden, die zwei notwendigen Datenpunkte bereit, um den ALARM-Zustand auszulösen. Zeile 5 stellt einen Sonderfall der Alarmauswertung dar, der als vorzeitiger Alarmzustand bezeichnet wird. Weitere Informationen finden Sie im folgenden Abschnitt. Vermeidung vorzeitiger Übergänge in den Alarmzustand CloudWatch Die Auswertung von Alarmen beinhaltet Logik zur Vermeidung von Fehlalarmen, bei denen der Alarm vorzeitig in den ALARM-Status wechselt, wenn die Daten unterbrochen werden. Das Beispiel, das in Zeile 5 in den Tabellen im vorherigen Abschnitt gezeigt wird, veranschaulicht diese Logik. In diesen Zeilen und in den folgenden Beispielen beträgt der Auswertungszeitraum 3 und der Auswertungsbereich 5 Datenpunkte. Datenpunkte zum Alarm sind 3, mit Ausnahme des Beispiels M von N, wo Datenpunkte zum Alarm 2 sind. Angenommen, die neuesten Daten eines Alarms sind - - - - X , mit vier fehlenden Datenpunkten und dann einem Datenpunkt, der verletzt wird, als neuestem Datenpunkt. Da der nächste Datenpunkt möglicherweise nicht verletzt wird, geht der Alarm nicht sofort in den ALARM-Zustand, wenn die Daten entweder - - - - X oder - - - X - sind und Datenpunkte zum Alarm 3 sind. Auf diese Weise werden Fehlalarme vermieden, wenn der nächste Datenpunkt nicht verletzt wird und dazu führt, dass die Daten - - - X O oder - - X - O sind. Wenn jedoch die letzten paar Datenpunkte - - X - - sind, geht der Alarm in den ALARM-Zustand, auch wenn fehlende Datenpunkte als fehlend behandelt werden. Dies liegt daran, dass Alarme immer in den ALARM-Zustand gehen, wenn der älteste verfügbare verletzende Datenpunkt in der Anzahl der Datenpunkte während der Auswertungszeiträume mindestens so alt ist wie der Wert von Mit Alarm zu versehende Datenpunkte und alle anderen neueren Datenpunkte eine Verletzung darstellen oder fehlen. In diesem Fall geht der Alarm auch dann in den ALARM-Zustand, wenn die Gesamtzahl der verfügbaren Datenpunkte kleiner als M ( Datenpunkte zum Alarm ) ist. Diese Alarmlogik gilt auch für „M von N“ Alarme. Wenn der älteste verletzte Datenpunkt während des Auswertungsbereichs mindestens so alt ist wie der Wert von Datenpunkte zum Alarm und alle neueren Datenpunkte entweder verletzt oder fehlen, geht der Alarm unabhängig vom Wert von M ( Datenpunkte zum Alarm ). Auswerten von Teildaten aus einer Metrics-Insights-Abfrage Wenn die für den Alarm verwendete Metrics-Insights-Abfrage mehr als 10 000 Metriken entspricht, wird der Alarm anhand der ersten 10 000 Metriken ausgewertet, die die Abfrage findet. Das bedeutet, dass der Alarm anhand von Teildaten ausgewertet wird. Sie können die folgenden Methoden verwenden, um herauszufinden, ob ein Metrics-Insights-Alarm seinen Alarmstatus derzeit anhand von Teildaten auswertet: Wenn Sie in der Konsole einen Alarm auswählen, um die Seite Details aufzurufen, erscheint auf dieser Seite die Meldung Evaluation warning: Not evaluating all data (Bewertungswarnung: Es werden nicht alle Daten bewertet). Sie sehen den Wert PARTIAL_DATA in dem EvaluationState Feld, wenn Sie den AWS CLI Befehl describe-alarms oder die API verwenden. DescribeAlarms Alarme veröffentlichen auch Ereignisse an Amazon, EventBridge wenn es in den Status „Teildaten“ übergeht, sodass Sie eine EventBridge Regel erstellen können, um auf diese Ereignisse zu achten. In diesen Ereignissen hat das evaluationState -Feld den Wert PARTIAL_DATA . Im Folgenden wird ein -Beispiel gezeigt. { "version": "0", "id": "12345678-3bf9-6a09-dc46-12345EXAMPLE", "detail-type": "CloudWatch Alarm State Change", "source": "aws.cloudwatch", "account": "123456789012", "time": "2022-11-08T11:26:05Z", "region": "us-east-1", "resources": [ "arn:aws:cloudwatch:us-east-1: 123456789012 :alarm: my-alarm-name " ], "detail": { "alarmName": " my-alarm-name ", "state": { "value": "ALARM", "reason": "Threshold Crossed: 3 out of the last 3 datapoints [20000.0 (08/11/22 11:25:00), 20000.0 (08/11/22 11:24:00), 20000.0 (08/11/22 11:23:00)] were greater than the threshold (0.0) (minimum 1 datapoint for OK -> ALARM transition).", "reasonData": " { \"version\":\"1.0\",\"queryDate\":\"2022-11-08T11:26:05.399+0000\",\"startDate\":\"2022-11-08T11:23:00.000+0000\",\"period\":60,\"recentDatapoints\":[20000.0,20000.0,20000.0],\"threshold\":0.0,\"evaluatedDatapoints\":[ { \"timestamp\":\"2022-11-08T11:25:00.000+0000\",\"value\":20000.0}]}", "timestamp": "2022-11-08T11:26:05.401+0000", "evaluationState": "PARTIAL_DATA" }, "previousState": { "value": "INSUFFICIENT_DATA", "reason": "Unchecked: Initial alarm creation", "timestamp": "2022-11-08T11:25:51.227+0000" }, "configuration": { "metrics": [ { "id": "m2", "expression": "SELECT SUM(PartialDataTestMetric) FROM partial_data_test", "returnData": true, "period": 60 } ] } } } Wenn die Abfrage für den Alarm eine GROUP-BY-Anweisung enthält, die anfänglich mehr als 500 Zeitreihen zurückgibt, wird der Alarm anhand der ersten 500 Zeitreihen ausgewertet, die die Abfrage findet. Wenn Sie jedoch eine ORDER-BY-Klausel verwenden, werden alle von der Abfrage zu verarbeitenden Zeitreihen sortiert, und die 500, die nach der ORDER-BY-Klausel den höchsten oder niedrigsten Wert haben, werden verwendet, um den Alarm zu bewerten. Hochauflösende Alarme Wenn Sie einen Alarm für eine hochauflösende Metrik festlegen, können Sie einen hochauflösenden Alarm für einen Zeitraum von 10 Sekunden, 20 Sekunden, 30 Sekunden oder einen regelmäßigen Alarm für einen Zeitraum festlegen, der ein Mehrfaches von 60 Sekunden beträgt. Für hochauflösende Alarme ist eine höhere Gebühr zu zahlen. Weitere Informationen zu hochauflösenden Metriken finden Sie unter Veröffentlichen von benutzerdefinierten Metriken . Alarme bei mathematischen Ausdrücken Sie können einen Alarm für das Ergebnis eines mathematischen Ausdrucks setzen, der auf einer oder mehreren CloudWatch-Metriken basiert. Ein mathematischer Ausdruck, der für einen Alarm verwendet wird, kann bis zu 10 Metriken umfassen. Jede Metrik muss den gleichen Zeitraum verwenden. Bei einem Alarm, der auf einem mathematischen Ausdruck basiert, können Sie angeben, wie fehlende Datenpunkte behandelt werden CloudWatch sollen. In diesem Fall wird der Datenpunkt als fehlend betrachtet, wenn der mathematische Ausdruck keinen Wert für diesen Datenpunkt liefert. Alarme, die auf mathematischen Ausdrücken basieren, können keine EC2 Amazon-Aktionen ausführen. Weitere Informationen über metrische mathematische Ausdrücke und Syntax finden Sie unter Verwendung mathematischer Ausdrücke mit CloudWatch Metriken . Auf Perzentilen basierende CloudWatch Alarme und Stichproben mit niedrigen Datenmengen Wenn Sie ein Perzentil als Statistik für einen Alarm festlegen, können Sie angeben, was zu tun ist, wenn nicht genügend Daten für eine gute statistische Bewertung vorliegen. Sie können festlegen, dass der Alarm trotzdem statistisch bewertet wird und der Alarmstatus möglicherweise geändert wird. Alternativ können Sie festlegen, dass der Alarm die Metrik bei einer kleinen Stichprobe ignoriert und mit der Bewertung wartet, bis ausreichend Daten vorliegen, um statistische Signifikanz zu erzielen. Für Perzentile zwischen0,5 (inklusive) und 1,00 (exklusive) wird diese Einstellung verwendet, wenn weniger als 10/(1-Perzentil) Datenpunkte im Bewertungszeitraum vorhanden sind. Diese Einstellung würde beispielsweise verwendet werden, wenn weniger als 1 000 Beispiele für einen Alarm auf einem p99 Perzentil vorhanden sind. Für Perzentile zwischen 0 und 0,5 (exklusive) wird die Einstellung verwendet, wenn weniger als 10/Perzentil Datenpunkte vorhanden sind. Gemeinsame Merkmale von Alarmen CloudWatch Die folgenden Funktionen gelten für alle CloudWatch Alarme: Die Anzahl der Alarme, die Sie erstellen können, ist unbegrenzt. Um einen Alarm zu erstellen oder zu aktualisieren, verwenden Sie die CloudWatch Konsole, die PutMetricAlarm API-Aktion oder den put-metric-alarm Befehl in AWS CLI. Alarmnamen dürfen nur UTF-8-Zeichen und keine ASCII-Kontrolleingabezeichen enthalten Sie können einige oder alle aktuell konfigurierten Alarme und alle Alarme in einem bestimmten Status auflisten, indem Sie die CloudWatch Konsole, die DescribeAlarms API-Aktion oder den Befehl describe-alarms in der verwenden. AWS CLI Sie können Alarmaktionen deaktivieren und aktivieren, indem Sie die EnableAlarmActions API-Aktionen DisableAlarmActions und oder die enable-alarm-actions Befehle disable-alarm-actions und in der verwenden. AWS CLI Sie können einen Alarm testen, indem Sie ihn mit der SetAlarmState API-Aktion oder dem set-alarm-state Befehl im auf einen beliebigen Status setzen AWS CLI. Diese temporäre Statusänderung dauert nur bis zum nächsten Alarmvergleich. Sie können einen Alarm für eine benutzerdefinierte Metrik erstellen, bevor Sie diese benutzerdefinierte Metrik selbst erstellen. Damit der Alarm gültig ist, müssen Sie alle Dimensionen für die benutzerdefinierte Metrik zusätzlich zum Namen des Namespace und der Metrik sowie der Alarmdefinition einfügen. Dazu können Sie die PutMetricAlarm API-Aktion oder den put-metric-alarm Befehl in der verwenden AWS CLI. Sie können den Verlauf eines Alarms mithilfe der CloudWatch Konsole, der DescribeAlarmHistory API-Aktion oder des describe-alarm-history Befehls in der anzeigen AWS CLI. CloudWatch speichert den Alarmverlauf für 30 Tage. Jeder Statusübergang wird mit einem eindeutigen Zeitstempel versehen. In seltenen Fällen kann es vorkommen, dass der Verlauf mehr als eine Benachrichtigung für eine Statusänderung anzeigt. Mit dem Zeitstempel können Sie eindeutige Änderungen des Status bestätigen. Sie können Alarme über die Option Favoriten und zuletzt verwendete Alarme im Navigationsbereich der CloudWatch Konsole zu Favoriten hinzufügen, indem Sie den Mauszeiger über den Alarm bewegen, den Sie als Favorit markieren möchten, und das Sternsymbol neben dem Alarm auswählen. Es gibt ein Kontingent für den Auswertungszeitraum von Alarmen. Der Auswertungszeitraum wird berechnet, indem der Alarmzeitraum mit der Anzahl der verwendeten Auswertungszeiträume multipliziert wird. Der maximale Auswertungszeitraum beträgt sieben Tage für Alarme mit einem Zeitraum von mindestens einer Stunde (3 600 Sekunden). Der maximale Auswertungszeitraum beträgt einen Tag für Alarme mit einem kürzeren Zeitraum. Der maximale Auswertungszeitraum beträgt einen Tag für Alarme, die die benutzerdefinierte Lambda-Datenquelle verwenden. Anmerkung Einige AWS Ressourcen senden CloudWatch unter bestimmten Bedingungen keine Metrikdaten an. Beispielsweise sendet Amazon EBS möglicherweise keine Metrikdaten für ein verfügbares Volume, das nicht an eine EC2 Amazon-Instance angehängt ist, da für dieses Volume keine Metrikaktivität überwacht werden muss. Wenn Sie einen Alarm für eine solche Metrik festgelegt haben, werden Sie möglicherweise feststellen, dass sich ihr Status auf INSUFFICIENT_DATA ändert. Dies kann darauf hindeuten, dass Ihre Ressource inaktiv ist, und bedeutet nicht unbedingt, dass es ein Problem gibt. Sie können festlegen, wie jeder Alarm fehlende Daten behandelt. Weitere Informationen finden Sie unter Konfiguration der Behandlung fehlender Daten durch CloudWatch Alarme . JavaScript ist in Ihrem Browser nicht verfügbar oder deaktiviert. Zur Nutzung der AWS-Dokumentation muss JavaScript aktiviert sein. Weitere Informationen finden auf den Hilfe-Seiten Ihres Browsers. Dokumentkonventionen Veröffentlichen von benutzerdefinierten Metriken Alarmempfehlungen für Dienste AWS Hat Ihnen diese Seite geholfen? – Ja Vielen Dank, dass Sie uns mitgeteilt haben, dass wir gute Arbeit geleistet haben! Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, was wir richtig gemacht haben, damit wir noch besser werden? Hat Ihnen diese Seite geholfen? – Nein Vielen Dank, dass Sie uns mitgeteilt haben, dass diese Seite überarbeitet werden muss. Es tut uns Leid, dass wir Ihnen nicht weiterhelfen konnten. Würden Sie sich einen Moment Zeit nehmen, um uns mitzuteilen, wie wir die Dokumentation verbessern können? | 2026-01-13T09:29:27 |
https://www.infoworld.com/article/2254618/public-cloud-consolidation-requires-an-exit-plan-even-from-the-big-guys.html#icon-magnifying-glass | Why you need a cloud computing exit plan | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Blogs Cloud Insider by David Linthicum You need a cloud exit plan, even for AWS, Google, Microsoft, or IBM analysis Aug 1, 2017 2 mins Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well Credit: Pixabay The cloud computing infrastructure market—IaaS, PaaS, and private hosting—continues to consolidate around the four major providers, as they maintain or even grow market share at the expense of smaller providers. AWS has continued to grow its revenues more rapidly than the overall market. In other words, AWS is the one to beat, and it will likely remain so for sometime. According to Synergy Research Group’s Q2 2017 data, AWS now has 34 percent of the cloud infrastructure market share, followed by Microsoft at 11 percent, IBM at 8 percent, and Google at 5 percent. This latest data underscores a long-term trend of consolidation, and that’s something enterprises need a strategy for. Synergy Research Group If you have picked a weak cloud provider, meaning one that has not established a sustainable market share, you could find your cloud services turned off in a few years. We already saw this happen a few years ago as several smaller IaaS providers left the market a few years ago. And it will happen again. As a result, you could find that that the public cloud services you’ve depended on for years might be shut down without much notice. AWS, Google, IBM, and Microsoft are all well funded companies, so they are not likely to drop public cloud services right away if the going gets rough. But there are no guarantees. Google, for example, could one day decide that its relatively small market share isn’t worth continued investment. So, how do you protect yourself? Watching the market is one way to do it, but it’s impossible to predict the technology market with any degree of certainty. A better way is to have an exit plan, including which provider to go to, how to migrate your data and applications, what the costs will be, and what the impact will be on your business. Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well. Cloud Computing Related content analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news analysis Snowflake: Latest news and insights By Dan Muse Jan 9, 2026 5 mins Cloud Architecture Cloud Computing Cloud Management analysis What drives your cloud security strategy? By David Linthicum Jan 6, 2026 5 mins Careers Cloud Security IT Skills and Training analysis What’s next for Azure containers? By Simon Bisson Jan 1, 2026 9 mins Kubernetes and Containers Microsoft Azure Serverless Computing Other Sections Resources Videos by David Linthicum Follow David Linthicum on X David S. Linthicum is an internationally recognized industry expert and thought leader. Dave has authored 13 books on computing, the latest of which is An Insider’s Guide to Cloud Computing . Dave’s industry experience includes tenures as CTO and CEO of several successful software companies, and upper-level management positions in Fortune 100 companies. He keynotes leading technology conferences on cloud computing, SOA, enterprise application integration, and enterprise architecture. Dave writes the Cloud Insider blog for InfoWorld. His views are his own. More from this author analysis 2026: The year we stop trusting any single cloud Dec 30, 2025 6 mins analysis When is an AI agent not really an agent? Dec 23, 2025 7 mins analysis Why your next cloud bill could be a trap Dec 19, 2025 7 mins analysis AWS AI Factories: Innovation or complication? 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https://slack.engineering/tags/python/ | python | Engineering at Slack python – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #python November 6, 2025 18 min read @David Reed Build better software to build software better We manage the build pipeline that delivers Quip and Slack Canvas’s backend. A year ago, we were chasing exciting… October 10, 2024 9 min read @Brett Wines We’re All Just Looking for Connection We’ve been working to bring components of Quip’s technology into Slack with the canvas feature,… May 23, 2019 20 min read @Rodney Urquhart Rewriting the Slack Python SDK Have you ever been given a relatively inactive project and asked to fix a bug? What about having to update code… Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://www.infoworld.com/article/2254618/public-cloud-consolidation-requires-an-exit-plan-even-from-the-big-guys.html#icon-circle-bars | Why you need a cloud computing exit plan | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Blogs Cloud Insider by David Linthicum You need a cloud exit plan, even for AWS, Google, Microsoft, or IBM analysis Aug 1, 2017 2 mins Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well Credit: Pixabay The cloud computing infrastructure market—IaaS, PaaS, and private hosting—continues to consolidate around the four major providers, as they maintain or even grow market share at the expense of smaller providers. AWS has continued to grow its revenues more rapidly than the overall market. In other words, AWS is the one to beat, and it will likely remain so for sometime. According to Synergy Research Group’s Q2 2017 data, AWS now has 34 percent of the cloud infrastructure market share, followed by Microsoft at 11 percent, IBM at 8 percent, and Google at 5 percent. This latest data underscores a long-term trend of consolidation, and that’s something enterprises need a strategy for. Synergy Research Group If you have picked a weak cloud provider, meaning one that has not established a sustainable market share, you could find your cloud services turned off in a few years. We already saw this happen a few years ago as several smaller IaaS providers left the market a few years ago. And it will happen again. As a result, you could find that that the public cloud services you’ve depended on for years might be shut down without much notice. AWS, Google, IBM, and Microsoft are all well funded companies, so they are not likely to drop public cloud services right away if the going gets rough. But there are no guarantees. Google, for example, could one day decide that its relatively small market share isn’t worth continued investment. So, how do you protect yourself? Watching the market is one way to do it, but it’s impossible to predict the technology market with any degree of certainty. A better way is to have an exit plan, including which provider to go to, how to migrate your data and applications, what the costs will be, and what the impact will be on your business. Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well. Cloud Computing Related content analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news analysis Snowflake: Latest news and insights By Dan Muse Jan 9, 2026 5 mins Cloud Architecture Cloud Computing Cloud Management analysis What drives your cloud security strategy? By David Linthicum Jan 6, 2026 5 mins Careers Cloud Security IT Skills and Training analysis What’s next for Azure containers? By Simon Bisson Jan 1, 2026 9 mins Kubernetes and Containers Microsoft Azure Serverless Computing Other Sections Resources Videos by David Linthicum Follow David Linthicum on X David S. Linthicum is an internationally recognized industry expert and thought leader. Dave has authored 13 books on computing, the latest of which is An Insider’s Guide to Cloud Computing . Dave’s industry experience includes tenures as CTO and CEO of several successful software companies, and upper-level management positions in Fortune 100 companies. He keynotes leading technology conferences on cloud computing, SOA, enterprise application integration, and enterprise architecture. Dave writes the Cloud Insider blog for InfoWorld. His views are his own. More from this author analysis 2026: The year we stop trusting any single cloud Dec 30, 2025 6 mins analysis When is an AI agent not really an agent? Dec 23, 2025 7 mins analysis Why your next cloud bill could be a trap Dec 19, 2025 7 mins analysis AWS AI Factories: Innovation or complication? Dec 16, 2025 6 mins analysis AWS finally listened to its customers Dec 12, 2025 5 mins analysis The hidden cost of Amazon Nova 2 Dec 9, 2025 6 mins analysis Local clouds shape Europe’s AI future Dec 5, 2025 5 mins analysis The ripple effects of a VPN ban Dec 2, 2025 5 mins Show me more Popular Articles Videos analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development news AI is causing developers to abandon Stack Overflow By Mikael Markander Jan 12, 2026 2 mins Artificial Intelligence Generative AI Software Development video How to generate C-like programs with Python Dec 16, 2025 5 mins Python video Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python video Python vs. Kotlin Nov 13, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://www.infoworld.com/data-management/ | Data Management | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Data Management Data Management Data Management | News, how-tos, features, reviews, and videos Explore related topics Data Architecture Data Governance Data Integration Data Quality Database Administration Databases SQL Latest from today interview Generative AI and the future of databases Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to overcome these challenges, and how AI-native databases will help bridge the gap. By Martin Heller Jan 6, 2026 14 mins Artificial Intelligence Databases Generative AI opinion How to make AI agents reliable By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training opinion How to build RAG at scale By Ankush Dhar Dec 30, 2025 8 mins Artificial Intelligence Data Architecture Generative AI news High severity flaw in MongoDB could allow memory leakage By Lynn Greiner Dec 26, 2025 2 mins Databases NoSQL Databases Vulnerabilities opinion Designing the agent-ready data stack By Tobie Morgan Hitchcock Dec 18, 2025 12 mins Artificial Intelligence Databases Generative AI opinion Before you build your first enterprise AI app By Matt Asay Dec 15, 2025 8 mins Analytics Data Quality Data Science feature InfoWorld’s 2025 Technology of the Year Award winners By InfoWorld Awards Team Dec 15, 2025 48 mins APIs Application Security DevSecOps opinion Document databases – understanding your options By Radek Szulgo Dec 11, 2025 8 mins Databases Document Databases NoSQL Databases news IBM to buy Confluent to extend its data and automation portfolio By Paul Barker Dec 8, 2025 6 mins Artificial Intelligence Data Integration Hybrid Cloud Articles opinion AI memory is really a database problem If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. By Matt Asay Dec 8, 2025 9 mins Artificial Intelligence Databases Generative AI opinion Why data contracts need Apache Kafka and Apache Flink Data contracts are foundational to properly designed and well behaved data pipelines. Kafka and Flink provide the key capabilities. By Matthew OKeefe Dec 2, 2025 11 mins Analytics Big Data Data Management news Qdrant vector database adds tiered multitenancy Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards. By Paul Krill Dec 1, 2025 3 mins Artificial Intelligence Databases Generative AI feature Getting the enterprise data layer unstuck for AI For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. By Travis Van Nov 26, 2025 9 mins Analytics Big Data Generative AI brandpost Sponsored by Google Unlocking data’s true potential: The open lakehouse as AI’s foundation Artificial intelligence has increased the urgency for unified data. Here’s how to achieve it. By Geeta Banda, Head of Outbound Product Management, Google Cloud May 29, 2025 5 mins Artificial Intelligence Data Management news Snowflake to acquire Select Star to enhance its Horizon Catalog The enhancements in Horizon Catalog would allow enterprises to build context for AI-driven applications and autonomous agents from data stored outside Snowflake. By Anirban Ghoshal Nov 25, 2025 4 mins Analytics Artificial Intelligence Data Warehousing feature Anatomy of an AI agent knowledge base For AI agents, a knowledge base fuels fast and accurate responses and enables complex reasoning. We asked the experts how to build one. By Bill Doerrfeld Nov 24, 2025 10 mins Artificial Intelligence Databases Generative AI analysis Azure HorizonDB: Microsoft goes big with PostgreSQL Microsoft’s latest database is a fast, scalable PostgreSQL for cloud-native and AI developers. By Simon Bisson Nov 20, 2025 8 mins Microsoft Azure PostgreSQL Relational Databases news Microsoft Fabric IQ adds ‘semantic intelligence’ layer to Fabric Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in. By Anirban Ghoshal Nov 19, 2025 6 mins Data Governance IaaS Microsoft Azure news Microsoft touts scalability of its new PostgreSQL-compatible managed database Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing PostgreSQL databases did not. By Anirban Ghoshal Nov 19, 2025 4 mins Microsoft Azure PostgreSQL Relational Databases opinion Building a scalable document management system: Lessons from separating metadata and content Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run. By Prasanna Kumar Ramachandran Nov 19, 2025 10 mins Databases Document Databases NoSQL Databases opinion Why context engineering will define the next era of enterprise AI Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. By Saket Saurabh Nov 18, 2025 7 mins Artificial Intelligence Data Governance Generative AI news Databricks fires back at Snowflake with SQL-based AI document parsing The new capability supports tables, figures, and diagrams with spatial metadata, making documents searchable and actionable in AI workflows. By Anirban Ghoshal Nov 13, 2025 6 mins Artificial Intelligence Data Management SQL Show more Show less View all Video on demand video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Careers Cloud Computing Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages View all topics All topics Close Browse all topics and categories below. Analytics Artificial Intelligence Careers Cloud Computing Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Show me more Latest Articles Videos analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://www.linkedin.com/products/splunk-cloud-platform/ | Splunk Cloud Platform | LinkedIn Skip to main content LinkedIn Splunk 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 Splunk Cloud Platform Application Performance Monitoring (APM) Software by Splunk See who's skilled in this Add as skill Learn more Report this product About Search, analyze, visualize and act on your data with a flexible and cost-effective data platform service. Media Products media viewer No more previous content No more next content Featured customers of Splunk Cloud Platform REI Retail 416,068 followers Similar products Cisco ThousandEyes Cisco ThousandEyes Application Performance Monitoring (APM) Software Datadog Datadog Application Performance Monitoring (APM) Software Elastic Observability Elastic Observability Application Performance Monitoring (APM) Software New Relic New Relic Application Performance Monitoring (APM) Software Sumo Logic Sumo Logic Application Performance Monitoring (APM) Software Citrix Analytics (Performance Observability) Citrix Analytics (Performance Observability) Application Performance Monitoring (APM) Software Sign in to see more Show more Show less Splunk products Splunk Enterprise Splunk Enterprise Big Data Analytics Software Splunk Enterprise Security Splunk Enterprise Security Security Information & Event Management (SIEM) Software Splunk IT Service Intelligence (ITSI) Splunk IT Service Intelligence (ITSI) AIOps Platforms Splunk Mission Control Splunk Mission Control Splunk Security Orchestration, Automation and Response (SOAR) Splunk Security Orchestration, Automation and Response (SOAR) Security Orchestration, Automation, and Response (SOAR) Software Splunk User Behavior Analytics Splunk User Behavior Analytics User & Entity Behavior Analytics (UEBA) 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 | 2026-01-13T09:29:27 |
https://www.infoworld.com/article/2254618/public-cloud-consolidation-requires-an-exit-plan-even-from-the-big-guys.html#icon-circle-xmark | Why you need a cloud computing exit plan | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Blogs Cloud Insider by David Linthicum You need a cloud exit plan, even for AWS, Google, Microsoft, or IBM analysis Aug 1, 2017 2 mins Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well Credit: Pixabay The cloud computing infrastructure market—IaaS, PaaS, and private hosting—continues to consolidate around the four major providers, as they maintain or even grow market share at the expense of smaller providers. AWS has continued to grow its revenues more rapidly than the overall market. In other words, AWS is the one to beat, and it will likely remain so for sometime. According to Synergy Research Group’s Q2 2017 data, AWS now has 34 percent of the cloud infrastructure market share, followed by Microsoft at 11 percent, IBM at 8 percent, and Google at 5 percent. This latest data underscores a long-term trend of consolidation, and that’s something enterprises need a strategy for. Synergy Research Group If you have picked a weak cloud provider, meaning one that has not established a sustainable market share, you could find your cloud services turned off in a few years. We already saw this happen a few years ago as several smaller IaaS providers left the market a few years ago. And it will happen again. As a result, you could find that that the public cloud services you’ve depended on for years might be shut down without much notice. AWS, Google, IBM, and Microsoft are all well funded companies, so they are not likely to drop public cloud services right away if the going gets rough. But there are no guarantees. Google, for example, could one day decide that its relatively small market share isn’t worth continued investment. So, how do you protect yourself? Watching the market is one way to do it, but it’s impossible to predict the technology market with any degree of certainty. A better way is to have an exit plan, including which provider to go to, how to migrate your data and applications, what the costs will be, and what the impact will be on your business. Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well. Cloud Computing Related content analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news analysis Snowflake: Latest news and insights By Dan Muse Jan 9, 2026 5 mins Cloud Architecture Cloud Computing Cloud Management analysis What drives your cloud security strategy? By David Linthicum Jan 6, 2026 5 mins Careers Cloud Security IT Skills and Training analysis What’s next for Azure containers? By Simon Bisson Jan 1, 2026 9 mins Kubernetes and Containers Microsoft Azure Serverless Computing Other Sections Resources Videos by David Linthicum Follow David Linthicum on X David S. Linthicum is an internationally recognized industry expert and thought leader. Dave has authored 13 books on computing, the latest of which is An Insider’s Guide to Cloud Computing . Dave’s industry experience includes tenures as CTO and CEO of several successful software companies, and upper-level management positions in Fortune 100 companies. He keynotes leading technology conferences on cloud computing, SOA, enterprise application integration, and enterprise architecture. Dave writes the Cloud Insider blog for InfoWorld. His views are his own. More from this author analysis 2026: The year we stop trusting any single cloud Dec 30, 2025 6 mins analysis When is an AI agent not really an agent? Dec 23, 2025 7 mins analysis Why your next cloud bill could be a trap Dec 19, 2025 7 mins analysis AWS AI Factories: Innovation or complication? Dec 16, 2025 6 mins analysis AWS finally listened to its customers Dec 12, 2025 5 mins analysis The hidden cost of Amazon Nova 2 Dec 9, 2025 6 mins analysis Local clouds shape Europe’s AI future Dec 5, 2025 5 mins analysis The ripple effects of a VPN ban Dec 2, 2025 5 mins Show me more Popular Articles Videos analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development news AI is causing developers to abandon Stack Overflow By Mikael Markander Jan 12, 2026 2 mins Artificial Intelligence Generative AI Software Development video How to generate C-like programs with Python Dec 16, 2025 5 mins Python video Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python video Python vs. Kotlin Nov 13, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://www.infoworld.com/brandposts/ | BrandPosts | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home BrandPosts BrandPosts Show me more Latest Articles Videos analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development video How to generate C-like programs with Python Dec 16, 2025 5 mins Python video Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python video Python vs. Kotlin Nov 13, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. All Rights Reserved. | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/Home.html | Sun's Hudson deployment : Home Sun's Hudson deployment Sun's Hudson deployment : Home Created by Unknown User (kohsuke) , last modified on Mar 31, 2008 This is the home page for the Sun's Hudson deployment space. Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
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For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer their recommendations. By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI opinion Why ‘boring’ VS Code keeps winning By Matt Asay Jan 12, 2026 7 mins Developer GitHub Visual Studio Code feature How to succeed with AI-powered, low-code and no-code development tools By Bob Violino Jan 12, 2026 9 mins Development Tools Generative AI No Code and Low Code opinion What the loom tells us about AI and coding By Nick Hodges Jan 7, 2026 4 mins Developer Engineer Generative AI news AI won’t replace human devs for at least 5 years By Taryn Plumb Jan 7, 2026 7 mins Artificial Intelligence Developer Roles opinion How to make AI agents reliable By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training analysis Back to the future: The most popular JavaScript stories and themes of 2025 By Matthew Tyson Jan 2, 2026 4 mins JavaScript Node.js TypeScript analysis 4 New Year’s resolutions for devops success By Isaac Sacolick Dec 29, 2025 10 mins Development Tools Devops Technology Industry opinion AI’s trust tax for developers By Matt Asay Dec 29, 2025 6 mins Developer Development Tools IT Skills and Training Articles analysis Reader picks: The most popular Python stories of 2025 Wind down the year with our picks from the most-read Python developer features and tutorials of 2025. 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As cloud breaches increase, organizations should prioritize skills and training over the latest tech to address the actual root problems. By David Linthicum Jan 6, 2026 5 mins Careers Cloud Security IT Skills and Training analysis 5 key agenticops practices to start building now The time is now for IT leaders and teams to start transforming existing operations for the incoming AI agent workforce. By Isaac Sacolick Dec 16, 2025 10 mins Artificial Intelligence Devops Generative AI analysis All I want for Christmas is a server-side JavaScript framework Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, from Express to Next and all the rest. By Matthew Tyson Dec 5, 2025 3 mins Development Tools JavaScript TypeScript news Developers urged to immediately upgrade React, Next.js Critical vulnerability in React library should be treated by IT as they did Log4j – as an emergency, warns one expert. 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https://wiki.jenkins.io/SUN/Configuring-Hudson-Tools.html | Sun's Hudson deployment : Configuring Hudson Tools Sun's Hudson deployment Home Sun's Hudson deployment : Configuring Hudson Tools Created by Unknown User (rama) , last modified on Apr 01, 2008 Steps to add a JDK to the list of JDKs. On Hudson server (kohsuke.sfbay), 1) Run /files/hudson/server/bin/install-jdk <jdkversion> This fetches the JDK for all the supported platforms from / java/re/j2se / <jdkversion> and install JDK to ~/tools by removing all unnecessary pieces like man, samples, and demo. The platform architectures are configured in /files/hudson/tools/architectures. 2) Run install-unlimited-crypto <jdkversion> This installs unlimited cryptography jars to JDKs of the corresponding jdkversion>. This is needed by Metro Security tests. 3) Run /files/hudson/push This pushes all the tools to all the.slaves and keeps them in sync. If new slaves are added, the file /files/hudson/server/slave-list.pl needs to be updated to keep track of the slaves. This file is used by "push" script described above. 4) Go to http://kohsuke.sfbay/hudson/configure and add the new JDK to the list JDKs. Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
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By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news AI is causing developers to abandon Stack Overflow By Mikael Markander Jan 12, 2026 2 mins Artificial Intelligence Generative AI Software Development video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://slack.engineering/2021/ | Engineering at Slack 2021 – Engineering at Slack Skip to main content Articles About --> Search Search Close Search #2021 December 14, 2021 11 min read @Clément Labbe A Simple Kubernetes Admission Webhook While adding a recent feature to our Kubernetes compute platform, we had the need to mutate newly-created pods… December 2, 2021 5 min read @Tejas Mehta Going from Coder to Slack Engineer Over 70% of the files uploaded on Slack are images, and over 75% of those images are screenshots. What this… November 29, 2021 18 min read @Rafael Elvira @Laura Nolan The Case of the Recursive Resolvers On September 30th 2021, Slack had an outage that impacted less than 1% of our online user base, and lasted for… November 10, 2021 3 min read @Zac Sweers Developing in the Open We use plenty of open source tools at Slack and we’ve benefited immensely from the wider Android, Kotlin,… November 4, 2021 7 min read How Two Interns Are Helping Secure Millions of Lines of Code At Slack, proactively securing our systems is a top priority. One way we achieve this is by automating the… October 20, 2021 13 min read @Archie Gunasekara Building the Next Evolution of Cloud Networks at Slack – A Retrospective About a year ago, I wrote a blog post called Building the Next Evolution of Cloud Networks at Slack. In it, we… October 7, 2021 11 min read @Frank Chen Infrastructure Observability for Changing the Spend Curve Slack is an integral part of where work happens for teams across the world, and our work in the Core Development… September 7, 2021 9 min read @Catherine Yu Behind the Scenes of Slack’s Acquisition Announcement On July 21st, 2021, Slack officially became a part of Salesforce at the price tag of $27.7 billion. This was… Posts pagination 1 2 3 Next Articles About --> Careers Slack Developer Blog The Slack Blog Terms of Service Privacy Information Cookie Preferences Your Privacy Choices © 2026 Slack Technologies, LLC, a Salesforce company. All rights reserved. Various trademarks held by their respective owners. scroll to top | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/Artifact-download-hang-in-wssqe25.html | Sun's Hudson deployment : Artifact download hang in wssqe25 Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : Artifact download hang in wssqe25 Created by Unknown User (kohsuke) , last modified on Apr 03, 2008 On wssqe25.sfbay, native m2 job that attempts to download artifacts from a remote repository blocks. Similar set up on my virtualbox (bear-xp) didn't show this problem. This can be now reproduced by launching a separate JNLP slave connected to my debug Hudson installation on my desktop. So it's not related to the headless-ness of the slave. I disabled Windows firewall, relaunched the JNLP slave agent, and retried the build but that didn't make a difference. Restarting the system didn't help either. Once hang happens, jconsole doesn't attach. Hudson fails to obtain the thread dump, either. I started Maven process with a debugger, and now the artifact downloads work (#7) Again with a debugger, and now the artifact downloads work (#10) I switched to JDK6u5. Without a debugger, it still fails (#11) milkha seems to have the same issue http://kohsuke.sfbay/hudson/job/glassfish-v3-windows/340/console 04/03 Visual Studio on wssqe25 is ready Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/Archived-artifact-is-missing.html | Sun's Hudson deployment : Archived artifact is missing Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : Archived artifact is missing Created by Unknown User (kohsuke) , last modified on Jun 17, 2008 The latest incarnation is in http://kohsuke.sfbay/hudson/view/GFv3/job/glassfish-v3/4524/ The error is: Deploying module: glassfish-v3 ? Phobos connector for Glassfish V3 #4524 timestamp=java.util.GregorianCalendar[time=1213668692269,areFieldsSet=true,areAllFieldsSet=true,lenient=true,zone=sun.util.calendar.ZoneInfo[id="US/Pacific",offset=-28800000,dstSavings=3600000,useDaylight=true,transitions=185,lastRule=java.util.SimpleTimeZone[id=US/Pacific,offset=-28800000,dstSavings=3600000,useDaylight=true,startYear=0,startMode=3,startMonth=2,startDay=8,startDayOfWeek=1,startTime=7200000,startTimeMode=0,endMode=3,endMonth=10,endDay=1,endDayOfWeek=1,endTime=7200000,endTimeMode=0]],firstDayOfWeek=1,minimalDaysInFirstWeek=1,ERA=1,YEAR=2008,MONTH=5,WEEK_OF_YEAR=25,WEEK_OF_MONTH=3,DAY_OF_MONTH=16,DAY_OF_YEAR=168,DAY_OF_WEEK=2,DAY_OF_WEEK_IN_MONTH=3,AM_PM=1,HOUR=7,HOUR_OF_DAY=19,MINUTE=11,SECOND=32,MILLISECOND=269,ZONE_OFFSET=-28800000,DST_OFFSET=3600000] FATAL: Archived artifact is missing: /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-16_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/pom.xml java.io.IOException: Archived artifact is missing: /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-16_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/pom.xml at hudson.maven.reporters.MavenArtifact.getFile(MavenArtifact.java:147) at hudson.maven.reporters.MavenArtifactRecord.deploy(MavenArtifactRecord.java:93) at hudson.maven.reporters.MavenAggregatedArtifactRecord.deploy(MavenAggregatedArtifactRecord.java:56) at hudson.maven.RedeployPublisher.perform(RedeployPublisher.java:67) at hudson.model.AbstractBuild$AbstractRunner.performAllBuildStep(AbstractBuild.java:309) at hudson.maven.MavenModuleSetBuild$RunnerImpl.post2(MavenModuleSetBuild.java:434) at hudson.model.AbstractBuild$AbstractRunner.post(AbstractBuild.java:282) at hudson.model.Run.run(Run.java:789) at hudson.maven.MavenModuleSetBuild.run(MavenModuleSetBuild.java:202) at hudson.model.ResourceController.execute(ResourceController.java:70) at hudson.model.Executor.run(Executor.java:82) First, what is the build number of 2008/06/16 19:11:32? hudson@kohsuke2 ~/server/jobs/glassfish-v3/builds $ less 2008-06-16_19-11-20/build.xml <?xml version='1.0' encoding='UTF-8'?> <hudson.maven.MavenModuleSetBuild> <builtOn>sebastian</builtOn> <hudsonVersion>1.226-SNAPSHOT (private-06/17/2008 01:22-kohsuke)</hudsonVersion> <scm class="hudson.scm.SubversionChangeLogParser"/> <culprits/> <number>4524</number> <result>FAILURE</result> The error is that POM is not archived. And indeed it is not. We just have jars: hudson@kohsuke2 ~/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-16_19-11-32/arc hive $ ls -lR .: total 2 drwxr-sr-x 3 hudson hudson 512 Jun 16 19:18 org.glassfish.extras ./org.glassfish.extras: total 2 drwxr-sr-x 3 hudson hudson 512 Jun 16 19:18 gf-phobos-connector ./org.glassfish.extras/gf-phobos-connector: total 2 drwxr-sr-x 2 hudson hudson 512 Jun 16 19:18 10.0-SNAPSHOT ./org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT: total 30 -rw-r--r-- 1 hudson hudson 5296 Jun 16 19:18 gf-phobos-connector-10.0-SNAPSHOT-sources.jar -rw-r--r-- 1 hudson hudson 8223 Jun 16 19:18 gf-phobos-connector-10.0-SNAPSHOT.jar But earlier we seem to be attempting to archive this: [HUDSON] Archiving /files/hudson/workspace/glassfish-v3/v3/extras/phobos/pom.xml to /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-12_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/pom.xml [HUDSON] Archiving /files/hudson/workspace/glassfish-v3/v3/extras/phobos/target/gf-phobos-connector-10.0-SNAPSHOT.jar to /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-16_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/gf-phobos-connector-10.0-SNAPSHOT.jar [HUDSON] Archiving /files/hudson/workspace/glassfish-v3/v3/extras/phobos/target/gf-phobos-connector-10.0-SNAPSHOT-sources.jar to /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-16_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/gf-phobos-connector-10.0-SNAPSHOT-sources.jar .... oh, wait!!! If I format the above 3 lines more nicely, we see that POM went to the wrong time stamp: 2008-06-12_19-11-32, not 2008-06- 16 _19-11-32 [HUDSON] Archiving /files/hudson/workspace/glassfish-v3/v3/extras/phobos/pom.xml to /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-12_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/pom.xml [HUDSON] Archiving /files/hudson/workspace/glassfish-v3/v3/extras/phobos/target/gf-phobos-connector-10.0-SNAPSHOT.jar to /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-16_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/gf-phobos-connector-10.0-SNAPSHOT.jar [HUDSON] Archiving /files/hudson/workspace/glassfish-v3/v3/extras/phobos/target/gf-phobos-connector-10.0-SNAPSHOT-sources.jar to /files/hudson/server/jobs/glassfish-v3/modules/org.glassfish.extras$gf-phobos-connector/builds/2008-06-16_19-11-32/archive/org.glassfish.extras/gf-phobos-connector/10.0-SNAPSHOT/gf-phobos-connector-10.0-SNAPSHOT-sources.jar ... and this directory only contains pom.xml, so no such build exists. Also confirmed below: hudson@kohsuke2 ~/server/jobs/glassfish-v3/builds $ ls | less ... 2008-06-10_23-15-11 2008-06-11_06-15-13 2008-06-11_13-06-39 2008-06-12_13-05-11 2008-06-13_01-23-24 2008-06-13_20-30-24 2008-06-14_01-55-07 ... this points to a calendar corruption. Calendar doesn't say if it's thread safe or not, and various documents suggests it's not. The Calendar.updateTime() method (which is used from the getTimeInMillis()) is certainly thread unsafe, although it's hard to say if that's causing this error or not. Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
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https://wiki.jenkins.io/SUN/18350084.html | Sun's Hudson deployment : JVM crash at memcpy+0x1c Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : JVM crash at memcpy+0x1c Created by Unknown User (kohsuke) , last modified on Apr 03, 2008 On jennings, a glassfish-v3-devbuild failed with JVM crash: # # An unexpected error has been detected by Java Runtime Environment: # # SIGSEGV (0xb) at pc=0xb7df034c, pid=22973, tid=3084225424 # # Java VM: Java HotSpot(TM) Server VM (1.6.0_02-b05 mixed mode) # Problematic frame: # C [libc.so.6+0x6f34c] memcpy+0x1c # # If you would like to submit a bug report, please visit: # http://java.sun.com/webapps/bugreport/crash.jsp # --------------- T H R E A D --------------- Current thread (0x08058800): JavaThread "main" [_thread_in_native, id=22982] siginfo:si_signo=11, si_errno=0, si_code=2, si_addr=0x8fd7a000 Registers: EAX=0x084e19c0, EBX=0xb7ca071c, ECX=0x00002b40, EDX=0x8fd78d8e ESP=0xb7d56a24, EBP=0xb7d56a50, ESI=0x8fd79ffd, EDI=0x083880e1 EIP=0xb7df034c, CR2=0x8fd7a000, EFLAGS=0x00010212 Top of Stack: (sp=0xb7d56a24) 0xb7d56a24: b7c9bd4b 08386ea0 8fd78dbc 0000bf41 0xb7d56a34: 08057b84 00004d00 00000000 0000bf41 0xb7d56a44: b7ca071c 900ba0dc 00000000 b7d56a80 0xb7d56a54: b7c9bfbb 900ba290 900ba0dc 00000000 0xb7d56a64: 08056398 08058800 b7d56aec 5bbd78a2 0xb7d56a74: b7ca071c b7d56ac8 080588ec b7d56ef0 0xb7d56a84: b7c93169 900ba290 b7d56ac8 00000014 0xb7d56a94: 00000014 b7d56ac8 b7d56acc 0644a7cb Instructions: (pc=0xb7df034c) 0xb7df033c: 8b 74 24 08 fc d1 e9 73 01 a4 d1 e9 73 02 66 a5 0xb7df034c: f3 a5 89 c7 89 d6 8b 44 24 04 c3 90 90 90 90 90 Stack: [0xb7d08000,0xb7d59000), sp=0xb7d56a24, free space=314k Native frames: (J=compiled Java code, j=interpreted, Vv=VM code, C=native code) C [libc.so.6+0x6f34c] memcpy+0x1c C [libzip.so+0xbfbb] ZIP_GetEntry+0x10b C [libzip.so+0x3169] Java_java_util_zip_ZipFile_getEntry+0xc9 J java.util.zip.ZipFile.getEntry(JLjava/lang/String;Z)J Java frames: (J=compiled Java code, j=interpreted, Vv=VM code) J java.util.zip.ZipFile.getEntry(JLjava/lang/String;Z)J J java.util.jar.JarFile.getEntry(Ljava/lang/String;)Ljava/util/zip/ZipEntry; J sun.misc.URLClassPath$JarLoader.getResource(Ljava/lang/String;Z)Lsun/misc/Resource; J sun.misc.URLClassPath$1.next()Z j sun.misc.URLClassPath$1.hasMoreElements()Z+1 j java.net.URLClassLoader$3$1.run()Ljava/lang/Object;+7 v ~StubRoutines::call_stub J java.security.AccessController.doPrivileged(Ljava/security/PrivilegedAction;Ljava/security/AccessControlContext;)Ljava/lang/Object; J org.codehaus.classworlds.DefaultClassRealm.findResources(Ljava/lang/String;)Ljava/util/Enumeration; j org.codehaus.classworlds.RealmClassLoader.findResources(Ljava/lang/String;)Ljava/util/Enumeration;+5 j java.lang.ClassLoader.getResources(Ljava/lang/String;)Ljava/util/Enumeration;+37 j aQute.lib.osgi.Analyzer.getBndManifest()V+18 j aQute.lib.osgi.Analyzer.getVersion()Ljava/lang/String;+1 j aQute.lib.osgi.Analyzer.calcManifest()Ljava/util/jar/Manifest;+95 j aQute.lib.osgi.Builder.build()LaQute/lib/osgi/Jar;+46 j org.apache.felix.bundleplugin.BundlePlugin.buildOSGiBundle(Lorg/apache/maven/project/MavenProject;Ljava/util/Map;Ljava/util/Properties;[LaQute/lib/osgi/Jar;)LaQute/lib/osgi/Builder ;+206 j org.apache.felix.bundleplugin.BundlePlugin.execute(Lorg/apache/maven/project/MavenProject;Ljava/util/Map;Ljava/util/Properties;[LaQute/lib/osgi/Jar;)V+24 j org.apache.felix.bundleplugin.BundlePlugin.execute(Lorg/apache/maven/project/MavenProject;Ljava/util/Map;Ljava/util/Properties;)V+9 j org.apache.felix.bundleplugin.BundlePlugin.execute()V+109 j org.apache.maven.plugin.DefaultPluginManager.executeMojo(Lorg/apache/maven/project/MavenProject;Lorg/apache/maven/plugin/MojoExecution;Lorg/apache/maven/execution/MavenSession;)V+4 07 j org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoals(Ljava/util/List;Ljava/util/Stack;Lorg/apache/maven/execution/MavenSession;Lorg/apache/maven/project/MavenProject;)V +184 j org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoalWithLifecycle(Ljava/lang/String;Ljava/util/Stack;Lorg/apache/maven/execution/MavenSession;Ljava/util/Map;Lorg/apache/ maven/project/MavenProject;Lorg/apache/maven/lifecycle/Lifecycle;)V+28 j org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoal(Ljava/lang/String;Lorg/apache/maven/execution/MavenSession;Lorg/apache/maven/project/MavenProject;)V+50 j org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeGoalAndHandleFailures(Ljava/lang/String;Lorg/apache/maven/execution/MavenSession;Lorg/apache/maven/project/MavenProject;L org/apache/maven/monitor/event/EventDispatcher;Ljava/lang/String;Lorg/apache/maven/execution/ReactorManager;JLjava/lang/String;)V+4 j org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeTaskSegments(Ljava/util/List;Lorg/apache/maven/execution/ReactorManager;Lorg/apache/maven/execution/MavenSession;Lorg/apa che/maven/project/MavenProject;Lorg/apache/maven/monitor/event/EventDispatcher;)V+554 j org.apache.maven.lifecycle.DefaultLifecycleExecutor.execute(Lorg/apache/maven/execution/MavenSession;Lorg/apache/maven/execution/ReactorManager;Lorg/apache/maven/monitor/event/Even tDispatcher;)V+90 j org.apache.maven.DefaultMaven.doExecute(Lorg/apache/maven/execution/MavenExecutionRequest;Lorg/apache/maven/monitor/event/EventDispatcher;)Lorg/apache/maven/execution/ReactorManage r;+442 j org.apache.maven.DefaultMaven.execute(Lorg/apache/maven/execution/MavenExecutionRequest;)V+26 j org.apache.maven.cli.MavenCli.main([Ljava/lang/String;Lorg/codehaus/classworlds/ClassWorld;)I+730 v ~StubRoutines::call_stub j sun.reflect.NativeMethodAccessorImpl.invoke0(Ljava/lang/reflect/Method;Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;+0 j sun.reflect.NativeMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;+87 j sun.reflect.DelegatingMethodAccessorImpl.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;+6 j java.lang.reflect.Method.invoke(Ljava/lang/Object;[Ljava/lang/Object;)Ljava/lang/Object;+161 j org.codehaus.classworlds.Launcher.launchEnhanced([Ljava/lang/String;)V+50 j org.codehaus.classworlds.Launcher.launch([Ljava/lang/String;)V+2 j org.codehaus.classworlds.Launcher.mainWithExitCode([Ljava/lang/String;)I+99 j org.codehaus.classworlds.Launcher.main([Ljava/lang/String;)V+1 v ~StubRoutines::call_stub Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/Artifact-Archiving-Hangs.html | Sun's Hudson deployment : Artifact Archiving Hangs Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : Artifact Archiving Hangs Created by Unknown User (kohsuke) , last modified on Jul 09, 2008 Bhakti and I started noticing that sometimes a build just hangs in the middle of archiving artifact. This is the thread dump from the Maven process when it happens. The pool-1-thread-1 thread is the main Maven thread and you can see it's waiting on remote callback invocation. Thread Dump pool-1-thread-1 java.lang.Object.wait(Native Method) java.lang.Object.wait(Object.java:474) hudson.remoting.Request.call(Request.java:88) hudson.remoting.Channel.call(Channel.java:392) hudson.remoting.RemoteInvocationHandler.invoke(RemoteInvocationHandler.java:126) hudson.maven.$Proxy1.end(Unknown Source) hudson.maven.MavenBuildProxy2$Filter.end(MavenBuildProxy2.java:44) hudson.maven.MavenModuleSetBuild$Builder.postModule(MavenModuleSetBuild.java:564) hudson.maven.MavenBuilder$Adapter.fireLeaveModule(MavenBuilder.java:261) hudson.maven.MavenBuilder$Adapter.endModule(MavenBuilder.java:232) org.apache.maven.lifecycle.LifecycleExecutorInterceptor$EventMonitorImpl.endEvent(LifecycleExecutorInterceptor.java:69) org.apache.maven.monitor.event.DefaultEventDispatcher.dispatchEnd(DefaultEventDispatcher.java:54) org.apache.maven.lifecycle.DefaultLifecycleExecutor.executeTaskSegments(DefaultLifecycleExecutor.java:284) org.apache.maven.lifecycle.DefaultLifecycleExecutor.execute(DefaultLifecycleExecutor.java:143) org.apache.maven.lifecycle.LifecycleExecutorInterceptor.execute(LifecycleExecutorInterceptor.java:42) org.apache.maven.DefaultMaven.doExecute(DefaultMaven.java:334) org.apache.maven.DefaultMaven.execute(DefaultMaven.java:125) org.apache.maven.cli.MavenCli.main(MavenCli.java:280) sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) java.lang.reflect.Method.invoke(Method.java:585) org.codehaus.classworlds.Launcher.launchEnhanced(Launcher.java:315) org.codehaus.classworlds.Launcher.launch(Launcher.java:255) hudson.maven.agent.Main.launch(Main.java:133) hudson.maven.MavenBuilder.call(MavenBuilder.java:129) hudson.maven.MavenModuleSetBuild$Builder.call(MavenModuleSetBuild.java:527) hudson.maven.MavenModuleSetBuild$Builder.call(MavenModuleSetBuild.java:473) hudson.remoting.UserRequest.perform(UserRequest.java:69) hudson.remoting.UserRequest.perform(UserRequest.java:23) hudson.remoting.Request$2.run(Request.java:200) java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:417) java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:269) java.util.concurrent.FutureTask.run(FutureTask.java:123) java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:650) java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:675) java.lang.Thread.run(Thread.java:595) In the master, this is handled by the following thread (see the attachment for the complete dump): "pool-3-thread-239" Id=7085 RUNNABLE (in native) at java.lang.UNIXProcess.forkAndExec(Native Method) at java.lang.UNIXProcess.(UNIXProcess.java:53) at java.lang.ProcessImpl.start(ProcessImpl.java:65) at java.lang.ProcessBuilder.start(ProcessBuilder.java:452) at hudson.Proc$LocalProc.(Proc.java:104) at hudson.Proc$LocalProc.(Proc.java:82) at hudson.Proc$LocalProc.(Proc.java:74) at hudson.Util.createSymlink(Util.java:722) at hudson.maven.MavenModuleSetBuild.notifyModuleBuild(MavenModuleSetBuild.java:262) at hudson.maven.MavenBuild$ProxyImpl2.end(MavenBuild.java:348) at sun.reflect.GeneratedMethodAccessor141.invoke(Unknown Source) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at hudson.remoting.RemoteInvocationHandler$RPCRequest.perform(RemoteInvocationHandler.java:240) at hudson.remoting.RemoteInvocationHandler$RPCRequest.call(RemoteInvocationHandler.java:223) at hudson.remoting.RemoteInvocationHandler$RPCRequest.call(RemoteInvocationHandler.java:183) at hudson.remoting.UserRequest.perform(UserRequest.java:69) at hudson.remoting.UserRequest.perform(UserRequest.java:23) at hudson.remoting.Request$2.run(Request.java:206) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:441) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:885) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:907) at java.lang.Thread.run(Thread.java:619) Number of locked synchronizers = 1 - java.util.concurrent.locks.ReentrantLock$NonfairSync@1d02eee So it looks like another symptom of Forked process failing to exec . Attachments: hang-threadump.txt (text/plain) Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/Forked-process-failing-to-exec.html | Sun's Hudson deployment : Forked process failing to exec Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : Forked process failing to exec Created by Unknown User (kohsuke) , last modified on Aug 29, 2008 Also see the public write up about this in here On rator.sfbay, several processes are forked but failing to exec. hudson@rator ~ $ ps -ef | grep java noaccess 832 1 0 Jun 03 ? 285:37 /usr/java/bin/java -server -Xmx128m -XX:+BackgroundCompilation -XX:PermSize=32m mode 24104 1 0 Jul 01 pts/2 0:00 /usr/dist/share/java,v1.5.0_14/5.x-i86pc/bin/java -Djdk.home=/usr/dist/share/ja hudson 20906 536 0 Jul 02 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 3907 536 0 Jul 02 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 536 7 0 Jul 01 ? 393:55 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 7398 536 0 Jul 02 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hg 21255 21086 0 Jun 18 ? 6:48 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=28801 -ja hudson 671 536 0 Jul 01 ? 0:57 /files/hudson/tools/java1.6/bin/java -Xdebug -Xrunjdwp:transport=dt_socket,serv hudson 15109 9416 0 16:39:50 pts/9 0:00 grep java See the child process of 536. This is the thread that's waiting for the completion: "Executor #2 for maddie" Id=81 RUNNABLE (in native) at java.lang.UNIXProcess.forkAndExec(Native Method) at java.lang.UNIXProcess.(UNIXProcess.java:53) at java.lang.ProcessImpl.start(ProcessImpl.java:65) at java.lang.ProcessBuilder.start(ProcessBuilder.java:452) at hudson.Proc$LocalProc.(Proc.java:104) at hudson.Proc$LocalProc.(Proc.java:82) at hudson.Proc$LocalProc.(Proc.java:74) at hudson.Util.createSymlink(Util.java:725) at hudson.model.AbstractBuild$AbstractRunner.createLastSuccessfulLink(AbstractBuild.java:247) at hudson.model.AbstractBuild$AbstractRunner.run(AbstractBuild.java:241) at hudson.model.Run.run(Run.java:778) at hudson.model.Build.run(Build.java:85) at hudson.model.ResourceController.execute(ResourceController.java:70) at hudson.model.Executor.run(Executor.java:85) When I killed those processes somehow the parent process (536) was killed too, and thereby bringing down the entire Hudson. This might be related to the shortage of swap space. 2008/07/08 This just happened again on rator.sfbay. This time I used pstack to get the native stack trace: hudson@rator ~ $ ps -ef | grep java noaccess 832 1 0 Jun 03 ? 300:56 /usr/java/bin/java -server -Xmx128m -XX:+BackgroundCompilation -XX:PermSize=32m hudson 6101 15216 0 Jul 03 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 15216 7 0 Jul 03 ? 557:02 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx mode 24104 1 0 Jul 01 ? 0:00 /usr/dist/share/java,v1.5.0_14/5.x-i86pc/bin/java -Djdk.home=/usr/dist/share/ja hudson 10467 15216 0 Jul 07 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 2565 15216 0 02:16:33 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 27123 15216 0 Jul 03 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hg 21255 21086 0 Jun 18 ? 8:57 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=28801 -ja hudson 15707 15216 0 Jul 03 ? 3:04 /files/hudson/tools/java1.6/bin/java -Xdebug -Xrunjdwp:transport=dt_socket,serv hudson 10936 15216 0 Jul 05 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 16947 15216 0 Jul 05 ? 0:00 java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address=5589 -Xmx hudson 11346 10308 0 16:58:05 pts/15 0:00 grep java hudson@rator ~ $ pstack 16947 16947: java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address= feeaf52b lwp_park (0, 0, 0) feea7ffe mutex_lock_internal (bfbad04, 0, 1) + 1bc feea843d mutex_lock_impl (bfbad04, 0) + 12d feea8492 mutex_lock (bfbad04) + 10 91edd1b9 soft_delete_session (bfbad00, 1, 1) + a9 91edce89 soft_delete_all_sessions (1, 91f0d4bc, 91f24378, 91f24000, 8843160c, feea8492) + 49 91ed79e0 finalize_common (1, 0) + 6c 91ed7b67 softtoken_fini (feffa7d8, 91f60958, 91f0d4bc, 88431674, fefd314b, 8de50538) + 37 91f0d4e1 _fini (8de50538, 92ff0de8, feffa7d8, 8de50550, 8de50538, 92ff0de8) + 25 fefd314b call_fini (feffa2dc, 8de50538) + f3 fefdc08a remove_hdl (91f60cb0, 92ff0de8, 0) + 7c2 fefd7154 dlclose_core (91f60cb0, 92ff0de8, feffa2dc) + a0 fefd71a1 dlclose_intn (91f60cb0, 92ff0de8) + 25 fefd720d dlclose_check (91f60cb0, 92ff0de8) + 2d fefd7273 dlclose (91f60cb0) + 3b 91f838f0 pkcs11_slottable_delete (91f966d8, 91f96000, 0, fef496c0, fede0500, 884317d4) + b4 91f7fa3c finalize_common (0, fede0500, 91f96000, 884317e0, 884317e0, 91f7f78f) + dc 91f7fa89 pkcs11_fini (fede0080, 884317fc, fee47282, 8d137200, fef45000, 88431820) + 41 91f7f78f pkcs11_fork_child (8d137200, fef45000, 88431820, 8d137200, 88431820, 88431820) + 27 fee47282 _postfork_child_handler (b, 93eac24, fef45000, 99a72e80, fef49720, fef49700) + 32 feea167d forkx (0) + 11d feea172e fork (c45d800, f42d369c, f42d36a0, c45d800, 999c2878, 99a72cd8) + 1a fe287edf Java_java_lang_UNIXProcess_forkAndExec (c45d8ec, 88431940, 8843193c, 88431938, 1, 88431930) + 367 fb20ebd2 ???????? (0, fb20b399, 99a732e0, 99a732d0, 99a732c0, 0) fb202de9 ???????? (0, 0, c, 99a72f48, 1, 99a72ee0) fbee9bf0 ???????? () hudson@rator ~ $ pstack 27123 27123: java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address= feeaf52b lwp_park (0, 0, 0) feea7ffe mutex_lock_internal (97e6094, 0, 1) + 1bc feea843d mutex_lock_impl (97e6094, 0) + 12d feea8492 mutex_lock (97e6094) + 10 91edd1b9 soft_delete_session (97e6090, 1, 1) + a9 91edce89 soft_delete_all_sessions (1, 91f0d4bc, 91f24378, 91f24000, 8c19afbc, feea8492) + 49 91ed79e0 finalize_common (1, 0) + 6c 91ed7b67 softtoken_fini (feffa7d8, 91f60958, 91f0d4bc, 8c19b024, fefd314b, 8de50538) + 37 91f0d4e1 _fini (8de50538, 92ff0de8, feffa7d8, 8c19b024, fefd314b, 8de50538) + 25 fefd314b call_fini () + f3 hudson@rator ~ $ pstack 2565 10467 6101 2565: java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address= feeaf52b lwp_park (0, 0, 0) feea7ffe mutex_lock_internal (cb6cb9c, 0, 1) + 1bc feea843d mutex_lock_impl (cb6cb9c, 0) + 12d feea8492 mutex_lock (cb6cb9c) + 10 91edd1b9 soft_delete_session (cb6cb98, 1, 1) + a9 91edce89 soft_delete_all_sessions (1, 91f0d4bc, 91f24378, 91f24000, 902334cc, feea8492) + 49 91ed79e0 finalize_common (1, 0) + 6c 91ed7b67 softtoken_fini (feffa7d8, 91f60958, 91f0d4bc, 90233534, fefd314b, 8de50538) + 37 91f0d4e1 _fini (8de50538, 92ff0de8, feffa7d8, 8de50550, 8de50538, 92ff0de8) + 25 fefd314b call_fini (feffa2dc, 8de50538) + f3 fefdc08a remove_hdl (91f60cb0, 92ff0de8, 0) + 7c2 fefd7154 dlclose_core (91f60cb0, 92ff0de8, feffa2dc) + a0 fefd71a1 dlclose_intn (91f60cb0, 92ff0de8) + 25 fefd720d dlclose_check (91f60cb0, 92ff0de8) + 2d fefd7273 dlclose (91f60cb0) + 3b 91f838f0 pkcs11_slottable_delete (91f966d8, 91f96000, 0, fef496c0, fede0500, 90233694) + b4 91f7fa3c finalize_common (0, fede0500, 91f96000, 902336a0, 902336a0, 91f7f78f) + dc 91f7fa89 pkcs11_fini (fede0080, 902336bc, fee47282, 9134b200, fef45000, 902336e0) + 41 91f7f78f pkcs11_fork_child (9134b200, fef45000, 902336e0, 9134b200, 902336e0, 902336e0) + 27 fee47282 _postfork_child_handler (0, b1cde73, fef45000, f30bcaa3, fef49720, fef49700) + 32 feea167d forkx (0) + 11d feea172e fork (9133c00, f42d3664, f42d3668, 9133c00, a200aa38, 90233730) + 1a fe287edf Java_java_lang_UNIXProcess_forkAndExec (9133cec, 90233800, 902337fc, 902337f8, 2, 902337f0) + 367 fb20ebd2 ???????? (0, fb20b399, 93027718, 93027708, 930276f8, 1) fb202de9 ???????? (1, 93027660, 1, 93027458, 2, 930273f0) fc91de98 ???????? () 10467: java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address= feeaf52b lwp_park (0, 0, 0) feea7ffe mutex_lock_internal (d7ed02c, 0, 1) + 1bc feea843d mutex_lock_impl (d7ed02c, 0) + 12d feea8492 mutex_lock (d7ed02c) + 10 91edd1b9 soft_delete_session (d7ed028, 1, 1) + a9 91edce89 soft_delete_all_sessions (1, 91f0d4bc, 91f24378, 91f24000, 9168b8fc, feea8492) + 49 91ed79e0 finalize_common (1, 0) + 6c 91ed7b67 softtoken_fini (feffa7d8, 91f60958, 91f0d4bc, 9168b964, fefd314b, 8de50538) + 37 91f0d4e1 _fini (8de50538, 92ff0de8, feffa7d8, 8de50550, 8de50538, 92ff0de8) + 25 fefd314b call_fini (feffa2dc, 8de50538) + f3 fefdc08a remove_hdl (91f60cb0, 92ff0de8, 0) + 7c2 fefd7154 dlclose_core (91f60cb0, 92ff0de8, feffa2dc) + a0 fefd71a1 dlclose_intn (91f60cb0, 92ff0de8) + 25 fefd720d dlclose_check (91f60cb0, 92ff0de8) + 2d fefd7273 dlclose (91f60cb0) + 3b 91f838f0 pkcs11_slottable_delete (91f966d8, 91f96000, 0, fef496c0, fede0500, 9168bac4) + b4 91f7fa3c finalize_common (0, fede0500, 91f96000, 9168bad0, 9168bad0, 91f7f78f) + dc 91f7fa89 pkcs11_fini (fede0080, 9168baec, fee47282, fe45ba00, fef45000, 9168bb10) + 41 91f7f78f pkcs11_fork_child (fe45ba00, fef45000, 9168bb10, fe45ba00, 9168bb10, 9168bb10) + 27 fee47282 _postfork_child_handler (1, d6ba709, fef45000, 2, fef49720, fef49700) + 32 feea167d forkx (0) + 11d feea172e fork (8da3c00, f42d3664, f42d3668, 8da3c00, a200c160, 9168bb60) + 1a fe287edf Java_java_lang_UNIXProcess_forkAndExec (8da3cec, 9168bc2c, 9168bc28, 9168bc24, 2, 0) + 367 fb20ebd2 ???????? (0, fb20b399, 9658b978, 9658b968, 9658b958, 0) fb202de9 ???????? (0, 0, 0, 0, 2, 9658b7c0) fb202f0d ???????? (9658b690, 2, 0, 9658b898, c9, 9658b7c0) fb202da7 ???????? (9658aba8, 0, 0, f48c9b20, 9658b4b0, 9658b468) fb202da7 ???????? (0, 0, 9658b410, 9dab8bb0, 9168bd50, f30f4210) fb202da7 ???????? (9658b410, 9dab8bb0, 8da3cec, 0, 9658b410, 9658b428) fd058d70 ???????? (0, 0, 8da38d8, 0, 8c3e048, 0) 00000000 ???????? (fe888b40, fe768ef0, fe7637d4, fe888b34, fe888a8c, fe888b1c) 00000000 ???????? (fffffe18, 3badd9be, f468fe16, e78b7254, fe1dbbcc, 0) 00000000 ???????? () 6101: java -Xdebug -Xrunjdwp:transport=dt_socket,suspend=n,server=y,address= feeaf52b lwp_park (0, 0, 0) feea7ffe mutex_lock_internal (8f809a4, 0, 1) + 1bc feea843d mutex_lock_impl (8f809a4, 0) + 12d feea8492 mutex_lock (8f809a4) + 10 91edd1b9 soft_delete_session (8f809a0, 1, 1) + a9 91edce89 soft_delete_all_sessions (1, 91f0d4bc, 91f24378, 91f24000, 8ce1930c, feea8492) + 49 91ed79e0 finalize_common (1, 0) + 6c 91ed7b67 softtoken_fini (feffa7d8, 91f60958, 91f0d4bc, 8ce19374, fefd314b, 8de50538) + 37 91f0d4e1 _fini (8de50538, 92ff0de8, feffa7d8, 8de50550, 8de50538, 92ff0de8) + 25 fefd314b call_fini (feffa2dc, 8de50538) + f3 fefdc08a remove_hdl (91f60cb0, 92ff0de8, 0) + 7c2 fefd7154 dlclose_core (91f60cb0, 92ff0de8, feffa2dc) + a0 fefd71a1 dlclose_intn (91f60cb0, 92ff0de8) + 25 fefd720d dlclose_check (91f60cb0, 92ff0de8) + 2d fefd7273 dlclose (91f60cb0) + 3b 91f838f0 pkcs11_slottable_delete (91f966d8, 91f96000, 0, fef496c0, fede0500, 8ce194d4) + b4 91f7fa3c finalize_common (0, fede0500, 91f96000, 8ce194e0, 8ce194e0, 91f7f78f) + dc 91f7fa89 pkcs11_fini (fede0080, 8ce194fc, fee47282, 8d111a00, fef45000, 8ce19520) + 41 91f7f78f pkcs11_fork_child (8d111a00, fef45000, 8ce19520, 8d111a00, 8ce19520, 8ce19520) + 27 fee47282 _postfork_child_handler (0, c40195b, fef45000, 93018488, fef49720, fef49700) + 32 feea167d forkx (0) + 11d feea172e fork (a400400, f42d369c, f42d36a0, a400400, 9b880310, 8ce1958c) + 1a fe287edf Java_java_lang_UNIXProcess_forkAndExec (a4004ec, 8ce19640, 8ce1963c, 8ce19638, 2, 8ce19630) + 367 fb20ebd2 ???????? (0, fb20b399, 930191f8, 930191e8, 930191d8, 1) fb202de9 ???????? (1, 93019188, 1, 93018fc8, 2, 93018f58) fbee9bf0 ???????? () The source code for these code is available on OpenSolaris site: http://src.opensolaris.org/source/xref/onnv/onnv-gate/usr/src/lib/pkcs11/pkcs11_softtoken/common/softGeneral.c#finalize_common I found a posting on forum that looks very related . More hits in here Various suggestions Apply patch 118918 ? There's an on-going escalation ? A workaround ? Apply patch 127111 -> this was obsolted by 127127 . turns out this was reported in Hudson list some time ago . Fix Rajiv and I attempted to apply some of the mentioned patches, but they failed to pkgadd, citing version inconsistencies. Perhaps those patches are not for the Solaris running on rator? I then applied the suggested workaround in jre/lib/security/java.security file and restart Hudson on 2008/07/09. Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/Forking-Maven-fails-on-wssqe25.html | Sun's Hudson deployment : Forking Maven fails on wssqe25 Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : Forking Maven fails on wssqe25 Created by Unknown User (kohsuke) , last modified on Jul 23, 2008 A m2 build on wssqe25 hangs at boot. It appears from Process Explorer that the forked Maven process has already exited, leaving the slave blocked on accepting a TCP connection that never arrives. On master: "Executor #1 for jennings" Id=117 WAITING on hudson.remoting.UserRequest@2d810e at java.lang.Object.wait(Native Method) - waiting on hudson.remoting.UserRequest@2d810e at java.lang.Object.wait(Object.java:485) at hudson.remoting.Request.call(Request.java:88) at hudson.remoting.Channel.call(Channel.java:392) at hudson.maven.MavenModuleSetBuild$RunnerImpl.doRun(MavenModuleSetBuild.java:342) at hudson.model.AbstractBuild$AbstractRunner.run(AbstractBuild.java:231) at hudson.model.Run.run(Run.java:786) at hudson.maven.MavenModuleSetBuild.run(MavenModuleSetBuild.java:204) at hudson.model.ResourceController.execute(ResourceController.java:70) at hudson.model.Executor.run(Executor.java:88) On slave: "pool-1-thread-9" Id=230 RUNNABLE (in native) at java.net.PlainSocketImpl.socketAccept(Native Method) at java.net.PlainSocketImpl.accept(PlainSocketImpl.java:384) - locked java.net.SocksSocketImpl@1765966 at java.net.ServerSocket.implAccept(ServerSocket.java:453) at java.net.ServerSocket.accept(ServerSocket.java:421) at hudson.maven.MavenProcessFactory$AcceptorImpl.accept(MavenProcessFactory.java:126) at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:39) at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:25) at java.lang.reflect.Method.invoke(Method.java:597) at hudson.remoting.RemoteInvocationHandler$RPCRequest.perform(RemoteInvocationHandler.java:240) at hudson.remoting.RemoteInvocationHandler$RPCRequest.call(RemoteInvocationHandler.java:223) at hudson.remoting.RemoteInvocationHandler$RPCRequest.call(RemoteInvocationHandler.java:183) at hudson.remoting.UserRequest.perform(UserRequest.java:69) at hudson.remoting.UserRequest.perform(UserRequest.java:23) at hudson.remoting.Request$2.run(Request.java:200) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:441) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:885) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:907) at java.lang.Thread.run(Thread.java:619) After manually connecting to the TCP port to avoid dead lock, the wholw build output was: started Building remotely on wssqe25.sfbay Checking out a fresh workspace because C:\hudson\workspace\v3-docs\v3-docs doesn't exist Checking out https://www.dev.java.net/svn/glassfish-svn/trunk/v3-docs ... At revision 21376 no change for https://www.dev.java.net/svn/glassfish-svn/trunk/v3-docs since the previous build Parsing POMs [INFO ] snapshot org.glassfish:glassfish-parent:10.0-SNAPSHOT: checking for updates from glassfish-repository [INFO ] snapshot org.glassfish:glassfish-parent:10.0-SNAPSHOT: checking for updates from glassfish-repository-wsinterop [v3-docs] $ /files/hudson/tools/java1.6/bin/java -cp c:\hudson\maven-agent.jar;c:\files\hudson\tools\maven-2.0.7\boot\classworlds-1.1.jar hudson.maven.agent.Main /files/hudson/tools/maven-2.0.7 C:\hudson\bin\slave.jar c:\hudson\maven-interceptor.jar 2237 ERROR: Failed to parse POMs java.io.EOFException: unexpected stream termination at hudson.remoting.Channel.<init>(Channel.java:260) at hudson.remoting.Channel.<init>(Channel.java:204) at hudson.maven.MavenProcessFactory$1.<init>(MavenProcessFactory.java:178) at hudson.maven.MavenProcessFactory.newProcess(MavenProcessFactory.java:177) at hudson.maven.ProcessCache.get(ProcessCache.java:170) at hudson.maven.MavenModuleSetBuild$RunnerImpl.doRun(MavenModuleSetBuild.java:328) at hudson.model.AbstractBuild$AbstractRunner.run(AbstractBuild.java:231) at hudson.model.Run.run(Run.java:786) at hudson.maven.MavenModuleSetBuild.run(MavenModuleSetBuild.java:204) at hudson.model.ResourceController.execute(ResourceController.java:70) at hudson.model.Executor.run(Executor.java:88) finished: FAILURE Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/hudson.sfbay-shuts-down-seemingly-automatically.html | Sun's Hudson deployment : hudson.sfbay shuts down seemingly automatically Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : hudson.sfbay shuts down seemingly automatically Created by Unknown User (kohsuke) , last modified on Jul 28, 2008 I just had the 2nd incident where Hudson server was powered off (2008/07/28) When was it taken offline? On Solaris, "last" command tells us when the system went offline. hudson@rator /var/svc/log $ last | head hudson pts/2 bear Mon Jul 28 08:27 still logged in hudson sshd bear Mon Jul 28 08:27 still logged in reboot system boot Mon Jul 28 08:24 reboot system down Sat Jul 26 09:40 hudson sshd jennings Sat Jul 26 01:10 - 01:11 (00:00) Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
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Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Spotlight: Setting the 2026 IT agenda Articles Buyer’s Guide Given the rapid pace of technology change today, IT leaders are setting their short-term agendas with agility, flexibility, and tangible business outcomes in mind. This month’s topic leans on Foundry’s original Tech Priorities research and external research, along with conversations with IT leaders to uncover enterprise technology trends for the year ahead. Automating, streamlining, and modernizing IT operations is a must as IT teams struggle with skill and staff shortages and increasing demands. A wide variety of tech vendors have solutions aimed at bring IT operations into the AI age. View All Popular topics Artificial Intelligence analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI news Snowflake to acquire Observe to boost observability in AIops By Anirban Ghoshal Jan 9, 2026 3 mins Artificial Intelligence Software Development View topic Cloud Computing feature What is cloud computing? From infrastructure to autonomous, agentic-driven ecosystems By Dan Muse and Eric Knorr Dec 31, 2025 19 mins Hybrid Cloud IaaS Serverless Computing analysis 2026: The year we stop trusting any single cloud By David Linthicum Dec 30, 2025 6 mins Business Continuity Cloud Architecture Hybrid Cloud feature Understanding AI-native cloud: from microservices to model-serving By Taryn Plumb Dec 29, 2025 11 mins Cloud Architecture Cloud-Native Generative AI View topic Data Management news High severity flaw in MongoDB could allow memory leakage By Lynn Greiner Dec 26, 2025 2 mins Databases NoSQL Databases Vulnerabilities opinion Designing the agent-ready data stack By Tobie Morgan Hitchcock Dec 18, 2025 12 mins Artificial Intelligence Databases Generative AI opinion Before you build your first enterprise AI app By Matt Asay Dec 15, 2025 8 mins Analytics Data Quality Data Science View topic Software Development news Postman snaps up Fern to reduce developer friction around API documentation and SDKs By Anirban Ghoshal Jan 12, 2026 3 mins APIs Software Development news Microsoft open-sources XAML Studio By Paul Krill Jan 8, 2026 1 min Development Tools Integrated Development Environments Visual Studio news AI-built Rue language pairs Rust memory safety with ease of use By Paul Krill Jan 7, 2026 2 mins Generative AI Programming Languages Rust View topic Spotlight Story feature 10 principles for creating a great developer experience Tech leaders who maximize developer satisfaction and minimize frustration reap the rewards in hiring, retaining, and delivering results from their dev teams. By Isaac Sacolick May 6, 2024 12 mins Engineer Software Development Technology Industry Show me more Latest Articles Videos news Databricks says its Instructed Retriever offers better AI answers than RAG in the enterprise By Anirban Ghoshal Jan 8, 2026 5 mins Artificial Intelligence Generative AI news Microsoft acquires Osmos to ease data engineering bottlenecks in Fabric By Anirban Ghoshal Jan 7, 2026 4 mins Analytics Artificial Intelligence Data Engineering news AI won’t replace human devs for at least 5 years By Taryn Plumb Jan 7, 2026 7 mins Artificial Intelligence Developer Roles video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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But using them to their full advantage requires adopting best practices. By Bob Violino Jan 12, 2026 9 mins Development Tools Generative AI No Code and Low Code opinion Why ‘boring’ VS Code keeps winning By Matt Asay Jan 12, 2026 7 mins Developer GitHub Visual Studio Code feature Python starts 2026 with a bang By Serdar Yegulalp Jan 9, 2026 2 mins Programming Languages Python Software Development news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development news AI is causing developers to abandon Stack Overflow By Mikael Markander Jan 12, 2026 2 mins Artificial Intelligence Generative AI Software Development opinion Stack thinking: Why a single AI platform won’t cut it By Tom Popomaronis Jan 12, 2026 8 mins Artificial Intelligence Development Tools Software Development news Visual Studio Code adds support for agent skills By Paul Krill Jan 9, 2026 3 mins Development Tools Integrated Development Environments Visual Studio Code analysis Generative UI: The AI agent is the front end By Matthew Tyson Jan 7, 2026 8 mins Development Tools Generative AI Libraries and Frameworks feature 6 incredibly hyped software trends that failed to deliver By Bill Doerrfeld Jan 5, 2026 13 mins Big Data Blockchain Technology Industry More top stories opinion What the loom tells us about AI and coding Like the loom, AI may turn the job market upside down. And enable new technologies and jobs that we simply can’t predict. By Nick Hodges Jan 7, 2026 4 mins Developer Engineer Generative AI news analysis Snowflake: Latest news and insights Stay up-to-date on how Snowflake and its underlying architecture has changed how cloud developers, data managers and data scientists approach cloud data management and analytics By Dan Muse Jan 9, 2026 5 mins Cloud Architecture Cloud Computing Cloud Management opinion The hidden devops crisis that AI workloads are about to expose Devops teams that cling to component-level testing and basic monitoring will struggle to keep pace with the data demands of AI. By Joseph Morais Jan 8, 2026 6 mins Artificial Intelligence Devops Generative AI analysis Generative UI: The AI agent is the front end In a new model for user interfaces, agents paint the screen with interactive UI components on demand. Let’s take a look. By Matthew Tyson Jan 7, 2026 8 mins Development Tools Generative AI Libraries and Frameworks analysis What drives your cloud security strategy? As cloud breaches increase, organizations should prioritize skills and training over the latest tech to address the actual root problems. By David Linthicum Jan 6, 2026 5 mins Careers Cloud Security IT Skills and Training interview Generative AI and the future of databases Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to overcome these challenges, and how AI-native databases will help bridge the gap. By Martin Heller Jan 6, 2026 14 mins Artificial Intelligence Databases Generative AI opinion How to make AI agents reliable We need to stop trying to build ‘God-tier’ agents that can do everything and start building ‘intern-tier’ agents that do one thing perfectly. By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training feature InfoWorld’s 2025 Technology of the Year Award winners The InfoWorld Technology of the Year Awards recognize the year’s best and most innovative products in AI, cloud, data analytics, devops, and software development. By InfoWorld Awards Team Dec 15, 2025 48 mins APIs Application Security DevSecOps analysis Back to the future: The most popular JavaScript stories and themes of 2025 The major themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return to simplicity; coalescence on the server side; AI promises (with some delivery); and the steady evolution of the JavaScript specification. By Matthew Tyson Jan 2, 2026 4 mins JavaScript Node.js TypeScript analysis What’s next for Azure containers? More from Mark Russinovich’s Ignite 2025 sessions, detailing software developments that underpin Microsoft’s move to serverless containers. By Simon Bisson Jan 1, 2026 9 mins Kubernetes and Containers Microsoft Azure Serverless Computing opinion How to build RAG at scale Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture. By Ankush Dhar Dec 30, 2025 8 mins Artificial Intelligence Data Architecture Generative AI how-to Intro to Hotwire: HTML over the wire Get started with Hotwire, the HTMX alternative for developing supercharged, responsive web applications. By Matthew Tyson Dec 31, 2025 10 mins HTML JavaScript Web Development Show more Show less View all Dev with Serdar video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source View all topics All topics Close Browse all topics and categories below. Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Spotlight: Setting the 2026 IT agenda Articles Buyer’s Guide Given the rapid pace of technology change today, IT leaders are setting their short-term agendas with agility, flexibility, and tangible business outcomes in mind. This month’s topic leans on Foundry’s original Tech Priorities research and external research, along with conversations with IT leaders to uncover enterprise technology trends for the year ahead. Automating, streamlining, and modernizing IT operations is a must as IT teams struggle with skill and staff shortages and increasing demands. A wide variety of tech vendors have solutions aimed at bring IT operations into the AI age. View All Popular topics Artificial Intelligence analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI news Snowflake to acquire Observe to boost observability in AIops By Anirban Ghoshal Jan 9, 2026 3 mins Artificial Intelligence Software Development View topic Cloud Computing feature What is cloud computing? From infrastructure to autonomous, agentic-driven ecosystems By Dan Muse and Eric Knorr Dec 31, 2025 19 mins Hybrid Cloud IaaS Serverless Computing analysis 2026: The year we stop trusting any single cloud By David Linthicum Dec 30, 2025 6 mins Business Continuity Cloud Architecture Hybrid Cloud feature Understanding AI-native cloud: from microservices to model-serving By Taryn Plumb Dec 29, 2025 11 mins Cloud Architecture Cloud-Native Generative AI View topic Data Management news High severity flaw in MongoDB could allow memory leakage By Lynn Greiner Dec 26, 2025 2 mins Databases NoSQL Databases Vulnerabilities opinion Designing the agent-ready data stack By Tobie Morgan Hitchcock Dec 18, 2025 12 mins Artificial Intelligence Databases Generative AI opinion Before you build your first enterprise AI app By Matt Asay Dec 15, 2025 8 mins Analytics Data Quality Data Science View topic Software Development news Postman snaps up Fern to reduce developer friction around API documentation and SDKs By Anirban Ghoshal Jan 12, 2026 3 mins APIs Software Development news Microsoft open-sources XAML Studio By Paul Krill Jan 8, 2026 1 min Development Tools Integrated Development Environments Visual Studio news AI-built Rue language pairs Rust memory safety with ease of use By Paul Krill Jan 7, 2026 2 mins Generative AI Programming Languages Rust View topic Spotlight Story feature 10 principles for creating a great developer experience Tech leaders who maximize developer satisfaction and minimize frustration reap the rewards in hiring, retaining, and delivering results from their dev teams. By Isaac Sacolick May 6, 2024 12 mins Engineer Software Development Technology Industry Show me more Latest Articles Videos news Databricks says its Instructed Retriever offers better AI answers than RAG in the enterprise By Anirban Ghoshal Jan 8, 2026 5 mins Artificial Intelligence Generative AI news Microsoft acquires Osmos to ease data engineering bottlenecks in Fabric By Anirban Ghoshal Jan 7, 2026 4 mins Analytics Artificial Intelligence Data Engineering news AI won’t replace human devs for at least 5 years By Taryn Plumb Jan 7, 2026 7 mins Artificial Intelligence Developer Roles video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer their recommendations. 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By Martin Heller Jan 6, 2026 14 mins Artificial Intelligence Databases Generative AI feature 6 incredibly hyped software trends that failed to deliver In hindsight, what were we thinking? By Bill Doerrfeld Jan 5, 2026 13 mins Big Data Blockchain Technology Industry opinion How to make AI agents reliable We need to stop trying to build ‘God-tier’ agents that can do everything and start building ‘intern-tier’ agents that do one thing perfectly. By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training analysis Back to the future: The most popular JavaScript stories and themes of 2025 The major themes that defined the year behind us will also shape the one ahead. The most-read articles of 2025 tracked a return to simplicity; coalescence on the server side; AI promises (with some delivery); and the steady evolution of the JavaScript specification. By Matthew Tyson Jan 2, 2026 4 mins JavaScript Node.js TypeScript news Nvidia licenses Groq’s inferencing chip tech and hires its leaders This non-acquisition could help Nvidia diversify its supply chains and address new markets, while limiting antitrust scrutiny. By Peter Sayer Dec 30, 2025 4 mins Artificial Intelligence Generative AI opinion How to build RAG at scale Retrieval-augmented generation breaks at scale because organizations treat it like an LLM feature rather than a platform discipline. Enterprises that succeed with RAG rely on a layered architecture. By Ankush Dhar Dec 30, 2025 8 mins Artificial Intelligence Data Architecture Generative AI feature Understanding AI-native cloud Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, enterprises must adopt a 'design-first' architecture that treats intelligence as a core utility. By Taryn Plumb Dec 29, 2025 11 mins Cloud Architecture Cloud-Native Generative AI analysis 4 New Year’s resolutions for devops success AI-driven development will continue to redefine the software industry in 2026, and successful devops teams will embrace the transformation. By Isaac Sacolick Dec 29, 2025 10 mins Development Tools Devops Technology Industry analysis Reader picks: The most popular Python stories of 2025 Wind down the year with our picks from the most-read Python developer features and tutorials of 2025. By Serdar Yegulalp Dec 26, 2025 3 mins Python Rust Web Development opinion A small language model blueprint for automation in IT and HR For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, while providing substantial cost savings versus LLMs. By Muddu Sudhakar Dec 25, 2025 6 mins Artificial Intelligence Generative AI Software Development news Microsoft is not rewriting Windows in Rust But an internal research project is looking at ways to automate the translation of millions of lines of code per month into other languages. By Peter Sayer Dec 24, 2025 2 mins Artificial Intelligence Development Tools Generative AI reviews AI power tools: 6 ways to supercharge your terminal With something for everyone—whether you love the command-line or hate it—AI-powered shells have arrived. By Matthew Tyson Dec 24, 2025 11 mins Artificial Intelligence Development Tools Generative AI Show more Show less View all Video on demand video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Java JavaScript Microsoft .NET Open Source Programming Languages View all topics All topics Close Browse all topics and categories below. Analytics Artificial Intelligence Careers Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Show me more Latest Articles Videos analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development opinion Stack thinking: Why a single AI platform won’t cut it By Tom Popomaronis Jan 12, 2026 8 mins Artificial Intelligence Development Tools Software Development video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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For software developers, choosing which technologies and skills to master next has never been more difficult. Experts offer their recommendations. By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI opinion Why ‘boring’ VS Code keeps winning By Matt Asay Jan 12, 2026 7 mins Developer GitHub Visual Studio Code feature How to succeed with AI-powered, low-code and no-code development tools By Bob Violino Jan 12, 2026 9 mins Development Tools Generative AI No Code and Low Code opinion What the loom tells us about AI and coding By Nick Hodges Jan 7, 2026 4 mins Developer Engineer Generative AI news AI won’t replace human devs for at least 5 years By Taryn Plumb Jan 7, 2026 7 mins Artificial Intelligence Developer Roles opinion How to make AI agents reliable By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training analysis Back to the future: The most popular JavaScript stories and themes of 2025 By Matthew Tyson Jan 2, 2026 4 mins JavaScript Node.js TypeScript analysis 4 New Year’s resolutions for devops success By Isaac Sacolick Dec 29, 2025 10 mins Development Tools Devops Technology Industry opinion AI’s trust tax for developers By Matt Asay Dec 29, 2025 6 mins Developer Development Tools IT Skills and Training Articles analysis Reader picks: The most popular Python stories of 2025 Wind down the year with our picks from the most-read Python developer features and tutorials of 2025. By Serdar Yegulalp Dec 26, 2025 3 mins Python Rust Web Development opinion Stop letting ‘urgent’ derail delivery. Manage interruptions proactively A simple mechanism to protect your teams’ roadmap, deliverables and productivity when the next fire drill hits. By Priyank Desai and Shubham Amilkanthwar Dec 22, 2025 6 mins Careers IT Jobs IT Leadership analysis Agents, protocols, and vibes: The best AI stories of 2025 Start winding down the year with our picks from the most-read generative AI features and tutorials of 2025. By Josh Fruhlinger Dec 19, 2025 4 mins Development Tools Devops Technology Industry opinion What developers call themselves Are you a programmer, coder, developer, or engineer? The names for software makers tell us what it means to be in the software business. By Nick Hodges Dec 17, 2025 5 mins Developer Programming Languages Roles analysis What drives your cloud security strategy? As cloud breaches increase, organizations should prioritize skills and training over the latest tech to address the actual root problems. By David Linthicum Jan 6, 2026 5 mins Careers Cloud Security IT Skills and Training analysis 5 key agenticops practices to start building now The time is now for IT leaders and teams to start transforming existing operations for the incoming AI agent workforce. By Isaac Sacolick Dec 16, 2025 10 mins Artificial Intelligence Devops Generative AI analysis All I want for Christmas is a server-side JavaScript framework Could 2026 be the year of the beautiful back end? We explore the range of options for server-side JavaScript development, from Express to Next and all the rest. By Matthew Tyson Dec 5, 2025 3 mins Development Tools JavaScript TypeScript news Developers urged to immediately upgrade React, Next.js Critical vulnerability in React library should be treated by IT as they did Log4j – as an emergency, warns one expert. By Howard Solomon Dec 3, 2025 5 mins Developer Development Tools Vulnerabilities opinion Seven coding domains no developer really understands Maybe you do truly understand one or two of these areas of coding mystery. Most of your fellow programmers are faking it. By Nick Hodges Dec 3, 2025 6 mins Developer Engineer Roles feature How to succeed as an independent software developer Striking out on your own can be daunting, but for many the rewards are worth it. Here are five tips for building a successful career as a freelance software developer. By Bob Violino Dec 1, 2025 9 mins Developer Roles Technology Industry analysis Python vs. Kotlin: Which loops do you like better? Which language has the best loops? See for yourself, with our side-by-side (loop-for-loop) Python vs. Kotlin showdown. Find more stories in this week’s report. By Serdar Yegulalp Nov 28, 2025 3 mins Development Tools Kotlin Python news Developers left large cache of credentials exposed on code generation websites The discovery by a security company reveals widespread insecure use of online tools in enterprises. By John E. Dunn Nov 25, 2025 5 mins Developer Development Tools Roles analysis Where AI meets cloud-native computing Developers need to master cloud-native strategies, such as microservices, containers, and orchestration, to unlock AI’s full business potential. By David Linthicum Nov 25, 2025 5 mins Cloud Architecture Cloud-Native Generative AI Show more Show less View all Video on demand video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages View all topics All topics Close Browse all topics and categories below. Analytics Artificial Intelligence Cloud Computing Data Management Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Show me more Latest Articles Videos analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development news AI is causing developers to abandon Stack Overflow By Mikael Markander Jan 12, 2026 2 mins Artificial Intelligence Generative AI Software Development video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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Direct and wholesale Find your forever customers Reach the right customers for less Acquire new customers and keep them coming back for more with integrated marketing tools and insightful analytics . Unlock new growth with B2B Create custom experiences for wholesale buyers with flexible pricing, discounts, and payment terms. Local and global Grow around the world Buy now 🇺🇸 Order for US$40.00 Buy now 🇺🇸 Order for US$125.00 Buy now 🇺🇸 Order for US$125.00 Buy now 🇺🇸 Order for US$125.00 Buy now 🇺🇸 Order for US$125.00 Buy now 🇺🇸 Order for US$125.00 Sell and ship everywhere Shopify takes the complexity out of international selling, from delivering products faster and more affordably to localising your experience with Shopify Markets . Desktop and mobile Take care of business Manage everything in one place From back office to front of store, you’re always in control with the fully centralized Shopify Admin . Run your store from anywhere Do it all right from your pocket with the full-featured Shopify mobile app . Apps for anything else Shopify offers all the essentials out of the box, but if your business calls for something extra you have the Shopify App Store —with 13,000+ commerce apps for whatever specialized features you might need. By developers, for developers APIs, primitives, and tools empower devs and partners to build the apps, themes, and custom storefronts businesses are looking for. Hydrogen: Shopify’s headless commerce framework Create custom storefronts Extend checkout Build apps shopify.dev There’s no better place for you to build The world’s best-converting checkout Higher conversions 15 % High-intent shoppers 150M + Shopify Checkout converts 15% higher on average than other commerce platforms and exposes your brand to 150 million buy-ready shoppers. Based on external study with a Big Three global consulting firm in April, 2023. Rock steady and blazing fast Shopify puts your store within 50 milliseconds of every shopper on the planet, with the capacity to handle even the most epic product drops. Shopify never stops innovating Our fleet of 4000+ world-class developers never stops leveraging the latest tech to make your business stronger, faster, and more successful. AI designed for commerce Shopify Magic taps the power of AI to save you time, whether it’s generating product content or suggesting ways to get the most out of Shopify. Nonstop innovation Every 6 months, Shopify ships 150+ new features and upgrades—all showcased in Shopify Editions . 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https://www.infoworld.com/data-management/ | Data Management | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Data Management Data Management Data Management | News, how-tos, features, reviews, and videos Explore related topics Data Architecture Data Governance Data Integration Data Quality Database Administration Databases SQL Latest from today interview Generative AI and the future of databases Google Cloud’s lead engineer for databases discusses the challenges of integrating databases and LLMs, the tools needed to overcome these challenges, and how AI-native databases will help bridge the gap. By Martin Heller Jan 6, 2026 14 mins Artificial Intelligence Databases Generative AI opinion How to make AI agents reliable By Matt Asay Jan 5, 2026 7 mins Databases Generative AI IT Skills and Training opinion How to build RAG at scale By Ankush Dhar Dec 30, 2025 8 mins Artificial Intelligence Data Architecture Generative AI news High severity flaw in MongoDB could allow memory leakage By Lynn Greiner Dec 26, 2025 2 mins Databases NoSQL Databases Vulnerabilities opinion Designing the agent-ready data stack By Tobie Morgan Hitchcock Dec 18, 2025 12 mins Artificial Intelligence Databases Generative AI opinion Before you build your first enterprise AI app By Matt Asay Dec 15, 2025 8 mins Analytics Data Quality Data Science feature InfoWorld’s 2025 Technology of the Year Award winners By InfoWorld Awards Team Dec 15, 2025 48 mins APIs Application Security DevSecOps opinion Document databases – understanding your options By Radek Szulgo Dec 11, 2025 8 mins Databases Document Databases NoSQL Databases news IBM to buy Confluent to extend its data and automation portfolio By Paul Barker Dec 8, 2025 6 mins Artificial Intelligence Data Integration Hybrid Cloud Articles opinion AI memory is really a database problem If we want to avoid making AI agents a huge new attack surface, we’ve got to treat agent memory the way we treat databases: with firewalls, audits, and access privileges. By Matt Asay Dec 8, 2025 9 mins Artificial Intelligence Databases Generative AI opinion Why data contracts need Apache Kafka and Apache Flink Data contracts are foundational to properly designed and well behaved data pipelines. Kafka and Flink provide the key capabilities. By Matthew OKeefe Dec 2, 2025 11 mins Analytics Big Data Data Management news Qdrant vector database adds tiered multitenancy Tiered multitenancy allows users to combine small and large tenants in a single collection and promote growing tenants to dedicated shards. By Paul Krill Dec 1, 2025 3 mins Artificial Intelligence Databases Generative AI feature Getting the enterprise data layer unstuck for AI For enterprises, proprietary data is a source of competitive advantage. Take these four steps to ready it for AI-powered applications and agents. By Travis Van Nov 26, 2025 9 mins Analytics Big Data Generative AI brandpost Sponsored by Google Unlocking data’s true potential: The open lakehouse as AI’s foundation Artificial intelligence has increased the urgency for unified data. Here’s how to achieve it. By Geeta Banda, Head of Outbound Product Management, Google Cloud May 29, 2025 5 mins Artificial Intelligence Data Management news Snowflake to acquire Select Star to enhance its Horizon Catalog The enhancements in Horizon Catalog would allow enterprises to build context for AI-driven applications and autonomous agents from data stored outside Snowflake. By Anirban Ghoshal Nov 25, 2025 4 mins Analytics Artificial Intelligence Data Warehousing feature Anatomy of an AI agent knowledge base For AI agents, a knowledge base fuels fast and accurate responses and enables complex reasoning. We asked the experts how to build one. By Bill Doerrfeld Nov 24, 2025 10 mins Artificial Intelligence Databases Generative AI analysis Azure HorizonDB: Microsoft goes big with PostgreSQL Microsoft’s latest database is a fast, scalable PostgreSQL for cloud-native and AI developers. By Simon Bisson Nov 20, 2025 8 mins Microsoft Azure PostgreSQL Relational Databases news Microsoft Fabric IQ adds ‘semantic intelligence’ layer to Fabric Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in. By Anirban Ghoshal Nov 19, 2025 6 mins Data Governance IaaS Microsoft Azure news Microsoft touts scalability of its new PostgreSQL-compatible managed database Third time’s the charm? Microsoft hopes the scalability of Azure HorizonDB, will lure new customers where its two existing PostgreSQL databases did not. By Anirban Ghoshal Nov 19, 2025 4 mins Microsoft Azure PostgreSQL Relational Databases opinion Building a scalable document management system: Lessons from separating metadata and content Split your metadata from your files, and suddenly your sluggish document system becomes fast, scalable and surprisingly cheap to run. By Prasanna Kumar Ramachandran Nov 19, 2025 10 mins Databases Document Databases NoSQL Databases opinion Why context engineering will define the next era of enterprise AI Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context engineering provides the foundation. By Saket Saurabh Nov 18, 2025 7 mins Artificial Intelligence Data Governance Generative AI news Databricks fires back at Snowflake with SQL-based AI document parsing The new capability supports tables, figures, and diagrams with spatial metadata, making documents searchable and actionable in AI workflows. By Anirban Ghoshal Nov 13, 2025 6 mins Artificial Intelligence Data Management SQL Show more Show less View all Video on demand video How to generate C-like programs with Python You might be familiar with how Python and C can work together, by way of projects like Cython. The new PythoC project has a unique twist on working with both languages: it lets you write type-decorated Python that can generate entire standalone C programs, not just importable Python libraries written in C. This video shows a few basic PythoC functions, from generating a whole program to using some of PythoC’s typing features to provide better memory management than C alone could. Dec 16, 2025 5 mins Python Zed Editor Review: The Rust-Powered IDE That Might Replace VS Code Dec 3, 2025 5 mins Python Python vs. Kotlin Nov 13, 2025 5 mins Python Hands-on with the new sampling profiler in Python 3.15 Nov 6, 2025 6 mins Python See all videos Explore a topic Analytics Artificial Intelligence Careers Cloud Computing Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages View all topics All topics Close Browse all topics and categories below. Analytics Artificial Intelligence Careers Cloud Computing Databases Development Tools Devops Emerging Technology Generative AI Java JavaScript Microsoft .NET Open Source Programming Languages Python Security Software Development Technology Industry Show me more Latest Articles Videos analysis Which development platforms and tools should you learn now? By Isaac Sacolick Jan 13, 2026 8 mins Development Tools Devops Generative AI analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news Oracle unveils Java development plans for 2026 By Paul Krill Jan 12, 2026 3 mins Java Programming Languages Software Development video How to make local packages universal across Python venvs Nov 4, 2025 4 mins Python video X-ray vision for your async activity in Python 3.14 Oct 21, 2025 4 mins Python video Why it's so hard to redistribute standalone Python apps Oct 17, 2025 5 mins Python About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Network World Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. 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https://www.networkworld.com/ | Network World | From the data center to the edge Topics Latest Newsletters Resources Buyer’s Guides Events About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters Contribute to Network World Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO CSO Computerworld InfoWorld More News Features Blogs/Opinion BrandPosts Events Videos Enterprise Buyer’s Guides Close Artificial Intelligence Generative AI Careers Cloud Computing CPUs and Processors Data Center Edge Computing Enterprise Storage Linux Virtualization Industry 5G Networking Internet of Things Network Management Software Network Security Security Analytics IT Leadership Enterprise Buyer’s Guides Back Close Americas United States Back Close Popular Topics Generative AI Networking Cloud Computing Data Center Linux Virtualization Search Topics Latest Newsletters Resources Buyer’s Guides Events About Policies Our Network More Back Topics Artificial Intelligence Generative AI Careers Cloud Computing CPUs and Processors Data Center Edge Computing Enterprise Storage Linux Virtualization Industry 5G Networking Internet of Things Network Management Software Network Security Security Analytics IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters Contribute to Network World Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO CSO Computerworld InfoWorld Back More News Features Blogs/Opinion BrandPosts Events Videos Enterprise Buyer’s Guides Latest from today News Cisco routers knocked out due to Cloudflare DNS change The Cloudflare hiccup involved a sequencing change that confused some systems, and Cloudflare quickly walked it back, but the incident showcases enterprise network fragility in an uncomfortably concrete way. By Evan Schuman Jan 9, 2026 7 mins DNS Enterprise Routers Internet News Ethernet groups keep 2026 focus on higher bandwidth, AI demands By Sean Michael Kerner Jan 7, 2026 4 mins Artificial Intelligence Networking Feature Arista rides AI wave, but battle for campus networks looms By Neal Weinberg Jan 6, 2026 11 mins Artificial Intelligence Data Center High-Performance Computing News Cisco identifies vulnerability in ISE network access control devices By Howard Solomon Jan 8, 2026 5 mins Access Control Identity and Access Management Network Security Feature Enterprise Spotlight: Setting the 2026 IT agenda By Network World Staff Jan 1, 2026 1 min Artificial Intelligence Enterprise Buyer’s Guides IT Leadership News Holes in Veeam Backup suite allow remote code execution, creation of malicious backup config files By Howard Solomon Jan 7, 2026 4 mins Backup and Recovery Data Center Vulnerabilities News Lenovo unveils purpose-built AI inferencing servers By Andy Patrizio Jan 7, 2026 3 mins Artificial Intelligence Data Center Servers News Samsung warns of memory shortages driving industry-wide price surge in 2026 By Gyana Swain Jan 7, 2026 4 mins Artificial Intelligence Data Center Data Center Design News Lenovo-Nvidia partnership targets faster AI infrastructure rollouts By Prasanth Aby Thomas Jan 7, 2026 4 mins Artificial Intelligence Cloud Computing Data Center More network and infrastructure news news Italy fines Cloudflare for refusing to block pirate sites Cloudflare argues that the requirement is technically unreasonable and would impair DNS performance globally. By Viktor Eriksson Jan 12, 2026 2 mins Internet Laws and Regulations Networking news NRF 2026: HPE expands network, server products for retailers Announcements include new HPE Aruba Networking CX switches, integration with Juniper Mist AIOps to optimize connectivity across distributed store environments, and upgrades to HPE Nonstop Compute to improve system availability. By Michael Cooney Jan 12, 2026 4 mins Artificial Intelligence Networking Remote Access news Network hiring, skills and certification trends What IT leaders need to know about expanding responsibilities, new titles and hot skills for network professionals and I&O teams. By Denise Dubie Jan 12, 2026 64 mins Careers Data Center Networking news Global tech layoffs surpass 244,000 in 2025 Economic uncertainty, elevated interest rates, and AI adoption have driven workforce reductions across tech companies worldwide, according to a RationalFX report. By Denise Dubie Jan 12, 2026 5 mins Artificial Intelligence IT Jobs IT Skills and Training news Cisco: Latest news and insights Here’s what you need to know about the networking giant’s latest product and company news. By Network World staff Jan 12, 2026 30 mins Network Management Software Network Security Networking news analysis Nvidia: Latest news and insights Here’s what you need to know about the AI and processor giant’s latest product and company news. By Dan Muse Jan 8, 2026 29 mins Artificial Intelligence news AWS stealthily raises GPU prices by 15 percent In the past, AWS has almost always lowered prices or changed pricing models instead of raising them directly. By Viktor Eriksson Jan 7, 2026 2 mins CPUs and Processors Cloud Computing news 2026 network outage report and internet health check Cisco's ThousandEyes division tracks global internet and cloud traffic and provides Network World with weekly updates on the performance of ISPs, cloud service providers, and UCaaS providers. By Denise Dubie Jan 6, 2026 3 mins Cloud Computing Network Monitoring Networking news 2025 network outage report and internet health check ThousandEyes tracks internet and cloud traffic and provides Network World with weekly updates on the performance of ISPs, cloud service providers, and UCaaS providers. By Denise Dubie Jan 6, 2026 125 mins Internet Service Providers Markets Telecommunications Industry news The top AMD stories of 2025 AMD announced new products, acquisitions and partnerships in 2025 as it worked to boost AI performance across platforms ranging from desktops and mobile devices to data centers and supercomputers. By Ann Bednarz Jan 6, 2026 10 mins Artificial Intelligence CPUs and Processors Data Center news At CES, Nvidia launches Vera Rubin platform for AI data centers The Nvidia Rubin platform consists of six new chips, including four networking processors. By Andy Patrizio Jan 6, 2026 5 mins Artificial Intelligence CPUs and Processors Data Center news AWS hikes prices for EC2 Capacity Blocks amid soaring GPU demand The move could reshape cost planning for enterprises running large-scale AI workloads. By Nidhi Singal Jan 6, 2026 5 mins Artificial Intelligence Cloud Computing Machine Learning Show more Show less Explore a topic 5G Careers Cloud Computing CPUs and Processors Data Center Edge Computing Enterprise Storage Generative AI Industry Internet of Things Linux Networking Network Management Software Network Security View all topics All topics Close Browse all topics and categories below. 5G Careers Cloud Computing CPUs and Processors Data Center Edge Computing Enterprise Storage Generative AI Industry Internet of Things Linux Networking Network Management Software Network Security Virtualization Spotlight: Setting the 2026 IT agenda Articles Buyer’s Guide Given the rapid pace of technology change today, IT leaders are setting their short-term agendas with agility, flexibility, and tangible business outcomes in mind. This month’s topic leans on Foundry’s original Tech Priorities research and external research, along with conversations with IT leaders to uncover enterprise technology trends for the year ahead. Automating, streamlining, and modernizing IT operations is a must as IT teams struggle with skill and staff shortages and increasing demands. A wide variety of tech vendors have solutions aimed at bring IT operations into the AI age. View All Popular topics Generative AI news Nvidia licenses Groq’s inferencing chip tech and hires its leaders By Peter Sayer Dec 30, 2025 4 mins Artificial Intelligence CPUs and Processors Generative AI feature AI-driven network management gains enterprise trust By Maria Korolov Dec 8, 2025 11 mins Data Center Automation Generative AI Network Management Software news Perplexity’s open-source tool to run trillion-parameter models without costly upgrades By Gyana Swain Nov 6, 2025 5 mins Artificial Intelligence Cloud Computing Generative AI View topic Networking opinion What enterprises think about quantum computing By Tom Nolle Jan 12, 2026 5 mins Data Center High-Performance Computing Networking opinion Scattered network data impedes automation efforts By Shamus McGillicuddy Jan 12, 2026 7 mins Data Center Data Center Automation Network Management Software news Wi-Fi 8 in 2026: Next-gen wireless standard prioritizes reliability over speed gains By Sean Michael Kerner Jan 5, 2026 5 mins Networking Wi-Fi View topic Data Center news AMD launches on-prem AI chip, previews higher-end systems at CES By Prasanth Aby Thomas Jan 6, 2026 4 mins Artificial Intelligence CPUs and Processors Data Center news SOCAMM memory gains ground as AI data centers proliferate By Andy Patrizio Jan 5, 2026 3 mins Data Center Servers news Everything you need to know about FLOPs By Andy Patrizio Jan 5, 2026 6 mins Data Center High-Performance Computing View topic Network Security feature SASE explained: The command center for the autonomous enterprise By Jeff Vance and Dan Muse Dec 30, 2025 16 mins Data Center Network Security SD-WAN news WatchGuard fixes ‘critical’ zero-day allowing firewall takeover By John E. Dunn Dec 19, 2025 4 mins Network Security Vulnerabilities Zero-Day Vulnerabilities news Attackers bring their own passwords to Cisco and Palo Alto VPNs By Shweta Sharma Dec 19, 2025 3 mins Network Security Security View topic CPUs and Processors news China requires chipmakers to use at least 50% domestic equipment By Viktor Eriksson Dec 31, 2025 1 min CPUs and Processors Markets Technology Industry news Top Intel stories of 2025 By Ann Bednarz Dec 29, 2025 8 mins CPUs and Processors Data Center feature Will Google throw gasoline on the AI chip arms race? By Andy Patrizio Dec 16, 2025 4 mins Artificial Intelligence CPUs and Processors Data Center Design View topic Video video Master Linux Math with the bc Command | Easy CLI Calculations Explained! Learn how to use the powerful bc command in Linux to perform fast, accurate calculations right from the command line. In this Linux tip, Sandra Henry-Stocker—author of the Unix as a Second Language blog—walks you through examples including addition, exponents, decimals, and setting scale for precision. Whether you’re scripting or solving quick math problems, bc is a must-know tool for Linux users. Examples covered: Basic math with bc Using exponents (10^2) Decimal calculations Controlling precision with scale Jun 23, 2025 1 mins Operating Systems Master Linux Math in Seconds: How to Use the expr Command Like a Pro Jun 17, 2025 1 mins Operating Systems How to Do Math in the Command Line Using Double Parentheses Jun 6, 2025 1 mins Operating Systems How to Use the tldr Command in Linux | Quick Alternative to Man Pages May 20, 2025 1 mins Operating Systems See all videos Podcasts podcasts Design Your Networks for the Internet of the Future Regardless of unique business goals, every service provider and enterprise relies on new technologies to help them achieve their intended business outcomes, like growing revenue, reducing costs, and mitigating risks for themselves and their customers. Today there are three important technology developments that can be critical catalysts helping these businesses achieve and even surpass their goals: Converged Software-Defined Networking Transport, Advanced Optics, and open, software-defined 5G. This series of 3 podcasts will share business drivers, real-world use cases, and actionable solutions that can change the economics of the Internet for the Future and your “today." 3 episodes Internet Ep. 02 Episode 2: Pluggable Optics and the Internet for the Future Nov 7, 2023 17 mins Cisco Systems Computers and Peripherals Internet Ep. 03 Episode 3: Looking Forward: 5G, Digital Transformation, and the Network of the Future Nov 7, 2023 14 mins 5G Cisco Systems Internet Show me more Popular Articles Podcasts Videos brandpost Sponsored by Cisco AI, edge, and security: Shaping the need for modern infrastructure management By Paul Desmond Jan 11, 2026 4 mins IT Strategy feature The State of Enterprise Linux for networking By Sean Michael Kerner Jan 8, 2026 7 mins Operating Systems news SoftBank expands AI infrastructure ambitions with $4B DigitalBridge acquisition By Varun Aggarwal Dec 29, 2025 3 mins Artificial Intelligence Data Center Technology Industry podcast Has the hype around ‘Internet of Things’ paid off? | Ep. 145 Apr 18, 2024 36 mins IoT Platforms IoT Security podcast Episode 1: Understanding Cisco’s Converged SDN Transport Sep 24, 2021 20 mins Cisco Systems Internet Networking podcast Episode 2: Pluggable Optics and the Internet for the Future Sep 23, 2021 17 mins Cisco Systems Computers and Peripherals Internet video How to Use the column Command in Linux | Format Output into Neat Columns Easily May 8, 2025 1 mins Operating Systems video How to Use the rev Command in Linux (Reverse Text in Terminal!) May 5, 2025 1 mins Operating Systems video How to use the groupdel comand Apr 8, 2025 1 mins Operating Systems About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Reprints Newsletters BrandPosts News Features Blogs/Opinion Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Privacy Settings Our Network CIO Computerworld CSO Online InfoWorld Facebook X YouTube Google News LinkedIn © 2026 FoundryCo, Inc. All Rights Reserved. | 2026-01-13T09:29:27 |
https://www.atlassian.com/ja/blog/ | Atlassian Japan 公式ブログ | アトラシアン株式会社 Skip to content Atlassian Japan 公式ブログ | アトラシアン株式会社 Search for: Search Featured チームの働き方を変革するAI：Team ’25 Europe発表まとめ バルセロナへようこそ！ 満席となったTeam ’25 Europeイベントの現地から、その熱気をお届けします。AIはこれまでにない形でチームワークを変えつつあり、まさに時代の転換点… 2025年10月08日 Mike Cannon-Brookes 共同創業者兼CEO カテゴリ 全ての投稿 全ての投稿 Access AI Atlas Atlassian Analytics Atlassian Data Lake Atlassian Intelligence Atlassian Rovo Bamboo Bitbucket Cloud Compass Confluence Crowd Crucible Customer Service Management DevOps Fisheye Git ITサービスマネジメント Jira Jira Align Jira Core Jira Product Discovery Jira Service Desk Jira Service Management Jira Software Jira Work Management Loom Marketplace Opsgenie Portfolio for Jira Rovo Service Collection Software Collection Sourcetree Strategy Collection System of Work Team TEAM Anywhere Team Tour Tokyo Teamwork Collection Trello アジャイル イベント エンタープライズ エンタープライズサービスマネージメント お客様事例 キャンペーン コミュニティ サポート ニュース ハウツー プラットフォーム リモートワーク ワークマネージメント ワークマネジメント 企業ニュース 継続的デリバリー 製品情報 アトラシアンがAWSマーケットプレイスで利用可能に この投稿は、2025年12月2日に発表された「Atlassian now available on AWS Marketplace」の抄訳です。 アトラシアンのクラウドアプリ（Ji… 2025年12月14日 渡辺 隆 アトラシアン、Forrester Waveのエンタープライズ サービス マネジメント分野のリーダーに選出 アトラシアンは、2025年第4四半期のForrester Wave TM レポートでエンタープライズサービスマネジメント (ESM) のリーダー企業として選出されました。 本レポー… 2025年12月14日 渡辺 隆 第75回 ACE Tokyo Meetup イベントレポート みなさん、こんにちは。アトラシアンでコミュニティマーケティングを担当している新村です。今回は11月12日にお台場のdocomo R&D OPEN LAB ODAIBAさんに… 2025年11月18日 新村 剛史 あらゆる所ででRovoに会いましょう：あらゆるアプリ、チーム、ワークフローをつなぐAI あなたの頼れるAIチームメイトRovoが、より豊富なコンテキスト、幅広いスキル、そして柔軟な拡張性を備えて進化しました この1年で、すでに何百万人ものお客様にRovoを活用いただいています。しかし、私たちは現状に満足せず、Rovoに新たなAIスキルや知能、業務を変革する機能を追加し、仕事をさらに進化… 2025年10月08日 渡辺 隆 アトラシアンのAI搭載Teamwork Collectionで仕事をもっと速く、もっとスマートに 2025年4月に開催したアトラシアンの年次イベントTeam 25において、Teamwork Collectionを発表しましたが、すでに多くのお客様がJira、Confluence… 2025年10月08日 渡辺 隆 Strategy Collectionが進化：プライオリティ・人材・投資をつなぐ新たなアプローチ AIを活用したインサイトと提案を提供するRovo、投資状況を追跡するFunds、円滑な計画立案を実現するStrategic Eventsを新たに搭載 Atlassian Strategy Collectionは、企業の優先事項・人材・投資をダイナミックに結びつけ、経営層の戦略推進を強力に支援する統合ソリューションです。従来のPo… 2025年10月08日 渡辺 隆 AIネイティブなSDLCを支援する、Atlassian Software Collectionを発表 あらゆるチームの生産性、品質、スピードを測定し向上させる 2025年10月7日よりスペイン バルセロナで開催されているアトラシアン年次イベント Team ’25 Europeにおいて、ソフトウェア開発の全工程にAIを組み込んだ… 2025年10月08日 渡辺 隆 Dynatrace、New Relic、BigPandaとのAIOpsパートナーシップを発表 アトラシアンは、Team ’25 Europeで発表した「Service Collection」の一環として、主要なオブザーバビリティ（可観測性）ベンダーであるDyna… 2025年10月08日 渡辺 隆 AI時代、あらゆるチームのためのサービスマネジメントソリューションAtlassian Service Collectionを発表 ビジネスのスピードはかつてないほど加速しています。かつて数か月かかっていた製品リリースが、今では数日で実現する時代です。お客様は即座の対応を求め、従業員も普段使っているアプリのよう… 2025年10月08日 渡辺 隆 製品や価格についてのご質問はこちら お問い合わせフォーム 投稿ナビゲーション 1 2 … 96 次へ アトラシアン株式会社 コーポレートサイト チームの教科書 Atlassian Notice at Collection プライバシーポリシー 利用規約 © Copyright 2026 製品情報を見る > Subscribe to the Developer Newsletter Email * | 2026-01-13T09:29:27 |
https://wiki.jenkins.io/SUN/SVN-check-out-hang.html | Sun's Hudson deployment : SVN check out hang Sun's Hudson deployment Home Investigation Notes Sun's Hudson deployment : SVN check out hang Created by Unknown User (kohsuke) , last modified on Apr 14, 2008 4/14/2008 Dinesh came by and told me that his v3-doc job on jed-v210-1 is hanging at SVN check out. I logged in and run jstack and got the following stack trace. So that hang appears to be in trying to open the socket connection. "pool-1-thread-1796" prio=10 tid=0x00402400 nid=0x11fbe runnable [0xf2efe000..0xf2effb70] java.lang.Thread.State: RUNNABLE at java.net.PlainSocketImpl.socketConnect(Native Method) at java.net.PlainSocketImpl.doConnect(PlainSocketImpl.java:333) - locked <0xf43e4c10> (a java.net.SocksSocketImpl) at java.net.PlainSocketImpl.connectToAddress(PlainSocketImpl.java:195) at java.net.PlainSocketImpl.connect(PlainSocketImpl.java:182) at java.net.SocksSocketImpl.connect(SocksSocketImpl.java:366) at java.net.Socket.connect(Socket.java:518) at com.sun.net.ssl.internal.ssl.SSLSocketImpl.connect(SSLSocketImpl.java:550) at org.tmatesoft.svn.core.internal.util.SVNSocketFactory.createSSLSocket(SVNSocketFactory.java:85) at org.tmatesoft.svn.core.internal.io.dav.http.HTTPConnection.connect(HTTPConnection.java:149) at org.tmatesoft.svn.core.internal.io.dav.http.HTTPConnection.request(HTTPConnection.java:275) at org.tmatesoft.svn.core.internal.io.dav.http.HTTPConnection.request(HTTPConnection.java:238) at org.tmatesoft.svn.core.internal.io.dav.http.HTTPConnection.request(HTTPConnection.java:226) at org.tmatesoft.svn.core.internal.io.dav.DAVConnection.doPropfind(DAVConnection.java:97) at org.tmatesoft.svn.core.internal.io.dav.DAVUtil.getProperties(DAVUtil.java:57) at org.tmatesoft.svn.core.internal.io.dav.DAVUtil.getResourceProperties(DAVUtil.java:62) at org.tmatesoft.svn.core.internal.io.dav.DAVUtil.getStartingProperties(DAVUtil.java:92) at org.tmatesoft.svn.core.internal.io.dav.DAVUtil.findStartingProperties(DAVUtil.java:114) at org.tmatesoft.svn.core.internal.io.dav.DAVUtil.getBaselineProperties(DAVUtil.java:199) at org.tmatesoft.svn.core.internal.io.dav.DAVUtil.getBaselineInfo(DAVUtil.java:162) at org.tmatesoft.svn.core.internal.io.dav.DAVRepository.getLatestRevision(DAVRepository.java:150) at org.tmatesoft.svn.core.wc.SVNBasicClient.getRevisionNumber(SVNBasicClient.java:348) at org.tmatesoft.svn.core.wc.SVNBasicClient.getLocations(SVNBasicClient.java:462) at org.tmatesoft.svn.core.wc.SVNBasicClient.createRepository(SVNBasicClient.java:418) at org.tmatesoft.svn.core.wc.SVNBasicClient.createRepository(SVNBasicClient.java:382) at org.tmatesoft.svn.core.wc.SVNUpdateClient.doCheckout(SVNUpdateClient.java:305) at hudson.scm.SubversionSCM$CheckOutTask.invoke(SubversionSCM.java:408) at hudson.scm.SubversionSCM$CheckOutTask.invoke(SubversionSCM.java:354) at hudson.FilePath$FileCallableWrapper.call(FilePath.java:1095) at hudson.remoting.UserRequest.perform(UserRequest.java:69) at hudson.remoting.UserRequest.perform(UserRequest.java:23) at hudson.remoting.Request$2.run(Request.java:200) at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:441) at java.util.concurrent.FutureTask$Sync.innerRun(FutureTask.java:303) at java.util.concurrent.FutureTask.run(FutureTask.java:138) at java.util.concurrent.ThreadPoolExecutor$Worker.runTask(ThreadPoolExecutor.java:885) at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:907) at java.lang.Thread.run(Thread.java:619) I then attempted telnet www.dev.java.net 80 (subversion was attempting to check out from this machine — see below for the complete execution record of this v3-doc build) started Building remotely on jed-v210-1 Checking out a fresh workspace because /files/hudson/workspace/v3-docs/v3-docs doesn't exist Checking out https://www.dev.java.net/svn/glassfish-svn/trunk/v3-docs A basedocs A basedocs/src A basedocs/src/main A basedocs/src/main/resources A basedocs/src/main/resources/lib A basedocs/src/main/resources/lib/install A basedocs/src/main/resources/lib/install/templates A basedocs/src/main/resources/lib/install/templates/index.html A basedocs/src/main/resources/docs A basedocs/src/main/resources/docs/graphics AU basedocs/src/main/resources/docs/graphics/logo_sun.gif AU basedocs/src/main/resources/docs/features.html A basedocs/src/main/resources/docs/css A basedocs/src/main/resources/docs/css/default.css A basedocs/src/main/resources/docs/copyright.html A basedocs/src/main/resources/docs/about.html A pom.xml At revision 20037 no revision recorded for https://www.dev.java.net/svn/glassfish-svn/trunk/v3-docs in the previous build Parsing POMs [v3-docs] $ /files/hudson/tools/java1.6/bin/java -cp /files/hudson/maven-agent.jar:/files/hudson/tools/maven-2.0.7/boot/classworlds-1.1.jar hudson.maven.agent.Main /files/hudson/tools/maven-2.0.7 /files/hudson/bin/slave.jar /files/hudson/maven-interceptor.jar channel started [INFO] Scanning for projects... WAGON_VERSION: 1.0-beta-2 [INFO] ---------------------------------------------------------------------------- [INFO] Building V3 Docs [INFO] task-segment: [install] [INFO] ---------------------------------------------------------------------------- [INFO] [resources:resources] [INFO] Using default encoding to copy filtered resources. [INFO] [compiler:compile] [INFO] No sources to compile [INFO] [resources:testResources] [INFO] Using default encoding to copy filtered resources. [INFO] [compiler:testCompile] [INFO] No sources to compile [INFO] [surefire:test] [INFO] No tests to run. [HUDSON] Recording test results [INFO] [jar:jar] [INFO] Building jar: /files/hudson/workspace/v3-docs/v3-docs/target/v3-docs-10.0-SNAPSHOT.jar [INFO] [install:install] [INFO] Installing /files/hudson/workspace/v3-docs/v3-docs/target/v3-docs-10.0-SNAPSHOT.jar to /files/hudson/.m2/repository/org/glassfish/docs/v3-docs/10.0-SNAPSHOT/v3-docs-10.0-SNAPSHOT.jar [HUDSON] Archiving /files/hudson/workspace/v3-docs/v3-docs/pom.xml to /files/hudson/server/jobs/v3-docs/modules/org.glassfish.docs$v3-docs/builds/2008-04-14_16-54-15/archive/org.glassfish.docs/v3-docs/10.0-SNAPSHOT/pom.xml [HUDSON] Archiving /files/hudson/workspace/v3-docs/v3-docs/target/v3-docs-10.0-SNAPSHOT.jar to /files/hudson/server/jobs/v3-docs/modules/org.glassfish.docs$v3-docs/builds/2008-04-14_16-54-15/archive/org.glassfish.docs/v3-docs/10.0-SNAPSHOT/v3-docs-10.0-SNAPSHOT.jar [INFO ] Installing /files/hudson/server/jobs/v3-docs/modules/org.glassfish.docs$v3-docs/builds/2008-04-14_16-54-15/archive/org.glassfish.docs/v3-docs/10.0-SNAPSHOT/v3-docs-10.0-SNAPSHOT.jar to /files/hudson/.m2/repository/org/glassfish/docs/v3-docs/10.0-SNAPSHOT/v3-docs-10.0-SNAPSHOT.jar [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESSFUL [INFO] ------------------------------------------------------------------------ [INFO] Total time: 59 seconds [INFO] Finished at: Mon Apr 14 16:56:38 PDT 2008 [INFO] Final Memory: 10M/227M [INFO] ------------------------------------------------------------------------ channel stopped Deploying artifacts to dav:http://rator.sfbay/maven/repositories/glassfish/ Deploying the main artifact v3-docs-10.0-SNAPSHOT.jar [INFO ] Retrieving previous build number from rator.sfbay [INFO ] Retrieving previous metadata from rator.sfbay [INFO ] Uploading repository metadata for: 'snapshot org.glassfish.docs:v3-docs:10.0-SNAPSHOT' [INFO ] Retrieving previous metadata from rator.sfbay [INFO ] Uploading repository metadata for: 'artifact org.glassfish.docs:v3-docs' [INFO ] Retrieving previous metadata from rator.sfbay [INFO ] Uploading project information for v3-docs 10.0-SNAPSHOT finished: SUCCESS Either the act of jstack or this telnet brought the hanging process back into life, and the build eventually completed successfully. Next time this happens, try to see if it's jstack or telnet that fixed this problem. We need more experience to understand what's going on here. Document generated by Confluence on Sep 29, 2021 15:50 Wiki home | 2026-01-13T09:29:27 |
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https://www.infoworld.com/article/3211374/public-cloud-consolidation-requires-an-exit-plan-even-from-the-big-guys.html#icon-circle-chevron-left | Why you need a cloud computing exit plan | InfoWorld Topics Latest Newsletters Resources Buyer’s Guides About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Our Network CIO Computerworld CSO Network World More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Close Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back Close Back Close Popular Topics Artificial Intelligence Cloud Computing Data Management Software Development Search Topics Latest Newsletters Resources Buyer’s Guides About Policies Our Network More Back Topics Analytics Artificial Intelligence Generative AI Careers Cloud Computing Data Management Databases Emerging Technology Technology Industry Security Software Development Microsoft .NET Development Tools Devops Open Source Programming Languages Java JavaScript Python IT Leadership Enterprise Buyer’s Guides Back About About Us Advertise Contact Us Editorial Ethics Policy Foundry Careers Newsletters Contribute to InfoWorld Reprints Back Policies Terms of Service Privacy Policy Cookie Policy Copyright Notice Member Preferences About AdChoices Your California Privacy Rights Back Our Network CIO Computerworld CSO Network World Back More News Features Blogs BrandPosts Events Videos Enterprise Buyer’s Guides Home Blogs Cloud Insider by David Linthicum You need a cloud exit plan, even for AWS, Google, Microsoft, or IBM analysis Aug 1, 2017 2 mins Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well Credit: Pixabay The cloud computing infrastructure market—IaaS, PaaS, and private hosting—continues to consolidate around the four major providers, as they maintain or even grow market share at the expense of smaller providers. AWS has continued to grow its revenues more rapidly than the overall market. In other words, AWS is the one to beat, and it will likely remain so for sometime. According to Synergy Research Group’s Q2 2017 data, AWS now has 34 percent of the cloud infrastructure market share, followed by Microsoft at 11 percent, IBM at 8 percent, and Google at 5 percent. This latest data underscores a long-term trend of consolidation, and that’s something enterprises need a strategy for. Synergy Research Group If you have picked a weak cloud provider, meaning one that has not established a sustainable market share, you could find your cloud services turned off in a few years. We already saw this happen a few years ago as several smaller IaaS providers left the market a few years ago. And it will happen again. As a result, you could find that that the public cloud services you’ve depended on for years might be shut down without much notice. AWS, Google, IBM, and Microsoft are all well funded companies, so they are not likely to drop public cloud services right away if the going gets rough. But there are no guarantees. Google, for example, could one day decide that its relatively small market share isn’t worth continued investment. So, how do you protect yourself? Watching the market is one way to do it, but it’s impossible to predict the technology market with any degree of certainty. A better way is to have an exit plan, including which provider to go to, how to migrate your data and applications, what the costs will be, and what the impact will be on your business. Business continuity planning was long a staple of IT management; it needs to be one for cloud management as well. Cloud Computing Related content analysis Why hybrid cloud is the future of enterprise platforms By David Linthicum Jan 13, 2026 4 mins Artificial Intelligence Cloud Architecture Hybrid Cloud news analysis Snowflake: Latest news and insights By Dan Muse Jan 9, 2026 5 mins Cloud Architecture Cloud Computing Cloud Management analysis What drives your cloud security strategy? By David Linthicum Jan 6, 2026 5 mins Careers Cloud Security IT Skills and Training analysis What’s next for Azure containers? By Simon Bisson Jan 1, 2026 9 mins Kubernetes and Containers Microsoft Azure Serverless Computing Other Sections Resources Videos by David Linthicum Follow David Linthicum on X David S. Linthicum is an internationally recognized industry expert and thought leader. Dave has authored 13 books on computing, the latest of which is An Insider’s Guide to Cloud Computing . Dave’s industry experience includes tenures as CTO and CEO of several successful software companies, and upper-level management positions in Fortune 100 companies. He keynotes leading technology conferences on cloud computing, SOA, enterprise application integration, and enterprise architecture. Dave writes the Cloud Insider blog for InfoWorld. His views are his own. More from this author analysis 2026: The year we stop trusting any single cloud Dec 30, 2025 6 mins analysis When is an AI agent not really an agent? Dec 23, 2025 7 mins analysis Why your next cloud bill could be a trap Dec 19, 2025 7 mins analysis AWS AI Factories: Innovation or complication? 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