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Mas información return to reference relativos a publicidat, protección d'a privacidat, u los dreitos morals — Vusté puede precisar permisos adicionals antes d'usar lo material como ha pensau fer-lo. Mas información Creative Commons Contact Newsletter Privacy Policies Terms Contact Us Creative Commons PO Box 1866, Mountain View, CA 94042 info@creativecommons.org +1-415-429-6753 Instagram --> Bluesky Mastodon LinkedIn Subscribe to our Newsletter Support Our Work Our work relies on you! Help us keep the Internet free and open. Donate Now Except where otherwise noted , content on this site is licensed under a Creative Commons Attribution 4.0 International license . Icons by Font Awesome . | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/james-kuklinski | James Kuklinski ABOUT Team Companies James Kuklinski General Partner, Growth As a General Partner on Spark’s growth team, James supports founders taking on complex, often overlooked challenges — and believes ambition shaped by lived experience outweighs pedigree. His unique path began as an actor, performing as Gavroche in Les Misérables on Broadway, among many other theatre, TV and film roles. A first-generation college graduate, James studied Philosophy, Politics, and Economics at the University of Pennsylvania. Before joining Spark, James worked at Allen & Company, where he advised high-growth private and public tech companies such as Twitter, LinkedIn, Cloudera and Roku on M&A and equity financing. It was there he developed a passion for helping founders navigate the pivotal moments that define a company's future. James invests across sectors and geographies, seeking founders who approach market opportunities with first-principles thinking, combined with an unrelenting desire to win. "Building a company requires tremendous persistence," he says. "I'm consistently inspired by founders who are excited to tackle that challenge head-on, day after day." James lives in New York with his wife, daughter, and dog, Milton. Outside of Spark, he enjoys jazz music and golf. James Kuklinski @JamesKuklinski Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies “I’ll always be grateful for my parents’ hard work and sacrifices, which gave me opportunities they could only dream of. Just as my own ambition is rooted in personal experience, I’m deeply interested in the personal context that drives founders to build consequential companies." | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/hannah-chowdhury | Hannah Chowdhury ABOUT Team Companies Hannah Chowdhury Finance Manager Hannah joined Spark Capital in 2021. In her role as Finance Manager, she is focused on financial operations, reporting and analysis for the funds, and portfolio company monitoring. Previously, Hannah spent three and a half years at Deloitte & Touche, LLP, providing audit and assurance services to public companies. Hannah holds a B.A. in Accounting from the University of Notre Dame. She enjoys traveling, trying new foods, and playing Mah Jongg. Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies | 2026-01-13T09:29:30 |
https://video.fosdem.org/2020/H.2214/?C=S&O=D | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/H.2214/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - 20_min_mysql_plugin.mp4 131.6 MiB 2020-Feb-17 21:57 20_min_mysql_plugin.webm 87.8 MiB 2020-Feb-17 21:57 alter_mariadb.mp4 178.4 MiB 2020-Feb-07 10:48 alter_mariadb.webm 93.7 MiB 2020-Feb-07 10:48 mariadb_order_by_limit.mp4 124.9 MiB 2020-Feb-17 08:37 mariadb_order_by_limit.webm 71.7 MiB 2020-Feb-17 08:37 mariadb_version_tables.mp4 154.9 MiB 2020-Feb-06 15:28 mariadb_version_tables.webm 77.7 MiB 2020-Feb-06 15:28 msyql_ecryption.mp4 147.6 MiB 2020-Feb-14 14:17 msyql_ecryption.webm 66.7 MiB 2020-Feb-14 14:17 myrocks_www.mp4 153.9 MiB 2020-Feb-02 10:00 myrocks_www.webm 84.4 MiB 2020-Feb-02 10:00 mysql8_hash_join.mp4 157.2 MiB 2020-Feb-07 11:46 mysql8_hash_join.webm 119.4 MiB 2020-Feb-07 11:45 mysql8_mariadb104.mp4 184.7 MiB 2020-Feb-07 10:38 mysql8_mariadb104.webm 94.9 MiB 2020-Feb-07 10:38 mysql8_secure_replication.mp4 107.5 MiB 2020-Feb-17 22:23 mysql8_secure_replication.webm 63.7 MiB 2020-Feb-17 22:23 mysql_cpu_flames.mp4 135.0 MiB 2020-Feb-17 23:22 mysql_cpu_flames.webm 94.1 MiB 2020-Feb-17 23:22 mysql_github_schema.mp4 203.6 MiB 2020-Feb-03 07:20 mysql_github_schema.webm 99.2 MiB 2020-Feb-03 07:20 mysql_hash_joins.mp4 189.2 MiB 2020-Feb-06 18:00 mysql_hash_joins.webm 107.6 MiB 2020-Feb-06 18:00 mysql_k8s.mp4 170.7 MiB 2020-Feb-11 16:37 mysql_k8s.webm 86.7 MiB 2020-Feb-11 16:37 mysql_mariadb_welcome.mp4 28.7 MiB 2020-Feb-02 06:21 mysql_mariadb_welcome.webm 14.9 MiB 2020-Feb-02 06:21 mysql_master_master.mp4 120.9 MiB 2020-Feb-02 07:56 mysql_master_master.webm 72.0 MiB 2020-Feb-02 07:55 postgresql_a_deep_dive_into_postgresql_indexing.mp4 386.1 MiB 2020-Feb-06 16:08 postgresql_a_deep_dive_into_postgresql_indexing.webm 211.1 MiB 2020-Feb-06 16:08 postgresql_an_ultimate_guide_to_upgrading_your_postgresql_installation.mp4 351.9 MiB 2020-Feb-06 16:17 postgresql_an_ultimate_guide_to_upgrading_your_postgresql_installation.webm 181.6 MiB 2020-Feb-06 16:17 postgresql_fibonacci_spirals_and_21_ways_to_contribute_to_postgres_beyond_code.mp4 357.0 MiB 2020-Feb-06 09:03 postgresql_fibonacci_spirals_and_21_ways_to_contribute_to_postgres_beyond_code.webm 259.5 MiB 2020-Feb-06 09:03 postgresql_find_your_slow_queries_and_fix_them.mp4 347.7 MiB 2020-Feb-06 01:02 postgresql_find_your_slow_queries_and_fix_them.webm 185.2 MiB 2020-Feb-06 01:02 postgresql_postgresql_on_k8s_at_zalando_two_years_in_production.mp4 376.7 MiB 2020-Feb-17 10:07 postgresql_postgresql_on_k8s_at_zalando_two_years_in_production.webm 217.3 MiB 2020-Feb-17 10:07 postgresql_rtfm.mp4 322.6 MiB 2020-Feb-02 18:34 postgresql_rtfm.webm 163.2 MiB 2020-Feb-02 18:34 postgresql_the_state_of_full_text_search_in_postgresql_12.mp4 352.0 MiB 2020-Feb-03 20:16 postgresql_the_state_of_full_text_search_in_postgresql_12.webm 227.7 MiB 2020-Feb-03 20:16 proxysql2.mp4 128.1 MiB 2020-Feb-17 20:20 proxysql2.webm 75.0 MiB 2020-Feb-17 20:20 selinux_mysql.mp4 125.3 MiB 2020-Feb-17 09:19 selinux_mysql.webm 70.4 MiB 2020-Feb-17 09:19 sync_binlog.mp4 197.2 MiB 2020-Feb-02 21:20 sync_binlog.webm 168.4 MiB 2020-Feb-02 21:20 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
https://video.fosdem.org/2020/H.2214/?C=S&O=A | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/H.2214/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - 20_min_mysql_plugin.mp4 131.6 MiB 2020-Feb-17 21:57 20_min_mysql_plugin.webm 87.8 MiB 2020-Feb-17 21:57 alter_mariadb.mp4 178.4 MiB 2020-Feb-07 10:48 alter_mariadb.webm 93.7 MiB 2020-Feb-07 10:48 mariadb_order_by_limit.mp4 124.9 MiB 2020-Feb-17 08:37 mariadb_order_by_limit.webm 71.7 MiB 2020-Feb-17 08:37 mariadb_version_tables.mp4 154.9 MiB 2020-Feb-06 15:28 mariadb_version_tables.webm 77.7 MiB 2020-Feb-06 15:28 msyql_ecryption.mp4 147.6 MiB 2020-Feb-14 14:17 msyql_ecryption.webm 66.7 MiB 2020-Feb-14 14:17 myrocks_www.mp4 153.9 MiB 2020-Feb-02 10:00 myrocks_www.webm 84.4 MiB 2020-Feb-02 10:00 mysql8_hash_join.mp4 157.2 MiB 2020-Feb-07 11:46 mysql8_hash_join.webm 119.4 MiB 2020-Feb-07 11:45 mysql8_mariadb104.mp4 184.7 MiB 2020-Feb-07 10:38 mysql8_mariadb104.webm 94.9 MiB 2020-Feb-07 10:38 mysql8_secure_replication.mp4 107.5 MiB 2020-Feb-17 22:23 mysql8_secure_replication.webm 63.7 MiB 2020-Feb-17 22:23 mysql_cpu_flames.mp4 135.0 MiB 2020-Feb-17 23:22 mysql_cpu_flames.webm 94.1 MiB 2020-Feb-17 23:22 mysql_github_schema.mp4 203.6 MiB 2020-Feb-03 07:20 mysql_github_schema.webm 99.2 MiB 2020-Feb-03 07:20 mysql_hash_joins.mp4 189.2 MiB 2020-Feb-06 18:00 mysql_hash_joins.webm 107.6 MiB 2020-Feb-06 18:00 mysql_k8s.mp4 170.7 MiB 2020-Feb-11 16:37 mysql_k8s.webm 86.7 MiB 2020-Feb-11 16:37 mysql_mariadb_welcome.mp4 28.7 MiB 2020-Feb-02 06:21 mysql_mariadb_welcome.webm 14.9 MiB 2020-Feb-02 06:21 mysql_master_master.mp4 120.9 MiB 2020-Feb-02 07:56 mysql_master_master.webm 72.0 MiB 2020-Feb-02 07:55 postgresql_a_deep_dive_into_postgresql_indexing.mp4 386.1 MiB 2020-Feb-06 16:08 postgresql_a_deep_dive_into_postgresql_indexing.webm 211.1 MiB 2020-Feb-06 16:08 postgresql_an_ultimate_guide_to_upgrading_your_postgresql_installation.mp4 351.9 MiB 2020-Feb-06 16:17 postgresql_an_ultimate_guide_to_upgrading_your_postgresql_installation.webm 181.6 MiB 2020-Feb-06 16:17 postgresql_fibonacci_spirals_and_21_ways_to_contribute_to_postgres_beyond_code.mp4 357.0 MiB 2020-Feb-06 09:03 postgresql_fibonacci_spirals_and_21_ways_to_contribute_to_postgres_beyond_code.webm 259.5 MiB 2020-Feb-06 09:03 postgresql_find_your_slow_queries_and_fix_them.mp4 347.7 MiB 2020-Feb-06 01:02 postgresql_find_your_slow_queries_and_fix_them.webm 185.2 MiB 2020-Feb-06 01:02 postgresql_postgresql_on_k8s_at_zalando_two_years_in_production.mp4 376.7 MiB 2020-Feb-17 10:07 postgresql_postgresql_on_k8s_at_zalando_two_years_in_production.webm 217.3 MiB 2020-Feb-17 10:07 postgresql_rtfm.mp4 322.6 MiB 2020-Feb-02 18:34 postgresql_rtfm.webm 163.2 MiB 2020-Feb-02 18:34 postgresql_the_state_of_full_text_search_in_postgresql_12.mp4 352.0 MiB 2020-Feb-03 20:16 postgresql_the_state_of_full_text_search_in_postgresql_12.webm 227.7 MiB 2020-Feb-03 20:16 proxysql2.mp4 128.1 MiB 2020-Feb-17 20:20 proxysql2.webm 75.0 MiB 2020-Feb-17 20:20 selinux_mysql.mp4 125.3 MiB 2020-Feb-17 09:19 selinux_mysql.webm 70.4 MiB 2020-Feb-17 09:19 sync_binlog.mp4 197.2 MiB 2020-Feb-02 21:20 sync_binlog.webm 168.4 MiB 2020-Feb-02 21:20 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
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Subscribe now Get quote 200 monitors 500 monitors 1,000+ monitors 30 sec. monitoring interval HTTP, port & ping monitor Keyword monitor 🆕 Location-specific monitoring 🆕 Slow response alerts 🆕 DNS monitoring SSL & Domain exp. monitor All 12 integrations Full-featured status pages 5 notify seats incl. 5 login seats incl. See feature comparison Get your FREE account now, 50 monitors included ! Start monitoring in 30 seconds No credit card required! Available also on: Frequently asked questions . What is UptimeRobot? UptimeRobot is an uptime monitoring service that continuously checks websites, APIs, and other endpoints . It alerts you when anything goes down, degrades, or changes. So you can stay on top of your systems' current states and identify issues before your users do. UptimeRobot also provides tools to transparently communicate the real-time status and reliability of your systems, and proactively manage incidents when they happen. What is an uptime monitor? An uptime monitor is a single tool that repeatedly verifies a target webpage or service is online and working as expected. When an uptime monitor detects a problem, it instantly sends alerts (via email, SMS/IM, call, etc.) so you can respond quickly. It also records incidents with timestamps and details in your dashboard so that you can track reliability over time. Uptime monitors support various monitoring types (HTTP, Ping, Port, Keyword, DNS, Heartbeat), targets (URL/IP/Port), and alerting rules (including escalation). How do I monitor the uptime of a website? Sign up to create a free UptimeRobot account In the dashboard, click Add New Monitor Choose HTTP(S) as the monitor type and enter the website URL Set the monitoring interval and any optional settings you care about (timeouts, redirects, keyword checks) Add your preferred notification channels (email, push, Slack, SMS, etc.) and save the monitor Optionally: create a status page How do I create a status page? Sign up and create a free UptimeRobot account Create your first monitor (so there's something to display) Go to Status Pages and click Create Status Page Select the monitors (or tags) you want to show, then name the page Publish your status page Optionally: customize the design , set a custom domain, password-protect it, opt out of search engine indexing, and use announcements for incident/maintenance updates (users can subscribe with email right on your status page). What can I monitor with UptimeRobot? With UptimeRobot, you can monitor any website, API, server, application, service, network , or endpoint, whether it’s yours, a third-party vendor’s, or a dependency you rely on. Additionally, UptimeRobots supports these monitor types: HTTP/HTTPS Keywords in server responses and on-page Ping Port Cron jobs/heartbeats Website change detection Response time DNS changes SSL certificates and domain expiry The variety of monitor types lets you track availability, response behavior, certificates, scheduled jobs, and infrastructure changes from one place. How often does UptimeRobot check my website? UptimeRobot can check your site and other endpoints as often as every 30 seconds and as infrequently as every 5 minutes, depending on your monitor's settings. The available monitoring intervals in your account also depend on your plan: Free: every 5 minutes Solo/Team: every 60 seconds Enterprise: every 30 seconds Faster intervals improve time-to-detect, but can create more noise if your endpoint is flaky or the network is unstable. Can I monitor from multiple locations/regions? Yes, UptimeRobots supports location-specific monitoring . With multi-location checks, you can spot regional outages, routing problems, or CDN edge issues that won't show up from a single vantage point. It's especially useful for DNS and security scenarios where failures can first appear in one location. How do I get an alert when a website is down (by email, SMS/IM, or phone)? Add one or more notification channels and associate them with your monitors. The available personal channels include Email, SMS, Voice Call, Mobile App Push, and Email-to-SMS; and the integrations include Telegram , Slack , Microsoft Teams , Discord , Google Chat , Mattermost, PagerDuty , Splunk On-Call, Pushbullet , and Pushover . For custom workflows, you can also use Webhooks , Zapier , MCP , or API . How does UptimeRobot reduce false alarms (false positives)? UptimeRobot reduces false alarms by rechecking failures across multiple checker nodes and locations before opening an incident. You can further improve signal-to-noise by white-listing UptimeRobot’s locations and IP addresses , tuning sensitivity (timeouts and delays), and using more specific checks (such as validating a keyword or expected response behavior). For planned work, use maintenance windows to pause monitoring so expected downtime doesn’t trigger alerts or affect uptime calculation and downtime statistics. How many monitors do you need? UptimeRobot offers custom monitoring solutions tailored for agencies, service providers, software companies, and enterprises. Number of monitors Use the slider to estimate the number of monitors. 1k 5k 15k 25k+ Email Company Name Book a demo You will be redirected to a calendar booking page Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . 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Integrations API FAQs Help center Locations & IPs Comparisons Case studies Knowledge hub Roadmap Subnet calculator MX lookup Uptime calculator CrontabRobot Website change detection Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Register for FREE 🍪 This website use cookies. 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https://www.splunk.com/de_de/products/enterprise-security.html | Splunk Enterprise Security | Splunk English Francais 日本語 한국어 中文 繁體中文 false logo Support Kunden-Support Support-Portal Kontakt Splunk Answers Systemstatus Cisco-Support AppDynamics-Support Sicherheitsupdates Sprachen English Francais 日本語 한국어 中文 繁體中文 Anmelden Click User Account Anmelden Registrieren Mein Dashboard Instanzen Mein Training Logout PRODUCT LOGINS Splunk Observability Cloud Splunk Cloud Services Splunk AppDynamics Splunk On-Call Splunk Synthetic Monitoring Splunk Web Optimization logo Plattform Plattform Die erweiterbare Datenplattform unterstützt einheitliche Sicherheit, Observability im gesamten Stack und unbegrenzte benutzerspezifische Anwendungen. Preise Kostenlose Testversionen und Downloads Produkt-Touren PRODUKTE Cloud Platform Enterprise Splunkbase USE CASES Beurteilung der Digitalen Resilienz Blockchain-Monitoring Cloud-Transformation Compliance Datenmanagement Datenoptimierung IT-Modernisierung Künstliche Intelligenz Serverless-Monitoring Statusanalysen Ihrer IT-Services Überblick über die Plattform Alle Use Cases anzeigen Security Enterprise Security Stärken Sie Ihre digitale Resilienz durch ein modernes SOC – mit einheitlicher Bedrohungserkennung, Analyse und Reaktion. Preise Kostenlose Testversionen und Downloads Produkt-Touren Features Einheitliche TDIR-Plattform SIEM SOAR UEBA Attack Analyzer Asset and Risk Intelligence USE CASES Anomalie-Erkennung Betrugsprävention Compliance Datenmanagement Incident Management IT-Fehlersuche Künstliche Intelligenz Orchestrieren von Response-Workflows Security-Monitoring Threat Hunting Security – Überblick Alle Use Cases anzeigen Observability Observability Schaffen Sie mehr Transparenz, um Performance-Probleme zu erkennen, zu diagnostizieren und zu lösen – damit Anwendungen und Geschäftsabläufe reibungslos funktionieren. Preise Kostenlose Testversionen und Downloads Produkt-Touren PRODUKTE Observability Cloud IT Service Intelligence AppDynamics Use cases Anwendungsmodernisierung Cloud-Migration Debugging von Microservice-Problemen Eindämmen der Warnmeldeflut IT-Service-Status Künstliche Intelligenz Optimieren des Cloud-Monitorings Self-Service Observability Verbessern der End-User-Experience Vorbeugung von Ausfällen Observability – Überblick Alle Use Cases anzeigen Branchen Branchen Splunk steigert die Produktivität, Compliance und Sicherheit von Unternehmen aller Branchen. Bildungswesen Einzelhandel Energie- und Versorgungsunternehmen Fertigung Finanzdienstleister Gesundheitswesen Luft- und Raumfahrt, Verteidigung Non-Profit-Organisationen Öffentliche Hand Online-Services Technologie Telekommunikation und Medien Alle Branchen anzeigen Ressourcen Events Splunk-Events in Ihrer Nähe. Blogs Sehen, was es Neues gibt. ERSTE SCHRITTE Erste Schritte mit Splunk Splunk Lantern Community und User Groups Customer Success Ressourcen-Center LERNEN Schulung und Zertifizierung Dokumentation Blogs Events .conf26 WARUM SPLUNK? Warum Splunk? Über Splunk Auszeichnungen und Anerkennungen Kundengeschichten Splunk im Vergleich zu Mitbewerbern Partner Alle Ressourcen anzeigen Klicken Sie Suche Hilfe Support Kunden-Support Support-Portal Kontakt Splunk Answers Systemstatus Cisco-Support AppDynamics-Support Sicherheitsupdates Sprachen English Francais 日本語 한국어 中文 繁體中文 Anmelden Click User Account Anmelden Registrieren Mein Dashboard Instanzen Mein Training Logout PRODUCT LOGINS Splunk Observability Cloud Splunk Cloud Services Splunk AppDynamics Splunk On-Call Splunk Synthetic Monitoring Splunk Web Optimization Testversionen Klicken Sie Suche Hilfe Testversionen logo Testversionen Plattform Security Observability Branchen Ressourcen Support Account Anmelden | Registrieren English Francais 日本語 한국어 中文 繁體中文 Plattform Security Observability Branchen Ressourcen Support Plattform Die erweiterbare Datenplattform unterstützt einheitliche Sicherheit, Observability im gesamten Stack und unbegrenzte benutzerspezifische Anwendungen. Preise Kostenlose Testversionen und Downloads Produkt-Touren PRODUKTE Cloud Platform Enterprise Splunkbase USE CASES Beurteilung der Digitalen Resilienz Blockchain-Monitoring Cloud-Transformation Compliance Datenmanagement Datenoptimierung IT-Modernisierung Künstliche Intelligenz Serverless-Monitoring Statusanalysen Ihrer IT-Services Überblick über die Plattform Alle Use Cases anzeigen Enterprise Security Stärken Sie Ihre digitale Resilienz durch ein modernes SOC – mit einheitlicher Bedrohungserkennung, Analyse und Reaktion. Preise Kostenlose Testversionen und Downloads Produkt-Touren Features Einheitliche TDIR-Plattform SIEM SOAR UEBA Attack Analyzer Asset and Risk Intelligence USE CASES Anomalie-Erkennung Betrugsprävention Compliance Datenmanagement Incident Management IT-Fehlersuche Künstliche Intelligenz Orchestrieren von Response-Workflows Security-Monitoring Threat Hunting Security – Überblick Alle Use Cases anzeigen Observability Schaffen Sie mehr Transparenz, um Performance-Probleme zu erkennen, zu diagnostizieren und zu lösen – damit Anwendungen und Geschäftsabläufe reibungslos funktionieren. Preise Kostenlose Testversionen und Downloads Produkt-Touren PRODUKTE Observability Cloud IT Service Intelligence AppDynamics Use cases Anwendungsmodernisierung Cloud-Migration Debugging von Microservice-Problemen Eindämmen der Warnmeldeflut IT-Service-Status Künstliche Intelligenz Optimieren des Cloud-Monitorings Self-Service Observability Verbessern der End-User-Experience Vorbeugung von Ausfällen Observability – Überblick Alle Use Cases anzeigen Branchen Splunk steigert die Produktivität, Compliance und Sicherheit von Unternehmen aller Branchen. Bildungswesen Einzelhandel Energie- und Versorgungsunternehmen Fertigung Finanzdienstleister Gesundheitswesen Luft- und Raumfahrt, Verteidigung Non-Profit-Organisationen Öffentliche Hand Online-Services Technologie Telekommunikation und Medien Alle Branchen anzeigen Events Splunk-Events in Ihrer Nähe. Blogs Sehen, was es Neues gibt. ERSTE SCHRITTE Erste Schritte mit Splunk Splunk Lantern Community und User Groups Customer Success Ressourcen-Center LERNEN Schulung und Zertifizierung Dokumentation Blogs Events .conf26 WARUM SPLUNK? Warum Splunk? Über Splunk Auszeichnungen und Anerkennungen Kundengeschichten Splunk im Vergleich zu Mitbewerbern Partner Alle Ressourcen anzeigen Kunden-Support Support-Portal Kontakt Splunk Answers Systemstatus Cisco-Support AppDynamics-Support Sicherheitsupdates Anmelden Registrieren Mein Dashboard Instanzen Mein Training Logout PRODUCT LOGINS Splunk Observability Cloud Splunk Cloud Services Splunk AppDynamics Splunk On-Call Splunk Synthetic Monitoring Splunk Web Optimization Splunk Enterprise Security Splunk Enterprise Security Splunk Enterprise Security Funktionsweise Features Features SIEM SOAR UEBA Tarifoptionen FAQs More Splunk Enterprise Security Vereinheitlichtes TDIR Weniger Tool-Wirrwar Schneller durch KI Gestärktes SOC Sind Sie die isolierten Tool-Einzellösungen leid? Lernen Sie den neuen Standard für Threat Detection, Investigation and Response (TDIR) kennen. Enterprise Security (ES) ist eine einheitliche TDIR-Plattform, die nahtlos Funktionen von agentenbasierter KI, SOAR, UEBA und SIEM integriert. Produkt-Tour starten const items = document.querySelectorAll('.gsap-words-list li'); items.forEach((item, i) => { item.style.display = i === 0 ? 'block' : 'none'; }); let current = 0; function showWord(index) { items.forEach((item, i) => { item.style.display = i === index ? 'block' : 'none'; }); gsap.fromTo(items[index], { y: -40, scale: 0.8 }, { y: 0, scale: 1.1, duration: 0.5}); gsap.to(items[index], { scale: 1, duration: 0.2, delay: 0.5 }); } function nextWord() { current = (current + 1) % items.length; showWord(current); } setInterval(nextWord, 2000); showWord(0); Spüren Sie mit Splunk neue Bedrohungen auf – und stoppen Sie sie Mit Splunk Enterprise Security können Kunden die Alarmmüdigkeit reduzieren, für schnelle Security-Resultate sorgen, ihre Risiken deutlich minimieren und für das Zeitalter agentenbasierter KI Resilienz aufbauen. Umfassende Transparenz 111% mehr Bedrohungen präzise erkannt¹ Vereinfachte Experience 64% höhere SecOps-Effizienz² Beschleunigter SOC-Betrieb 55% schnellere Incident-Behebung¹ x Weitere Kunden Setzen Sie der Alarmmüdigkeit ein Ende – mit der führenden KI-gestützten SecOps-Plattform Schaffen Sie aussagekräftige Datentransparenz Mit Enterprise Security können Sie Ihre Daten über sämtliche Domänen, Clouds und Geräte hinweg verwalten, durchsuchen und analysieren – unabhängig davon, wo die Daten sich befinden. Dank umfassender Transparenz, KI-gestützten Erkennungen und KI-gestützter Priorisierung von Warnmeldungen können sich die SOC-Teams auf die Alerts konzentrieren, die richtig positiv sind, und schnell auf die wirklich wichtigen Warnmeldungen reagieren. Machen Sie aus TDIR eine einheitliche Sicherheitsplattform Brechen Sie die Silos auf und ersparen Sie sich die ständigen Kontextwechsel – mit einer End-to-End-Plattform, die Erkennung, Untersuchung und Reaktion umfasst. Enterprise Security führt die SOC-Workflows zusammen und optimiert jeden Schritt von der Erkennung bis zur Behebung – alles in einem einzigen, intuitiven Arbeitsbereich. Decken Sie Insider-Bedrohungen und Zero-Day-Angriffe mit UEBA auf Enterprise Security analysiert das Verhalten von Usern und Entitäten mit maschinellem Lernen. Diese UEBA-Funktionen (User and Entity Behavior Analytics) identifizieren Anomalien und Verhaltensauffälligkeiten, sodass Ihr Team kompromittierte Accounts und Ressourcen rechtzeitig schützen kann. Profitieren Sie von SOC-Automatisierung und Kontextanreicherung Geben Sie jedem SOC-Mitglied die Möglichkeit zu Automatisierungen – mit SOAR-Funktionen (Security Orchestration, Automation und Response) und automatischer Bedrohungsanreicherung. Sorgen Sie für optimierte Untersuchungen, geben Sie Handlungssicherheit durch Reaktionspläne und sorgen Sie für konsistente Reaktionen. Geben Sie Ihren Analysten Superkräfte – mit KI-gestützten Workflows Rüsten Sie alle Ihre Analysten mit KI aus – das reduziert den manuellen Aufwand und sorgt für schnellere Untersuchungen und schnellere Reaktionen dank Abfragen in natürlicher Sprache, geführten Workflows, Sofortzusammenfassungen und automatischer Berichterstellung. Organisieren Sie Ihre Erkennungen und reduzieren Sie die Mean Time to Detect Detection Studio* bietet eine vollständige Detection Lifecycle Experience für Engineering-Teams, die ihre Erkennungen damit nahtlos testen, scharf stellen und im Monitoring überwachen können. Messen und optimieren Sie Ihre Abdeckung nach MITRE-ATT&CK®-Framework, sodass Ihr Team stets auf der Höhe neuer Taktiken, Techniken und Verfahren (TTPs) bleibt und bei Erkennungslücken rasch eingreifen kann. * In Alpha-Version, soweit verfügbar. Noch mehr Enterprise-Security-Funktionen entdecken Alle Funktionen ansehen Risk-based Alerting (RBA) SOAR UEBA-Anpassung von Risiken und Erkennungen AI Assistant Datenmanagement und Datenföderation Risk-based Alerting (RBA) Schnellere Bedrohungserkennung und priorisierte Reaktionen Steigern Sie die SOC-Produktivität mit einer hochpräzisen Bedrohungserkennung, die die Menge der Warnmeldungen um bis zu 90 % reduziert. RBA verbessert die Richtig-positiv-Quote und sorgt dafür, dass sich Ihr Team auf die wichtigsten Bedrohungen konzentrieren kann. SOAR Effizienzsteigerung mit automatisierten TDIR-Workflows Splunk SOAR automatisiert die Security-Workflows, reduziert den manuellen Aufwand, beugt Alarmmüdigkeit vor und sorgt für kürzere Reaktionszeiten. Splunk SOAR ist nahtlos in Splunk Enterprise Security integriert und macht TDIR-Automatisierung in jeder Größenordnung möglich. UEBA-Anpassung von Risiken und Erkennungen Maßgeschneiderte ML-Modelle und User-orientierte Workflows Optimieren Sie die Machine-Learning- und die User-Behavior-Modelle auf Ihre spezifischen Prozesse, Richtlinien, Ressourcen, Benutzerrollen und Betriebsfunktionen, sodass Sie Insider-Bedrohungen und komplexe Angriffe noch besser erkennen und abwehren können. AI Assistant Startklare KI für Anleitungen, Abfragen, Zusammenfassungen und Berichte Der in die Workflows integrierte KI-Assistent gibt jederzeit sofort maßgeschneiderte Hilfestellung bei Untersuchungen, erleichtert Abfragen, fertigt übersichtliche Zusammenfassungen an und erstellt automatisch Berichte.* * Controlled Availability, soweit verfügbar. Datenmanagement und Datenföderation Optimiertes Datenmanagement und besserer Datenzugriff für Security-Teams Profitieren Sie von uneingeschränkter Datentransparenz dank modernen Datenmanagement-Funktionen wie föderierter Suche und Analyse. Zugleich optimieren Sie die Kosten Ihrer Security-Use-Cases und sorgen dafür, dass Ihr SOC Bedrohungen schneller denn je erkennen und untersuchen und darauf reagieren kann. Tarifoptionen für Enterprise Security (ES) Mehr erfahren ES Essentials ES Premier Enthaltene Funktionen Sicherheitsmonitoring Monitoring von On-premises-, Hybrid- und Multicloud-Umgebungen in Echtzeit, sodass Sie Bedrohungen frühzeitig erkennen und Ihre Risiken minimieren. ✓ ✓ Bedrohungserkennung Schnelle und präzise Erkennung von Bedrohungen mit RBA und Detection Studio* – für Echtzeit-Monitoring, erweiterte Analysen und zusätzliche Bedrohungsinformationen. * In Alpha-Version, soweit verfügbar. ✓ ✓ Bedrohungsuntersuchung Alle Einzelheiten zu jeder Bedrohung auf einer integrierten Plattform, die mit einer Kombination von erweiterten Such-, Korrelations- und Analysefunktionen die Zusammenarbeit erleichtert und effiziente Workflows ermöglicht. ✓ ✓ Threat Hunting Leistungsstarke Funktionen für Suche, Korrelation, Analyse und die Anreicherung um Bedrohungsinformationen, sodass Ihnen auch versteckte und neuartige Bedrohungen nicht entgehen. ✓ ✓ Automatisierung Für automatisierte Aufgaben und orchestrierte Workflows, mit anpassbaren SOAR-Playbooks, die allen Analysten die Arbeit erleichtern. ✓ Erkennung von Insider-Bedrohungen Echtzeit-Monitoring und fortschrittliches maschinelles Lernen, das bei Anomalien anschlägt und treffsichere Warnmeldungen auslöst, sorgen dafür, dass Sie Insider-Bedrohungen frühzeitig erkennen. ✓ Datenmanagement und Datenföderation* Föderierte Suche und Analyse schafft Datentransparenz ohne Grenzen. * Es können zusätzliche Kosten anfallen. ✓ ✓ Sehen Sie selbst, wie Kunden mit Splunk Mehrwert erzielen Alle Kundengeschichten anzeigen 40 % effektivere Erkennung von Cyberbedrohungen – und die Fähigkeit, Angriffe in Rekordzeit zu stoppen. Erfolgsgeschichte lesen $120 Mrd. an Börsenwert geschützt und mit risikobasierten Warnmeldungen das Rauschen deutlich reduziert. Erfolgsgeschichte lesen 3 × kürzere Reaktionszeiten bei Bedrohungen und mehr Teamkapazitäten für höherwertige Aufgaben. Erfolgsgeschichte lesen x Häufig gestellte Fragen Was ist Splunk Enterprise Security (ES)? Splunk Enterprise Security (ES) ist eine integrierte TDIR-Plattform (Threat Detection, Investigation and Response), die sämtliche Sicherheitsworkflows zu einer einheitlichen Experience optimiert zusammenführt. Splunk ES integriert unter anderem Funktionen für SIEM (Security Information and Event Management), agentenbasierte KI und SOAR zur Automatisierung, UEBA sowie KI/ML zur Verbesserung von Erkennungsgenauigkeit und Reaktionsgeschwindigkeit. Durch Zusammenführung dieser Funktionen in einem einzigen Interface reduziert Enterprise Security Ineffizienzen, beseitigt Tool-Silos und sorgt dafür, dass die SOC-Teams Bedrohungen effektiver erkennen und untersuchen und wirksamer reagieren können. Welche direkten Vorteile habe ich als Kundschaft davon, wenn ich zu ES Premier wechsle? Der Wechsel zu ES Premier bietet Splunk-Bestandskunden unmittelbare, handfeste Vorteile, unter anderem diese: Tool-Konsolidierung: Die Konsolidierung der einzelnen Sicherheitstools zu einer einheitlichen TDIR-Plattform optimiert Workflows und reduziert für die Teams den Zeitaufwand und die Komplexität beim Umgang mit Incidents erheblich. Durch die Integration der einzelnen Tools in ein einziges Interface können sich Kunden die Kontextwechsel ersparen, sie reduzieren die Menge manueller Arbeitsschritte und erhalten eine zentralisierte Übersicht über Bedrohungen und Warnmeldungen. Integrierte ML-gestützte UEBA: Kunden erhalten tieferen Einblick in anomales Verhalten von Usern und Entitäten, sodass sie Insider-Bedrohungen, kompromittierte Accounts und ansonsten schwer zu erkennende Methoden wie Zero-Day-Angriffe identifizieren können. SOAR-Funktionen für das gesamte SOC: ES Premier räumt mit Einschränkungen auf, die regelten, wer die SOAR-Funktionen (Security Orchestration, Automation and Response) nutzen konnte. Automatisierung ist dann für sämtliche Mitglieder im Team verfügbar – unabhängig von Rolle und Position in der Hierarchie. Dadurch wird sichergestellt, dass jede SOC-Position Workflows optimieren, Warnmeldungen anreichern und Reaktionsmaßnahmen ausführen kann. Kunden, die jetzt bei ES Premier einsteigen, können betriebliche Ineffizienzen reduzieren, ihre Security Operations frei skalieren und von den neuesten KI-Funktionen profitieren. * Controlled Availability, soweit verfügbar. Was ist der Unterschied zwischen Splunk Enterprise Security Essentials und Enterprise Security Premier? Derzeit gibt es Enterprise Security in zwei Editionen zur Auswahl: Essentials und Premier. ES Essentials umfasst nicht nur das bekannte SIEM, sondern auch den AI Assistant for Security (AIA) sowie Detection Studio, sofern verfügbar. Splunk Enterprise Security Essentials ist als Lösung für Security Information and Event Management (SIEM) seit über einem Jahrzehnt marktführend. Splunk Enterprise Security Premier geht allerdings über die reinen SIEM-Funktionen hinaus. ES Premier ist eine neue einheitliche TDIR-Plattform zur Erkennung und Untersuchung von Bedrohungen sowie zur Reaktion darauf, die SIEM-, UEBA-, SOAR- und KI-Funktionen vereint – alles in einer einzigen Plattform integriert, die damit der sich rasch wandelnden Sicherheitslandschaft von heute gerecht wird. Wie verbessert Splunk Enterprise Security die SOC-Effizienz mit agentenbasierter KI? Splunk Enterprise Security (ES) setzt agentenbasierte KI ein, um die Effizienz der SOC-Teams (Security Operations Center) zu steigern, indem routinemäßige, wenig komplexe Aufgaben automatisiert und zunehmend autonom abgearbeitet werden. Bei diesem Ansatz von Progressive Autonomy können die SOC-Teams das Spektrum der KI-Aufgaben schrittweise erweitern, von vollständig automatisierten Aktionen bis zu KI-Vorschlägen, die erst bestätigt werden müssen – im Zweifelsfall stets unter der Aufsicht von Menschen. ES umfasst erweiterte Funktionen wie das Reverse Engineering von Malware, das Schadskripte automatisch Zeile für Zeile auseinandernimmt, Kompromittierungsindikatoren (IOCs) extrahiert, Umgehungstechniken markiert und wiederkehrende Verhaltensweisen zu Gruppen zusammenfasst, um die Analyse zu beschleunigen. Darüber hinaus gibt es einen Triage-Agenten, der Warnmeldungen bewertet, priorisiert und erklärt, sodass sich die SOC-Teams auf die kritischsten Bedrohungen konzentrieren können. Die SOC-Teams können außerdem mit Anweisungen in natürlicher Sprache Automatisierungsplaybooks und Erkennungsregeln schnell erstellen und anpassen, auch ohne fortgeschrittene technische Kenntnisse. ES optimiert die Anreicherung von Warnmeldungen ebenso wie Triage, Untersuchungen und Malware-Analysen. Auf diese Weise reduziert Splunk Enterprise Security den operativen Aufwand und sorgt dafür, dass die SOC-Analysten sich den wirklich wichtigen Sicherheitsaufgaben zuwenden können. 1 IDC: The Business Value of Splunk Security: A Unified TDIR Platform . Business Value Snapshot 06/2025. 2 Enterprise Strategy Group: Analyzing the Economic Benefits of Splunk Security . Economic Validation 09/2023. Jetzt loslegen mit Enterprise Security Entdecken Sie, wie Splunk Ihre gesamten TDIR-Workflows auf einer leistungsstarken, einheitlichen agentenbasierten SOC-Plattform zusammenführt. Produkt-Tour starten UNTERNEHMEN UNTERNEHMEN Über Splunk Karriere Splunk im Vergleich Führungsteam Presse Partner Philosophie Vertrauen SURGe Warum Splunk? PRODUKTE PRODUKTE Kostenlose Testversionen und Downloads Preisinformationen Alle Produkte SITES SITES .conf Dokumentation Investor Relations Training und Zertifizierung Splunk Store Videos Alle Ressourcen KONTAKT KONTAKT Vertrieb Support NUTZERBEWERTUNGEN NUTZERBEWERTUNGEN Gartner Peer Insights™ PeerSpot TrustRadius Splunk logo Twitter Facebook Linked In Youtube Instagram --> © 2005 - 2026 Splunk LLC All rights reserved. Rechtliche Hinweise Datenschutz Sitemap Cookies Nutzungsbedingungen Modern Slavery Splunk logo © 2005 - 2026 Splunk LLC All rights reserved. × | 2026-01-13T09:29:30 |
https://docs.aws.amazon.com/fr_fr/lambda/latest/dg/durable-functions.html#durable-functions-benefits | Fonctions durables Lambda - AWS Lambda Fonctions durables Lambda - AWS Lambda Documentation AWS Lambda Guide du développeur Principaux avantages Comment ça marche Quand utiliser des fonctions durables Étapes suivantes Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra. Fonctions durables Lambda Les fonctions durables de Lambda vous permettent de créer des applications résilientes en plusieurs étapes et des flux de travail d'IA pouvant être exécutés pendant un an tout en maintenant une progression fiable malgré les interruptions. Lorsqu'une fonction durable est exécutée, ce cycle de vie complet est appelé exécution durable, qui utilise des points de contrôle pour suivre la progression et rétablir automatiquement les défaillances par le biais d'une rediffusion, en la réexécutant depuis le début tout en omettant le travail terminé. Dans chaque fonction, vous utilisez des opérations durables comme éléments fondamentaux. Les étapes exécutent la logique métier grâce aux nouvelles tentatives intégrées et au suivi de la progression, tandis que les temps d'attente suspendent l'exécution sans frais de calcul, ce qui les rend idéales pour les processus de longue durée tels que les human-in-the-loop flux de travail ou l'analyse des dépendances externes. Qu'il s'agisse de traiter des commandes, de coordonner des microservices ou d'orchestrer des applications d'IA agentic, les fonctions durables maintiennent automatiquement l'état et se rétablissent en cas de panne pendant que vous écrivez du code dans des langages de programmation familiers. Principaux avantages Écrivez du code résilient naturellement : avec des structures de programmation familières, vous pouvez écrire du code qui gère automatiquement les défaillances. Grâce au point de contrôle intégré, aux nouvelles tentatives transparentes et à la restauration automatique, votre logique métier reste claire et ciblée. Payez uniquement pour ce que vous utilisez : pendant les opérations d'attente, votre fonction est suspendue sans frais de calcul. Pour les flux de travail de longue durée qui attendent des heures ou des jours, vous ne payez que pour le temps de traitement réel, et non pour les temps d'attente inactifs. Simplicité opérationnelle : avec le modèle sans serveur de Lambda, vous bénéficiez d'une mise à l'échelle automatique scale-to-zero, y compris sans gérer l'infrastructure. Les fonctions durables gèrent automatiquement la gestion des états, la logique des nouvelles tentatives et la reprise en cas de panne, réduisant ainsi les frais opérationnels. Comment ça marche En résumé, les fonctions durables sont des fonctions Lambda classiques utilisant un checkpoint/replay mécanisme permettant de suivre les progrès et de soutenir les opérations de longue durée grâce à des points de suspension définis par l'utilisateur, communément appelés « exécution durable ». Lorsqu'une fonction durable reprend après un point d'attente ou une interruption, comme de nouvelles tentatives, le système effectue une rediffusion. Pendant la rediffusion, votre code s'exécute depuis le début mais ignore les points de contrôle terminés, utilisant les résultats enregistrés au lieu de réexécuter les opérations terminées. Ce mécanisme de rediffusion garantit la cohérence tout en permettant des exécutions de longue durée. Une fois que votre fonction a repris après une pause ou une interruption, le système effectue une rediffusion. Pendant la rediffusion, votre code s'exécute depuis le début mais ignore les points de contrôle terminés, utilisant les résultats enregistrés au lieu de réexécuter les opérations terminées. Ce mécanisme de rediffusion garantit la cohérence tout en permettant des exécutions de longue durée. Pour exploiter ce checkpoint-and-replay mécanisme dans vos applications, Lambda fournit un SDK d'exécution durable. Le SDK élimine la complexité de la gestion des points de contrôle et de la rediffusion en exposant des primitives simples appelées opérations durables que vous utilisez dans votre code. Le SDK est disponible pour JavaScript Python et s'intègre parfaitement à votre flux de travail de développement Lambda existant. TypeScript Avec le SDK, vous pouvez encapsuler votre gestionnaire d'événements Lambda, qui fournit ensuite DurableContext un lien avec votre événement. Ce contexte vous donne accès à des opérations durables telles que les étapes et les attentes. Vous écrivez la logique de votre fonction sous forme de code séquentiel normal, mais au lieu d'appeler directement les services, vous regroupez ces appels par étapes pour des points de contrôle et des tentatives automatiques. Lorsque vous devez suspendre l'exécution, vous ajoutez des temps d'attente qui suspendent votre fonction sans encourir de frais. Le SDK gère toute la complexité de la gestion des états et de la rediffusion en arrière-plan, afin que votre code reste propre et lisible. Quand utiliser des fonctions durables Coordination de courte durée : coordonnez les paiements, les stocks et les expéditions entre plusieurs services avec annulation automatique en cas de panne. Traitez les commandes par le biais de la validation, de l'autorisation de paiement, de l'allocation des stocks et de l'exécution avec une garantie d'exécution. Traitez les paiements en toute confiance : créez des flux de paiement résilients qui maintiennent l'état des transactions en cas d'échec et gèrent automatiquement les nouvelles tentatives. Coordonnez l'autorisation en plusieurs étapes, les contrôles antifraude et le règlement entre les fournisseurs de paiement avec une auditabilité totale à chaque étape. Créez des flux de travail d'IA fiables : créez des flux de travail d'IA en plusieurs étapes qui enchaînent les appels, intègrent les commentaires humains et gèrent les tâches de longue durée de manière déterministe en cas de panne. Reprenez automatiquement après la suspension et ne payez que pour le temps d'exécution actif. Orchestrez le traitement des commandes complexes : coordonnez le traitement des commandes entre les systèmes d'inventaire, de paiement, d'expédition et de notification grâce à une résilience intégrée. Gérez automatiquement les défaillances partielles, préservez l'état des commandes malgré les interruptions et attendez efficacement les événements externes sans consommer de ressources informatiques. Automatisez les flux de travail commerciaux en plusieurs étapes : créez des flux de travail fiables pour l'intégration des employés, l'approbation des prêts et les processus de conformité qui s'étendent sur des jours ou des semaines. Maintenez l'état du flux de travail lors des approbations humaines, des intégrations de systèmes et des tâches planifiées tout en offrant une visibilité complète sur l'état et l'historique des processus. Étapes suivantes Commencez avec des fonctions durables Découvrez le SDK d'exécution durable Surveillez et déboguez les fonctions durables Vérifiez la sécurité et les autorisations Suivez les meilleures pratiques JavaScript est désactivé ou n'est pas disponible dans votre navigateur. Pour que vous puissiez utiliser la documentation AWS, Javascript doit être activé. Vous trouverez des instructions sur les pages d'aide de votre navigateur. Conventions de rédaction Flux de travail et événements Concepts de base Cette page vous a-t-elle été utile ? - Oui Merci de nous avoir fait part de votre satisfaction. Si vous avez quelques minutes à nous consacrer, merci de nous indiquer ce qui vous a plu afin que nous puissions nous améliorer davantage. Cette page vous a-t-elle été utile ? - Non Merci de nous avoir avertis que cette page avait besoin d'être retravaillée. Nous sommes désolés de ne pas avoir répondu à vos attentes. 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https://cloudflare.com/personal/ | Personal | Cloudflare Sign up Languages English English (United Kingdom) Deutsch Español (Latinoamérica) Español (España) Français Italiano 日本語 한국어 Polski Português (Brasil) Русский 繁體中文 简体中文 Platform Connectivity cloud Cloudflare’s connectivity cloud delivers 60+ networking, security, and performance services. 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https://uptimerobot.com/free-tools/cron-expression-generator/ | CrontabRobot: Free Cron Expression Generator by UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE CrontabRobot: Free Cron Expression Generator . Create custom cron expressions for your scheduled tasks in seconds — no guesswork or manual syntax errors. Whether you're automating jobs daily, weekly, or at specific intervals, our tool helps you get it done fast and error-free. Monitor your cron jobs for free. Try UptimeRobot - get 50 cron monitors with instant alerts when something fails. Start monitoring for free Frequently asked questions . How do I use cron expressions? Cron expressions define when recurring tasks should run—like system backups, API calls, or data syncs. This tool helps you: Choose your format: Select either Standard (5-field) cron syntax (used by most Unix/Linux systems) or Quartz (6-field) syntax (used in Java-based schedulers). Edit each part of the expression: Manually enter values in each field or select from common presets/examples. Get a real-time preview & breakdown: As you edit, the tool highlights each part and explains what it does, along with upcoming run dates. Copy or generate expressions: Copy your custom expression, or generate a random one for testing. Whether you're scheduling simple jobs or advanced tasks in cloud environments, this tool helps you build cron expressions quickly and confidently. How do I use this generator to create my schedule? This tool simplifies cron expression creation. Just enter your desired values into the Minute, Hour, Day of Month, Month, and Day of Week fields. As you type, the tool provides a human-readable explanation and displays the exact "Next run dates" to confirm the schedule. When you're ready, click Copy to get your expression. I need a job to run every X minutes. How do I do that? Use the forward slash ( / ) to define step values. For example, to run a job every 15 minutes, enter */15 in the Minute field. The generator will produce the expression */15 * * * * . You can use this technique in other fields too—for example, */2 in the Hour field runs the job every 2 hours. I've copied my expression. Where do I paste it? The expression defines when the job runs. To make it do something, you must pair it with a command inside a cron file: 1. Open your server's terminal. 2. Type crontab -e and press Enter to edit your cron file. 3. On a new line, paste your cron expression, add a space, then type the full path to the script or command you want to run. 4. Save and exit the file. 5. The job will run at the specified times. What is the difference between this 5-field expression and a 6-field (Quartz) one? This generator creates standard 5-field cron expressions used in most Unix/Linux systems. Some systems—especially Java-based schedulers like Quartz —use a 6-field format that adds a "Seconds" field at the beginning. If your application requires the Quartz format, you can prepend a seconds value manually (e.g., 0 0 2 * * * for 2:00 AM). How can I check if my cron job is actually running? The most reliable way is to check the system log. In your terminal, run: For Ubuntu/Debian : grep CRON /var/log/syslog For CentOS/RHEL : grep CRON /var/log/cron This shows the history of cron executions, confirming whether your command was triggered. My cron job isn't running. What are the most common mistakes? Here's a quick troubleshooting checklist: Incorrect Path: Cron has a limited environment—use absolute paths for all files and commands. Missing Permissions: The script must be executable. Run: chmod +x /path/to/your/script.sh Unexpected Output: Cron emails any output by default, which can cause issues. Suppress output by appending: > /dev/null 2>&1 Where can I find more advanced examples and explanations? This tool is designed for quick generation and basic troubleshooting. For advanced cron syntax (e.g., ranges, lists, step values), complex scheduling, and real-world examples, check out our Ultimate Guide to Cron Expressions. Downtime happens. Get notified! Join more than 2,700,000+ happy users! 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Cloudflare professional services include: Provided by Cloudflare directly, or via our vast network of Authorized service delivery partners Globally available, with expert consultation for all Cloudflare solutions Flexible, offering a range of advisory or hands-on options to best meet your needs Get started CLOUDFLARE PROFESSIONAL SERVICES Plan, configure, and deploy Tap into our experience and tools to accelerate your Cloudflare implementation. Cloudflare expertise All engagements are infused with best practices and led by experts who deploy Cloudflare solutions all day, every day. Get started quickly Accelerate modernization goals, including rapid vendor consolidation and security innovation. Globally available Cloudflare Professional Services teams and partners are located around the globe, for local support. Quickstart advisory professional services Deploy quickly and efficiently With Quickstart, a Cloudflare solution SME works alongside your team to guide configuration with proven best practices, helping you deploy confidently. Adding a Cloudflare expert ensures overextended teams save time and are set up for success from the very start. Solution brief Expert professional services Hands-on implementation services For deployments with complex or unique requirements, Cloudflare architects and consultants are available to help you manage your implementation end-to-end. Expert engagements are customized to your specific success criteria, including project planning, architectural design, test validation, and hands-on support. 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https://docs.aws.amazon.com/fr_fr/lambda/latest/dg/durable-functions.html#durable-functions-next-steps | Fonctions durables Lambda - AWS Lambda Fonctions durables Lambda - AWS Lambda Documentation AWS Lambda Guide du développeur Principaux avantages Comment ça marche Quand utiliser des fonctions durables Étapes suivantes Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra. Fonctions durables Lambda Les fonctions durables de Lambda vous permettent de créer des applications résilientes en plusieurs étapes et des flux de travail d'IA pouvant être exécutés pendant un an tout en maintenant une progression fiable malgré les interruptions. Lorsqu'une fonction durable est exécutée, ce cycle de vie complet est appelé exécution durable, qui utilise des points de contrôle pour suivre la progression et rétablir automatiquement les défaillances par le biais d'une rediffusion, en la réexécutant depuis le début tout en omettant le travail terminé. Dans chaque fonction, vous utilisez des opérations durables comme éléments fondamentaux. Les étapes exécutent la logique métier grâce aux nouvelles tentatives intégrées et au suivi de la progression, tandis que les temps d'attente suspendent l'exécution sans frais de calcul, ce qui les rend idéales pour les processus de longue durée tels que les human-in-the-loop flux de travail ou l'analyse des dépendances externes. Qu'il s'agisse de traiter des commandes, de coordonner des microservices ou d'orchestrer des applications d'IA agentic, les fonctions durables maintiennent automatiquement l'état et se rétablissent en cas de panne pendant que vous écrivez du code dans des langages de programmation familiers. Principaux avantages Écrivez du code résilient naturellement : avec des structures de programmation familières, vous pouvez écrire du code qui gère automatiquement les défaillances. Grâce au point de contrôle intégré, aux nouvelles tentatives transparentes et à la restauration automatique, votre logique métier reste claire et ciblée. Payez uniquement pour ce que vous utilisez : pendant les opérations d'attente, votre fonction est suspendue sans frais de calcul. Pour les flux de travail de longue durée qui attendent des heures ou des jours, vous ne payez que pour le temps de traitement réel, et non pour les temps d'attente inactifs. Simplicité opérationnelle : avec le modèle sans serveur de Lambda, vous bénéficiez d'une mise à l'échelle automatique scale-to-zero, y compris sans gérer l'infrastructure. Les fonctions durables gèrent automatiquement la gestion des états, la logique des nouvelles tentatives et la reprise en cas de panne, réduisant ainsi les frais opérationnels. Comment ça marche En résumé, les fonctions durables sont des fonctions Lambda classiques utilisant un checkpoint/replay mécanisme permettant de suivre les progrès et de soutenir les opérations de longue durée grâce à des points de suspension définis par l'utilisateur, communément appelés « exécution durable ». Lorsqu'une fonction durable reprend après un point d'attente ou une interruption, comme de nouvelles tentatives, le système effectue une rediffusion. Pendant la rediffusion, votre code s'exécute depuis le début mais ignore les points de contrôle terminés, utilisant les résultats enregistrés au lieu de réexécuter les opérations terminées. Ce mécanisme de rediffusion garantit la cohérence tout en permettant des exécutions de longue durée. Une fois que votre fonction a repris après une pause ou une interruption, le système effectue une rediffusion. Pendant la rediffusion, votre code s'exécute depuis le début mais ignore les points de contrôle terminés, utilisant les résultats enregistrés au lieu de réexécuter les opérations terminées. Ce mécanisme de rediffusion garantit la cohérence tout en permettant des exécutions de longue durée. Pour exploiter ce checkpoint-and-replay mécanisme dans vos applications, Lambda fournit un SDK d'exécution durable. Le SDK élimine la complexité de la gestion des points de contrôle et de la rediffusion en exposant des primitives simples appelées opérations durables que vous utilisez dans votre code. Le SDK est disponible pour JavaScript Python et s'intègre parfaitement à votre flux de travail de développement Lambda existant. TypeScript Avec le SDK, vous pouvez encapsuler votre gestionnaire d'événements Lambda, qui fournit ensuite DurableContext un lien avec votre événement. Ce contexte vous donne accès à des opérations durables telles que les étapes et les attentes. Vous écrivez la logique de votre fonction sous forme de code séquentiel normal, mais au lieu d'appeler directement les services, vous regroupez ces appels par étapes pour des points de contrôle et des tentatives automatiques. Lorsque vous devez suspendre l'exécution, vous ajoutez des temps d'attente qui suspendent votre fonction sans encourir de frais. Le SDK gère toute la complexité de la gestion des états et de la rediffusion en arrière-plan, afin que votre code reste propre et lisible. Quand utiliser des fonctions durables Coordination de courte durée : coordonnez les paiements, les stocks et les expéditions entre plusieurs services avec annulation automatique en cas de panne. Traitez les commandes par le biais de la validation, de l'autorisation de paiement, de l'allocation des stocks et de l'exécution avec une garantie d'exécution. Traitez les paiements en toute confiance : créez des flux de paiement résilients qui maintiennent l'état des transactions en cas d'échec et gèrent automatiquement les nouvelles tentatives. Coordonnez l'autorisation en plusieurs étapes, les contrôles antifraude et le règlement entre les fournisseurs de paiement avec une auditabilité totale à chaque étape. Créez des flux de travail d'IA fiables : créez des flux de travail d'IA en plusieurs étapes qui enchaînent les appels, intègrent les commentaires humains et gèrent les tâches de longue durée de manière déterministe en cas de panne. Reprenez automatiquement après la suspension et ne payez que pour le temps d'exécution actif. Orchestrez le traitement des commandes complexes : coordonnez le traitement des commandes entre les systèmes d'inventaire, de paiement, d'expédition et de notification grâce à une résilience intégrée. Gérez automatiquement les défaillances partielles, préservez l'état des commandes malgré les interruptions et attendez efficacement les événements externes sans consommer de ressources informatiques. Automatisez les flux de travail commerciaux en plusieurs étapes : créez des flux de travail fiables pour l'intégration des employés, l'approbation des prêts et les processus de conformité qui s'étendent sur des jours ou des semaines. Maintenez l'état du flux de travail lors des approbations humaines, des intégrations de systèmes et des tâches planifiées tout en offrant une visibilité complète sur l'état et l'historique des processus. Étapes suivantes Commencez avec des fonctions durables Découvrez le SDK d'exécution durable Surveillez et déboguez les fonctions durables Vérifiez la sécurité et les autorisations Suivez les meilleures pratiques JavaScript est désactivé ou n'est pas disponible dans votre navigateur. Pour que vous puissiez utiliser la documentation AWS, Javascript doit être activé. Vous trouverez des instructions sur les pages d'aide de votre navigateur. Conventions de rédaction Flux de travail et événements Concepts de base Cette page vous a-t-elle été utile ? - Oui Merci de nous avoir fait part de votre satisfaction. Si vous avez quelques minutes à nous consacrer, merci de nous indiquer ce qui vous a plu afin que nous puissions nous améliorer davantage. Cette page vous a-t-elle été utile ? - Non Merci de nous avoir avertis que cette page avait besoin d'être retravaillée. Nous sommes désolés de ne pas avoir répondu à vos attentes. Si vous avez quelques minutes à nous consacrer, merci de nous indiquer comment nous pourrions améliorer cette documentation. | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/fraser-kelton | Fraser Kelton ABOUT Team Companies Fraser Kelton General Partner, Early As a founder-turned-investor, Fraser is familiar with how hard it is to build something profound. It takes founders with ambition, talent, and taste to turn an idea into a product that can change the world. “They have to work through exceptional amounts of ambiguity,” he says. “But great products, built by small teams, have consistently driven society forward.” Fraser has spent his career working alongside talented engineers and researchers. Most recently, he was Head of Product at OpenAI, where he wrote the organization’s first product roadmaps and led the product development teams that launched ChatGPT and DALL-E. Prior to OpenAI, Fraser was CEO and co-founder of an AI startup that Airbnb acquired in 2018. Now as a General Partner at Spark, Fraser brings the unique perspective of someone who has developed products at companies of all sizes. He understands the challenges of starting a company, and how a strong founder-investor relationship can help a team do what they do best: create technology that people love. “My job is to find the most talented technical founders who believe they can change the world,” he says. “And then patiently support them as they do.” @fraser https://hallwaychat.transistor.fm/ Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies Fraser incorporated his startup the same week his first child was born. "There are maybe three material decisions that matter to a startup per year. I want to help founders navigate those moments while still being there for however else they need—or don't need—me." | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/yasmin-razavi | Yasmin Razavi ABOUT Team Companies Yasmin Razavi General Partner, Growth Yasmin Razavi doesn’t make gut-based decisions. For her, the often decade-long partnership between a founder and VC deserves a special kind of attention. As a general partner at Spark, she spends the mental calories required to look at the data, the story, and the market to understand at a granular level why a company is doing what it’s doing. Yasmin grew up in Tehran before leaving to study engineering at the University of Toronto, and later business at Harvard, where she received an MBA. Before joining Spark, she was a consultant at McKinsey & Company and an investor at Index Ventures in London . She later joined Snap Inc. as a product manager to build the technology behind the app’s monetization stack. At Spark, Yasmin is a student of go-to-market and believes it separates good companies from great companies. She partners with founders after they hit product market fit on their journey to scale. “I help the founders I work with out-execute their competitors in their act one, and think through and capitalize on their act two and three.” @YasminRazavi Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies “I believe gut driven investing often favors a certain type of entrepreneur and disadvantages founders that are not performers, but who are nonetheless building solid businesses. This is something I’m very conscious of and want to avoid.” Coming from a long line of engineers, Yasmin is drawn to highly technical founders. She believes the power belongs to those who can create and shape the future of technology. It’s led her to invest in enterprise software and financial services companies that empower developers. Yasmin’s favorite place in the world is London. “When you tire of London you’re tired of life.” Yasmin is fully analog when it comes to her reading habit. She reads fiction exclusively—and only in print. | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/coen-armstrong | Coen Armstrong ABOUT Team Companies Coen Armstrong Investor, Growth As an investor on Spark’s growth team, Coen looks for companies that operate outside the standard formula. He believes inventiveness, clarity, and a sharp eye for overlooked opportunities can transform a founder’s vision into a powerful market force. “Markets win and companies win,” he says. “And the best founders pick the right markets.” Coen was born in Hong Kong and grew up in Singapore and the UK. He attended Stanford where he received degrees in mathematics and history . After considering a PhD in mathematics, he opted to explore the technology world, garnering experience at biotech and insurance startups and spending a summer at the hedge fund Bridgewater. He began his venture career at 8VC before joining Spark in 2024. Coen considers himself a proud generalist. “I’m driven by curiosity,” he explains. He views his relationships with founders as strategic collaborations, where he can bring his experiential knowledge and an analytical eye to problems companies might only see once or twice in their lifetime. For Coen, this involves asking the right questions that reveal unexpected insights that can shape a company’s future. “Most startups fail,” he says. “That flicker of unusualness is a good sign a company might be the exception.” Coen Armstrong coen_armstrong Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies "I've always been interested in path-dependent phenomena; things that looked like dead ends but turned out not to be—like electric cars in the 1900s." "There's just so much information in this ecosystem. What really matters is not connection of information but discernment of it." | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/santo-politi | Santo Politi ABOUT Team Companies Santo Politi Co-founder & General Partner, Early Life has been a series of reinventions for Santo Politi. Growing up in Turkey, Santo received a scholarship to study electrical engineering in the U.S., paving the path to a job at Panasonic in the company’s Broadcast and Television division . After a decade working as an engineer, Santo went to business school, where he juggled a full-time job with his studies. As he was graduating, Santo declined a job offer as a trader with Morgan Stanley in London to remain in the U.S. to be with his now wife . The choice changed the course of his life and career. “Coincidences matter,” he says. “These chance encounters and decisions are what direct the course of your life and your business.” After school, Santo joined Bankers Trust, to help launch the bank’s first early stage venture arm. He left to become the President of Blockbuster before eventually returning to venture capital as a general partner at Charles River Ventures. After a few years, Santo struck out on his own to start Spark in 2005 with Todd Dagres and Bijan Sabet. Spark was a chance for Santo to do venture his own way . “We wanted to be an East Coast firm with a West Coast offense,” he says. “We decided to swing for the fences every time, and this is how we’ve invested since day one.” Santo helped build Spark to challenge venture’s commonly held beliefs. He believes there’s no repeatable lessons when it comes to investing—the most impactful companies tend to break the rules . “Everything at Spark is written in sand, not concrete,” he says. “Most firms are predicated on rules, and every year they make more rules, which will only guarantee that they miss the exceptional companies.” santopoliti @santopoliti Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies “I moved to New York with $800 and money to cover tuition. I was supporting my family back home in Turkey as well. As an immigrant, you have to make your own way. There is no plan B.” “I built a lot of robots before robots were robots. We built the super high quality professional stuff, and then the consumer stuff—VCRs and cameras—was based on what we created.” Every Wednesday, Santo would leave his business school class in Philadelphia to visit his engineering teams in San Francisco or Osaka, Japan. “I am very lucky and thankful to have met her.” “The whole idea was to be kinder and gentler. We aimed to be a place where people wanted to work; where you respected people’s personal lives as much as their professional lives.” At the time, few venture firms were audacious enough to invest in consumer tech, but Santo felt an unwavering confidence in the internet as a transformative technology. It led Spark to invest early in companies like Oculus, Twitter, Wayfair, and Tumblr. When Spark led the seed round of Plaid, the team consisted of two young, first-time founders who were just getting out of the consulting world. Within three years, the founders had gone from concept to being the infrastructure that consumers relied on to connect their bank account to third-party apps like Venmo and Coinbase. Santo has served on the board since 2015. The first time Santo tried the Oculus Rift, he remembers it being the most transformative hardware experience he’d had since the iPhone. He immediately invested leading the Series A in 2013. Less than a year later, the company was acquired by Facebook for $2 billion. | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/mikowai-ashwill | Mikowai Ashwill ABOUT Team Companies Mikowai Ashwill Investor, Early Growing up in a small Midwestern town, Miko took an unlikely path to venture. He spent his teenage years performing around the world as a classical pianist. He went on to study music and industrial engineering at Northwestern before joining Goldman Sachs. Miko is an investor on the early-stage team at Spark, joining from Ribbit, where he led the firm’s investment in Decagon. “I want to do this job in a very unscalable way,” he says. “Hands-on, and with a small handful of founders who are irrationally motivated and unapologetically ambitious.” Mikowai Ashwill @MikowaiA Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/kevin-thau | Kevin Thau ABOUT Team Companies Kevin Thau Venture Partner Over two decades, Kevin worked for visionary founders, launched products that people love, and saw two companies go public. While attending the University of California-Santa Barbara, Kevin met a young entrepreneur named John Macfarlane, who had a vision for the future of messaging and mobile. Kevin quickly joined John at Software.com (later called Openwave) as the seventh employee, and over the next eight years, he helped launch the first mobile messaging services and browsers on more than a billion phones. After Openwave, John founded the speaker company Sonos. In 2008 lightning struck again when Kevin met Jack Dorsey, Evan Williams, and Biz Stone. He joined Twitter when the company was just a dozen people to run the mobile product teams and later led business and corporate development. In 2015, he joined Spark as a general partner. Drawing on his working experience and the types of founders he’s worked for, Kevin gravitates towards companies that create new consumer experiences. “I love working with people who care about building a brand,” he says. “I know that is a loaded term, but my favorite entrepreneurs are the ones who appreciate design, obsess over details, and are incredible storytellers.” Kevin Thau @kevinthau https://www.thetwentyminutevc.com/podcast/kevinthau/ Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies After Openwave, John would go on to start Sonos, the wireless speaker company. At Openwave, Kevin worked closely with Thomas Reardon. Things came full circle when Reardon started Ctrl Labs in 2017, and Kevin became his first investor. In 2019, Ctrl Labs sold to Facebook. During his six years at Twitter, Kevin saw the service evolve from a social networking toy to changing the future of media. “To me, there’s a simple formula for venture capital: be curious, hustle, be a good human, and invest in great companies. If you invest in great companies, you’ll get to invest in more great companies. There’s no other secret.” Kevin knew he had to invest in Mirror after the first time he tried the product. “I remember running out of the pitch meeting to catch Brynn before she got on the elevator. I couldn’t let her leave without making an offer.” | 2026-01-13T09:29:30 |
https://docs.aws.amazon.com/ja_jp/lambda/latest/dg/lambda-runtime-environment.html#runtimes-lifecycle-invoke-with-errors | Lambda 実行環境のライフサイクルの概要 - AWS Lambda Lambda 実行環境のライフサイクルの概要 - AWS Lambda ドキュメント AWS Lambda デベロッパーガイド 実行環境のライフサイクル コールドスタートとレイテンシー プロビジョニングされた同時実行によるコールドスタートの減少 静的初期化の最適化 Lambda 実行環境のライフサイクルの概要 Lambda は、実行環境で関数を呼び出します。これにより、安全で分離されたランタイム環境が提供されます。実行環境は、関数の実行に必要なリソースを管理します。また、関数のランタイム、および関数に関連付けられた 外部拡張機能 のライフサイクルサポートも提供します。 関数のランタイムは、 ランタイム API を使用して Lambda と通信します。拡張機能は、 拡張機能 API を使用して Lambda と通信します。拡張機能は、 Telemetry API を使用することで、関数からログメッセージとその他のテレメトリを受け取ることもできます。 Lambda 関数を作成する際に、関数に許可するメモリ容量や最大実行時間など、設定情報を指定します。Lambda はこの情報を使用して実行環境をセットアップします。 関数のランタイムと各外部拡張機能は、実行環境内で実行されるプロセスです。アクセス許可、リソース、認証情報、および環境変数は、関数と拡張機能の間で共有されます。 トピック Lambda 実行環境のライフサイクル コールドスタートとレイテンシー プロビジョニングされた同時実行によるコールドスタートの減少 静的初期化の最適化 Lambda 実行環境のライフサイクル 各フェーズは、ランタイムと、登録されているすべての拡張機能に Lambda を送信するイベントから始まります。ランタイムと各拡張機能は、 Next API リクエストを送信することで完了を示します。Lambda は、ランタイムと各拡張機能が完了して保留中のイベントがなくなると、実行環境をフリーズします。 トピック 初期化フェーズ 初期化フェーズ中の失敗 復元フェーズ (Lambda SnapStart のみ) 呼び出しフェーズ 呼び出しフェーズ中の失敗 シャットダウンフェーズ 初期化フェーズ Init フェーズでは、Lambda は次の 3 つのタスクを実行します。 すべての拡張機能を起動する ( Extension init ) ランタイムをブートストラップする ( Runtime init ) 関数の静的コード ( Function init ) を実行する 任意の before-checkpoint ランタイムフック を実行する (Lambda SnapStart のみ) この Init フェーズは、ランタイムとすべての拡張機能が Next API リクエストを送信して準備完了を示したときに終了します。 Init フェーズは 10 秒に制限されています。3 つのタスクすべてが 10 秒以内に完了しない場合、Lambda は最初の関数呼び出し時に、設定された関数タイムアウトで Init フェーズを再試行します。 Lambda SnapStart がアクティブ化されると、関数バージョンの発行時に Init フェーズが開始されます。Lambda は、初期化された実行環境のメモリとディスク状態のスナップショットを保存し、暗号化されたスナップショットを永続化して、低レイテンシーアクセスのためにスナップショットをキャッシュします。チェックポイント前の ランタイムフック がある場合、コードは Init フェーズの最後に実行されます。 注記 10 秒のタイムアウトは、プロビジョニングされた同時実行または SnapStart を使用している関数には適用されません。プロビジョニングされた同時実行関数と SnapStart 関数の場合、初期化コードは最大 15 分間実行できます。制限時間は 130 秒、または設定されている関数のタイムアウト (最大 900 秒) のいずれか長い方です。 プロビジョニング済み同時実行 を使用する場合、関数の PC 設定を行う際、Lambda は実行環境を初期化します。また Lambda は、初期化された実行環境が呼び出し前に常に使用できるようにします。関数の呼び出しフェーズと初期化フェーズの間に予期しないギャップが発生する場合があります。関数のランタイムとメモリ設定によっては、初期化された実行環境での最初の呼び出しでレイテンシーの変動が発生する場合があります。 オンデマンド同時実行を使用する関数の場合、Lambda は呼び出しリクエストの前に実行環境を初期化することがあります。これが発生すると、関数の初期化フェーズと呼び出しフェーズの間に時間のギャップが発生することがあります。この動作に依存しないことをお勧めします。 初期化フェーズ中の失敗 Init フェーズ中に関数がクラッシュするかタイムアウトすると、Lambda は INIT_REPORT ログにエラー情報を出力します。 例 — タイムアウトの INIT_REPORT ログ INIT_REPORT Init Duration: 1236.04 ms Phase: init Status: timeout 例 — 拡張が失敗したときの INIT_REPORT ログ INIT_REPORT Init Duration: 1236.04 ms Phase: init Status: error Error Type: Extension.Crash Init フェーズが成功した場合、 SnapStart または プロビジョニングされた同時実行数 が有効になっていない限り、Lambda は INIT_REPORT ログを出力しません。SnapStart 関数およびプロビジョニングされた同時実行関数は常に INIT_REPORT を出力します。詳細については、「 Lambda SnapStart のモニタリング 」を参照してください。 復元フェーズ (Lambda SnapStart のみ) SnapStart 関数を初めて呼び出し、その関数がスケールアップすると、Lambda は関数をゼロから初期化するのではなく、永続化されたスナップショットから新しい実行環境を再開します。復元後の ランタイムフック がある場合、コードは Restore フェーズの最後に実行されます。ユーザーには、復元後のランタイムフックの所要時間分の料金が請求されます。タイムアウト制限 (10 秒) 内にランタイムがロードされ、復元後のランタイムフックが完了される必要があります。その時間を超えると、SnapStartTimeoutException が発生します。 Restore フェーズが完了すると、Lambda が関数ハンドラーを呼び出します ( 呼び出しフェーズ )。 復元フェーズ中の失敗 Restore フェーズが失敗した場合、Lambda は RESTORE_REPORT ログにエラー情報を出力します。 例 — タイムアウトの RESTORE_REPORT ログ RESTORE_REPORT Restore Duration: 1236.04 ms Status: timeout 例 — ランタイムフック障害の RESTORE_REPORT ログ RESTORE_REPORT Restore Duration: 1236.04 ms Status: error Error Type: Runtime.ExitError RESTORE_REPORT ログの詳細については、「 Lambda SnapStart のモニタリング 」を参照してください。 呼び出しフェーズ Next API リクエストに応答して Lambda 関数が呼び出されると、Lambda はランタイムと各拡張機能に Invoke イベントを送信します。 関数のタイムアウト設定は、 Invoke フェーズ全体の所要時間を制限します。例えば、関数のタイムアウトを 360 秒に設定した場合、関数とすべての拡張機能は 360 秒以内に完了する必要があります。独立した呼び出し後フェーズはないことに注意してください。所要時間は、すべての呼び出し時間 (ランタイム + 拡張機能) の合計であり、関数とすべての拡張機能の実行が終了するまで計算されません。 呼び出しフェーズはランタイム後に終了し、すべての拡張機能は Next API リクエストを送信して、完了したことを示します。 呼び出しフェーズ中の失敗 Lambda 関数が Invoke フェーズ中にクラッシュするかタイムアウトすると、Lambda は実行環境をリセットします。次の図は、呼び出しに失敗した場合の Lambda 実行環境の動作を示しています。 前示の図では次のとおりです。 最初のフェーズは、エラーなしで実行される INIT フェーズです。 2 番目のフェーズは、エラーなしで実行される INVOKE フェーズです。 ある時点で、関数が呼び出しに失敗したとします (一般的な失敗の原因には、関数のタイムアウト、ランタイムエラー、メモリの枯渇、VPC 接続の問題、アクセス許可エラー、同時実行制限、さまざまな設定の問題などがあります)。考えられる呼び出し失敗の全リストについては、「 Lambda での呼び出しに関する問題のトラブルシューティング 」を参照してください。 INVOKE WITH ERROR というラベルの付いた 3 番目のフェーズは、このシナリオを示しています。これが発生すると、Lambda サービスはリセットを実行します。リセットは Shutdown イベントのように動作します。まず、Lambda はランタイムをシャットダウンし、登録された各外部拡張機能に Shutdown イベントを送信します。イベントには、シャットダウンの理由が含まれます。この環境が新しい呼び出しに使用される場合、Lambda は次の呼び出しとともに拡張機能とランタイムを再び初期化します。 Lambda のリセットでは、次の初期化フェーズより前の /tmp ディレクトリコンテンツはクリアされないことにご注意ください。この動作は、通常のシャットダウンフェーズと一致しています。 注記 AWS は現在、Lambda サービスに変更を実装しています。これらの変更により、AWS アカウント のさまざまな Lambda 関数によって出力されるシステムログメッセージとトレースセグメントの構造と内容にわずかな違いが生じる場合があります。 関数のシステムログ設定がプレーンテキストに設定されている場合、この変更は、関数の呼び出しに障害が発生した際に CloudWatch Logs でキャプチャされたログメッセージに影響します。次の例は、古い形式と新しい形式の両方でのログ出力を示しています。 これらの変更は今後数週間に実装され、中国および GovCloud リージョンを除くすべての AWS リージョンのすべての関数は、新しい形式のログメッセージとトレースセグメントを使用するように移行されます。 例 CloudWatch Logs ログ出力 (ランタイムまたは拡張機能のクラッシュ) - 旧形式 START RequestId: c3252230-c73d-49f6-8844-968c01d1e2e1 Version: $LATEST RequestId: c3252230-c73d-49f6-8844-968c01d1e2e1 Error: Runtime exited without providing a reason Runtime.ExitError END RequestId: c3252230-c73d-49f6-8844-968c01d1e2e1 REPORT RequestId: c3252230-c73d-49f6-8844-968c01d1e2e1 Duration: 933.59 ms Billed Duration: 934 ms Memory Size: 128 MB Max Memory Used: 9 MB 例 CloudWatch Logs ログ出力 (関数タイムアウト) - 旧形式 START RequestId: b70435cc-261c-4438-b9b6-efe4c8f04b21 Version: $LATEST 2024-03-04T17:22:38.033Z b70435cc-261c-4438-b9b6-efe4c8f04b21 Task timed out after 3.00 seconds END RequestId: b70435cc-261c-4438-b9b6-efe4c8f04b21 REPORT RequestId: b70435cc-261c-4438-b9b6-efe4c8f04b21 Duration: 3004.92 ms Billed Duration: 3117 ms Memory Size: 128 MB Max Memory Used: 33 MB Init Duration: 111.23 ms CloudWatch Logs の新しい形式には、 REPORT 行に status フィールドが追加で含まれます。ランタイムまたは拡張機能のクラッシュの場合、 REPORT 行に ErrorType フィールドも含まれます。 例 CloudWatch Logs ログ出力 (ランタイムまたは拡張機能のクラッシュ) - 新形式 START RequestId: 5b866fb1-7154-4af6-8078-6ef6ca4c2ddd Version: $LATEST END RequestId: 5b866fb1-7154-4af6-8078-6ef6ca4c2ddd REPORT RequestId: 5b866fb1-7154-4af6-8078-6ef6ca4c2ddd Duration: 133.61 ms Billed Duration: 214 ms Memory Size: 128 MB Max Memory Used: 31 MB Init Duration: 80.00 ms Status: error Error Type: Runtime.ExitError 例 CloudWatch Logs ログ出力 (関数タイムアウト) - 新形式 START RequestId: 527cb862-4f5e-49a9-9ae4-a7edc90f0fda Version: $LATEST END RequestId: 527cb862-4f5e-49a9-9ae4-a7edc90f0fda REPORT RequestId: 527cb862-4f5e-49a9-9ae4-a7edc90f0fda Duration: 3016.78 ms Billed Duration: 3101 ms Memory Size: 128 MB Max Memory Used: 31 MB Init Duration: 84.00 ms Status: timeout 4 番目のフェーズは、呼び出しが失敗した直後の INVOKE フェーズを表します。ここで、Lambda は INIT フェーズを再実行して環境を再び初期化します。これは、抑制された初期化と呼ばれます。抑制された初期化が発生した場合、Lambda は CloudWatch Logs で追加の INIT フェーズを明示的にレポートしません。代わりに、REPORT 行の期間に追加の INIT 期間 + INVOKE 期間が含まれる場合があります。例えば、CloudWatch で次のログが表示されたとします。 2022-12-20T01:00:00.000-08:00 START RequestId: XXX Version: $LATEST 2022-12-20T01:00:02.500-08:00 END RequestId: XXX 2022-12-20T01:00:02.500-08:00 REPORT RequestId: XXX Duration: 3022.91 ms Billed Duration: 3000 ms Memory Size: 512 MB Max Memory Used: 157 MB この例では、REPORT タイムスタンプと START タイムスタンプの差は 2.5 秒です。これは、報告された 3022.91 ミリ秒の期間とは一致しません。なぜなら、Lambda が実行した追加の INIT (抑制された init) が考慮されていないからです。この例では、実際の INVOKE フェーズでは 2.5 秒かかったと推測できます。 この動作に関するより多くのインサイトを得るために、 Telemetry API を使用して拡張機能のリアルタイムテレメトリデータにアクセスする を使用できます。Telemetry API は、抑制された初期化が呼び出しフェーズの間で発生するたびに、 phase=invoke の INIT_START 、 INIT_RUNTIME_DONE 、および INIT_REPORT イベントを発行します。 5 番目のフェーズは、エラーなしで実行される SHUTDOWN フェーズを表します。 シャットダウンフェーズ Lambda は、ランタイムをシャットダウンしようとする際、 Shutdown イベントを登録された各外部拡張機能に送信します。拡張機能は、この時間を最終的なクリーンアップタスクに使用できます。 Shutdown イベントは、 Next API リクエストに対するレスポンスです。 所要時間の制限 : Shutdown フェーズの最大所要時間は、登録された拡張機能の設定によって異なります。 0 ms – 登録された拡張機能を持たない関数 500 ms - 登録された内部拡張機能を持つ関数 2000 ms - 登録された外部拡張機能を 1 つ以上持つ関数 ランタイムまたは拡張機能が制限内で Shutdown イベントに応答しない場合、Lambda は SIGKILL の通知を使用してプロセスを終了します。 関数とすべての拡張機能が完了した後、Lambda は別の関数の呼び出しを想定して、実行環境をしばらく維持します。ただし、Lambda は数時間ごとに実行環境を終了し、ランタイムの更新とメンテナンスを許可します。継続的に呼び出される関数であっても、この終了は発生します。実行環境が無期限に保持されると想定すべきではありません。詳細については、「 関数にステートレスの実装 」を参照してください。 関数が再び呼び出されると、再利用のため、Lambda によって環境が解凍されます。実行環境の再利用には、次のような意味があります。 関数ハンドラーメソッドの外部で宣言されたオブジェクトは、初期化されたままとなり、関数が再度呼び出されると追加の最適化を提供します。例えば、Lambda 関数がデータベース接続を確立する場合、連続した呼び出しでは接続を再確立する代わりに元の接続が使用されます。新しい接続を作成する前に、接続が存在するかどうかを確認するロジックをコードに追加することをお勧めします。 各実行環境は、 /tmp ディレクトリに 512 MB と 10,240 MB 間を 1 MB 刻みで提供します。ディレクトリのコンテンツは、実行環境が停止された際に維持され、複数の呼び出しに使用できる一時的なキャッシュを提供します。キャッシュに保存したデータが存在するかどうかを確認するための追加コードを追加できます。デプロイのサイズ制限の詳細については、「 Lambda クォータ 」を参照してください。 Lambda 関数によって開始され、関数が終了したときに完了しなかったバックグラウンドプロセスまたはコールバックは、Lambda 関数が実行環境を再利用したときに再開します。コードのバックグラウンド処理またはコールバックは、コード終了までに完了させてください。 コールドスタートとレイテンシー Lambda が Lambda API を介して関数を実行するリクエストを受信すると、サービスはまず実行環境を準備します。この初期化フェーズ中、サービスはコードをダウンロードし、環境を起動して、メインハンドラーの外部で初期化コードを実行します。最後に、Lambda はハンドラーコードを実行します。 この図では、コードのダウンロードおよび環境の設定に関する最初の 2 つのステップは、頻繁に「コールドスタート」と呼ばれます。 この時間には課金されません が、全体的な呼び出し期間にレイテンシーが発生します。 呼び出しが完了すると、実行環境はフリーズされます。リソース管理およびパフォーマンスを向上させるため、Lambda はある期間中に実行環境を保持します。この間、同じ関数に対して別のリクエストを送信した場合、Lambda は環境を再利用できます。この 2 番目のリクエストは、実行環境が既に完全にセットアップされているため、通常はより迅速に終了します。これは、「ウォームスタート」と呼ばれます。 通常、コールドスタートは呼び出しの 1% 未満で発生します。コールドスタートの時間は 100 ミリ秒未満から 1 秒以上までさまざまです。一般的に、コールドスタートは本番稼働ワークロードよりも、開発およびテスト機能で一般的です。これは、通常、開発関数とテスト関数の呼び出し頻度が低いためです。 プロビジョニングされた同時実行によるコールドスタートの減少 ワークロードに予測可能な関数開始時間が必要な場合、レイテンシーを可能な限り最小限に抑えるため、 プロビジョニングされた同時実行数 が推奨されるソリューションです。この機能は実行環境を事前に初期化し、コールドスタートを減らします。 例えば、プロビジョニングされた同時実行数が 6 の関数には、事前ウォーミングされた実行環境が 6 つあります。 静的初期化の最適化 静的初期化は、ハンドラーコードが関数で実行を開始する前に発生します。これは指定する初期化コードであり、メインハンドラーの外部にあります。このコードはライブラリおよび依存関係のインポート、設定のセットアップ、他のサービスへの接続の初期化によく使用されます。 次の Python の例では、呼び出し中に lambda_handler 関数が実行される前に、インポート、モジュールの設定、初期化フェーズ中に Amazon S3 クライアントを作成する方法が示されます。 import os import json import cv2 import logging import boto3 s3 = boto3.client('s3') logger = logging.getLogger() logger.setLevel(logging.INFO) def lambda_handler(event, context): # Handler logic... 関数の実行前のレイテンシーの最大の原因は、初期化コードにあります。このコードは、新しい実行環境が初めて作成されたときに実行されます。呼び出しでウォーム実行環境を使用している場合、初期化コードは再度実行されません。初期化コードのレイテンシーに影響する要因には、次の内容が含まれます。 関数パッケージのサイズ (インポートされたライブラリと依存関係、および Lambda レイヤーの観点から)。 コードと初期化作業の量。 接続やその他のリソースの設定におけるライブラリやその他のサービスのパフォーマンス。 開発者が静的初期化レイテンシーを最適化するために実行できるステップは多数あります。関数に多数のオブジェクトと接続がある場合、単一の関数を複数の特化した関数にリアーキテクトできる場合があります。これらはそれぞれより小さく、初期化コードが少なくなります。 関数は、必要なライブラリと依存関係のみをインポートすることが重要です。例えば、AWS SDK で Amazon DynamoDB のみを使用する場合、SDK 全体ではなく単一のサービスを要求できます。次の 3 つの例を比較します。 // Instead of const AWS = require('aws-sdk'), use: const DynamoDB = require('aws-sdk/clients/dynamodb') // Instead of const AWSXRay = require('aws-xray-sdk'), use: const AWSXRay = require('aws-xray-sdk-core') // Instead of const AWS = AWSXRay.captureAWS(require('aws-sdk')), use: const dynamodb = new DynamoDB.DocumentClient() AWSXRay.captureAWSClient(dynamodb.service) 静的初期化は、関数が同じ実行環境に複数の呼び出しで接続を再利用できるように、データベース接続を開く場所としても最適である場合がよくあります。ただし、関数内の特定の実行パスでのみ使用されるオブジェクトが多数ある可能性があります。この場合、グローバルスコープで変数を遅延ロードすることで、静的初期化の時間を短縮できます。 コンテキスト固有の情報のグローバル変数は避けてください。関数に単一の呼び出しの有効期間にのみ使用されるグローバル変数があり、次の呼び出しでリセットされる場合は、ハンドラーにローカルな変数スコープを使用してください。これにより、呼び出し間でグローバル変数がリークされなくなるだけでなく、静的初期化のパフォーマンスも向上します。 ブラウザで JavaScript が無効になっているか、使用できません。 AWS ドキュメントを使用するには、JavaScript を有効にする必要があります。手順については、使用するブラウザのヘルプページを参照してください。 ドキュメントの表記規則 プログラミングモデル イベント駆動型アーキテクチャの作成 このページは役に立ちましたか? - 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https://www.sparkcapital.com/team-members/nabeel-hyatt | Nabeel Hyatt ABOUT Team Companies Nabeel Hyatt General Partner, Early For Nabeel Hyatt, product comes first, and everything else follows. He believes the technology that founders build, not the team’s pedigree or a big market size , says everything he needs to know about a company. “You can learn more about a team and how they see the world by simply experiencing their choices with the product than you ever could from a pitch,” he says. Nabeel has always been a maker. He started his first technology company at 16-years-old and spent the early part of his career as a serial entrepreneur, participating in his first IPO before the age of 25. His last company, Conduit Labs, was acquired by Zynga where he joined the leadership team through the hyper-growth of scaling from 200 to 2,000 employees in a few short years. In 2012, Nabeel joined Spark as a General Partner to open the firm’s San Francisco office. Drawing on his entrepreneurial background, Nabeel backs companies that use technology and design to build revolutionary user experiences . He believes that providing founders with an unwavering support system for bringing their vision to life leads to products that will transform the way people interact with technology in the future. “There is no startup playbook,” he says. “I don’t prescribe a way to build your company—each company is a unique opportunity to build a new type of culture that matches the founders, product, and their customers.” @nabeel https://nabeelhyatt.com/ https://gallery.so/nabeel https://hallwaychat.co Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies “Discord was just a few months from launch when we invested. But Jason had such a clear vision around the need for a social network built around tight, authentic relationships that were just hanging together and that felt both unique and universal.” Nabeel attended the Maryland Institute College of Art to study design. “Strangely, I learned more about startups from design school than when I studied computer science. It's all about challenging yourself to dig deeper.” “Silicon Valley in the ’90s was about finding ways to make the culture of engineering and sales work together. The next 10 years will be about finding ways to make design and product work with engineering.” Nabeel’s first experience with Postmates convinced him to invest when the company had just 10 employees. “My son broke a 101-degree fever, and I couldn’t leave to get Tylenol so I used Postmates. The Tylenol appeared in 20 minutes. It was totally magical for the time.” Nabeel led Cruise’s Series A—a year later GM bought Cruise for over $1B. “It was a crazy bold vision at the time, and it took an immense fortitude from Kyle and the team to actually bring self driving to reality. Since then, it has been a great priviledge for us to get to partner again on Bot Co." | 2026-01-13T09:29:30 |
https://uptimerobot.com/referral/?ref-header | Referral program | UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE UptimeRobot referral program . Get exclusive merch you can’t purchase anywhere. Refer to just two paying users to get your first reward. Get rewards now Exclusive rewards Join our global community of over 2.1 million users and enjoy exclusive rewards when you refer a friend. We've curated high-quality items you can wear or use daily—check out the rewards below. div; delay: 100; hidden: false, offset-top: 250"> UR Underwear 2 Referrals UR T-shirt 4 Referrals Corsair desk mat 6 Referrals Raspberry Pi 5 8GB 8 Referrals Noise Canceling Headphones 10 Referrals Trip to UptimeRobot Headquarters in Bratislava 20 Referrals Get rewards now How it works . Kickstart your journey with just a few clicks! Our referral program is hassle-free and only requires simple steps. 1. Create an account . Create a free account with us and start referring right away. Start earning rewards instantly by enabling the referral program in your dashboard. Create FREE account 2. Share your referral link . Locate your referral link in the Dashboard under your profile and in the referral section. You can link to any UptimeRobot page. You can use one of our social sharing functions to save time. 3. Get rewards . We’ll send your reward as soon as you reach a new milestone. Get rewards now Why users love referring UptimeRobot . Exclusive rewards . Join our global community of over 2.1 million users and enjoy exclusive rewards when you refer a friend. We've curated high-quality items you can wear or use daily—check out the rewards below. A Top-grade product . UptimeRobot is trusted worldwide for its uptime monitoring, and for good reason. It's simple, modern, and designed with the user in mind. Plus, we offer a lifetime FREE plan with up to 50 monitors! Simple referral process . Sharing a reliable tool should be effortless. Invite your friends or colleagues to use UptimeRobot via social media or email directly from your dashboard. You can track your progress and rewards with our easy-to-use progress bar. Get rewards now Get paid instead . Check our Affiliate program if you are more interested in monetary rewards. Get 20% LIFETIME commission by promoting the world's leading uptime monitoring service. Join Affiliate Program Trusted by many . Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Location-specific monitoring Response time monitoring Incident Management DNS monitoring Company . Pricing Blog Affiliate program Referral program Non profit & charities 🤲 Terms / Privacy Contact us We are hiring! Resources . Integrations API FAQs Help center Locations & IPs Comparisons Case studies Knowledge hub Roadmap Subnet calculator MX lookup Uptime calculator CrontabRobot Website change detection Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Register for FREE 🍪 This website use cookies. Learn more Decline all | Allow essential | Accept all | 2026-01-13T09:29:30 |
https://uptimerobot.com/free-tools/cron-expression-generator/?ref-header | CrontabRobot: Free Cron Expression Generator by UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE CrontabRobot: Free Cron Expression Generator . Create custom cron expressions for your scheduled tasks in seconds — no guesswork or manual syntax errors. Whether you're automating jobs daily, weekly, or at specific intervals, our tool helps you get it done fast and error-free. Monitor your cron jobs for free. Try UptimeRobot - get 50 cron monitors with instant alerts when something fails. Start monitoring for free Frequently asked questions . How do I use cron expressions? Cron expressions define when recurring tasks should run—like system backups, API calls, or data syncs. This tool helps you: Choose your format: Select either Standard (5-field) cron syntax (used by most Unix/Linux systems) or Quartz (6-field) syntax (used in Java-based schedulers). Edit each part of the expression: Manually enter values in each field or select from common presets/examples. Get a real-time preview & breakdown: As you edit, the tool highlights each part and explains what it does, along with upcoming run dates. Copy or generate expressions: Copy your custom expression, or generate a random one for testing. Whether you're scheduling simple jobs or advanced tasks in cloud environments, this tool helps you build cron expressions quickly and confidently. How do I use this generator to create my schedule? This tool simplifies cron expression creation. Just enter your desired values into the Minute, Hour, Day of Month, Month, and Day of Week fields. As you type, the tool provides a human-readable explanation and displays the exact "Next run dates" to confirm the schedule. When you're ready, click Copy to get your expression. I need a job to run every X minutes. How do I do that? Use the forward slash ( / ) to define step values. For example, to run a job every 15 minutes, enter */15 in the Minute field. The generator will produce the expression */15 * * * * . You can use this technique in other fields too—for example, */2 in the Hour field runs the job every 2 hours. I've copied my expression. Where do I paste it? The expression defines when the job runs. To make it do something, you must pair it with a command inside a cron file: 1. Open your server's terminal. 2. Type crontab -e and press Enter to edit your cron file. 3. On a new line, paste your cron expression, add a space, then type the full path to the script or command you want to run. 4. Save and exit the file. 5. The job will run at the specified times. What is the difference between this 5-field expression and a 6-field (Quartz) one? This generator creates standard 5-field cron expressions used in most Unix/Linux systems. Some systems—especially Java-based schedulers like Quartz —use a 6-field format that adds a "Seconds" field at the beginning. If your application requires the Quartz format, you can prepend a seconds value manually (e.g., 0 0 2 * * * for 2:00 AM). How can I check if my cron job is actually running? The most reliable way is to check the system log. In your terminal, run: For Ubuntu/Debian : grep CRON /var/log/syslog For CentOS/RHEL : grep CRON /var/log/cron This shows the history of cron executions, confirming whether your command was triggered. My cron job isn't running. What are the most common mistakes? Here's a quick troubleshooting checklist: Incorrect Path: Cron has a limited environment—use absolute paths for all files and commands. Missing Permissions: The script must be executable. Run: chmod +x /path/to/your/script.sh Unexpected Output: Cron emails any output by default, which can cause issues. Suppress output by appending: > /dev/null 2>&1 Where can I find more advanced examples and explanations? This tool is designed for quick generation and basic troubleshooting. For advanced cron syntax (e.g., ranges, lists, step values), complex scheduling, and real-world examples, check out our Ultimate Guide to Cron Expressions. Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Location-specific monitoring Response time monitoring Incident Management DNS monitoring Company . Pricing Blog Affiliate program Referral program Non profit & charities 🤲 Terms / Privacy Contact us We are hiring! Resources . 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https://uptimerobot.com/free-tools/uptime-downtime-calculator/?ref-header | Free Uptime Calculator & Downtime Cost Estimator | UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE Uptime & Downtime Calculator Every second of downtime can mean lost revenue, frustrated users, and damage to your brand. Our Uptime & Downtime Calculator helps you quickly determine how much downtime your site experiences based on your uptime percentage—or vice versa. Whether you're running a website, app, or critical online service, knowing your uptime is essential for reliability and customer trust. Uptime percentage SLA level Display Downtime Uptime Revenue (optional) Yearly Monthly Calculate Daily Downtime 0 min Weekly Downtime 0 min Monthly Downtime 0 min Yearly Downtime 0 min $ 0 Add values to calculate Downtime cost estimation $0 Hour Day Month Year Get notified when your website is down! No more lenghty downtimes. We will notify you via e-mail or SMS! Register for FREE Track up to 50 monitors! How to use the Uptime Calculator. Using our calculator is simple: Enter your uptime percentage – Most services aim for 99% uptime or higher. Enter the percentage you want to analyze. Select your time frame – Choose whether you want to calculate downtime for a day, week, month, or year. Get instant results – The tool will show you how much downtime corresponds to your uptime percentage. For example, if your service has 99.9% uptime, that means 8 hours and 45 minutes of downtime per year . Want to know the impact of increasing your uptime to 99.99%? Simply adjust the input and see the difference. Register for FREE What is an optimal amount of uptime? The ideal uptime percentage depends on the needs of your business and your customers' expectations. While 100% uptime is unrealistic, the goal is to minimize downtime to a level where it does not significantly disrupt operations or impact users. For most businesses, the following uptime percentages serve as benchmarks: 99.9% uptime ("three nines") – Suitable for general web hosting, SaaS platforms, and e-commerce businesses where occasional downtime is acceptable. 99.99% uptime ("four nines") – A better target for financial institutions, healthcare systems, and critical online services that require higher reliability. 99.999% uptime ("five nines") – The gold standard for mission-critical applications like telecom services and data centers, where even seconds of downtime can have major consequences. An optimal uptime level is one that balances cost and performance while ensuring an uninterrupted experience for users. If downtime leads to lost revenue or safety risks, a higher uptime target is necessary. Get 50 monitors with 5-minute checks totally FREE. Try UptimeRobot - the world’s leading website monitoring service! Start monitoring for free Frequently asked questions . What's uptime? Uptime refers to the percentage of time a system, server, or website remains operational and accessible. It's a key performance indicator for reliability and is typically measured as a percentage. For instance: 99% uptime means the service is available for 361 days per year, with about 3.65 days of downtime. 99.9% uptime means about 8.76 hours of downtime per year. 99.99% uptime reduces downtime to about 52 minutes per year. A higher uptime percentage means fewer interruptions, which is crucial for businesses that depend on continuous service availability. How to prevent downtime? Reducing downtime requires a combination of reliable infrastructure, proactive monitoring, and quick incident response. Choosing a dependable hosting provider with a strong service-level agreement (SLA) ensures stability. Implementing monitoring tools allows you to detect potential issues before they escalate. Redundancy, such as backup servers and failover systems, can keep operations running smoothly in case of failures. Optimizing your infrastructure to handle peak traffic and unexpected surges minimizes disruptions, while regular maintenance prevents avoidable system failures. A comprehensive disaster recovery plan can also help quickly restore service in case of an outage. How do you calculate downtime & uptime? The formula for uptime percentage is: Uptime (%) = [(Total time - Downtime) / Total time] × 100 To determine downtime from an uptime percentage: Downtime = (1 - Uptime) × Total time For example, if a service guarantees 99.9% uptime over a year (which is 525,600 minutes): Downtime = (1 - 0.999) × 525,600 = 526 minutes (or about 8 hours and 45 minutes) . Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . 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https://uptimerobot.com/free-tools/mx-lookup/?ref-header | Free MX Lookup Tool | UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE Free MX Lookup . Validate your domain’s MX records in seconds. Identify misconfigurations, verify server priorities, and guarantee smooth email delivery for your domain. Start monitoring for free MX Lookup . Check How does MX Lookup work? Just enter a domain name (e.g. example.com) and click “Check”. Our tool instantly scans the domain’s DNS records and returns all MX entries, including their associated mail servers, priority values, IP addresses, and TTL (time-to-live). Results are displayed in a clear, easy-to-read format, so you can quickly spot issues or confirm your email setup is working as intended. What are MX records? MX (Mail Exchange) records direct emails to your domain’s mail servers. They specify which servers are responsible for receiving emails and their priority order. Correct MX records are critical for making sure emails reach their destination. If they’re misconfigured, emails may bounce or fail to deliver entirely. Get 50 monitors with 5-minute checks totally FREE . Try UpTimeRobot - the world’s leading website monitoring service! Start monitoring for free Frequently asked questions . What does the priority value mean for MX records? The priority value determines the order in which mail servers are used. Lower numbers (e.g., 10) have higher priority and are tried first. If the primary server fails, emails are routed to the next server in line (e.g., 20). How can you find MX records for any domain? Use our free MX Lookup tool: enter the domain name, and we'll retrieve all MX records instantly. You'll get instant results without the need to sign up or provide any personal information. How do you interpret multiple MX records? Multiple MX records provide redundancy. If the highest-priority server is unavailable, emails will route to the next server in line. Make sure that all listed servers are properly configured to avoid delivery failures. Get your FREE account now, 50 monitors included! Try UpTimeRobot - the world’s leading website monitoring service! Start monitoring for free Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Location-specific monitoring Response time monitoring Incident Management DNS monitoring Company . Pricing Blog Affiliate program Referral program Non profit & charities 🤲 Terms / Privacy Contact us We are hiring! Resources . Integrations API FAQs Help center Locations & IPs Comparisons Case studies Knowledge hub Roadmap Subnet calculator MX lookup Uptime calculator CrontabRobot Website change detection Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Register for FREE 🍪 This website use cookies. Learn more Decline all | Allow essential | Accept all | 2026-01-13T09:29:30 |
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https://37signals.com/podcast/leaving-the-cloud-part-2/ | player#updateBigPlayControl"> Leaving the Cloud Part 2 — REWORK Skip to content The RE WORK Podcast A podcast about a better way to work and run your business, from 37signals . accordion#open">Subscribe to RE WORK Apple Podcasts Spotify Overcast Pocket Casts Radio Public RSS accordion#open">Explore the archive Basecamp Behind the Scenes Big Tech Customer Support DHH and Jason Fried Greatest Hits HEY Just For Fun Mailbags Privacy REWORK Revisited Remote Work Running a Calm Company Shape Up Small Business Buy RE WORK merch accordion#open">About the show RE WORK is a podcast about a better way to work and run your business, from 37signals — the makers of Basecamp , HEY , Fizzy , and ONCE . While the prevailing narrative around successful entrepreneurship tells you to scale fast and raise money, we think there’s a better way. We’ll take you behind the scenes at 37signals with co-founders Jason Fried and David Heinemeier Hansson and bring you stories from business owners who have embraced bootstrapping, staying small, and growing slow. RE WORK is proudly hosted by Buzzsprout Copyright ©2026 37signals. All rights reserved. accordion#open">Get in touch Have an idea for an episode? Want to share your story with us or ask Jason and David a question? Email us at rework@37signals.com or send us a video . Sending a video gives us permission to use it on the air. Operators are standing by! (Not really, but we promise to listen to every message.) ← All Episodes ← Prev Next → SEASON 2 - EPISODE 0055 - MAR 8, 2023 Leaving the Cloud Part 2 player#toggleBigPlay"> Listen now In October 2022, 37signals announced they would transition off cloud services in a post titled “Why We’re Leaving the Cloud.” Despite the advantages of the cloud, the downsides were too significant for the company. In this follow-up episode to Leaving the Cloud on REWORK , co-founder David Heinemeier Hansson and Director of Operations Eron Nicholson discuss the progress 37signals has made since they decided to leave the cloud. Listen in as they delve into the pros and cons of using the cloud versus owning your hardware and some of the misconceptions people have about cloud costs and expertise. Tune in as the pair shares insights from their experience running web applications at scale and offer advice, tips, and tools for startups and businesses looking to optimize their infrastructure. Join the discussion as they explore the importance of getting real about the costs of the cloud for small businesses. Show Notes 00:49 - David reflects on the progress made since the announcement to transition off of cloud services. And why their initial plan for help with the transition didn’t work for 37signals’ needs. 01:37 - How the experience with the failed deal to get help with the cloud transition reinforced the idea of why 37signals wanted to leave the cloud. 02:33 - David shares some tools that can be used to move out of the cloud, including Docker and Kubernetes. 04:21 - Why 37signals opted for a new tool they built called Kamal assist in their transition and their timeline for being entirely out of the cloud. 06:11 - Bleeding money: The $38,000 motivator to speed up the timeline and free up cash that could be better spent elsewhere in the business. 08:33 - The tools: Eron and David discuss the tools (Docker and Kamal) they’ve used to successfully move two apps, Tadalist and Writeboard, from the cloud to their new system and the template in place for moving the rest of their apps. 11:08 - David discusses the criticality ladder they have in place to prioritize their move off the cloud, beginning with the lowest criticality app (Tadalist) before moving on to higher criticality apps like Hey, which deals with email and must always be available to users. 13:23 - The app transition plan for the next few months. 13:58 - Eron explains the challenges of staffing up for a project of this magnitude. He also highlights how many of their current AWS-related processes will become streamlined once they have their own infrastructure. 16:00 - David shares what the cloud is great for, why it doesn’t work great for middle-range SaaS companies, and the main reasons for 37signals for bringing their infrastructure back in-house. 19:31 - Eron explains their advantage in moving back to their own infrastructure and why he hopes that their experience will encourage others to consider moving away from the cloud as well. 20:24 - Blowing the notion that the cloud is the only option to smithereens: David reflects on the lost knowledge of running your own hardware and the vendors who can help. 23:17 - Eron shares how you can lease from vendors like Deft, Digital Ocean, or Hetzner until it makes sense for you to buy your own servers. 23:46 - David discusses the importance of exploring alternatives to AWS, breaking the misconception that the cloud is the only option, and exploring the most cost-effective solution for your company. 26:04 - David responds to a comment suggesting they could have saved money by optimizing cloud costs and the possibly “crippling” variability of cloud costs that is a major concern for smaller companies—a risk eliminated by owning your own hardware. 27:57 - Eron explains how they worked to optimize their cloud spend using every single lever at their disposal within AWS, but despite all that effort, they still found that running their own hardware is more cost-effective than using the cloud. 28:48 - Do you have a question for Jason, David, or anyone at 37signals? Leave us a voicemail at 708-628-7850, and we might answer it on an upcoming show. Links & Resources Do you have a question for Jason and David? Send us an email or leave us a voicemail at 708-628-7850. Leaving the Cloud HEY World 37signals on YouTube The REWORK Podcast The 37signals Dev Blog @reworkpodcast on Twitter @37signals on Twitter Sign up for a 30-day free trial at Basecamp.com Transcript Kimberly (00:00): Welcome to REWORK, a podcast by 37signals about the better way to work and run your business. I’m your host Kimberly Rhodes. Back in October of 2022, 37signals co-founder and CTO, David Heinemeier Hansson let the world know that the company would be transitioning off of cloud services in a post titled “Why We’re Leaving the Cloud.” It’s been just four short months since we talked about it here on the podcast and things have been happening, so we thought it was time to share some of that progress. I’m joined by David along with Eron Nicholson, 37signals’ Director of Operations ,who joined us last time to talk about this topic. So, um, I have to be honest, I read all of your check-ins about this. I don’t fully understand it, but I know that this is very exciting. , tell me what’s going on. It’s been only four months, but I feel like a lot has happened. David (00:49): It’s actually crazy when you say it’s only been four months. To me it feels like it’s been like the nine months already, but maybe it’s because we’ve been working so intently on this and particularly not even the full four months. Really at the start of the year is where we kicked it into a different gear. We had originally a plan to get off the cloud by having someone help us with, uh, some of the software and some of the guidance on it. And that, uh, deal kind of just went sour a bit. Um, we found out we were not the kind of customer they usually sell to. They were selling to banks and military and governments and whatever. And when it came time to look at the pricing, the pricing was as you’d expect for something that sells to banks and military and whatever. Totally outta line for what we were looking for. (01:37): Um, but it was a really good experience because I think it really just anchored this notion, why are we getting outta the cloud? We’re getting outta the cloud in part because we want our independence. We want to be able to run our own stuff, everything it takes more or less, in order to serve our customers and to deliver these apps that we have. And we should not put crucial infrastructure in the hands of others in that way ever again. The cloud was that, and it has advantages. It’s, it’s not that, but the downsides are just too much for us. So at the beginning of the year we kind of finally hit the cold wall on that and we were left with like, okay, then what do we do? And we had a bit of a sort of a think on how to change this uh, direction and um, around the same time I’d been looking into Docker in general. (02:33): I mean Docker is this thing to, to package up applications into a neat little box that you can just put anywhere. And it’s been around forever. I mean I think almost a decade or something like that by now. And container technology is spread very far. But I have happily lived in a realm of ignorance more or less around that because we already had a good thing going. We had set these things up I hadn’t really bothered with in a long time. And then just before we hit that wall, I had spent several weeks just going deep on that for other reasons. And that’s when I thought like, what do we actually need? Do we need that much? Do we need this big honking system? It’s something called Kubernetes that we were gonna try to run ourselves. Kubernetes is what all the major cloud providers are running. (03:20): This is what the Amazons and the Googles and whatever of the world, they run that and it makes total sense for them. It’s actually really nice that the industry has come together around Kubernetes for that level. But we’re not that level. We’re not even close to that level. We barely exist in the same universe as that level. And this is something we harp upon all the time, in every other aspect of the business. Should we use whatever technology Facebook uses because Facebook uses it? No, very often we should use the opposite of that because the technology that’s right for a company of 50,000 is not the technology that’s commonly right for a company of 80. And this was exactly the same thing here. And thankfully Eron and his team had quite some trepidation about this plan we originally had. We’re just gonna run Kubernetes ourselves and, but there’s like, uh, there’s a lot of moving parts and we gotta do the upgrades thing and like the whole thing is gonna fall apart if we mess it up, right? (04:21): And that’s the thing about complexity. It gives you just these, this feedback that like, okay, if we get in too deep, I don’t know if we can get back to shore. We might be stuck out there and then we’re really in the shit. And we’ve had that experience once before. I think this was what, three or four years ago, we were on Google Cloud at the time and Google Cloud kind of just fell apart for a couple of days or a week or whatever. They had all sorts of network infrastructure issues and there was nothing we could do. In that moment, there was nothing we can do, which is about the worst feeling in the world when you run a service like this. I mean, you may mess things up yourself and I’m sure we will do that along the way, but at least we will mess it up ourselves and we at least we will have agency to set it right. (05:07): When you depend on someone else like that, you just can’t. And we flirted with getting into that situation ourselves, running Kubernetes ourselves. It was just not the right move. So long story short, we decided to go with a much simpler solution. Basically just docker, basic Docker and we instrument that now through a new piece of uh, technology that we built called Kamal, which is sort of an approach that we’ve honed for 15 years, I think. Um, there’s another tool we’ve been using to put Basecamp onto our servers because Basecamp never moved to the cloud called Capistrano. It’s basically that, but for the modern container world. We’ve been pulling home two apps already. We got another one coming next week. We are all in full throttle to make this cloud move happen as quickly as possible. And sort of the line in the sand we’ve drawn is we want to be fully out by the end of the summer. Kimberly (06:01): Oh my gosh. Okay. I feel like, I’ll have to go back cause I feel like when we first recorded the podcast we were like, this is probably gonna take years. With an S at the end. And since then we’ve escalated. David (06:11): Yes, there was definitely an escalation and part of it was realizing once we’ve made the decision that we were just gonna use basic Docker and I sort of personally just got really into it and have now spent several months deep immersed in it realizing, do you know what, this is not trivial. It’s not trivial at all to move this back, but it’s also not kind of mystery box magic science stuff. And once we’d done a couple of these and we’ve already done a couple of these moves, you could see the path. Like it wasn’t hazy anymore. It was quite hazy when we talked last time. We’re like, we’re probably gonna go with this vendor and we’re gonna try to run Kubernetes ourselves. We’ve never done that. Like, lot of moving unknown parts and like who knows how long that’s gonna take. But once we had this kind of clear path built on simple tools that we understood and have used for years using techniques that we’ve used for years, it became a lot less scary and a lot less uncertain. (07:14): And then the other thing happened. Um, Eron reminded me how much money we were spending on the cloud per week. What’s really interesting is that that was the trigger for me. I knew what we were spending millions every year, but when you boiled that number down to, it cost us $38,000 per week in the cloud right now, I couldn’t get that number outta my head. I was like, wait, what? So if we do this two weeks slower than otherwise, that’s almost 80 grand if we do this a month slower. Holy shit, that’s a lot of money. Eron and and team’s been amazing at working on this. Like I was just like, okay, I can’t think of anything else until that number’s zero or if not zero then not in the same ballpark. Like there’s, I mean for us, I mean we’re a relatively large company and we have a lot of customers. $38,000 a week is just an enormous amount of money. And there’s very few other levers that I can move or help move in the business that’ll produce $38,000 a week just like that. I know how hard it is to get more customers. I know how hard we work on that side and amazing work going on there, but like producing like $38,000 a week in your business, like that’s a lot. Kimberly (08:33): Yeah. So talk me through, um, both of you, David and Eron, kind of where we started. I know you guys were very selective on which products you were gonna move first, like a a particular order. Tell us about that and then also a little bit more about the cost savings. Eron (08:48): Yeah, so we have, uh, we’ve moved a very small app called Tadalist which was I think created even before Basecamp. Uh, I’m not a hundred percent sure on that, but… David (08:58): Right after. 2005. Eron (09:01): Right after? Yeah, so very simple app that is just to-do lists, uh, still has people that use it, amazingly to this day. They, they’re not paying customers, but we’ve heard from a few people, uh, who still use it. And that is always the canary that we use when we move things. So that was the first app that went to the cloud, uh, back in the day and it’s the first one to come back after that. We’ve moved an app called Writeboard, which is used by some other apps. It’s used by the original Basecamp Classic and Backpack. It’s integrated into them, but it isn’t a real standalone app. And so we’ve, we’ve moved those two successfully so far. We hit a few bumps in the road on both of them that we were able to, to smooth out pretty quickly, but they both went, they both went really well and they set a path forward for moving the rest. (09:53): And, and that’s the thing that I think is really interesting about it for us doing it this way is that they’re now moved and they’re more or less independent and stood up, and they set a template that we can use to move the rest of the stuff and each of them will be independent moves on their own that can proceed a pace and can proceed, uh, with some parallelism versus what we were going to do before with Kubernetes was going to be, you know, a, a continuing move into this centrally managed cluster, uh, which had a lot of unknowns for us and Kubernetes was definitely the right choice when we moved to the cloud. And it’s, I think, the right choice if you wanna run your apps with someone else running your clusters. But I still remain very skeptical that it was ever gonna be the right choice for us to run by ourselves with a company and a team of our size. And the thing that made me realize the path that we really needed to take was thinking about going back in time to when we first started this journey to the cloud, which was in 2016. Would we, if we could go back in time right then would the end result have been us running Kubernetes by ourselves? And I think the answer is a hundred percent no. There’s no way. David (11:08): I think what’s so neat about this setup where we have this long history of apps, we have been in business for 20 years. We have a lot of what other people called somewhat despairingly, legacy app. I think of legacy app as trophy apps, right? Like if you think of a a race team, they have like a trophy case of like, oh, in, in 1972 this is what they won. This is what Tadalist feels like to me. It’s like a trophy that’s there in 2005. That is 18 years ago we put this thing into the world. And do you know what? We’re still running it. So that’s just amazing. But then it also, as Eron says, gives us this canary, which I like to call the criticality ladder. We start at the absolute lowest criticality, Tadalist is the app that’s 18 years old, like literally has not been developed in like 18 years or maybe 17 years. (11:58): We shut it off for new signups maybe 12 years ago or something like that. There’s still an amazing, I think a thousand people a week or something interact with their list. Maybe it’s a little less now, but that was what it was last. But they don’t pay us. So I feel like the contract is a little different. Like if Tadalist, which is mostly for your personal to-do lists, um, has 15 minutes of an outage or half an hour or even two hours, I don’t feel like we’re violating a deep trust here. So we can start with that. And as, um, Eron says, we had a couple of, uh, small hiccups, nothing major, but a couple of small hiccups that took a couple minutes to resolve and we’re learning from that. But that’s okay. If we’ve done that on, Hey, we’re like, all right, it’s gonna be offline for 20 minutes. (12:47): You can’t get to your flight information on the way to your gate. Uh, that’s gonna be a problem, right? Hey is super high criticality. Hey is the highest criticality application we run. Interestingly enough, even though Basecamp actually makes us more money, I feel personally that Hey has the highest criticality because if you are in a given situation, you can’t get to your email and you must get to your email. That’s high stakes. So that’s why we, we tackle Hey after we’ve done several of these other lower criticality apps and I think that’s been, uh, working out really well. Kimberly (13:23): Okay, so Tadalist has come home, right Board has come home. What’s next on the list? Eron (13:28): Next up is going to be Backpack, which is another one of these, these, uh, legacy apps that exist in a suite along with Basecamp Classic and Campfire and Highrise. So Backpack will be hopefully next week. That is our, our goal. Although if, you know, if things happen and we’re not ready, we’ll push it. But uh, that is hopefully the next one. Um, and then we’re going to start working on Campfire will be the next one to likely go and, and Basecamp Classic and Hey are the ones that we’re gonna work on over the next few months. Kimberly (13:58): My question, Eron, for you, is about staffing and your team, cuz clearly you guys are like all hands on deck with this move. How has that worked out? I mean, you haven’t hired new people to make this happen, work hasn’t just stopped on the other things that they were doing. How are you managing all this? Eron (14:16): We haven’t hired directly, but we did hire at the end of last year, we brought on three new people and it’s actually very convenient timing because they, they all just hit their three-month point and it takes more than that. It’s, it’s gonna take another probably three to six months for them to be fully on board on the team. Our team has far and away the longest onboarding process in the company, but they’re at the point now where they can contribute and they will be contributing to this project going forward. So that, that’s super helpful. Um, the rest of the team, it’s really about refocusing and putting aside some work that maybe doesn’t necessarily need to be done, but there’s actually another interesting component to this that I’ve realized over the past couple weeks especially, is that there’s a huge amount of work that my team does around operating our services in AWS that is going to go away and it’s a pretty major drain on our time. (15:11): We have to deal with incidents and we’ll have to deal with that at home as well. But, uh, the bigger thing is, is wrangling the cloud spending. We write these cloud spending reports every month or two and they take significant time and not only writing the reports, but doing the work behind the scenes to make sure that, that our spend is as little as it can be takes significant resources. Uh, the other thing that that takes a lot of resources is AWS mandates upgrades all the time to a lot of their services, which isn’t a bad thing. A lot of these are security driven and, and everything like that, but we’re on this AWS upgrade treadmill a lot of the time where we have to constantly do maintenances to upgrade their Kubernetes clusters, their database clusters and all of that. So it’ll be nice to be a little more streamlined and not have to work on that stuff all the time. David (16:00): And I think that is really the second part of the key reason of why we’re coming home. One thing is that the cloud cost was just ridiculous. Once you sort of do all the math as we’ve now done actually reduce the down, I had a post about how we were gonna save $7 million over the next five years doing the napkin math on how much are we gonna spend at home, how much we’re gonna spend in the cloud. And you go like, wow, like a million here and a million there. That adds up to real money. So that was the one part of it that was probably the impetus of it, but almost as important was the realization that, as Eron says, we’ve been in the cloud, sort of proper, since '16. I mean we’ve used S3 much longer than that, but proper in the cloud since '16. (16:44): It never delivered on its fundamental promise that it was gonna be significantly less work to operate the kind of apps that we operate in the cloud than it is to operate them on our own hardware. And now I’ve written a lot about this recently, so I get to interact with a lot of people who, who still seem to believe this, who still seem to believe that if you’re in the cloud, there’s no work, there’s like all the operation work, it just disappears and like I’m only half watching the team as they go. Eron is in it every day as he says, that’s just not true. There’s all this work you have to do all the time on someone else’s schedule to keep up with the upgrades and one, and it’s all work that has to happen. I’m, we’re not saying like it’s bad, it’s not bad that you upgrade your services, you have to do that anyway. (17:32): It’s just that it’s not that different or at least it’s not significantly less work. We can’t do what we want to do with our apps with like half the operations team just because we’re in the cloud. It does not work like that at all. And then the equation really falls apart when you first go, well, it’s way more expensive. Wait, wait, wait, $7 million over five years more expensive and there’s no cost savings in terms of the team who have to run it. Now, I will caveat at this as I always do, is that is not true if you have a hugely spiky service. If you are a shop that like twice a year gets a hundred times as much traffic as you do the rest of the year, cloud is amazing. That’s Amazon’s original reason for conjuring AWS into existence that twice a year they get way more traffic than they do the rest of the year, which means they have all this unused capacity they should resell. (18:27): Wonderful, great idea, real breakthrough. And then there’s the, the low end, right? Like we don’t even have enough computing needs to fill a single server or we can use these fully managed, um, systems that don’t require that much maintenance and the cost doesn’t matter. Like we’re talking about a few thousand dollars here, whatever. It’s just not a big deal. So those two ends still exist. Cloud is still great for that, although you gotta do it sort of smart. You, you go in early like new stardom, you’re like, oh, then we use all these services then boom, you wake up one morning and you’re spending the big bucks and you’re just locked in. You cannot get out because you’ve gone serverless this and serverless that and blah blah proprietary services. So caution on that. But for us, for the median size, for the thousands of software companies, SaaS companies in particular who are in this middle range where they’re spending real money, big money on the cloud, yet not being able to get fewer people to, to run it, man, the equation just looks so outta whack when you run the numbers. Eron (19:31): I’ll say one piece of this that makes it perhaps easier for us than other folks who might be in our sort of situation is that we never stopped doing it in the data center. We have never moved fully to the cloud. Basecamp three, our flagship, Basecamp four, our flagship never went to the cloud. So we’ve never stopped and lost the expertise or the muscle memory to run things in the data center. And that doesn’t exist for a lot of organizations. And I think that’s, that’s one thing that is interesting going forward is, uh, you know, what, what organizations are still going to know how to do this outside of the context of the cloud. And so I think that’s one thing that’s interesting with Kamal is it’s is a vastly simpler way to deploy things on your own hardware. And if we can show that to people and you know, perhaps build back some of that expertise, then we might have a more compelling way for people to leave the cloud. David (20:24): I think this is, this is so huge. And it’s so fascinating when you’ve been in the business so long that I remember and now it sounded like a really old person, right? Like I remember when the cloud first arrived. I remember when the cloud first arrived, and I remember when that was the new thing that no one knew how to do and everyone ran their own stuff and it was like, eh, I don’t know. I mean that’s a whole different skillset, blah, blah, right? And now we’ve just like done a whole generational churn where there are people today working companies who’ve never touched, virtually or otherwise, their own hardware. They’ve always gone through these abstractions and there’s something real lost there. And I really want, I mean mean I feel like I’m on an, an mission to break down the misconception that owning your own hardware is this weirdly exotic thing that’s actually super duper hard and only wizards of old are able to do that. (21:18): That is just not true. Not only can you do this, there’s so many vendors out there who are willing to help you. I mean, one misconception when we said we’re coming home from the cloud was like, so you’re gonna build your own data center. It’s like, what? No, we’re not getting into construction. We’re not gonna figure out how to run plumbing in a large building to, I don’t even, what? Like how are we even having this discussion? That’s not what we do. We have eight racks across two data centers. Like that’s something you pay someone to do, which is how it was the whole time. But it’s almost like this lost knowledge, like we’re ancient Egypt here. And then like how did they build those pyramids? Like, hey, we’re here, we’re still alive. Like, it’s not like multiple generations ago. The context is still there and there are companies to help, like we’ve uh, used Deft for 14 years or something like that to help us manage the hardware that is, we never, we don’t receive the hardware. (22:12): E ron just placed this mammoth order for a gazillion um, CPU cores, it’s gonna arrive and Eron’s not gonna touch it. Like there are people on site at the data centers that we pay to unwrap the boxes, to put the machines into the racks, connect power and connect, um, connectivity to him. And then we see boom and IP appear online, which is not that different from the cloud. Like, so the experiences are acting not that different. There’s some differences and you do have to know some of this stuff, especially around networking and topologies and da da da. But you can get help with a lot of it. And the likes of, of Dell, who we’ve worked with really closely on this has those, has just been amazing. I mean, figuring out exactly what CPU should we buy, what do you see other customers do? There’s a bunch of stuff there that’s really broadly distributed is not exotic at all. Like that’s just what they do. Deft this is what they do. They help companies like ours make the hardware work. Dell, they built these things, they’ve been building them for a long time. So this notion that like cloud is now the only thing that you can do, that’s the one we need to blow to smithereens. Eron (23:17): Yeah, I think there’s an even lower, uh, expertise way of doing it as well, which is you can very well get from Deft or from Digital Ocean or from Hetzner, a block of compute that you can use on your own. And you never have to buy the hardware. Y ou can lease the hardware until you get to such a point where it makes sense for you to buy, you know, two or four servers and have a quarter of rack or something like that. You can, you can get in on the very low end without a ton of expertise in these things. And then as you need it, you build it as you go. David (23:46): This is one of the reasons by the way, I just, this is demo on Kamal, which is the new tool we use to deploy these things. And I used, uh, Hetzner, which is a German company. Um, that’s awesome. And I very rarely hear about them in the conversation about cloud. Whenever people talk about cloud, they talk about Amazon, they talk about Google, maybe they talk about Microsoft, um, and a couple of other large ones. There’s a bunch of others who will sell you or lease you some hardware and make it available in like cloud familiar terms Digital Ocean is another one as Eron mentions in the, in the U.S. but Hetzner in Europe I think is, is really an awesome one. There’s another one called uh, OVH, which is a French company. It’s also awesome. (24:26): Some of these have a really interesting model where they will allow you to use the cloud stuff where you just rent some computing and connect it straight to, hey, I just need one box I’ll buy, or two boxes or three boxes, some redundancy, a couple of boxes that I own. It sits in the data center right next to all this cloud capacity that I can use. That’s not for us. I mean we have high enough needs that we need like a ton of servers, we don’t really need that. But there are a lot of options here. I really just wanna break up this myopia that exists at the moment. Where 80% of people when they say cloud, they actually just mean AWS. And again, Jeff Bezos owns a slice of this company. I think what he’s built with AWS is amazing. It’s turned the industry upside down. (25:09): There’s a ton of good stuff that’s come from this, so don’t hear us going like, we’re getting outta the cloud. It’s like the cloud thing’s the worst thing ever. It doesn’t work for anyone anytime. Total nonsense. It has wonderful uses. And then there’s also just a very large slice in the middle of the spectrum where it’s like, yeah, it doesn’t make sense, it doesn’t add up, the math isn’t there and you should not be afraid of admitting that. Run your own math. Talk to someone like Dell, talk to someone like Deft, like, oh, what would it take? We’re currently spending like a million dollars on AWS a year. Like could we spend 200 grand instead? That’d be nice, right? Especially right now, especially in this environment, everyone is getting the squeeze the economy is, uh, wobbling, uh, startups are having trouble raising new funds. Before you go laying off people, make sure your damn servers are uh, straight. Make sure you’re not, uh, fiddling away all that, uh, payroll on a bunch of rental servers. Kimberly (26:04): Okay, David, since you brought up your YouTube video that you did on Kamal, I’ll link to it in the show notes, but I wanna pull up a comment that somebody wrote on that post to get your thoughts on it. Someone said, I think your move off the cloud is likely dubious. You could have probably saved a ton of money by cost optimizing. We talked about this a little bit in the last podcast episode. I don’t know if you saw that comment, I wanted you to respond to it. David (26:25): Yeah, I’ve seen that comment about 5,000 times as we’ve gone through this. I’ve posted a bunch of these articles on LinkedIn as well and you see it as well. And people have these misconceptions like, oh, oh really? You can optimize your cloud spend. What do you think we’ve been doing for the last like years as Eron talked about, like this is a lot of the cloud work is actually keeping costs in control because costs can spiral out of control in about five minutes. If you do not keep a careful watch on the spend, it can just go bananas. You can forget that you started this wild server and it’s just running at hundreds of dollars a day. I heard these stories all the time where, um, especially for smaller companies, one of the reasons they want to exit the cloud is that they don’t want that variability. (27:07): They don’t want suddenly to wake up like, oh, here’s an extra $50,000 bill. That does not happen if you run in your own hardware. If you run in your own hardware, you may run out of capacity. You service might stutter a bit, but you’re not gonna be hit by a crippling bill. So we have already optimized our spend out the wazoo. We have bought these long things called reserve instances that run for a whole year where you reserve your capacity. We have private pricing for S3, we have enterprise agreements, we have leverage in terms of Jeff Bezos being an owner, we have everything on there. I would actually go as far as to say we are probably in the top 5%, if not top 1% most optimized cloud bills. That is why it’s only $3.2 million and not eight. Eron (27:57): Yeah. And and we lived this journey. We went down this whole path, right when we first went to the cloud, it was about making it work and then making it fast. And we made it really expensive in the process of doing that. It was, it was, I don’t remember exactly how much, but it was probably double what the bill is now when we first went and then we looked and we were like, oh, holy crap, we gotta do something about this. And, and we optimized it over months and years and have been using every single lever at our disposal within AWS. We, we talk to aws, they have experts who, who help you do this. Although they make it a little difficult, I think. But yeah, we, we have optimized it literally as much as our team possibly can. And we track it, like I mentioned earlier, on a month to month basis to make sure that we’re not missing anything and this is what we’re left with. Yeah, Kimberly (28:48): I knew that was gonna be the answer and I knew it’d get you fired up. So I wanted to wrap with that. REWORK is a podcast from 37signals. You can find show notes and transcripts on our website at 37signals.com/podcast. And as always, if you have a specific question for Jason, David, or Eron about a better way to work and run your business for anything cloud related, leave us a voicemail at 708-628-7850 and we just might answer your question on an upcoming show. player#setup timeupdate->player#update play->player#updateAllPlayControls pause->player#updateAllPlayControls"> player#seek"> player#skipBack" aria-label="skip 30 seconds back"> player#togglePlayPause pause->player#updatePlayControl play->player#updatePlayControl" aria-label="play"> player#skipForward" aria-label="skip 30 seconds forward"> This is an episode title 00:00 / 00:00 | 2026-01-13T09:29:30 |
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https://cloudflare.com/zh-tw/banking-and-financial-services/ | 銀行業和金融服務領域的數位化轉型 | Cloudflare 註冊 語言 English English (United Kingdom) Deutsch Español (Latinoamérica) Español (España) Français Italiano 日本語 한국어 Polski Português (Brasil) Русский 繁體中文 简体中文 平台 全球連通雲 Cloudflare 的全球連通雲提供 60 多種網路、安全性和效能服務。 企業 適用於大中型組織 小型企業 適用於小型組織 合作夥伴 成為 Cloudflare 合作夥伴 使用案例 實現應用程式現代化 加速效能 確保應用程式可用性 最佳化 Web 體驗 實現安全現代化 VPN 替代 網路釣魚防護 保護 Web 應用程式和 API 實現網路現代化 咖啡店網路 WAN現代化 簡化企業網路 CXO 主題 採用 AI 在工作團隊與數位體驗中運用 AI AI 安全性 保障自主式 AI 與生成式 AI 應用程式的安全 資料合規性 簡化合規性並最大程度降低風險 後量子加密 保護資料並滿足合規性標準 產業 醫療保健 銀行業務 零售 遊戲 公共部門 資源 產品指南 參考架構 分析報告 交流 活動 示範 網路研討會 研討會 請求示範 產品 產品 工作區安全性 Zero Trust 網路存取 安全 Web 閘道 (SWG) 電子郵件安全 雲端存取安全性代理程式 應用程式安全性 第 7 層 DDoS 防護 Web 應用程式防火牆 API 安全性 機器人管理 應用程式效能 CDN DNS Smart Routing Load balancing 網路與 SASE 第 3/4 層 DDoS 防護 NaaS/SD-WAN 防火牆即服務 網路互連 方案與定價 Enterprise 方案 小型企業方案 個人方案 比較各項方案 全球服務 支援和成功搭售方案 最佳化的 Cloudflare 體驗 專業服務 專家主導的實作 技術帳戶管理 專注於技術管理 安全營運服務 Cloudflare 監控和回應 網域註冊 購買和管理網域 1.1.1.1 免費的 DNS 解析程式 資源 產品指南 參考架構 分析報告 產品示範和導覽 幫我選擇 開發人員 文件 開發人員庫 文件和指南 應用程式示範 探索可以建置的內容 教學課程 逐步建置教學課程 參考架構 圖表和設計模式 產品 人工智慧 AI Gateway 觀察、控制 AI 應用程式 Workers AI 在我們的網路上執行 ML 模型 運算 Observability 記錄、指標和追蹤 Workers 建置、部署無伺服器應用程式 媒體 Images 轉換、最佳化影 像 Realtime 建置即時音訊/視訊應用程式 儲存空間與資料庫 D1 建立無伺服器 SQL 資料庫 R2 儲存資料，無需支付高昂的輸出費用 方案與定價 Workers 建置和部署無伺服器應用程式 Workers KV 適用於應用程式的無伺服器鍵值儲存 R2 儲存資料，無需支付高昂的輸出費用 探索專案 實際客戶體驗 30 秒 AI 示範 快速入門指南 探索 Workers Playground 建置、測試和部署 開發人員 Discord 加入社群 開始建置 合作夥伴 合作夥伴網路 藉助 Cloudflare 實現成長、創新並滿足客戶需求 合作夥伴入口網站 查找資源並註冊交易 合作夥伴類型 PowerUP 計畫 在發展業務的同時保障客戶連線與安全 技術合作夥伴 探索我們的技術合作夥伴與整合商 全球系統整合者 支援無縫的大規模數位轉換 服務提供者 瞭解我們的重要服務提供者網路 自助代理計畫 管理客戶的自助帳戶 點對點入口網站 針對您網路的流量深入解析 尋找合作夥伴 強化您的業務 - 與 Cloudflare Powered+ 合作夥伴聯繫。 資源 交流 示範 + 產品導覽 隨需產品示範 案例研究 利用 Cloudflare 推動成功 網路研討會 深入討論 研討會 虛擬論壇 資源庫 實用指南、藍圖等 報告 Cloudflare 研究的見解 部落格 技術深入探討和產品新聞 學習中心 教育工具和操作說明內容 建置 參考架構 技術指南 解決方案 + 產品指南 產品文件 文件 開發人員文件 探索 theNET 數位企業戰略見解 Cloudflare TV 創新系列和活動 Cloudforce One 威脅研究與營運 Radar 網際網路流量和安全性趨勢 分析報告 產業研究報告 活動 即將舉行的地區活動 信任、隱私權與合規性 合規性資訊與原則 支援 連絡我們 社群論壇 帳戶無法存取？ 開發人員 Discord 獲得協助 公司 公司資訊 領導層 認識我們的領導者 投資人關係 投資者資訊 新聞 探索最新新聞 人才招募 探索開放職位 信任、隱私和安全 隱私權 原則、資料和保護 信任 原則、程序和安全 合規性 認證與法規 透明度 政策與揭露 公眾利益 人道主義 Galileo 專案 政府 Athenian 專案 選舉 Cloudflare For Campaigns 健康 Project Fair Shot 全球網路 全球位置和狀態 登入 連絡業務團隊 確保全球銀行的數位現代化安全 藉助 Cloudflare，銀行能夠提供無縫、安全的數位體驗，同時滿足資料主權、監管和復原能力要求，從而實現創新和營運效率。 註冊以取得示範 獲取解決方案簡介 在擴大的威脅情勢中增強安全性 Cloudflare 利用最先進的加密以及 AI 驅動的威脅偵測和回應功能，提供強大的保護，來抵禦不斷變化的威脅，包括 Web、API 和網路漏洞。 雲端現代應用程式開發和創新 透過支援安全開發雲端應用程式、整合進階 AI 和機器學習以增強客戶體驗，推動實現數位現代化。 復原能力和大規模效能 確保高優先順序網路復原能力和效能以及全球覆蓋範圍，同時滿足 資料主權要求 ，從而提供更好的客戶體驗。 簡化監管合規性 滿足全球監管需求（包括 PCI、GDPR、DORA 和 NIS2），從而在保護敏感性資料和確保營運效率的同時保持合規性。 利用安全、可擴展且合規的數位解決方案，實現銀行業轉型 防禦新興網路安全威脅 銀行面臨著不斷變化的威脅情勢和更嚴格的監管需求。進階威脅情報和即時深入解析有助於銀行主動保護數位資產。透過為 20% 的全球 Web 流量提供服務並進行分析，我們擁有絕佳的可見性。因此，我們能夠每日封鎖數十億次威脅，並確保您的環境安全。此外，我們還可以利用我們的 Zero Trust 安全性阻止勒索軟體、網路釣魚和影子 IT，以及利用最先進的加密、DDoS 防護和用戶端保護阻止 Web 應用程式或供應鏈攻擊，從而幫助您防禦最常見的入侵手段。 瞭解更多 利用現代雲端應用程式開發推動創新 利用雲端現代應用程式開發，加速實現數位化未來和創新。將 AI、機器學習和巨量資料分析安全地整合到營運中，推動服務個人化和程序簡化。實現核心系統現代化，並發佈數位錢包等全新的金融產品，從而在所有接觸點增強客戶參與度。 瞭解更多 無與倫比的復原能力、效能和全球覆蓋 透過 280 Tbps 的網路處理能力和低延遲連線（只需大約 50 毫秒即可連線至 95% 的網際網路使用者），確保營運保持復原能力和高效能。使用我們的 Anycast 網路路由來提供全球備援，這可讓多台伺服器執行我們的所有服務，同時共用相同的 IP 位址並將要求路由至最近的伺服器。透過我們的多廠商啟用/待命實現第 3 層網路流量保護，支援雙廠商要求。即使在流量暴增期間，此網路強度亦可保證一致且可靠的服務，因此，您的客戶能夠享受不中斷的體驗。 瞭解更多 確保遵守全球法規 遵循 PCI DSS 4.0、GDPR、DORA 和 NIS2 等重要法規。Zero Trust 安全性方法可確保連續身分驗證和嚴格的存取控制，而應用程式安全性、強大的加密和資料遮罩可保護敏感性資訊。我們會協助您保持稽核就緒，最大限度減少風險並確保順利遵循監管法規。 瞭解更多 利用 Cloudflare 全球連通雲，提高保留率、降低風險和縮短回應時間 49% 透過應用程式效能提升，將客戶保留率提高了高達 49% 1 50% 將政策與合規性風險減少高達 50% 2 75% 將 DDoS 攻擊回應時間縮短了高達 75% 3 分析師認可 Cloudflare 在 Gartner® SSE Magic Quadrant™ 中榮獲表彰 我們認為，這一認可是對 Cloudflare「輕分支，重雲端」架構的肯定，證明了它能夠幫助有雲端意識的全球企業加速實現網路現代化。 閱讀報告 Cloudflare 獲評為 2023 年第四季度 Forrester Wave™ 邊緣開發平台「領導者」 Forrester Research, Inc. 基於 33 個類別（包括開發人員體驗、安全性以及定價靈活性和透明度），對邊緣開發平台市場上最重要的廠商進行了評估。 閱讀報告 Cloudflare 在 2024 年《GigaOm CDN 雷達報告》中獲評為「領導者」 Cloudflare 在 2024 年《GigaOm CDN 雷達報告》中獲評為「領導者」和「表現優異者」。GigaOm 雷達報告對分佈於一連串同心圓上的 19 個廠商解決方案進行了評估，廠商距離中心越近，其整體價值就越高。 閱讀報告 SoFi 藉助 Cloudflare 克服惡意流量 面對持續不斷的網路攻擊威脅，SoFi 的安全團隊於 2018 年開始尋找 Web 應用程式防火牆 (WAF)。他們需要一款易於使用的解決方案，不僅可以封鎖惡意流量，而且隨著時間的推移，隨著新威脅的出現，它還會成為智慧型解決方案。 使用 Cloudflare WAF，SoFi 的工程師幾乎沒花多少時間，便構建和部署了精細的規則集，並能夠將惡意流量減少 60% 以上，而且誤判率極低。 「最令我們驚訝的是，Cloudflare WAF 使用起來既簡便又直觀。我們的工程師上手速度極快。那些使用其他雲端提供者需要好幾天才能解決的問題，在使用 Cloudflare 後，只需幾個小時就搞定了。 現在，我們更廣泛地使用 Cloudflare 產品套件。並且與任何 Cloudflare 解決方案的整合都非常順利而輕鬆。」 贏得 35% 的《財星》雜誌 500 大企業的信賴 檢視所有案例研究 開始使用 Cloudflare 我們的專家將幫您選擇適合貴司的解決方案。 與專家討論 註冊以取得示範 來源： TechValidate by Survey Monkey， TechValidate Research on Cloudflare（TechValidate 對 Cloudflare 的調查研究） 同上 同上 開始使用 免費方案 小型企業方案 企業適用 取得建議 請求示範 連絡業務團隊 解決方案 全球連通雲 應用程式服務 SASE 與工作區安全性 網路服務 開發人員平台 支援 幫助中心 客戶支援 社群論壇 開發人員 Discord 帳戶無法存取？ Cloudflare 狀態 合規性 Cloudflare 合規資源 信任 GDPR 負責任 AI 透明度報告 檢舉濫用行為 公眾利益 Galileo 專案 Athenian 專案 Cloudflare for Campaigns Fairshot 專案 公司 關於 Cloudflare 網路分佈圖 我們的團隊 標誌與新聞資料包 多樣性、公平性和包容性 影響力/ESG © 2026 Cloudflare, Inc. 隱私權政策 使用條款 報告網路安全問題 信任與安全 Cookie 喜好設定 商標 | 2026-01-13T09:29:30 |
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https://wp.me/PcRw0W-1kt | WordPress.com 的无障碍性 产品 特色 资源 套餐与定价 登录 从这里开始 菜单 WordPress主机 WordPress for Agencies 成为联盟成员 域名 AI 网站生成器 网站构建器 创建一个博客 电子报 专业电子邮件 网站设计服务 电商版 WordPress Studio 企业级 WordPress 概述 WordPress主题 WordPress 插件 WordPress 样板 Google App 支持中心 WordPress新闻 企业名称生成器 徽标制作工具 发现新文章 热门标签 博客搜索 关闭导航菜单 从这里开始 注册 登录 关于 套餐与定价 产品 WordPress主机 WordPress for Agencies 成为联盟成员 域名 AI 网站生成器 网站构建器 创建一个博客 电子报 专业电子邮件 网站设计服务 电商版 WordPress Studio 企业级 WordPress 特色 概述 WordPress主题 WordPress 插件 WordPress 样板 Google App 资源 支持中心 WordPress新闻 企业名称生成器 徽标制作工具 发现新文章 热门标签 博客搜索 Jetpack 应用程序 了解更多 WordPress.com 的无障碍性 欢迎来到 WordPress.com 无障碍信息中心，获取关于 WordPress.com 平台、官方插件及主题市场的无障碍访问信息资源。 下文涵盖无障碍声明、合规性报告、最佳实践以及有用资源，可助您构建和维护无障碍网站。 本无障碍声明专门适用于 WordPress.com 平台，包括我们通过 WordPress.com 提供的官方主题与插件。声明不涵盖自托管 WordPress 网站，这类网站由站点所有者使用开源 WordPress 软件独立管理。 报告无障碍问题 我们对无障碍的持续承诺 无障碍标准与合规性 WordPress.com 的无障碍性 WordPress.com 插件和主题的无障碍性 创建无障碍的 WordPress.com 站点 其他资源 报告无障碍问题 我们致力于为每个人打造更加无障碍的 WordPress.com 体验。如果您遇到无障碍问题，请联系支持人员或发送电子邮件至 accessibility@wordpress.com 联系我们。我们会审阅所有反馈意见，并据此持续改进服务。 如果您对我们的回复不满意，根据《欧盟无障碍法案》，您有权向您所在国家的执法机构提出投诉。如需了解更多信息，请咨询您所在国家/地区的相关机构。 我们对无障碍的持续承诺 我们致力于按照 WordPress.com 平台采用的无障碍标准开发现代化软件。 无障碍标准与合规性 WordPress.com 采用国际通用的 《Web 内容无障碍指南》 (WCAG) 作为衡量我们网站及插件/扩展程序无障碍性的基准。 WordPress.com 的无障碍性 WordPress.com 致力于全面符合最新版 WCAG 的 AA 级标准。截至本声明发布之日，我们的网站已部分符合被纳入 EN 301 549 标准的 WCAG 2.1 的 AA 级要求，这意味着部分内容尚未完全达到这些无障碍标准。 我们的网站包含以下无障碍功能： 规范的标题结构，便于导航浏览。 全站支持键盘无障碍操作。 为图片添加替代文本。 足够的色彩对比度。 易读的字体大小和样式。 其他资源 我们的无障碍方法 Automattic 通过以下方法确保所有用户都能无障碍访问 WordPress.com： 将无障碍理念全面纳入内部政策体系。 为员工提供持续的无障碍专项培训。 建立规范化的无障碍质量保证机制。 定期开展无障碍合规性外部评估。 技术实施 WordPress.com 的无障碍性依赖于以下技术： 超文本标记语言 (HTML) 无障碍富互联网应用套件 (WAI-ARIA) 级联样式表 (CSS) JavaScript (JS) 已知限制 WordPress.com 的以下区域可能存在图片替代文本缺失、链接文本错误或标题不规范的问题： 用户评论。 使用第三方软件托管的内容。 2025 年 6 月之前创建的博文和页面内容。 评估方法 WordPress.com 的无障碍性已通过内部无障碍团队与质量保证团队的联合自评完成评估。我们采用自动化测试工具、人工审查及用户反馈相结合的方式，全面评估网站对 WCAG 2.1 AA 级标准的符合程度。 WordPress.com 插件和主题的无障碍性 我们正在持续优化插件与主题的无障碍性，并意识到部分功能仍有待改进。如果您发现 WordPress.com 官方插件或主题存在无障碍问题，请通过 上述方式 向我们反馈。 虽然我们鼓励开发者遵循最佳实践，但第三方开发的非官方插件/主题可能达不到我们的无障碍标准，因为我们无法对这些插件/主题的无障碍问题进行直接干预。我们建议站点所有者在站点上采用任何第三方插件/主题前对其进行测试。 创建无障碍的 WordPress.com 站点 构建无障碍网站将使所有用户受益，并有助于确保您的内容能够被尽可能多的人使用。我们建议您首先查阅 《Web 内容无障碍指南》(WCAG) ，并遵循包容性设计的最佳实践。 以下是关于提高站点无障碍性的一些建议： 商店设计 选用响应式且符合无障碍标准的 WordPress 主题。 保持足够的色彩对比度（至少 4.5:1）。 确保整个商店支持键盘完整操作功能。 为所有产品图片添加描述性替代文本。 采用规范的标题层级结构（H1、H2 等）组织内容。 无障碍性测试 使用自动化工具（如 WAVE ）进行初步扫描。 使用纯键盘操作进行测试。 使用屏幕阅读器（如 NVDA 或 VoiceOver）进行测试。 考虑由合格的专业人员进行无障碍性审计。 以上清单内容并非详尽无遗，且不构成法律建议。如需获取更详细的指导，请查阅 WCAG 资源 。 其他资源 WordPress Slack 社区 WordPress 无障碍聚会 WordPress 无障碍日 需要帮助优化您的 WordPress.com 商店的无障碍性？请访问我们的 WordPress.com 合作伙伴名录， 寻找专注无障碍开发的技术专家 。 我们致力于持续改进，以打造更具包容性的电子商务体验，在此过程中，我们重视您的反馈意见。本页声明与报告的上次更新时间为 2025 年 6 月 13 日。 WordPress.com 产品 WordPress主机 WordPress for Agencies 成为联盟成员 域名 AI 网站生成器 网站构建器 创建一个博客 专业电子邮件 网站设计服务 WordPress Studio 企业级 WordPress 特色 概述 WordPress主题 WordPress 插件 WordPress 样板 Google App 资源 WordPress.com 博客 企业名称生成器 徽标制作工具 WordPress.com 阅读器 可访问性 删除订阅 帮助 支持中心 使用指南 课程 论坛 联系 开发者资源 公司 关于 新闻 服务条款 隐私政策 请勿出售或分享我的个人信息 面向加州用户的隐私声明 Deutsch Español Français Bahasa Indonesia Italiano Nederlands Português do Brasil Svenska Türkçe Русский العربية עִבְרִית 日本語 한국어 简体中文 繁體中文 English Deutsch Español Français Bahasa Indonesia Italiano Nederlands Português do Brasil Svenska Türkçe Русский العربية עִבְרִית 日本語 한국어 简体中文 繁體中文 English 移动应用程序 在以下位置下载 应用中心 在以下位置获取 Google Play 社交媒体 Facebook 上的 WordPress.com X (Twitter) 上的 WordPress.com Instagram 上的 WordPress.com YouTube 上的 WordPress.com Automattic Automattic 与我们合作 | 2026-01-13T09:29:30 |
https://www.jenkins.io/projects/gsoc/2020/project-ideas | GSoC 2020 Project Ideas GSoC 2020 Project Ideas This page aggregates project ideas for Google Summer of Code 2020. See more information about this project and applications on the Jenkins Google Summer of Code page . Below you can find project ideas which have been proposed for this year. New ideas may be proposed by interested mentors or students (e.g. new features in the core, "write a plugin for MY_TOOL_OR_SERVICE", etc.). Project ideas without potential mentors will be considered though applicants may need to work with the community and GSoC org admins to find mentors. To add a new project idea, see: proposing project ideas . Accepted ideas Below you can see the list of project ideas that fully match the Jenkins' project idea standard. The scope of these ideas is well known and we don't normally expect deep changes. All ideas have quick start guidelines and newbie-frienfly issues referenced. We welcome contributors to join the mentor teams, and we invite students to submit project proposal applications in relation to these ideas. Project Category Skills to study/improve Automatic Specification Generator for Jenkins REST API Find and implement the extraction of the REST APIs from the sources and generate and publish the REST APIs respective documentation. Potential Mentor(s): Kristin Whetstone Oleg Nenashev Plugins Java, REST API, OpenAPI / Swagger Polling Docker Registries for Image Changes Create a new Jenkins plugin to automate polling of image changes and security scans. Potential Mentor(s): Justin Harringa Andrey Falko Michael Cirioli Plugins Java, Docker EDA Coverage Adapters Create Jenkins plugins for various Electronic Design Automation coverage reports. Potential Mentor(s): Oleg Nenashev Shenyu Zheng Plugins Java, EDA Tools, FPGA, ASIC, Coverage Plugin(s) for Electronic Design Automation tools Create a new Jenkins plugin for one of widely used EDA tools. Potential Mentor(s): Oleg Nenashev Ayush Agarwal Plugins Java, EDA Tools External Fingerprint Storage for Jenkins Extend Jenkins to support storing artifact usage history in external databases. Potential Mentor(s): Oleg Nenashev Michael Cirioli Core Java, Databases (PostgreSQL/Elasticsearch), REST API, JavaScript Git repository caching on agents Cache git repositories on agents for faster checkout. Potential Mentor(s): Mark Waite Francisco Fernandez Parichay Barpanda Plugins Java, Git Git plugin performance improvements Improve git plugin performance. Potential Mentor(s): Mark Waite Francisco Fernandez Oleg Nenashev Parichay Barpanda Justin Harringa Plugins Java, Git, Benchmarking, JMH GitHub Checks API for Jenkins Plugins Create a new plugin API so that plugins can publish GitHub checks status messages. Potential Mentor(s): Ullrich Hafner Tim Jacomb Jeff Pearce Jon Brohauge Ayush Agarwal Plugins Java, REST API, GitHub Custom Jenkins distribution build service Provide an out of the box solution for packaging Jenkins distributions as WAR files or Docker images. Potential Mentor(s): 赵晓杰(Rick) Jeff Pearce Tools Java, Web Development, Docker Jenkins X: Consolidate the use of Apps / Addons Consolidate Apps and Addons inside Jenkins X. Potential Mentor(s): James Strachan Neha Gupta Michael Cirioli Oscar Medina Kara de la Marck Nikhil Da Rocha Sahil Kalra Jenkins X Go, Kubernetes Jenkins X: Create Boot Apps Create a simple canonical way to install any Helm chart in any namespace. Potential Mentor(s): James Strachan Oscar Medina Kara de la Marck Sahil Kalra Nikhil Da Rocha Jenkins X Go, Kubernetes, Helm Jenkins and Machine Learning Plugins for Data Science Create a new plugin for integrating Jenkins with one of Machine Learning tools (e.g. Jupyter Python, TensorBoard, or Sacred). Potential Mentor(s): Ioannis Moutsatsos Bruno P. Kinoshita Marky Jackson Shivay Lamba Plugins Java, Jenkins plugin, Apache Zeppelin, Jupyter Notebooks, Python, Machine Learning, Data Science Jenkins Pipeline as YAML: experimental plugin Add out-of-the-box support of Jenkins Pipeline definitions in YAML. Potential Mentor(s): Oleg Nenashev Jeff Pearce Aytunc Beken Plugins Java, Jenkins Pipeline, Domain Specific Languages, YAML, Jenkins X Plugin Installation Manager Tool Improvements Update the plugin installation manager to integrate with the docker image and Configuration as Code projects. Potential Mentor(s): Kristin Whetstone Tim Jacomb Tools Java, JSON, Command line tools, Package management tool theory Jenkins Windows Services: YAML Configuration Support Enhance Jenkins controller and agent service management on Windows by offering new configuration file formats and improving settings validation. Potential Mentor(s): Oleg Nenashev Michael Cirioli Next Turn Core, Tools C#, .NET, Windows, Windows Services, YAML, Java (optional) Draft project ideas Below you can see draft project ideas, which are currently under review. The scope of such ideas may change during the discussions, but the idea is accepted in principle. You are welcome to comment on the draft and to join the project as a mentor. If you are a student, it is also fine to explore and to apply to the draft project ideas. Project Category Skills to study/improve Code Coverage API Plugin Improvements Improve the new Jenkins Code Coverage API plugin and enhance its performance and extensibility. Potential Mentor(s): Shenyu Zheng Jeff Pearce Plugins Java, JavaScript, Coverage Jenkins REST Plugin Create a new plugin to give Jenkins users the ability to make calls to other Jenkins instances via their REST API. Potential Mentor(s): Sagar Utekar Plugin Java, REST API, Jenkins Pipeline Personal Package Archive platform for OpenWrt Create a platform to build and host packages for OpenWrt (PPA, or Personal Package Archive) using Jenkins X. Potential Mentor(s): Benjamin Henrion Sahil Kalra Nikhil Da Rocha Jenkins X Shell, Makefiles, Docker, Kubernetes Pipeline Step Documentation Generator improvements Enhance the Jenkins Pipeline documentation generator to produce better documentation for thousands of Pipeline developers. Potential Mentor(s): Kristin Whetstone Michael Cirioli Dev Tools Java, Jenkins Pipeline, HTML, CSS, Asciidoc, JavaScript Jenkins Remoting Monitoring Support monitoring of Jenkins remoting networking with open source monitoring tools such as Prometheus, Grafana, etc.. Potential Mentor(s): Oleg Nenashev 赵晓杰(Rick) Michael Cirioli Marky Jackson Plugins, Core Java, Networking, Docker, Prometheus/Grafana/etc. Ongoing discussion These are proposals in the mailing lists which have not been published as project ideas yet. The feasibility is yet to be defined, and the idea may be dismissed depending on the feedback. Everyone is welcome to participate in the discussion and to join as a potential mentor. Project Category Artifactory REST Plugin Create a new plugin to give Jenkins users the ability to make REST API calls to Artifactory natively. Plugin Bitbucket REST Plugin Create a new plugin to give Jenkins users the ability to make REST API calls to Bitbucket natively. Plugin Improvement for Jenkins CLI written in Golang Add new features to the new CLI tool. Tools | 2026-01-13T09:29:30 |
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https://aws.amazon.com/ec2/spot/ | Save up-to 90% on On-Demand Prices – Amazon EC2 Spot Instances – Amazon Web Services Skip to main content Filter: All English Contact us AWS Marketplace Support My account Search Filter: All Sign in to console Create account Amazon EC2 Spot Overview Features Pricing Getting Started FAQs More Compute › Amazon EC2 › Spot Instances Amazon EC2 Spot Instances Run fault-tolerant workloads for up to 90% off Get started with Amazon EC2 Spot Instances Contact Sales Benefits Optimize costs Save up-to 90% on On-Demand prices. Run large scale workloads Take advantage of the massive operating scale of AWS and run large scale workloads at a significant cost savings. Manage with ease Launch, scale, and manage Spot Instances with ease through AWS services or integrated third parties. Build sustainable solutions Build sustainable solutions by leveraging unused EC2 capacity. Why Amazon EC2 Spot Instances? Amazon EC2 Spot Instances let you take advantage of unused EC2 capacity in the AWS cloud and are available at up to a 90% discount compared to On-Demand prices. You can use Spot Instances for various stateless, fault-tolerant, or flexible applications such as big data, containerized workloads, CI/CD, web servers, high-performance computing (HPC), and test & development workloads. Play Leveraging Spot Instances to build the season schedule has enabled the NFL to save over $20 million since 2014. Watch Mike North, NFL VP of Broadcasting Planning, explain how the NFL schedule was built with the help of AWS. Ready to kickoff your savings? Read about best practices to optimize your Spot Instances usage. Play Use cases Deploy containers Run containerized workloads of any scale using Amazon EC2, Amazon ECS, Amazon EKS, or self-managed Kubernetes clusters on Spot Instances. Run big data and ML workloads Fast-track big data and machine learning workloads by using Spot Instances with Amazon EMR, Hadoop, Spark, or Amazon Sagemaker to process massive amounts of data. Scale HPC workloads Accelerate loosely coupled or embarrassingly parallel HPC workloads such as genomic sequencing and algorithmic trading by using Spot Instances to run HPC workloads. Build CI/CD pipelines Launch your CI/CD pipelines in the AWS cloud quickly and cost-effectively with Spot Instances. Leverage the integrations with Jenkins and Spinnaker to automatically scale a Spot Fleet. Resources Learn with hands-on training Explore launching Spot Instances, using the instances in different scenarios, and more. Get started with tutorials Explore Spot Instances pricing Read about how the Spot Instances no-bidding pricing model works. Check out Spot Instances pricing Expand your knowledge Check out Spot Instances documentation and discover best practices. Read the documentation Get started Features page Explore Spot Instances features Learn more Contact us Have more questions? Contact us Did you find what you were looking for today? Let us know so we can improve the quality of the content on our pages Yes No Create an AWS account Learn What Is AWS? What Is Cloud Computing? What Is Agentic AI? Cloud Computing Concepts Hub AWS Cloud Security What's New Blogs Press Releases Resources Getting Started Training AWS Trust Center AWS Solutions Library Architecture Center Product and Technical FAQs Analyst Reports AWS Partners Developers Builder Center SDKs & Tools .NET on AWS Python on AWS Java on AWS PHP on AWS JavaScript on AWS Help Contact Us File a Support Ticket AWS re:Post Knowledge Center AWS Support Overview Get Expert Help AWS Accessibility Legal English Back to top Amazon is an Equal Opportunity Employer: Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age. x facebook linkedin instagram twitch youtube podcasts email Privacy Site terms Cookie Preferences © 2026, Amazon Web Services, Inc. or its affiliates. All rights reserved. | 2026-01-13T09:29:30 |
https://docs.aws.amazon.com/ja_jp/lambda/latest/dg/monitoring-metrics.html | Lambda での CloudWatch メトリクスの使用 - AWS Lambda Lambda での CloudWatch メトリクスの使用 - AWS Lambda ドキュメント AWS Lambda デベロッパーガイド Lambda での CloudWatch メトリクスの使用 AWS Lambda 関数がイベントの処理を終了すると、Lambda は呼び出しに関するメトリクスを Amazon CloudWatch に自動的に送信します。関数メトリクスを受信するために実行ロールに追加のアクセス許可を付与する必要はありません。また、これらのメトリクスには追加料金はかかりません。 Lambda 関数には、さまざまなタイプのメトリクスが関連付けられています。これには、呼び出しメトリクス、パフォーマンスメトリクス、同時実行メトリクス、非同期呼び出しメトリクス、イベントソースマッピングメトリクスなどがあります。詳細については、「 Lambda 関数のメトリクスのタイプ 」を参照してください。 CloudWatch コンソールでは、 これらのメトリクスを表示 し、メトリクスを使用してグラフとダッシュボードを作成できます。使用率、パフォーマンス、エラー率の変化に対応するようにアラームを設定することもできます。Lambda は、メトリクスデータを 1 分間隔で CloudWatch に送信します。Lambda 関数についてより詳細な情報を直ちに把握したい場合は、 高解像度のカスタムメトリクス を作成できます。料金は、カスタムメトリクスと CloudWatch アラームに対して適用されます。詳細については、 Amazon CloudWatch 料金表 をご覧ください。 ブラウザで JavaScript が無効になっているか、使用できません。 AWS ドキュメントを使用するには、JavaScript を有効にする必要があります。手順については、使用するブラウザのヘルプページを参照してください。 ドキュメントの表記規則 関数のモニタリングとデバッグ 関数メトリクスの表示 このページは役に立ちましたか? - はい ページが役に立ったことをお知らせいただき、ありがとうございます。 お時間がある場合は、何が良かったかお知らせください。今後の参考にさせていただきます。 このページは役に立ちましたか? - いいえ このページは修正が必要なことをお知らせいただき、ありがとうございます。ご期待に沿うことができず申し訳ありません。 お時間がある場合は、ドキュメントを改善する方法についてお知らせください。 | 2026-01-13T09:29:30 |
https://docs.aws.amazon.com/ja_jp/lambda/latest/dg/extensions-api-partners.html | AWS Lambda 拡張機能パートナー - AWS Lambda AWS Lambda 拡張機能パートナー - AWS Lambda ドキュメント AWS Lambda デベロッパーガイド AWS 管理の拡張機能 AWS Lambda 拡張機能パートナー AWS Lambda では、Lambda 関数と統合する拡張機能を、複数のサードパーティの企業から提供を受けています。次のリストに、現在利用が可能なサードパーティ拡張機能の詳細を示します。 AppDynamics – Node.js または Python Lambda 関数の自動計測、および関数のパフォーマンスに関する可視性とアラートを提供します。 Axiom – Lambda 関数のパフォーマンスをモニタリングし、システムレベルのメトリクスを集約するためのダッシュボードを提供します。 Datadog – メトリクス、トレース、ログを使用して、サーバーレスアプリケーションのための、包括的かつリアルタイムの可視性を提供します。 Dynatrace – トレースとメトリクスを可視化するとともに、AIを活用してアプリケーションスタック全体のエラーを自動検出し、その根本原因の分析を行います。 Elastic — アプリケーションパフォーマンスモニタリング (APM) 機能を提供し、相関関係のあるトレース、メトリック、ログを使用して根本原因の問題を特定して解決します。 Epsagon – 呼び出しイベントをリッスンしながらトレースを保存し、それらを同時に、実行される Lambda 関数に送信します。 Fastly — インジェクション型攻撃、認証情報スタッフィングによるアカウント乗っ取り、悪意のあるボット、API の悪用などの疑わしいアクティビティから Lambda 関数を保護します。 HashiCorp Vault – シークレットを管理し、デベロッパーが (関数の Vault を設定することなく) それらを関数コード内で使用できるようにします。 Honeycomb – アプリケーションスタックをデバッグするための可観測性を提供するツールです。 Lumigo – Lambda 関数の呼び出しのプロファイリングを行い、サーバーレス環境およびマイクロサービス環境における問題のトラブルシューティングのためのメトリクスを収集します。 New Relic – Lambda 関数とともに実行することで、テレメトリを自動的に収集および拡張し、さらに New Relic の統合可観測性プラットフォームに転送します。 「 Sedai 」 — AI/ML を搭載した自律型クラウド管理プラットフォームで、クラウド運用チームに継続的に最適化を行い、クラウドのコスト削減、パフォーマンス、可用性を大規模に最大化します。 Sentry – Lambda 関数のパフォーマンスを診断、修正、最適化します。 Site24x7 – Lambda 環境でリアルタイムの可観測性を実現します。 Splunk – 高分解能、低レイテンシーのメトリクスを収集して、Lambda 関数を効率的かつ効果的にモニタリングします。 Sumo Logic – サーバーレスアプリケーションの動作状況とパフォーマンスを可視化します。 Salt Security — さまざまなランタイムの自動セットアップとサポートを通して、Lambda 関数の API 体制のガバナンスと API セキュリティを簡素化します。 AWS 管理の拡張機能 AWS では、次のような独自のマネージド型拡張機能を用意しています。 AWS AppConfig – 機能フラグと動的データを使用して Lambda 関数を更新します。この拡張機能を使用すると、Ops のスロットリングやチューニングなど、他の動的設定を更新することもできます。 Amazon CodeGuru Profiler – アプリケーション内で最もコストがかかっているコードの行番号を特定し、コードを改善するための推奨事項を提供することで、アプリケーションのパフォーマンスを向上させ、コストを削減します。 CloudWatch Lambda Insights – 自動化されたダッシュボードにより、Lambda 関数のパフォーマンスに関するモニタリング、トラブルシューティング、最適化を行います。 AWS Distro for OpenTelemetry (ADOT) – 関数が、AWS X-Ray などの AWS モニタリングサービス、および Honeycomb や Lightstep などの OpenTelemetry をサポートする宛先にトレースデータを送信できるようにします。 AWS パラメータとシークレット – Lambda 関数でパラメータを AWS Systems Manager Parameter Store から、シークレットを AWS Secrets Manager から安全に取得します。 追加の拡張機能のサンプルとデモプロジェクトについては、「 AWS Lambda 拡張機能 」を参照してください。 ブラウザで JavaScript が無効になっているか、使用できません。 AWS ドキュメントを使用するには、JavaScript を有効にする必要があります。手順については、使用するブラウザのヘルプページを参照してください。 ドキュメントの表記規則 拡張機能の設定 拡張機能 API このページは役に立ちましたか? - はい ページが役に立ったことをお知らせいただき、ありがとうございます。 お時間がある場合は、何が良かったかお知らせください。今後の参考にさせていただきます。 このページは役に立ちましたか? - いいえ このページは修正が必要なことをお知らせいただき、ありがとうございます。ご期待に沿うことができず申し訳ありません。 お時間がある場合は、ドキュメントを改善する方法についてお知らせください。 | 2026-01-13T09:29:30 |
https://uptimerobot.com/api/v3/ | API V3 Documentation | UptimeRobot UptimeRobot REST API . UptimeRobot has an easy-to-use API. It lets you get the details of your monitors, create / edit / delete monitors, alert contacts, maintenance windows and public status pages. Response format The API returns data in JSON format. Rate limits We are trying to prevent abusive use of our API. We have rate limits based on user plan. FREE plan : 10 req/min PRO plan : monitor limit * 2 req/min ( with maximum value 5000 req/min ) We will return 429 HTTP status code in the response from API, when you hit the rate limits. Also we will return common rate limit response headers in the response: X-RateLimit-Limit - your current rate limit X-RateLimit-Remaining - number of calls left in current duration X-RateLimit-Reset - time since epoch in seconds at which the rate limiting period will end (or already ended) Retry-After - Number of second after you should retry the call Type of API keys HTTP Basic Access Authentication is used for verifying accounts. There are 3 types of api_keys for reaching the data: Account-specific api_key: Allows using all the API methods on all the monitors of an account. Monitor-specific api_keys: Allows using only the getMonitors method for the given monitor. Read-only api_key: Allows fetching data with all the get* API endpoints. How to get API keys You can get your API keys from the Integrations page under section API . | 2026-01-13T09:29:30 |
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https://www.sparkcapital.com/team-members/jeremy-philips | Jeremy Philips ABOUT Team Companies Jeremy Philips General Partner, Growth Jeremy found his way to technology in the mid-1990s when the commercial internet was emerging. Soon after graduating from law school in Australia, he co-founded ecorp to build and operate a collection of leading technology businesses. In his late twenties, Jeremy left Sydney after ecorp’s IPO for his current home of New York City. He joined News Corp to focus on digital strategy and acquisitions as executive vice president in the office of the chairman, before leaving after six years to run Photon, a publicly-traded holding company. In 2014, Jeremy joined Spark to build the firm’s growth fund, where he leads a small team of investors who equally enjoy the journey of finding exceptional founders and products and uncovering the nuances in the data . Drawing on his experience as a founder, he’s cognizant of the need to genuinely understand the entrepreneur’s mindset, rather than always peering through an investor’s abstract prism. Outside of Spark, Jeremy appreciates the theoretical, too. For several years, he has been an adjunct professor at Columbia Business School, where he enjoys debating strategy with his students. Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies “The numbers make the story more vivid; they’re not an alternate plot-line. Whenever there appears to be a contradiction, closer investigation exposes which premise is wrong.” | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/sarah-meinelt | Sarah Kimball ABOUT Team Companies Sarah Kimball Controller Sarah joined Spark Capital in 2016. In her role as Controller, she is focused on financial reporting for the funds, limited partner communications, and Spark’s internal operations. Previously, Sarah spent three and a half years at Deloitte & Touche, LLP, providing audit and assurance services to public companies. An avid runner, Sarah is currently training for her sixth Boston Marathon. Sarah holds a B.A. in Economics, Accounting from College of the Holy Cross, and is a Certified Public Accountant. Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies | 2026-01-13T09:29:30 |
https://www.sparkcapital.com/team-members/arpan-shah | Arpan Shah ABOUT Team Companies Arpan Shah General Partner, Early Arpan doesn’t believe in boring problems. Where others see complexity, he sees a chance to transform some of the most overlooked corners of a business. “The really unsexy parts of companies tend to be where there is a ton of opportunity,” he says. Growing up in Kolkata, Arpan loved playing chess and solving puzzles. He studied electrical engineering and computer science at Stanford University. After graduating, he joined the founding team at Robinhood where he led the data team and built many of the company’s foundational platforms and products across infrastructure, data growth, and risk. During his time at Robinhood, he helped grow the business to more than 2,000 employees and $15 billion in value. He left to found the fintech company Flannel , which Plaid acquired in 2021. At Plaid, Arpan was an engineering leader responsible for all of the company’s infrastructure, developer efficiency, and data. Before joining Spark, Arpan was a partner on the investing team at Pear VC and worked as a scout at Sequoia. A founder at heart, Arpan loves helping startups navigate the pivotal moments in building a company, while letting founders lead the way in making big decisions. He often works with fintech, AI, and enterprise infrastructure companies who believe in making enterprise software as intuitive and compelling as any consumer product. “Technical people who build for other technical people have a second-order level of impact,” he says. “When you serve technical customers really well, you’re accelerating development for everyone.” arpanshah29 @Arpan_Shah_ Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies "There are near infinite combinations of chess positions, but as you play more moves, you can start seeing the path right if one exists to victory." The name Flannel is purely coincidental to Plaid. The name is actually an homage to Arpan's spouse who grew up in Seattle and has a love for flannel. | 2026-01-13T09:29:30 |
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https://www.sparkcapital.com/team-members/jeff-doran | Jeff Doran ABOUT Team Companies Jeff Doran Head of Investor Relations Jeff Doran joined Spark in early 2021 as the firm’s Head of Investor Relations. Jeff has spent his entire career working in investor relations and business development within the institutional asset management industry. For the past nine years, Jeff was a Director of Investor Relations at Bain Capital Credit, helping to grow the credit business to $45 billion. Previously, he focused on key consultant relationships at Acadian Asset Management. Jeff began his career at Longfellow Investment Management as the sixth employee, helping the firm grow to over $1 billion. Jeff enjoys fostering long-term client relationships and takes pride in being a technical and transparent resource to his clients. Throughout his career, he has enjoyed building things and the strategic aspects of fundraising and investor relations. Jeff is married with three children. He also loves paddle tennis, golf, and virtually any competitive sporting event. For many years, Jeff has been active with Year Up, a non-profit organization that seeks to close the opportunity divide, as a mentor and event committee member. Jeff earned a BA in Economics from Middlebury College, an MBA from Babson College, and is a CFA® charterholder. Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies You can often find him chasing his kids around playgrounds and coaching their sports teams. | 2026-01-13T09:29:30 |
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https://www.sparkcapital.com/team-members/diana-berisha | Diana Berisha ABOUT Team Companies Diana Berisha General Counsel Diana joined Spark Capital in 2023 as the firm’s General Counsel. In that role, she oversees all legal matters at Spark, including structuring and executing of investments, portfolio company management and fund formation and fund raising. Diana is excited to be Spark’s first General Counsel - to have the opportunity to build the firm’s in-house legal function and to work with people who love what they do and excel at it. Before joining Spark, Diana was a counsel in the capital markets group at Skadden, Arps, Slate, Meagher & Flom LLP, advising companies in a wide range of industries in capital raise transactions and day-to-day management, as well as corporate governance issues. Diana enjoys interior design and dragging her family to flea markets. She also loves to travel and is an avid reader. Diana holds a B.A. from Georgetown University and a J.D. from Harvard Law School. Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies | 2026-01-13T09:29:30 |
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https://www.sparkcapital.com/team-members/will-reed | Will Reed ABOUT Team Companies Will Reed General Partner, Growth Will Reed isn’t afraid to challenge tradition and forge his own path—both in venture and life. Growing up an avid gamer and athlete, he developed a sense of healthy competition that has followed him throughout his career. Will cut his teeth in Merrill Lynch’s high-yield credit division, executing financings for companies in sectors spanning software, oil and gas, financial services, and pharmaceuticals. He later joined Welsh Carson as an investor, where he was part of the founding team of a healthcare services roll-up backed by the firm. This diverse background crystalized Will’s view that company-building and investing require a first-principles approach that runs counter to the pattern-matching perspective so prevalent in Silicon Valley. As a general partner at Spark, Will’s investing philosophy leads him to support ambitious, often first-time founders taking big swings at large markets —irrespective of sector. “These founders tend to have absolute conviction in how the world ought to work,” he says. “And, like me, they thrive on the process of figuring out the right answer versus doing things the way they’ve always been done.” Will establishes long-lasting relationships with every entrepreneur he backs. He strives to be the “first call” founders make when they’re up against the challenges of building companies that match the scale of their ambitions. “More than anything, these partnerships are often a decade long,” he says. “I seek to be someone founders enjoy the journey with.” Companies Adept We’re building a machine-learning model that can interact with everything on your computer. Read the Story Visit the Website Adept Capella Space Capella Space is a space company that operates a fleet of the first and only U.S. commercial SAR satellites. Co-led Series A in 2018 Read the Story Visit the Website Capella Space Cruise Cruise is building the world’s most advanced self-driving vehicles to safely connect people with the places, things, and experiences they care about. Led Series A in 2015 Acquired by General Motors in 2016 Read the Story Visit the Website Cruise Discord Discord is the easiest way to communicate over voice, video, and text with your friends and communities. Led Series C in 2016 Read the Story Visit the Website Discord Harmonix Harmonix is one of the world’s leading independent game development studios, best known for creating blockbuster franchises like Rock Band and Dance Central. Co-led Series A in 2015 Acquired by Epic Games in 2021 Read the Story Visit the Website Harmonix Instawork Instawork helps local businesses quickly fill permanent and temporary openings with the most qualified professionals in their communities. Led Series B in 2019 Read the Story Visit the Website Instawork Postmates Postmates pioneered the on-demand delivery movement in the U.S. by offering delivery from restaurants and stores previously only available offline. Led Series B in 2014 Acquired by Uber in 2020 Read the Story Visit the Website Postmates Proletariat Proletariat is a group of community-first game developers and the creators of the hit game, Spellbreak. Led Seed in 04/12/2013 Acquired by Activision/Blizzard in 2023 Read the Story Visit the Website Proletariat Zum Zūm provides safe, efficient, and reliable child transportation for school districts and busy families. Led Series B in 2018 Read the Story Visit the Website Zum © Spark Capital 2024 Contact Us Terms & Policies Will was a Discord user before he was a Discord investor. Growing up with an identical twin brother prepared Will for a life of constant competition—from childhood games to playing football together in college. Today, Will and his brother are both VCs and their competition lives on. “A decade ago, many investors would’ve said it’s impossible to build a public software company selling APIs to developers. Today, it’s commonplace. To compete, you have to see the present clearly and constantly question your beliefs as facts change.” Will has backed first-time founders including Saji at Benchling, Ed and Kevin at Catalyst, Garrett at Handshake, Anant at Instabase, Alex at Scale, and Lucas at Smartrent. Will invested in Benchling, which is rapidly making a dent in the biopharma market by powering the R&D infrastructure for more than 170,000 scientists. “As the world increasingly runs on biotech, biotech will run on Benchling.” A bonus of working with Will is that you get to work with River Reed, too. | 2026-01-13T09:29:30 |
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https://uptimerobot.com/help/locations/?ref-header | Locations and IPs | UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE Locations and IPs . Here is the list of our IPs so you can allow-list them if needed. Home / Help Center / Locations Download all IPs for allow-listing in .txt , JSON or directly from DNS JSON ip.uptimerobot.com IPv4 (.txt) IPv4 and IPv6 combined (.txt) IMPORTANT: We’ve updated our monitoring infrastructure and are rolling out new IP addresses. Starting July 28th, UptimeRobot will begin using the new IPs listed below in production, replacing the old ones. If you’re using a firewall, you must update your rules and whitelist the new IPs to ensure uninterrupted monitoring. To make this easier, we’ve released a dedicated API that always returns the latest list of UptimeRobot monitoring IPs. Click on “JSON” to access it. UptimeRobot uses a distributed monitoring system to minimize false-positives. All initial checks are performed from the same region using randomly selected servers (IPs). When an issue is detected, we verify the downtime by conducting additional checks from different servers and providers within the same region. Allow-listing . If the monitoring works well for you, there is no need to take any action. However, if you receive any false positives, there is a strong chance that the IPs used are blocked by your hosting provider. Learn more about all the reasons for monitor downtime in detail. Please make sure that you allow-list these IPs so that any requests that UptimeRobot send are not blocked. Locations and IPs . IPv4 . North America . 3.212.128.62 34.198.201.66 52.22.236.30 54.167.223.174 52.87.72.16 54.87.112.51 3.20.63.178 52.15.147.27 3.12.251.153 18.116.205.62 3.133.226.214 3.149.57.90 45.55.123.175 45.55.127.146 129.212.132.140 134.199.240.137 138.197.53.117 138.197.53.138 138.197.54.143 138.197.54.247 138.197.63.92 143.244.221.177 144.126.251.21 209.38.49.1 209.38.49.206 209.38.49.226 209.38.51.43 5.161.75.7 5.161.73.160 5.161.113.195 5.161.117.52 5.161.177.47 5.161.194.92 5.161.215.244 178.156.181.172 178.156.184.20 178.156.185.127 178.156.185.231 178.156.187.238 178.156.189.113 178.156.189.249 69.162.124.227 69.162.124.235 69.162.124.238 216.144.248.18 216.144.248.19 216.144.248.21 216.144.248.22 216.144.248.23 216.144.248.24 216.144.248.25 216.144.248.26 216.144.248.27 216.144.248.28 216.144.248.29 216.144.248.30 216.245.221.83 Europe . 3.77.67.4 3.79.134.69 18.192.166.72 18.193.252.127 52.28.162.93 52.59.43.236 63.178.84.147 24.144.78.39 24.144.78.185 64.225.81.248 64.225.82.147 143.198.249.237 143.198.250.89 143.244.196.21 143.244.196.211 152.42.149.135 159.223.243.219 161.35.247.201 167.99.18.52 188.166.201.79 206.189.241.133 209.38.53.7 49.13.24.81 49.13.130.29 49.13.134.145 78.47.98.55 88.99.80.227 142.132.180.39 157.90.155.240 157.90.156.63 168.119.53.160 168.119.96.239 49.13.164.148 49.13.167.123 78.46.190.63 78.47.173.76 128.140.41.193 128.140.106.114 159.69.158.189 167.235.143.113 168.119.123.75 78.46.215.1 91.99.101.207 Asia . 18.180.208.214 54.64.67.106 54.249.170.27 139.59.50.44 146.190.9.187 209.38.124.252 5.223.43.32 5.223.53.147 5.223.57.22 Australia . 3.105.133.239 3.105.190.221 54.79.28.129 170.64.250.64 170.64.250.132 170.64.250.235 IPv6 . North America . 2600:1f18:179:f900:4b7d:d1cc:2d10:211 2600:1f18:179:f900:4696:7729:7bb3:f52f 2600:1f18:179:f900:5c68:91b6:5d75:5d7 2600:1f18:179:f900:71:af9a:ade7:d772 2600:1f18:179:f900:2406:9399:4ae6:c5d3 2600:1f18:179:f900:e8dd:eed1:a6c:183b 2600:1f16:775:3a00:8c2c:2ba6:778f:5be5 2600:1f16:775:3a00:dbbe:36b0:3c45:da32 2600:1f16:775:3a00:37bf:6026:e54a:f03a 2600:1f16:775:3a00:ac3:c5eb:7081:942e 2600:1f16:775:3a00:3f24:5bb0:95d7:5a6b 2600:1f16:775:3a00:91ac:3120:ff38:92b5 2604:a880:800:14:0:1:68ba:d000 2604:a880:800:14:0:1:68ba:e000 2604:a880:800:14:0:1:68bb:0 2604:a880:800:14:0:1:68bb:1000 2604:a880:800:14:0:1:68bb:3000 2604:a880:800:14:0:1:68bb:4000 2604:a880:800:14:0:1:68bb:5000 2604:a880:800:14:0:1:68bb:6000 2604:a880:800:14:0:1:68bb:7000 2604:a880:800:14:0:1:68bb:a000 2604:a880:800:14:0:1:68bb:b000 2604:a880:800:14:0:1:68bb:c000 2604:a880:800:14:0:1:68bb:d000 2604:a880:800:14:0:1:68bb:e000 2604:a880:800:14:0:1:68bb:f000 2a01:4ff:f0:b2f2::1 2a01:4ff:f0:e9cf::1 2a01:4ff:f0:3e03::1 2a01:4ff:f0:5f80::1 2a01:4ff:f0:7fad::1 2a01:4ff:f0:9c5f::1 2a01:4ff:f0:2219::1 2a01:4ff:f0:b6f1::1 2a01:4ff:f0:bfd::1 2a01:4ff:f0:d3cd::1 2a01:4ff:f0:d283::1 2a01:4ff:f0:e516::1 2a01:4ff:f0:eccb::1 2a01:4ff:f0:efd1::1 2a01:4ff:f0:fdc7::1 2607:ff68:107::4 2607:ff68:107::14 2607:ff68:107::33 2607:ff68:107::48 2607:ff68:107::49 2607:ff68:107::50 2607:ff68:107::51 2607:ff68:107::52 2607:ff68:107::53 2607:ff68:107::54 2607:ff68:107::55 2607:ff68:107::56 2607:ff68:107::57 2607:ff68:107::58 2607:ff68:107::59 2607:ff68:107::60 Europe . 2a05:d014:1815:3400:6d:9235:c1c0:96ad 2a05:d014:1815:3400:90b4:4ef9:5631:b170 2a05:d014:1815:3400:654f:bd37:724c:212b 2a05:d014:1815:3400:9779:d8e9:100a:9642 2a05:d014:1815:3400:af29:e95e:64ff:df81 2a05:d014:1815:3400:c7d6:f7f3:6cc1:30d1 2a05:d014:1815:3400:d784:e5dd:8e0:67cb 2a03:b0c0:2:f0::bd91:f001 2a03:b0c0:2:f0::bd92:1 2a03:b0c0:2:f0::bd92:1001 2a03:b0c0:2:f0::bd92:2001 2a03:b0c0:2:f0::bd92:4001 2a03:b0c0:2:f0::bd92:5001 2a03:b0c0:2:f0::bd92:6001 2a03:b0c0:2:f0::bd92:7001 2a03:b0c0:2:f0::bd92:8001 2a03:b0c0:2:f0::bd92:9001 2a03:b0c0:2:f0::bd92:a001 2a03:b0c0:2:f0::bd92:b001 2a03:b0c0:2:f0::bd92:c001 2a03:b0c0:2:f0::bd92:e001 2a03:b0c0:2:f0::bd92:f001 2a01:4f8:c012:c60e::1 2a01:4f8:c013:3b0f::1 2a01:4f8:c013:3c52::1 2a01:4f8:c013:3c53::1 2a01:4f8:c013:3c54::1 2a01:4f8:c013:3c55::1 2a01:4f8:c013:3c56::1 2a01:4f8:c013:34c0::1 2a01:4f8:c013:c18::1 2a01:4f8:c17:42e4::1 2a01:4f8:1c1b:4ef4::1 2a01:4f8:1c1b:5b5a::1 2a01:4f8:1c1b:7ecc::1 2a01:4f8:1c1c:5353::1 2a01:4f8:1c1c:7240::1 2a01:4f8:1c1c:a98a::1 2a01:4f8:c0c:83fa::1 2a01:4f8:c2c:9fc6::1 2a01:4f8:c2c:beae::1 2a01:4f8:1c1c:11aa::1 2a01:4f8:1c1a:3d53::1 Asia . 2406:da14:94d:8601:9d0d:7754:bedf:e4f5 2406:da14:94d:8601:b325:ff58:2bba:7934 2406:da14:94d:8601:db4b:c5ac:2cbe:9a79 2400:6180:100:d0::94b6:4001 2400:6180:100:d0::94b6:5001 2400:6180:100:d0::94b6:7001 2a01:4ff:2f0:3b3a::1 2a01:4ff:2f0:27de::1 2a01:4ff:2f0:193c::1 Australia . 2406:da1c:9c8:dc02:7ae1:f2ea:ab91:2fde 2406:da1c:9c8:dc02:7db9:f38b:7b9f:402e 2406:da1c:9c8:dc02:82b2:f0fd:ee96:579 2400:6180:10:200::56a0:b000 2400:6180:10:200::56a0:c000 2400:6180:10:200::56a0:e000 Tips for adding our monitoring IPs to your firewall . 1. Windows Defender Firewall How to Add an IP Address to the Allow List: Open Windows Defender Firewall with Advanced Security . Click on Inbound Rules New Rule . Select Custom for the Rule Type and click Next . In the Scope tab, under Remote IP address , select These IP addresses and click Add . Enter our monitoring IP addresses and click OK . Complete the wizard to create the rule. Official Documentation: Microsoft Docs - Configure Windows Defender Firewall 2. Linux iptables How to Allow an IP Address: Open your terminal. Run the following command for each IP address: sudo iptables -A INPUT -s [IP_ADDRESS] -j ACCEPT Save the iptables configuration to ensure changes persist after reboot. Official Documentation: Netfilter/iptables Project Documentation 3. Linux UFW (Uncomplicated Firewall) How to Allow an IP Address: Open your terminal. Run the command: sudo ufw allow from [IP_ADDRESS] Reload UFW to apply changes: sudo ufw reload Official Documentation: Ubuntu Community Help - UFW 4. Cisco ASA Firewall How to Create an Access Rule: Log in to the Cisco ASDM or CLI. Navigate to Configuration > Firewall > Access Rules . Add a new rule permitting traffic from our monitoring IPs to your server. Apply and save the configuration. Official Documentation: Cisco ASA Series Firewall CLI Configuration Guides 5. Palo Alto Networks Firewall How to Create a Security Policy Rule: Log in to the Palo Alto Networks web interface. Go to Policies > Security . Click Add to create a new rule. In the Source tab, add our monitoring IPs. Define the necessary parameters and click OK . Commit the changes. Official Documentation: Palo Alto Networks - Security Policy 6. Fortinet FortiGate Firewall How to Add an Address and Policy: Log in to the FortiGate web interface. Go to Policy & Objects > Addresses and create a new address for our IPs. Navigate to Firewall Policy and create a new policy allowing traffic from the new address to your internal network. Move the policy to the correct sequence and save. Official Documentation: Fortinet - Firewall Policies 7. Check Point Firewall How to Add an Access Rule: Open SmartConsole and connect to your management server. Go to Security Policies . Add a new rule allowing traffic from our monitoring IPs to your resources. Install the policy to apply changes. Official Documentation: Check Point - Security Management Administration Guide 8. SonicWall Firewall How to Create a Firewall Access Rule: Log in to the SonicWall web interface. Navigate to Rules > Access Rules . Click Add to create a new rule allowing our monitoring IPs. Configure the necessary settings and save. Official Documentation: SonicWall - How to Create Firewall Access Rules Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . 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https://uptimerobot.com/blog/uptimerobot-discord/?ref-header | Join the UptimeRobot Community on Discord! | UptimeRobot Blog Skip to the content Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring Incident management Status pages Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Pricing Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator MX lookup Uptime calculator CrontabRobot Log In Go to Dashboard Register for FREE Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring Incident management Status pages Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Pricing Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator MX lookup Uptime calculator CrontabRobot Log In Register for FREE Go to Dashboard Blog . Latest news about product, uptime monitoring, DevOps, observability and more... Latest news about product, uptime monitoring, DevOps, observability and more... Subscribe Home » Announcements » Join the UptimeRobot Community on Discord! Join the UptimeRobot Community on Discord! Written by Kristian Kusenda 574 words | 3 min read Last updated on: April 8, 2025 Quick links Explore the Knowledge Hub 💡 Subnet Cheat Sheet 💡 Notify Me When Back In Stock: How to Get Automatic Restock Alerts with Uptime Robot 💡 The Ultimate Guide to Building a Status Page in 2025 (+Templates) It’s been a few months since our February update , and we’ll be sharing some exciting news with you soon. But this time, we’d love to invite you to join our brand-new Discord Group . Downtime happens . Get notified! Join the world's leading uptime monitoring service with 2.1M+ happy users . Register for FREE Embrace the Power of Community One of the key factors contributing to UptimeRobots’ success is its large and supportive community. UptimeRobot assists developers, administrators, DevOps engineers, marketers, hobby project owners, and others in monitoring their systems and ensuring uptime. We appreciate the value our community brings and would love to give you more space to share your ideas and assist each other with various solutions. Additionally, you might even win some cool prizes! While Twitter, Facebook, and LinkedIn remain available as communications channels, our Discord server will act as the center of conversation – and more! What Will You Find Inside? We’ve just begun this journey, so let’s see where it takes us. Rest assured, there are many engagement opportunities available for everyone. 👋 Introduce Yourself Head over to the “👋 intros ” channel and introduce yourself to the community. We’re excited to learn more about you and how you utilize UptimeRobot to keep your services online. Share your experiences and connect with like-minded individuals. 🎉 Stay Up To Date Stay in the loop with the latest UptimeRobot news and updates by joining our “ product-news ” and “ content-updates ” channels. Be the first to know about new features , enhancements , and important announcements straight from the UptimeRobot team. Don’t miss out on exciting developments! 💻 Share What You’ve Built Have you built something amazing using UptimeRobot? Do you have an interesting UptimeRobot use case to share ? We encourage you to showcase your projects , achievements , and creative solutions in the “ built-with-ur ” channel. You’ll find tools that you can use for yourself here too. 🚀 Find and Provide Solutions Seeking guidance for a particular problem? Looking to provide expertise to a fellow community member? Consult our “ ask-community ” channel. Our community of UptimeRobot users is an excellent resource for tech knowledge . 💡 Share Your Ideas Your feedback and ideas are crucial in helping us improve our product . We highly value your input, which is why we implemented the suggestion board years ago. In the“ give-feedback ” channel, you can conveniently share your ideas and engage in discussions with other community members. Let’s work together to shape the future of UptimeRobot! 🥳 Have Fun and Win Prizes We want to include you in all of our social activities. The idea is still taking shape, but even during this fundamental period, we plan to organize some fun activities featuring exciting prizes. Don’t hesitate to join our Discord group and share your suggestions with both our team and the UptimeRobot community! How to Join UptimeRobot Discord Group Everyone can join via the invite link to our Discord Group . We’d also appreciate it if you share the link with your friends and colleagues to help get the ball rolling! If you’re new to Discord, don’t worry, it’s really simple. We suggest installing the Discord app on your desktop or mobile phone first. All the download links are available on the Discord website . Once you’ve successfully installed the app and registered for a free Discord account, click on the invitation and follow the instructions, it’ll take just another click or two. That’s it! Welcome to the UptimeRobot Discord Server! We look forward to meeting you in the “👋 intros ” channel soon! Downtime happens . Get notified! Join the world's leading uptime monitoring service with 2.1M+ happy users . Register for FREE Share this article: Twitter Facebook LinkedIn Reddit Email Copy Link Start using UptimeRobot today . Join more than 2M+ users and companies! Get 50 monitors for free - forever! Monitor your website, server, SSL certificates, domains, and more. Create customizable status pages. Register for FREE Written by Kristian Kusenda Marketing and Content Specialist | LinkedIn Kristian brings a blend of technical expertise and creative flair to his role as Marketing and Content Specialist at UptimeRobot. He has a background working for global tech companies and several years of experience in the blockchain industry as a community manager and copywriter. View author profile → ← 10 Incident Management Best Practices → May 2023: Monitor Your Domain Expiration Feature 1 reply on “Join the UptimeRobot Community on Discord!” Ahmed om says: January 21, 2024 at 18:10 gameeeeeeeeeeeeeeeeeeeed Reply Leave a Reply Cancel reply Your email address will not be published. Required fields are marked * Comment * Name * Email * Save my name, email, and website in this browser for the next time I comment. Current ye@r * Leave this field empty Recent Articles Inside the Cloudflare Outage: Real-World Data from UptimeRobot On November 18th, 2025, a large Cloudflare outage briefly broke big chunks of the internet. For several hours, users around… Read More Community Q&A: UptimeRobot Product Team Shares Roadmap Updates and Feature Plans In this special Q&A session, the UptimeRobot community team sat down with Tomas Koprusak, CPO at Itrinity and the product… Read More Interview: How Hardcover Is Building the Future of Book Discovery with UptimeRobot At UptimeRobot, we love hearing how creators and founders use our tools to keep their projects running smoothly. This week,… Read More Downtime happens. Get notified! Join more than 2,100,000 happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Company . 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https://uptimerobot.com/knowledge-hub/?ref-header | UptimeRobot Knowledge Hub - Skip to content Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring Incident management Status pages Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Pricing Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator MX lookup Uptime calculator CrontabRobot Log In Go to Dashboard Register for FREE Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring Incident management Status pages Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Pricing Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator MX lookup Uptime calculator CrontabRobot Log In Register for FREE Go to Dashboard Knowledge Hub Knowledge Hub Our Knowledge Hub aims to offer in-depth technical guides designed to enhance users’ understanding and skills in various technical domains. Search Categories Glossary Comparisons & Alternatives Cron Monitoring DevOps Logging Monitoring Observability Response Time & Page Speed Synthetic Monitoring Comparisons & Alternatives Pingdom vs. Site24x7: Which is Better in 2025? 14 min Top Datadog Competitors in 2025: Best Alternatives for Monitoring and Observability 15 min Best New Relic Alternatives & Competitors in 2025 17 min Cron Monitoring Crontab Logs: How to Access, Analyze & Troubleshoot Cron Jobs 20 min Cron Expressions: Complete Guide to Scheduling Automated Tasks 16 min Our complete cron job guide for 2025 15 min DevOps Subnet Cheat Sheet 7 min Understanding DNS Queries: A Complete Guide 17 min The Ultimate Guide to IoT Monitoring: Tools, Use Cases, and Future Trends 21 min Access Denied on This Server: Causes and Step-by-Step Fixes 16 min What is Infrastructure Monitoring? Comprehensive Guide & Best Practices 26 min The Ultimate Guide to Creating an Effective Incident Response Plan 18 min The Ultimate Guide to Cloud Infrastructure and Cloud Networking 36 min What is the WMI Provider Host? A Complete Guide with Troubleshooting Tips 10 min Application Performance Monitoring Explained 17 min What Is a DNS Redirect? A Comprehensive Guide to How It Works and Best Practices 25 min Logging A Guide to Understanding Log Levels 6 min Monitoring Severity Levels 1-5 Explained: Definitions, Examples, and Best Practices 16 min Notify Me When Back In Stock: How to Get Automatic Restock Alerts with Uptime Robot 11 min The Ultimate Guide to Building a Status Page in 2025 (+Templates) 29 min What Is a DNS Attack and How to Protect Your Website from It 15 min DNS Security: How to Protect the Internet’s Most Targeted System in 2026 14 min 9 Best Website Change Monitoring Tools in 2025 (Ranked & Compared) 11 min Website Change Detection 101: How to Monitor Any Webpage for Updates 11 min Ultimate Guide to Uptime Monitoring Types: HTTP, Ping, DNS, Keyword & More 44 min The Ultimate Post Mortem Template (With Examples for Incidents, Projects & Status Pages) 23 min DNS Server Not Responding: Causes, Fixes, and Prevention Guide 18 min Observability AI Observability: A Complete Guide for 2025 22 min Observability vs. Monitoring: Key Differences, Use Cases & Best Practices 23 min Response Time & Page Speed A Guide to Response Time Monitoring 11 min The 10 Best Website Speed Testing Tools in 2025 10 min 10 Tips To Improve Website Speed 9 min Synthetic Monitoring Script Error in JavaScript: What It Is and How to Fix It (With Examples) 11 min Downtime happens. Get notified! Join more than 2,100,000 happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Company . Pricing Blog Affiliate program Non profit & charities 🤲 Terms / Privacy Contact us Write for us We are hiring! Resources . Integrations API FAQs Help center Locations & IPs Comparisons | 2026-01-13T09:29:30 |
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https://uptimerobot.com/blog/inside-the-cloudflare-outage/ | Inside the Cloudflare Outage: Real-World Data from UptimeRobot | UptimeRobot Blog Skip to the content Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring Incident management Status pages Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Pricing Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator MX lookup Uptime calculator CrontabRobot Log In Go to Dashboard Register for FREE Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring Incident management Status pages Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Pricing Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator MX lookup Uptime calculator CrontabRobot Log In Register for FREE Go to Dashboard Blog . Latest news about product, uptime monitoring, DevOps, observability and more... Latest news about product, uptime monitoring, DevOps, observability and more... Subscribe Home » DevOps » Inside the Cloudflare Outage: Real-World Data from UptimeRobot Inside the Cloudflare Outage: Real-World Data from UptimeRobot Written by Tomas Koprusak 698 words | 4 min read Last updated on: November 20, 2025 Quick links Explore the Knowledge Hub 💡 Subnet Cheat Sheet 💡 Notify Me When Back In Stock: How to Get Automatic Restock Alerts with Uptime Robot 💡 The Ultimate Guide to Building a Status Page in 2025 (+Templates) On November 18th, 2025, a large Cloudflare outage briefly broke big chunks of the internet. For several hours, users around the world were greeted with 500 errors, including platforms like X, ChatGPT, Spotify, and many others that run behind Cloudflare’s network. At UptimeRobot, we sit in a slightly unusual spot during events like this: We monitor over 10 million endpoints , including a massive number of websites and APIs that run on Cloudflare. We also use Cloudflare ourselves . So when Cloudflare has a bad day, we see it twice: once in the alerts we send to our customers, and again in how it affects parts of our own infrastructure. From our vantage point, about 18% of UptimeRobot users saw at least one monitor go down during the incident (compared to roughly 1.2% at the same time on a normal day), with an average downtime of 33 minutes and a median of 10 minutes. On top of that, our notification pipeline briefly spiked by around 3,900% , which is 40x the usual load. In this post, we’ll keep the Cloudflare internals short and focus on two things: A quick, human-readable summary of what went wrong. What we saw across the internet through UptimeRobot monitoring. What happened at Cloudflare (the short version) Cloudflare has already published a detailed breakdown of the incident , so we won’t repeat their whole post-mortem here. In simple terms, an internal configuration change in Cloudflare’s Bot Management system caused one of their internal “feature files” to grow far beyond its expected size (after a ClickHouse permissions change doubled the rows returned by the query that builds it). That file was pushed across their network and loaded by the software that handles traffic for many Cloudflare services. When the file became too large , the software started to crash. Cloudflare has confirmed that this wasn’t a cyberattack, but rather a bug in the configuration generation process. Because of how the faulty configuration was generated and rolled out, some locations recovered briefly and then broke again, which is exactly the kind of pattern that shows up as flapping in uptime monitoring . Incidents like this show that even if your own servers are healthy, your users can still see 5xx errors. Relying solely on internal monitoring is a dangerous game, and timely third-party uptime alerts might save you from lost revenue and reputational damage. What we saw across the internet When Cloudflare started having problems, our monitoring data reacted almost immediately. A very large number of monitors behind Cloudflare flipped to DOWN in a short time window, then bounced between UP and DOWN as Cloudflare worked through the incident. From the outside, it looked less like a single clean outage and more like a series of waves hitting different parts of their network. Inside UptimeRobot, dashboards quickly filled with incidents on Cloudflare-backed domains, and alerts fired for sites that were healthy themselves but still relied on Cloudflare to reach users. Alert volume also went up – a lot. Notifications jumped by roughly 40x or 3,900% , as Cloudflare-backed monitors started to trigger at once. How much downtime did our users experience? Looking at all affected monitors, the average downtime during the Cloudflare incident was 33 minutes , with a median of 10 minutes . In other words, half of the affected monitors recovered in about ten minutes or less, but a long tail of longer incidents pulled the average up. Broken down by monitoring intervals the affected monitors look like this (rounded): < 1 minute: ~1% 1–5 minutes: ~8% 5–10 minutes: ~30% 10–30 minutes: ~30% 30–60 minutes: ~6% 1–2 hours: ~24% > 2 hours: well under 1% So most outages for Cloudflare-backed monitors were under 30 minutes, but almost a quarter of them stretched into the one–to–two-hour range. About 18% of users had at least one monitor go down during the incident. For comparison, on a normal day at the same time, only around 1.2% of users see any downtime. So this outage drove roughly 15x more accounts into “something is down” territory than usual. Final thoughts As we’ve seen recently with AWS and now Cloudflare, any provider can run into issues and cause temporary chaos on the mighty internet. We believe it’s fair to say that if, at this point, you still don’t have reliable uptime monitoring in place, you’re going to run into problems down the line. If you’re new here, join UptimeRobot to get 50 monitors with 5-minute intervals for free, no credit card required. Start Monitoring for FREE Share this article: Twitter Facebook LinkedIn Reddit Email Copy Link Start using UptimeRobot today . Join more than 2M+ users and companies! Get 50 monitors for free - forever! Monitor your website, server, SSL certificates, domains, and more. Create customizable status pages. Register for FREE Written by Tomas Koprusak Product Owner | LinkedIn Tomas Koprusak is a Product Owner at UptimeRobot. He has a rich history in similar roles at global IT powerhouses like IBM, where he started as a developer and moved to a Product Manager position, working with EMEA clients and colleagues from the US, Brazil, and China. View author profile → ← Community Q&A: UptimeRobot Product Team Shares Roadmap Updates and Feature Plans Leave a Reply Cancel reply Your email address will not be published. Required fields are marked * Comment * Name * Email * Save my name, email, and website in this browser for the next time I comment. Current ye@r * Leave this field empty Recent Articles Inside the Cloudflare Outage: Real-World Data from UptimeRobot On November 18th, 2025, a large Cloudflare outage briefly broke big chunks of the internet. For several hours, users around… Read More Community Q&A: UptimeRobot Product Team Shares Roadmap Updates and Feature Plans In this special Q&A session, the UptimeRobot community team sat down with Tomas Koprusak, CPO at Itrinity and the product… Read More Interview: How Hardcover Is Building the Future of Book Discovery with UptimeRobot At UptimeRobot, we love hearing how creators and founders use our tools to keep their projects running smoothly. This week,… Read More Downtime happens. Get notified! Join more than 2,100,000 happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Company . Pricing Blog Affiliate program Non profit & charities 🤲 Terms Privacy Contact us Write for us We are hiring! Resources . 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https://docs.aws.amazon.com/zh_cn/lambda/latest/dg/workflow-event-management.html | 管理 Lambda 工作流程和事件 - AWS Lambda 管理 Lambda 工作流程和事件 - AWS Lambda 文档 AWS Lambda 开发人员指南 使用 Step Functions 编排工作流程 使用 EventBridge 和 EventBridge 调度器管理事件 管理 Lambda 工作流程和事件 使用 Lambda 构建无服务器应用程序时，通常需要一些编排函数执行和处理事件的方法。AWS 提供了两项有助于协调 Lambda 函数的重要服务： 用于编排工作流程的 AWS Step Functions 用于事件管理的 Amazon EventBridge 调度器 和 Amazon EventBridge 此外，您可以将 Step Functions 和 EventBridge 一起集成到应用程序中。例如，您可以使用 EventBridge 调度器在特定事件发生时触发 Step Functions 工作流程，或者配置 Step Functions 工作流程，在定义的执行点处将事件发布到 EventBridge 调度器。本节的以下主题将详细说明如何使用这些服务。 使用 Step Functions 编排工作流程 AWS Step Functions 是一项工作流程编排服务，可帮助将多个 Lambda 函数和其他 AWS 服务整合成结构化的工作流程。这些工作流程可以保持状态，使用复杂的重试机制处理错误，以及大规模处理数据。 Step Functions 提供两种类型的工作流程来满足不同的编排需求： 标准工作流 适用于需要精确执行一次语义的长期运行且可审计的工作流程。标准工作流最长可以运行一年，并提供详细的执行历史记录和支持可视化调试。标准工作流适用于订单履行、数据处理管道或多步骤分析作业等流程。 快速工作流 专为至少执行一次语义的高事件率、短历时的工作负载而设计。快速工作流最长可以运行五分钟，非常适合高容量事件处理、流数据转换或 IoT 数据摄取场景。与标准工作流相比具有更高的吞吐量和更低的成本。 注意 有关 Step Functions 工作流程类型的更多信息，请参阅 选择 Step Functions 中的工作流程类型 。 在这些工作流程中，Step Functions 为并行处理提供了两种类型的 Map 状态： 内联 Map 在父工作流程的执行历史记录中处理来自 JSON 数组的项目。内联 Map 最多支持 40 次并发迭代，适用于较小的数据集或需要在一次执行中进行所有处理的情况。有关更多信息，请参阅 在内联模式下使用 Map 状态 。 分布式 Map 通过迭代超过 256 KiB 的数据集或需要 40 多次并发迭代的数据集，支持处理大规模并行工作负载。分布式 Map 支持执行多达 10,000 个并行子工作流程，擅长处理存储在 Amazon S3 中的半结构化数据，例如 JSON 或 CSV 文件，这使其非常适合批处理和 ETL 操作。有关更多信息，请参阅 在分布式模式下使用 Map 状态 。 通过将这些工作流类型和 Map 状态相结合，Step Functions 提供了一个灵活而强大的工具集来编排复杂的无服务器应用程序，从小规模操作到大规模数据处理管道等。 要开始使用 Lambda 和 Step Functions，请参阅 使用 Step Functions 编排 Lambda 函数 。 使用 EventBridge 和 EventBridge 调度器管理事件 Amazon EventBridge 是一项事件总线服务，可帮助您构建事件驱动的架构。它在 AWS 服务、集成应用程序和软件即服务 (SaaS) 应用程序之间路由事件。EventBridge 调度器是一个无服务器调度器，支持从一个中央服务创建、运行和管理任务，使您能够使用 cron 和 rate 表达式计划调用 Lambda 函数，或者配置一次性调用。 Amazon EventBridge 和 EventBridge 调度器可帮助您使用 Lambda 构建事件驱动的架构。EventBridge 在 AWS 服务、集成应用程序和 SaaS 应用程序之间路由事件，而 EventBridge 调度器则提供了特定的计划功能，可定期或一次性调用 Lambda 函数。 这些服务为使用 Lambda 函数提供了多种重要功能： 使用 EventBridge 创建规则，将事件匹配并路由至 Lambda 函数 使用 EventBridge 调度器通过 cron 和 rate 表达式设置定期函数调用 配置在特定日期和时间进行一次性函数调用 为计划的调用定义灵活的时间段和重试策略 有关更多信息，请参阅 按计划调用 Lambda 函数 。 Javascript 在您的浏览器中被禁用或不可用。 要使用 Amazon Web Services 文档，必须启用 Javascript。请参阅浏览器的帮助页面以了解相关说明。 文档惯例 Powertools for AWS Lambda Lambda 运行时 此页面对您有帮助吗？- 是 感谢您对我们工作的肯定！ 如果不耽误您的时间，请告诉我们做得好的地方，让我们做得更好。 此页面对您有帮助吗？- 否 感谢您告诉我们本页内容还需要完善。很抱歉让您失望了。 如果不耽误您的时间，请告诉我们如何改进文档。 | 2026-01-13T09:29:30 |
https://www.atlassian.com/migration/plan/cloud-adoption-guide#intro | Cloud adoption guide | 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 Products Featured Developers Product Managers IT professionals Business Teams Leadership Teams Featured Developers Product Managers IT professionals Business Teams Leadership Teams See all apps Featured FEATURED APPS Jira Flexible project management Confluence Collaborative knowledge workspace Jira Service Management High-velocity service delivery ATLASSIAN COLLECTIONS Supercharge teamwork seamlessly Jira • Confluence • Loom • Rovo Optimize strategy and outcomes confidently Focus • Talent • Align Deliver service at high-velocity Jira Service Management • Customer Service Management • Assets • Rovo Ship high-quality software fast Rovo Dev • DX • Pipelines • Bitbucket • Compass POWERED BY Rovo AI-powered apps – driven by your team's knowledge. Developers Jira Flexible project management Compass Software catalog for teams Pipelines Scalable CI/CD automation Bitbucket Source code and CI/CD DX Measure productivity and AI impact Rovo Dev Agentic AI for developers Ship high-quality software fast Rovo Dev • DX • Pipelines • Bitbucket • Compass Rovo AI-powered apps – driven by your team's knowledge. Product Managers Jira Flexible project management Confluence Knowledge, all in one place Jira Product Discovery Capture & prioritize ideas Supercharge teamwork seamlessly Jira • Confluence • Loom • Rovo Rovo AI-powered apps – driven by your team's knowledge. IT professionals Jira Service Management High-velocity service delivery Guard Enhanced cloud security Rovo AI-powered apps – driven by your team's knowledge. Business Teams Jira Flexible project management Confluence Knowledge, all in one place Trello Organized & visualized work Loom Quick, async video updates Jira Service Management High-velocity service delivery Customer Service Management Customer experiences reimagined Supercharge teamwork seamlessly Jira • Confluence • Loom • Rovo Rovo AI-powered apps – driven by your team's knowledge. Leadership Teams Focus Enterprise-scale strategic planning Talent Knowledge workforce planning Jira Align Enterprise-wide work planning & value Optimize strategy and outcomes confidently Focus • Talent • Align Rovo AI-powered apps – driven by your team's knowledge. Back Solutions Solutions By use case Team collaboration Strategy and planning Service management Software development By team Software Marketing IT By size Enterprise Small business Startup Non-profit By industry Retail Telecommunications Professional services Government Rovo AI-powered apps – driven by your team's knowledge. Back Why Atlassian Why Atlassian System of Work New Atlassian's blueprint for how teams work together Integrations Connect thousands of apps to your Atlassian products Customers Case studies & stories powered by teamwork FedRAMP Compliant solutions for the public sector Resilience Enterprise-grade & highly performant infrastructure Platform Our deeply integrated, reliable & secure platform Trust center Ensure your data’s security, compliance & availability Back Resources Resources Customer Support Ask questions, report bugs & give us feedback Find Partners Consulting, training & product customization support Atlassian Ascend Resources and support for your transformation Community Learn, connect and grow with the Atlassian Community support General inquiries Product Advice Partner support Enterprise support Technical Support Pricing and Billing Developer support Purchasing & Licensing Resources Project Management Agile Atlassian Learning Get Started Project Collaboration Team Playbook Product Documentation Back Enterprise More + Less - Back Atlassian Ascend Claim free trial Learn Learn See your options Explore cloud value Compare Cloud and Data Center Explore pricing Watch a demo Back Prepare Prepare Plan your transformation Find a partner Walk through the transformation process Transform with FastShift See your support options Back Adopt Adopt Discover adoption resources Learn adoption strategies Explore onboarding resources Back Resources More + Less - Claim free trial Cloud Adoption Guide The resources you need to build and execute a successful adoption and change management plan Atlassian’s guide to adoption and change management In this guide, we’ll walk through best practices and tips for how to successfully roll out Atlassian cloud across your organization, at scale, so you can drive lasting change for how teams work and collaborate. The guide covers how to set your vision, assemble your core team, define success metrics, secure executive sponsorship, foster a community of power users, design a communications strategy, and build effective training and support. Table of contents Introduction Why change management matters for your organization Our customers rely on Atlassian to power mission-critical business processes. As they embrace digital transformation and agile ways of working, many move their toolsets to Atlassian Cloud to reduce overhead, reallocate infrastructure costs, accelerate productivity, and gain peace of mind with built-in security and compliance. To recognize the full return on investment, you need your teams actively using Atlassian Cloud to power their daily work. Success depends on adoption, and adoption requires guiding people through change. To get the most from your new cloud investment, your teams should build a consistent routine for how they utilize apps to align and work together. Atlassian Cloud provides that framework , giving teams repeatable best practices to collaborate, share knowledge, and execute at scale. Over time, these routines turn into habits that strengthen teamwork and drive lasting business impact. That’s why building an effective change management plan is essential. From stakeholder buy-in to user training, a well-designed plan helps teams embrace new tools, migrate successfully, and realize long-term value from Atlassian Cloud. Let’s dive in. Lasting change takes work We get it – we’re all change-fatigued to some extent. Whether it’s a new tool or process we need to follow, it feels like something is always changing. It’s important to take this into account when building a plan to roll out any new change to any team – not just for changes in technology or software. To minimize the friction caused by change, it helps to have all the components moving in the same direction. That means the people, the processes, and the tools all need to work in harmony in order to make change effective and ensure it lasts. Ultimately, lasting adoption depends on how change is felt day to day. When users experience tangible benefits, like faster results, reduced manual work, and new possibilities unlocked, they are far more likely to embrace the shift. Strive to create an environment where your users genuinely want to engage with cloud tools because they make work easier and deliver stronger outcomes. Benefits of a successful adoption and change management program A strategic adoption and change management program delivers three critical outcomes: 1. Increase productivity Proper change management with targeted training and support gets users operational from day one. Instead of hunting for login credentials or documentation, teams stay focused on business objectives that drive results. 2. Reduce shadow IT By deploying Atlassian apps strategically, it ensures teams understand when and how to use each app for their specific needs. When technology requirements are met through proper training and feedback channels, teams won't seek unauthorized alternatives that create technical, billing, and security risks. TIP : Use automatic product discovery (available with Atlassian Guard or Cloud Enterprise) to identify unauthorized instances within your organization and consolidate them under official IT management. 3. Save time and money A comprehensive migration plan with a thoughtful rollout reduces post-migration support tickets and prevents costly do-overs. Teams that don't adapt to changes often require expensive re-implementations. Common barriers to successful adoption Despite the above benefits, change rarely happens organically. The most frequent roadblocks include: Inertia and resistance to new processes Misaligned objectives between business and IT teams Weak leadership sponsorship from key decision-makers Timeline confusion around rollout phases Unclear value proposition for end users Tool overload without usage guidelines Introducing a change management plan ensures teams understand what's changing, how, why, and when - plus provides the knowledge and resources needed for success. The remainder of this guide outlines proven steps to prepare for change and drive long-term adoption. TIP : Download our change management plan template to organize your digital transformation and apply the strategies covered in this guide. The change management plan template guides you through planning and executing your cloud migration while keeping all stakeholders informed and engaged. How to build a rollout plan After years of observing and advising customers as they adopt Atlassian apps, we’ve identified clear patterns of what works well and turned those patterns into a set of concrete steps. FastShift The FastShift program is complimentary and included with your purchase of cloud for licenses 1k and above, and while participation is entirely voluntary, it’s strongly encouraged. Based on your organization’s size and complexity, participation in the program can reduce your migration timeline by 2x-3x! As a FastShift participant, you’ll be supported every step of the way by a dedicated team of migration experts working closely with Solution Partners and Advisory Services to provide high-touch program management, technical guidance, and change management support. This ensures a smooth transition and drives greater adoption across your organization Step 1: Set your vision Define a clear vision for your Atlassian portfolio to drive effective adoption. While streamlining workflows may be your primary goal, engage with teams during migration to discover additional use cases and benefits. Define key messages Identify core themes for user communications: Organizational benefits and strategic value Team and individual advantages Usage guidelines and best practices Important calls to action Vision-setting questions What are we trying to achieve with Atlassian Cloud? Why are we making this change? What specific benefits will adoption deliver? Who will be impacted and how? Create a Product Playbook Document your IT application inventory and outline how Atlassian apps should (and should not) be used alongside existing software. This serves as the foundation for usage guidelines and deployment goals. Product Playbook essentials Company-wide and team-specific processes Onboarding procedures for each product Project naming guidelines by use case Integration requirements with existing tools Keep it current: Update your Product Playbook when supporting new use cases or onboarding new teams. Reference it regularly to keep users informed. TIP: Consider assembling your rollout team first, then collaborate on vision-setting. If team capacity is limited, draft the vision beforehand and use it as a baseline for input and buy-in from your rollout team. Step 2: Define success Establish what success looks like before rollout to ensure your adoption efforts stay focused and measurable. A strong measurement strategy helps you track progress, demonstrate value, and continuously improve. Define success metrics Identify what you’ll measure and why: Clear success criteria for Atlassian apps Measurable goals aligned with business priorities Metrics that capture organizational, team, and individual value User feedback mechanisms to track sentiment and needs Supporting and improving Build in ways to maintain momentum and adapt over time: Accessible support channels for users Regular sharing of success stories to highlight wins Review processes to address challenges and uncover new use cases Sample metrics to consider CSAT: Gauge how satisfied teams are with the change Active usage: Track how often and where tools are used ROI: Track cost or time savings driven by adoption TIP: Align adoption metrics directly to your use cases. This ensures every data point connects back to how teams are working and the value they’re creating. Step 3: Assemble your rollout team A successful rollout is never a solo effort. Build a cross-functional team that can guide strategy, secure resources, and champion adoption across the organization. Executive Sponsor(s) Secure an active and visible executive sponsor. Their influence accelerates buy-in, clears roadblocks, and keeps adoption a business priority. Strong sponsorship ensures alignment, visibility, and momentum. Executive sponsor criteria: Ability to influence senior leaders and secure resources Authority over impacted groups and systems Willingness to model and communicate change Executive sponsor responsibilities: Champion the vision and communicate its importance Provide resources and remove roadblocks Establish clear expectations for managers and teams Listen to feedback across levels and address resistance constructively If you’re struggling to identify an executive sponsor, start with the leaders who decided to adopt Atlassian Cloud, signed off on the investment, or hold final authority when issues are escalated. The right sponsor can champion change, influence peers, and commit resources when needed. Project Owner Assign a Directly Responsible Individual (DRI) such as a Project Manager, Change Manager, or IT lead. Their success is tied to the success of the rollout, making them accountable for driving execution. Subject Matter Experts (SMEs) Bring in both technical and business SMEs. Technical SMEs configure tools and guide training, while business SMEs provide team-level insights, surface challenges, and help tailor communications to real needs. Coalition Building Your rollout team should represent all stakeholders (executives, IT, SMEs, and business units). Together, they ensure the plan balances technical readiness with user adoption and creates a strong foundation for success. Step 4: Scope the rollout Your rollout strategy sets the tone for adoption. Whether you launch in phases or all at once, choose the approach that best fits your organization’s size, culture, and goals. A clear scope ensures teams know what to expect and builds confidence in the change. Create a high-level project plan to visually share critical milestones and communicate scope in a timeline framework. Big bang rollout Introduce Atlassian Cloud to your entire organization at once using a lift and shift approach. This works well for company-wide digital transformations or leadership-driven mandates, creating immediate alignment and momentum. Phased rollout Roll out by department or pilot group, applying lessons learned to each new phase. This approach allows for targeted support, reduces risk, and creates early success stories that build enthusiasm. Prioritizing departments If you choose a gradual rollout, begin with departments that collaborate closely. These users are generally using the same tools and can work together to normalize the new processes. This will help you prioritize use cases later on (detailed in Step 8). You might also want to consider teams or departments that have a reputation for being open to change, so you face less resistance at the start. Regardless of which approach you choose, be sure to take into account the change formula: Who is impacted? (People) How will they be impacted? What will change? (Process) What tools will be used? (Tools) TIP: Migrating 1,000+ users? Contact your account team about the FastShift program to take advantage of dedicated support from our team of experts, including Advisory Services and Solution Partners , to help accelerate your transition. If you have any questions about your migration approach, you can also contact Support . Run steps 5-8 in parallel Steps 5–8 work best when run in parallel, rather than sequentially, because these activities inform each other. For example, your Champions will help you understand what users need and which use cases matter most, which in turn will shape your communications and training plans. Running these steps at the same time creates tighter feedback loops and ensures every team gets the right comms, training, and support needed at the outset of your Atlassian Cloud launch. Step 5: Identify Champions Champions are critical components to a successful rollout. They play such a pivotal role in driving adoption that we’ve dedicated a separate chapter to this step. The short version is that Champions are enthusiastic teammates embedded within the teams where change is happening, so they are well-positioned to build trust, spread positive sentiment, and accelerate change. Identifying Champions across your organization ensures your message is amplified and adoption momentum is sustained. Step 6: Build your communications plan You’ve got a plan in place that’s been vetted by your rollout team. Now, how will you communicate the change to teams and foster positive sentiment toward it? Create a high-level communication plan to visually share the critical milestones and communication cadences. How often should you communicate? Repetition is key. It’s not realistic to expect a single announcement to reach everyone, so plan for multiple communications through different channels. Allow teams time to get comfortable with the change so they’re ready when rollout happens. Who will the sender(s) be? People are more likely to act on messages from leaders they trust. Enlist your Executive Sponsor (Step 3) and Champions (Step 5) to deliver updates. Their involvement boosts visibility and credibility. Which channel(s) should you use? Because you’ll be sending multiple communications, you’ll want to use a mix of channels to maximize reach: Email and/or Loom from Executive Sponsor Corporate intranet or newsletters Slack, Teams, Zoom background, desktop screensaver Town halls or team meetings Physical signage or swag (posters, laptop stickers) Introduction gadget on the default Jira dashboard Announcements and/or banners on the Data Center Confluence home page , Jira home page , or in the Jira Service Management help center and portal . When and what are you communicating? While there is no perfect recipe for communications to users, we have created a framework you can leverage. This is just a recommendation, as the timing of each phase will be specific to your migration planning. You’ll likely have additional comms sent to subgroups, for example, when you are recruiting Champions or preparing your help desk team for an influx in support tickets around launch. We have templates for each of the emails outlined below that you can customize for your organization. Migration Timing Email subject Email purpose Phase: Assess Timing 6-12 months prior to migration Email subject We're planning to migrate to Atlassian Cloud! Email purpose Give users early notice of the migration project Phase: Plan Timing 4-6 months prior to migration Email subject Planning for Atlassian Cloud: What’s migrating, new feature highlights and training resources Email purpose Give users more information on migration scope, new features and training resources Phase: Prep Timing 2-3 months prior to migration Email subject Atlassian Cloud - Invitation to UAT Email purpose Share expectations of UAT Phase: Test Timing 1-2 months prior to migration Email subject Atlassian Cloud UAT is now in session! Email purpose Kickoff UAT and share important details Phase: Pre-launch/migrate Timing 2 weeks before launch Email subject We’re rolling out Atlassian Cloud! Email purpose Remind users of pending Atlassian Cloud launch. Call to action - bookmark new URL(s), download mobile app(s) Adoption Timing Email subject Email purpose Launch/Migrate Timing Launch day Email subject Start using Atlassian Cloud today Email purpose Announce Atlassian Cloud migration is complete. Call to action - log in to site, bookmark URL(s), download mobile app(s) Post-launch Timing 1 week post launch Email subject Thank you for your Atlassian Cloud migration support! Email purpose Thank and acknowledge the teams that made the migration a success Post-launch Timing 2 weeks post launch Email subject Tips & tricks for Atlassian Cloud Email purpose Remind users how to login to new site. Share user training materials Post-launch Timing 1 month post launch Email subject How are you liking Atlassian Cloud? Email purpose Check in - request initial feedback Post-launch Timing 6 weeks post launch Email subject Announcing Atlassian product feature updates! Email purpose Share new features and other product updates Migration Phase Assess Plan Prep Test Pre-launch/migrate Timing 6-12 months prior to migration 4-6 months prior to migration 2-3 months prior to migration 1-2 months prior to migration 2 weeks before launch Email subject We're planning to migrate to Atlassian Cloud! Planning for Atlassian Cloud: What’s migrating, new feature highlights and training resources Atlassian Cloud - Invitation to UAT Atlassian Cloud UAT is now in session! We’re rolling out Atlassian Cloud! Email purpose Give users early notice of the migration project Give users more information on migration scope, new features and training resources Share expectations of UAT Kickoff UAT and share important details Remind users of pending Atlassian Cloud launch. Call to action - bookmark new URL(s), download mobile app(s) Adoption Phase Launch/Migrate Post-launch Post-launch Post-launch Post-launch Timing Launch day 1 week post launch 2 weeks post launch 1 month post launch 6 weeks post launch Email subject Start using Atlassian Cloud today Thank you for your Atlassian Cloud migration support! Tips & tricks for Atlassian Cloud How are you liking Atlassian Cloud? Announcing Atlassian product feature updates! Email purpose Announce Atlassian Cloud migration is complete. Call to action - log in to site, bookmark URL(s), download mobile app(s) Thank and acknowledge the teams that made the migration a success Remind users how to login to new site. Share user training materials Check in - request initial feedback Share new features and other product updates Regardless of which channels you use to communicate, take the time to customize your comms so each team sees how Atlassian Cloud connects to their unique challenges and use cases (as identified in Step 8). For example, Marketing will want to learn how Jira can track campaign performance, while Legal might focus on contract review workflows in Jira Service Management. Be sure to highlight live training opportunities and other available resources. Step 7: Build your training and support plan Training ensures teams feel confident in Atlassian Cloud from day one. A thoughtful plan equips users with the necessary knowledge and establishes ongoing support channels that sustain adoption over time. Create a Learning Hub Give your users access to a centralized learning hub, which serves as a one-stop shop and a source of truth for everything they need to ensure a successful transition to Atlassian Cloud. The hub should have resources with a welcome message, links to learning resources, learning timelines, tip sheets, and FAQs. TIP: Take advantage of our in-app features like custom Jira Onboarding to showcase your hub! Design training for all learners Offer resources in multiple formats to match different learning styles, such as written guides, videos, and interactive demos. Focus on the tasks users perform most often, like creating Jira issues or editing Confluence pages, so training feels immediately relevant. Create onboarding checklists Provide a simple checklist for first-time users, covering both universal tasks (e.g., setting time zones) and configurations unique to your organization. Clear guidance reduces confusion and accelerates comfort with new cloud tools. You can also direct users to our on-demand Learning courses to highlight differences between Data Center and Cloud, making for a quick cloud transition to Jira , Confluence , and Jira Service Management . Empower IT and Champions Train your network of IT admins and Champions alongside end users. This ensures your support team is prepared to resolve issues quickly, while Champions can answer questions and share best practices within their teams. Provide ongoing support Set up Slack or Teams channels where users can ask questions and get quick answers. Encourage Champions to monitor these spaces, helping scale support beyond IT. TIP: Use this guide and your own custom FAQ document as a cloud app training foundation. The guide outlines important changes to cover before launch and can be used to probe questions asked by new users. Then, use your own FAQ as a living document to capture and address the frequently asked questions throughout the life of the app. Step 8: User acceptance testing Adoption succeeds when teams see real problems solved. Focus your rollout on use cases that matter most to each department, so users immediately connect Atlassian apps to their daily work. Uncover challenges To do this, you need to identify current challenges and determine how you can use Atlassian apps to help solve them. Work with business SMEs to identify pain points across teams. Ask where processes slow down, handoffs break, or work gets lost. These challenges are your best entry points for adoption. Define use cases Once you’ve scoped your rollout and prioritized which departments will implement first, you can then choose use cases by department. Again, work with your business SMEs to identify the right use cases, as they may look different in cloud or be entirely new. Here’s an example of how you could identify which use cases you’d like to land in each department (or across the entire organization): Department Current Challenges Use Cases Marketing Current Challenges Manage cross-functional collaboration during campaign creation and execution Plan product launches and execute promotional campaigns Track campaign performance and metrics Use Cases Create team-specific service desks (ie email, design, web) to standardize work intake and service delivery (Jira Service Management) Automate marketing workflows (Jira) Track goals and OKRs and assign owners (Jira) HR Current Challenges Provide answers to common questions Onboard new employees consistently Ensure quality job postings across departments Use Cases Create a knowledge base that centralizes HR policies and resources to enable self-service (Confluence) Automate onboarding workflow to ensure a timely and consistent experience (Jira) Write better job listings by leveraging a standard template (Confluence) Legal Current Challenges Manage the sharing of internal vs. external documentation in a secure and compliant way Deliver consistent service to internal customers for contract reviews, etc. Track progress of legal cases Use Cases Share legal documentation with external parties (external collaboration) (Confluence) Create a service desk for internal legal requests (Jira Service Management) Track cases and updates (Confluence) Operations Current Challenges Design and scale internal processes Manage visitors, deliveries Use Cases Resolve customer issues (Jira Service Management) Manage procurement requests (Jira Service Management) Build a visitor management system (Jira Service Management) You may uncover more use cases than you can handle at once, so start small and prioritize which ones to tackle first. Prioritize by business impact and team readiness, then pilot with a willing group. Early wins create internal case studies and momentum for broader rollout. TIP: Don’t just replicate old workflows in the cloud. Use your migration as an opportunity to simplify, modernize, and explore new capabilities built into Atlassian Cloud. Confirm readiness Before expanding adoption, confirm that your rollout will support teams on day one. Defining a Minimum Viable Product (MVP) and running User Acceptance Testing (UAT) ensures your migration delivers stability and business continuity. MVP outlines the essential functionality teams need to succeed immediately after launch. This should cover 70–80% of daily tasks, focusing on business-critical workflows and features. Once the MVP is defined and agreed upon, it will be used in UAT to determine what tests are performed. UAT validates the MVP with real users before migration. UAT confirms that workflows, integrations, and key features perform as expected, giving teams confidence and surfacing improvements early. TIP : UAT pilot users should include Champions, power users, admins, and at least one rep from each key department. These users should provide comprehensive feedback, reduces surprises, and set a positive tone for adoption across the organization. Step 9: Ship it! You’ve completed Steps 1 through 8 and you’re ready to go - congratulations! With your plan complete and rollout team aligned, it’s time to launch. Announce the rollout confidently, highlight the benefits for teams and the organization, and point users toward training and support resources provided in the previous steps. Step 10: Monitor & engage With a successful launch complete, you must now ensure that adoption continues to grow and teams derive lasting value from Atlassian Cloud. Be sure to monitor feedback channels from Step 8 and check in on a regular basis on the following: Were we successful? What are our success metrics telling us? Do we need to course-correct? How are our teams feeling about the change? Are teams asking for additional features, add-ons, or apps? Are there other training resources that would be helpful? Are there successes in one department that can be highlighted and shared to keep up the momentum? How can we take this to the next level? Is there a new use case we want to land org-wide? Are we ready for teams to start using another Atlassian app to help solve an ongoing challenge? TIP : To learn how your teams are feeling about the change, consider surveying your teams. You can access built in survey plugins in Atlassian Marketplace: Surveys for Jira , Surveys for JSM , and Surveys for Confluence . Or, use Google Forms, Survey Monkey, and other survey platforms. Here are a few questions you may consider including in your survey(s): 1. Which tools are you using on a day-to-day basis? 2. On a scale of 1-10, how comfortable are you with using [app] ? 3. What are your primary use cases for using the [app] ? 4. What is working well for your team today? 5. Are you responsible for training your team on how to use [app] ? 6. Are you interested in getting more training & resources? If so, for which apps/features? How to build, train, and nurture an internal Champions community What is a Champions community? A Champions community is one of the biggest secrets to a successful rollout. Your team of Champions will be a group of people from across your company who you can engage, train, and deploy to help teams adopt Atlassian Cloud. Champions are often power users, but at their core they are trusted colleagues who can guide others through change with credibility and confidence. Why build one? Champions act as force multipliers. Because they sit within the departments where change is happening, they are usually the first to use new tools and processes. They can highlight department-specific use cases, train peers, and build excitement. More importantly, they bring trust because teams are far more likely to listen to a familiar, friendly voice than to an outside directive. Who can be a Champion? Anyone in your company can step into the role, whether they are a new hire, manager, or executive. Champions do not have to start as experts, as long as they are willing to learn and are motivated to improve how their teams work. Power users often make great recruits, but passion and openness to change matter just as much. TIP : If your organization spans multiple teams, departments, or regions, make sure your Champions community reflects that diversity. The closer Champions are to end users, the stronger the connection and trust. Benefits of being a Champion When you ask people to take on this role, be sure to share what is in it for them: Expand skills: Learn Atlassian Cloud apps in depth while sharpening leadership and communication. Grow careers: Gain visibility by driving change at an organizational level. Get hands-on with innovation: Experience new tools and features early, even outside traditional technical roles. Role of a Champion Champions do more than cheerlead. They actively help your rollout succeed by: Testing changes, validating learning resources, and sharing user feedback. Modeling the behavior you want to see by showing how new tools fit into daily work. Training peers through drop-in training sessions or quick tips, easing the load on support teams. Surfacing ongoing feedback (how change is going, how users are adjusting, ways to improve) and best practices to the adoption team. Staying engaged long term so future changes have a ready network of advocates. How to identify Champions Great, you’re interested in building a Champions community! But how do you go about identifying the right people for the job? Start by looking for people who are already showing strong engagement. Audit logs can help you spot power users who frequently log in and actively work across apps. From there, expand to other motivated colleagues even if they are not technical experts. Admins can view Audit logs for each individual app and for the entire organization. To access Audit logs for individual apps, go to Settings > Troubleshooting and support > Audit log. TIP : Check out our support documentation to learn more about audit activities in Jira Cloud and Confluence Cloud . To access organization-wide Audit logs which displays data across all Atlassian apps in a single view, go to admin.atlassian.com and then navigate to Insights > Audit log. There, you can search key in-app actions such as: Logged in to account Created a new site Deleted a Confluence page NOTE : In Atlassian Cloud, you can access organization-wide Audit logs with an active subscription to Atlassian Guard Standard , which is included with all Enterprise plans or can be bought separately. Tracking user-created activity with organization-wide Audit logs is exclusively available with Enterprise plans . TIP: If you are on a Premium plan or higher, use Confluence Analytics to highlight your most active Confluence contributors. How to train Champions Your Champions may be experts in Atlassian apps, or they may be new to cloud. Either way, consistent training ensures they are aligned and prepared to support others. Adopt a “train the trainer” model. When Champions are trained not only in cloud apps and features, but also in how to teach, they listen with a dual perspective: how to apply knowledge themselves and how to share it with their teams. Encourage your Champions to pursue Atlassian certifications for added credibility and career development. You can also test your end-user training programs with Champions first to ensure they are effective before scaling them to the wider organization. TIP : For more information, the ‘Success Champion’ track within the Atlassian Champion program is an initiative designed to empower customers who drive innovative ways of working and enhance team performance by effect. How to nurture a Champions community Your Champions community should be active well beyond the initial rollout. Keep them engaged, connected, and motivated with regular touchpoints: Create a dedicated Slack or Teams channel for updates, feedback, and collaboration. Host monthly office hours to exchange best practices and highlight wins. Launch a company user group where Champions can run events and share adoption ideas. Reward your Champions and recognize their hard work through shoutouts, leadership notes, or career opportunities so that they feel valued. Our top adoption and change management best practices Over the years, we’ve seen organizations of every size adopt Atlassian apps at scale. These best practices will help you ensure lasting, meaningful change in your own company. 1. Change = People + Process + Tools Successful change always starts with people. Many initiatives struggle because they focus only on process or technology. Emphasize and articulate the benefits for individuals, teams and the organization to drive awareness and excitement. When employees see how the change makes their work easier, they are more likely to embrace it. 2. Adoption is an ongoing journey Launching change communications is only the beginning. Real adoption takes time as people acknowledge, accept, and adapt. Reinforce your message with consistent updates and remember that technology evolves too. Keep users informed of new features and improvements so adoption continues to grow. TIP : If you already have a newsletter, intranet, or Slack/Teams channel, consider sharing monthly tips and tricks, new feature highlights, and training opportunities. 3. Meet users where they are Show teams how new apps fit into their existing workflows. Be clear about what the new process or tool will replace, and connect adoption directly to their daily work. Empathy is key: when users see continuity rather than disruption, the change feels manageable. TIP : Demonstrate how Atlassian apps like Jira integrate with tools such as Slack. Integrations make transitions smoother and show users how Cloud enhances, rather than disrupts, their work. Learn more about integrations here . 4. Tone is set at the top As you’re planning your rollout, enrolling senior executives and leaders to endorse the change can help with broader organizational acceptance of the change. In addition to your formal Executive Sponsor(s), consider having an additional set of senior leaders further endorse the change. It could be as simple as forwarding the announcement to their departments to show that they are on board and supportive. We also recommend hosting a training session specifically for senior leaders so they can learn how their teams will be impacted. Leadership buy-in accelerates adoption. Alongside your Executive Sponsor, involve other senior leaders to endorse the change. Even simple gestures, such as forwarding rollout announcements or attending a training session, show their teams that this initiative matters. We also recommend hosting a dedicated leader training to help them understand both the tools and user’s perspective. 5. Build your Champions community early Engage your Champions, at all levels, as early as possible. Their enthusiasm and credibility help seed adoption within departments before the broader rollout. A pilot program for Champions allows them to test tools first, onboard their peers, and provide valuable feedback that strengthens your wider launch. Champions will tell you if the messaging is working and where it can be improved, giving you the opportunity to course-correct and increase the success of your rollout. 6. Make it fun If it’s appropriate, gamify adoption with lighthearted activities that build momentum and engagement. Friendly competitions between departments on tool usage A call for the most creative use case Feature wins and use cases in a monthly newsletter 7. Show is better than tell Demonstrations are always more effective than instructions alone. Build your training plan around showing users how tools work in real scenarios. Host lunch-and-learn sessions where teams can try apps hands-on Offer department-specific training aligned to real use cases (ideally led by Champions) Record these sessions to reuse for onboarding new employees 8. Keep an open feedback loop Your rollout is strongest when users feel heard. Define how feedback will be collected and acted on, whether through Champions, Slack or Teams channels, surveys, or your service desk. A good feedback loop helps you address concerns quickly, capture best practices, and track the business outcomes adoption is delivering. Resistance may occur, but you can address it directly with your communications that reiterate the reasons for the change, the enablement and support you will provide, and feedback channels available. We’re here to help Your success with Atlassian Cloud is our top priority. With your change management plan in place, you may want additional guidance or expert support. Here are resources to help you through rollout and beyond: Additional support Atlassian Community Join community groups such as the Atlassian Migration Program , Enterprise group , Jira Cloud admins group , or Confluence Cloud admins group to connect with peers, share best practices, and get advice from others using Atlassian apps at scale. Customer Success Manager (CSM) CSMs focus on helping your teams succeed in Atlassian Cloud. They can support onboarding, drive adoption, and keep you informed on the latest updates. To find out if you have a CSM, please reach out to your Atlassian representative. Advisory Services Atlassian Advisory Services connect you with strategic, technical, and domain experts. They provide prescriptive guidance not only on adoption and change management, but also on solution design, technology strategy, and long-term sustainment. Please note that Advisory Services are a paid service offered across various plan types . Cloud Specialized Partners Our Cloud Specialized Partners specialize in system integrations, deployments, and upgrades. Located worldwide, they work directly with your teams to tailor Atlassian apps to your specific business needs and solve complex enterprise challenges. Adoption & change management resources Setting your users up for success in Atlassian Cloud apps Unlock your team's full potential with the comprehensive ' Setting your users up for success in Atlassian Cloud ' guide, which highlights how to access your site and what’s different from self-managed apps. Change management plan template Streamline any organizational change with the easy-to-use change management plan template , designed to be used alongside this guide. Email templates for introducing Atlassian Cloud apps Jumpstart your communications plan with email templates that help inform and engage teams throughout the cloud rollout. Quick start guides for Atlassian apps Help teams get up and running fast on Jira Cloud, Confluence Cloud, and Jira Service Management Cloud with these Quick Start guides for Atlassian apps , live training opportunities and other available resources. Onboarding and training resource hub Build an effective training program with curated resources from the onboarding and training resource hub , including guides and webinars for apps like Loom and Rovo. Loom resources Demos Webinars Atlassian University eLearnings Admin setup guide Rovo resources Use cases Admin onboarding End user onboarding Learning courses Up next Email templates for introducing Atlassian Cloud products Go to templates Extra tools and resources Strengthen your adoption and change management strategy with our curated templates and onboarding resources, designed to help facilitate a smooth and effective rollout. Email templates Go to templates Quick start guides Go to guides Onboarding resources Go to resources 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 | 2026-01-13T09:29:30 |
https://uptimerobot.com/free-tools/ip-subnet-calculator/?ref-header | IPv4 Subnet Calculator (CIDR, Mask & IP Range) | UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE IPv4 subnet calculator . Our free subnet calculator returns a variety of information regarding Internet Protocol version 4 (IPv4) subnets including possible network addresses, usable host ranges, subnet mask, and IP class, among others. Subnet calculator . IPv4 IPv6 IP Address Subnet 255.0.0.0 /8 - 16,777,216 IPs 255.128.0.0 /9 - 8,388,608 IPs 255.192.0.0 /10 - 4,194,304 IPs 255.224.0.0 /11 - 2,097,152 IPs 255.240.0.0 /12 - 1,048,576 IPs 255.248.0.0 /13 - 524,288 IPs 255.252.0.0 /14 - 262,144 IPs 255.254.0.0 /15 - 131,072 IPs 255.255.0.0 /16 - 65,536 IPs 255.255.128.0 /17 - 32,768 IPs 255.255.192.0 /18 - 16,384 IPs 255.255.224.0 /19 - 8,192 IPs 255.255.240.0 /20 - 4,096 IPs 255.255.248.0 /21 - 2,048 IPs 255.255.252.0 /22 - 1,024 IPs 255.255.254.0 /23 - 512 IPs 255.255.255.0 /24 - 256 IPs 255.255.255.128 /25 - 128 IPs 255.255.255.192 /26 - 64 IPs 255.255.255.224 /27 - 32 IPs 255.255.255.240 /28 - 16 IPs 255.255.255.248 /29 - 8 IPs 255.255.255.252 /30 - 4 IPs 255.255.255.254 /31 - 2 IPs 255.255.255.255 /32 - 1 IPs N. of Subnets 1 N. of IPs per Subnet 256 All 1 possible /24 networks with 256 IPs each for 192.168.255.* . CIDR Notation No data Wildcard Mask No data Subnet Address Host Address Range Broadcast Address Usable IPs 192.0.0.0 192.0.0.1 - 192.255.255.254 192.255.255.255 16777214 How to use the IPv4 subnet calculator? To use our IPv4 subnet calculator, start by entering the network address and selecting the subnet mask (from /8 to /32). You can also specify the number of hosts per subnet or the number of subnets. Once you've filled in the input fields, the calculator will display key subnetting details in a table format, including the subnet address, host address range, broadcast address, and usable IPs. Additionally, it will calculate the total number of addresses per subnet and the number of usable addresses per subnet. For your convenience, you can also export the IPv4 results as a CSV file. Get 50 monitors with 5-minute checks totally FREE. Try UpTimeRobot - the world’s leading website monitoring service! Start monitoring for free Frequently Asked Questions . What is a subnet calculator? 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Subnet Mask CIDR Notation Number of Hosts Usable Hosts Subnet Description 255.0.0.0 /8 16,777,216 16,777,214 Very large network 255.128.0.0 /9 8,388,608 8,388,606 Half of a /8 network 255.255.0.0 /16 65,536 65,534 Class B, medium network 255.255.128.0 /17 32,768 32,766 Half of a /16 network 255.255.255.0 /24 256 254 Class C, small network 255.255.255.128 /25 128 126 Half of a /24 network 255.255.255.192 /26 64 62 Quarter of a /24 network 255.255.255.224 /27 32 30 Smaller subnetwork 255.255.255.240 /28 16 14 Very small subnet 255.255.255.248 /29 8 6 Used for point-to-point 255.255.255.252 /30 4 2 Point-to-point links 255.255.255.254 /31 2 0 Used for router links Get your FREE account now, 50 monitors included! Try UpTimeRobot - the world’s leading website monitoring service! Start monitoring for free Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . 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https://uptimerobot.com/integrations/?ref-header | Integrations & Notifications | UptimeRobot Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE Downtime happens . Get notified! Everyone knows it happens. But it’s important to realize before customers do. Personal notification channels . E-mail E-mail is a basic form of outages notifications. Get alerted! SMS Get alerted instantly by SMS, even when you are offline! Voice call Get an automatic voice call alert whenever your website is down. Email to SMS Using free Email to SMS gateway you receive alerts to your mobile phone number via SMS. Mobile app push Download our free iOS / Android app to get notifications to your phone instantly! Stay notified on the go . Don't forget to download our mobile app for your Android or iOS. 3 rd party integrations . Slack Slack messages are a great way to inform the entire team of a downtime. Learn more Zapier Integrate your Zapier account to get alerted right away. Learn more PagerDuty Send up & down events and auto-resolve your incidents in PagerDuty. Integration guide Splunk On-Call Just set up a Splunk URL to notify and you are good to go! Telegram Telegram messages are a great way how to stay alerted. Learn more Webhooks For advanced alerting you can setup webhooks to your own system or app. Learn more Discord Get important monitor status updates in your Discord messages. Learn more Mattermost Keep the whole team informed with Mattermost notifications. Pushbullet Get instant alerts via mobile push notifications in Pushbullet Android app. Learn more Microsoft Teams Get notifications inside your MS Teams app to alert everyone in the group. Learn more Google Chat Get notifications into the Google Chat. Just copy the room URL to UptimeRobot. Learn more Pushover Get instant alerts via mobile push notifications in Pushover app. Learn more ? Need more? Suggest & Vote Built by our great community . PagerTree Connect your UptimeRobot monitors to PagerTree. Learn more Pipedream Build and run workflows using the UptimeRobot API. Learn more ilert alerts Effortlessly manage on-call schedules, respond to incidents quickly. Learn more Zenduty Try the UptimeRobot Integration with Zenduty and escalate alerts to on-call teams. Learn more Showcase your service uptime with the status page . Showcase your service uptime with a status page. Highlight your services reliability and build trust with your website visitors and (potential) customers. Check the LIVE Status Page Example Add your team members to keep them notified . You can invite all your team members to access your monitors, keep them notified and manage incidents. Choose from three levels of user access: read, write and notify-only. Explore incident management Why users trust UptimeRobot . Jen Cook The alerts come in to my phone as soon… The alerts come in to my phone as soon as I have a site outage. I don't need to wait for anyone else to report issues with my site. I can be proactive instead of reactive which improves customer experience. Reviewed on Trustpilot.com Sander Uptime Robot never let us down Uptime Robot never let us down! It's super easy to create monitors and be alerted if something is not operating as it should. Not only does it check if a service is 'up' - it can also check if the expected keywords still exist, and if the web server certificate is nearing expiry. Notifications can be sent using your favorite channels. The interface is easy to navigate both on desktop and mobile. Recommended! Reviewed on Trustpilot.com Ashley H. Simple and impactful It's very seamless to create any monitor we need and the integrations into Slack make it perfect for my team's workflow. We're alerted of outages of resources used by our stack sometimes before the status pages of those resources report it. The support staff is very accommodating as well. Reviewed on G2.com Get your FREE account now, 50 monitors included ! Start monitoring in 30 seconds No credit card required! Available also on: Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Location-specific monitoring Response time monitoring Incident Management DNS monitoring Company . Pricing Blog Affiliate program Referral program Non profit & charities 🤲 Terms / Privacy Contact us We are hiring! Resources . Integrations API FAQs Help center Locations & IPs Comparisons Case studies Knowledge hub Roadmap Subnet calculator MX lookup Uptime calculator CrontabRobot Website change detection Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Register for FREE 🍪 This website use cookies. 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https://uptimerobot.com/api/?ref-header | UptimeRobot Official API - Uptime Monitoring API for Developers Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Go to Dashboard Register for FREE Monitor everything . Automate anything . Plug UptimeRobot's v3 REST API into your codebase and handle uptime, status pages, SSL, cron jobs, maintenance windows, and more from a single endpoint. API Docs (V3) View legacy API docs. Automate every monitor in minutes . Spin up, modify, or delete monitors straight from your CI/CD pipeline. No manual clicks, no copy-paste fatigue – just concise calls that move as fast as your deploys. div; delay: 100; hidden: false, offset-top: 250"> Included in all plans Our API comes with clear, published rate limits (up to 5,000 req/min), so you can scale without surprises. Integrates with your toolchain cURL, Postman, CI/CD, serverless: If it speaks HTTP, it plays nice with our JSON/XML responses. Treat uptime as code: version it, template it, and roll it out globally. Your dashboard, programmatically Everything you can do in the UI, plus bulk ops and custom scripts, now lives at a single REST endpoint. Manage uptime, SSL, cron jobs, and alert contacts in one sweep. Technical highlights . Spin up, modify, or delete monitors straight from your CI/CD pipeline. No manual clicks, no copy-paste fatigue – just concise calls that move as fast as your deploys. div; delay: 100; hidden: false, offset-top: 250"> Unified endpoint design One base URL for all methods, no messy versioning. Multi-format replies Choose JSON, JSON-P, or XML. Monitor types on tap HTTP/S, Keyword, Ping, Port, Heartbeat (cron), SSL, and Domain expiry. Geo-verified checks All API-created monitors inherit our multi-location reliability logic. Rate-limit headers Built-in X-RateLimit data to keep your loops polite. Instant webhook alerts Automate incident routing to Slack, Discord, Teams, or custom URLs. Built with UptimeRobot's API . From hobby projects to enterprise workflows. See what our community builds. div; delay: 100; hidden: false, offset-top: 250"> Grafana & Prometheus Teams ingest UptimeRobot metrics into Grafana and GCP Monitoring, correlating uptime with server metrics in one pane. Ansible & Terraform Operators automate the onboarding of hundreds of monitors via IaC, ensuring new services are always under watch. Integromat/Make workflows Support teams automatically open Zendesk tickets during downtime and close them upon recovery, cutting incident response times in half. WordPress plugin Bloggers and agencies embed live uptime stats directly in posts and dashboards, boosting transparency for clients. Keep-awake pings Developers prevent free-tier apps from sleeping, achieving ~99% availability on zero-cost hosting. Custom heartbeat stacks Home labs combine local health checks with UptimeRobot alerts: monitoring disks, containers, VMs, and more from a single pane. Start building with API Community spotlight . div; delay: 100; hidden: false, offset-top: 250"> "I built an Integromat/Make scenario that receives all webhook events from UptimeRobot, locates or creates the right ticket in our system, and closes it on recovery … it's been working great for the last few years with only a few tweaks required as our needs change." Emmaly June 2023 "I added UR to our Grafana dashboard today. I also added another table widget for reporting on latest status, average response time, and 7 day uptime." Amy October 2023 "If I put UptimeRobot data in Prometheus then I can make a dashboard in GCP's Cloud Alerting/Monitoring and then not have to hear everyone tell me Grafana is too complicated." Muddycow December 2023 "Several people have built Terraform providers that use the UR API to create resources in UR using repeatable idempotent code." Renaomaras June 2024 "The main goal is to have its own, independent heartbeat server, to be able to integrate with any alerting provider – including UptimeRobot." Tomasz Klim April 2025 "UptimeRobot has been keeping my website online 24/7 for many months now, with a 99% uptime. That's absolutely insane!" Jb April 2025 Start using UptimeRobot’s API in seconds . Get up and running in moments with your email address. 1 Grab your key Copy it from Integrations & API > API. 2 Fire your first call curl -X POST https://api.uptimerobot.com/v2/getMonitors \ -d 'api_key=YOUR_API_KEY_HERE&format=json' 3 Parse the JSON Response includes status, uptime ratio, and average response time. 4 That’s it! Create, edit, or delete monitors and alert contacts on the fly. Ready to build ? Get your API key and start creating with UptimeRobot’s API in just a few clicks. Start building with API Frequently asked questions . Where do I find my API key? Log in to your dashboard and navigate to Integrations & API in the left sidebar. Choose API and create your main API keys or Monitor-specific API keys. Are there rate limits? Yes – 10 req/min (Free) up to 5 000 req/min (Pro). Response headers show your remaining quota. Can I query without a body parameter? Only getMonitors supports the api_key as a URL parameter. Does the API cost extra? No. It's included across all plans, from Free to Enterprise. Downtime happens. Get notified! Join more than 2,700,000+ happy users! UptimeRobot is one of the most popular website monitoring services in the world. Monitoring . Website monitoring SSL monitoring Domain monitoring Ping monitoring Port monitoring TCP monitoring Cron job monitoring Keyword monitoring Location-specific monitoring Response time monitoring Incident Management DNS monitoring Company . Pricing Blog Affiliate program Referral program Non profit & charities 🤲 Terms / Privacy Contact us We are hiring! Resources . Integrations API FAQs Help center Locations & IPs Comparisons Case studies Knowledge hub Roadmap Subnet calculator MX lookup Uptime calculator CrontabRobot Website change detection Features Uptime monitoring Website & endpoint monitoring Keyword monitoring Ping monitoring Port monitoring Cron job monitoring Monitoring features Domain monitoring SSL monitoring Response time monitoring Multi-location monitoring DNS monitoring Incident management Status pages MCP Integrations Solutions For every team Devops Developers Marketers Support Business owners Go further with API Meet our users Customers Enterprise Resources Help & learn Help center Location and IPs API docs Knowledge hub Community Roadmap Blog Discord Referral program Affiliate program Non-profit Suggest a feature Free tools Subnet calculator Find the subnet of any IP address MX lookup Instantly check MX records for any domain Uptime calculator Calculate uptime, downtime, and outage costs CrontabRobot Create and validate crontab expressions Website change detection Track visual changes on any webpage Pricing Log In Register for FREE 🍪 This website use cookies. 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https://video.fosdem.org/2020/H.2215/?C=S&O=A | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/H.2215/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - adult_education.mp4 103.1 MiB 2020-Feb-27 21:26 adult_education.webm 52.2 MiB 2020-Feb-27 21:26 apache_datasketches.mp4 101.0 MiB 2020-Feb-10 12:11 apache_datasketches.webm 60.9 MiB 2020-Feb-10 12:11 bloom_filters.mp4 106.4 MiB 2020-Feb-04 21:36 bloom_filters.webm 97.1 MiB 2020-Feb-04 21:36 buildroot_license_compliance.mp4 99.7 MiB 2020-Feb-06 22:35 buildroot_license_compliance.webm 66.4 MiB 2020-Feb-06 22:35 concept_programming.mp4 110.9 MiB 2020-Feb-02 08:22 concept_programming.webm 75.5 MiB 2020-Feb-02 08:22 cryptpad_collaboration.mp4 108.6 MiB 2020-Feb-06 19:59 cryptpad_collaboration.webm 79.9 MiB 2020-Feb-06 19:59 dataverse.mp4 106.9 MiB 2020-Feb-10 08:57 dataverse.webm 60.7 MiB 2020-Feb-10 08:57 deskconnd_crossplatform_ipc.mp4 78.2 MiB 2020-Feb-02 18:34 deskconnd_crossplatform_ipc.webm 39.9 MiB 2020-Feb-02 18:34 duckdb.mp4 108.2 MiB 2020-Feb-14 13:57 duckdb.webm 68.9 MiB 2020-Feb-14 13:57 emissions_api.mp4 90.6 MiB 2020-Feb-03 18:37 emissions_api.webm 48.7 MiB 2020-Feb-03 18:37 european_software_funded_research.mp4 115.2 MiB 2020-Feb-14 13:48 european_software_funded_research.webm 65.3 MiB 2020-Feb-14 13:48 fosdem_infrastructure.mp4 111.3 MiB 2020-Feb-10 09:26 fosdem_infrastructure.webm 54.3 MiB 2020-Feb-10 09:26 fpga_packet_processing.mp4 111.1 MiB 2020-Feb-10 09:57 fpga_packet_processing.webm 54.3 MiB 2020-Feb-10 09:56 free_software_hackers_needed.mp4 104.0 MiB 2020-Feb-02 08:02 free_software_hackers_needed.webm 97.0 MiB 2020-Feb-02 08:02 gate_portable_execution_state.mp4 106.7 MiB 2020-Feb-02 11:44 gate_portable_execution_state.webm 90.6 MiB 2020-Feb-02 11:44 git_issue_management.mp4 95.6 MiB 2020-Feb-02 11:55 git_issue_management.webm 63.4 MiB 2020-Feb-02 11:54 heptapod_mercurial.mp4 84.5 MiB 2020-Feb-10 10:05 heptapod_mercurial.webm 43.8 MiB 2020-Feb-10 10:05 innersource_skills.mp4 111.5 MiB 2020-Feb-03 14:07 innersource_skills.webm 67.4 MiB 2020-Feb-03 14:07 kapow_web_framework.mp4 91.8 MiB 2020-Feb-02 07:51 kapow_web_framework.webm 61.5 MiB 2020-Feb-02 07:51 kde_itinerary.mp4 119.8 MiB 2020-Feb-03 09:52 kde_itinerary.webm 60.7 MiB 2020-Feb-03 09:52 mandos_disk_encryption.mp4 81.5 MiB 2020-Feb-02 07:26 mandos_disk_encryption.webm 38.4 MiB 2020-Feb-02 07:26 next_web_browser.mp4 103.3 MiB 2020-Feb-01 14:02 next_web_browser.webm 69.4 MiB 2020-Feb-01 14:02 ngi_zero.mp4 104.4 MiB 2020-Feb-06 15:34 ngi_zero.webm 64.3 MiB 2020-Feb-06 15:33 open_food_facts.mp4 108.7 MiB 2020-Feb-02 13:17 open_food_facts.webm 79.4 MiB 2020-Feb-02 13:17 openolitor_community_supported_agriculture.mp4 99.9 MiB 2020-Feb-17 23:26 openolitor_community_supported_agriculture.webm 49.2 MiB 2020-Feb-17 23:25 ota_support_program.mp4 101.4 MiB 2020-Feb-04 20:46 ota_support_program.webm 53.7 MiB 2020-Feb-04 20:46 pictor_radio_telescope.mp4 98.5 MiB 2020-Feb-07 12:37 pictor_radio_telescope.webm 71.5 MiB 2020-Feb-07 12:37 protect_data_objects.mp4 60.3 MiB 2020-Feb-07 09:35 protect_data_objects.webm 31.1 MiB 2020-Feb-07 09:35 puavo_linux_desktops_finland.mp4 108.9 MiB 2020-Feb-07 08:58 puavo_linux_desktops_finland.webm 59.9 MiB 2020-Feb-07 08:58 pycirkuit.mp4 100.2 MiB 2020-Feb-17 23:11 pycirkuit.webm 58.1 MiB 2020-Feb-17 23:11 radicle_code_collaboration.mp4 84.9 MiB 2020-Feb-10 10:15 radicle_code_collaboration.webm 38.9 MiB 2020-Feb-10 10:15 reuse_code_licensing.mp4 112.2 MiB 2020-Feb-03 12:12 reuse_code_licensing.webm 57.5 MiB 2020-Feb-03 12:12 router_sovereignty.mp4 97.2 MiB 2020-Feb-06 17:40 router_sovereignty.webm 45.8 MiB 2020-Feb-06 17:40 sandboxfs_bazel_speedup.mp4 102.6 MiB 2020-Feb-02 08:36 sandboxfs_bazel_speedup.webm 50.9 MiB 2020-Feb-02 08:36 standards_organizations_and_open_source.mp4 113.2 MiB 2020-Feb-02 16:51 standards_organizations_and_open_source.webm 69.0 MiB 2020-Feb-02 16:51 storage_logger.mp4 108.7 MiB 2020-Feb-06 16:47 storage_logger.webm 66.6 MiB 2020-Feb-06 16:46 verifpal.mp4 111.0 MiB 2020-Feb-07 11:40 verifpal.webm 87.6 MiB 2020-Feb-07 11:40 web3.mp4 97.7 MiB 2020-Feb-02 13:20 web3.webm 68.2 MiB 2020-Feb-02 13:20 weblate.mp4 104.3 MiB 2020-Feb-02 07:19 weblate.webm 49.0 MiB 2020-Feb-02 07:19 wyliodrin_studio.mp4 53.8 MiB 2020-Feb-03 15:30 wyliodrin_studio.webm 28.5 MiB 2020-Feb-03 15:30 yjs_shared_editing.mp4 100.0 MiB 2020-Feb-17 22:16 yjs_shared_editing.webm 55.5 MiB 2020-Feb-17 22:16 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
https://video.fosdem.org/2020/H.2215/?C=S&O=D | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/H.2215/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - adult_education.mp4 103.1 MiB 2020-Feb-27 21:26 adult_education.webm 52.2 MiB 2020-Feb-27 21:26 apache_datasketches.mp4 101.0 MiB 2020-Feb-10 12:11 apache_datasketches.webm 60.9 MiB 2020-Feb-10 12:11 bloom_filters.mp4 106.4 MiB 2020-Feb-04 21:36 bloom_filters.webm 97.1 MiB 2020-Feb-04 21:36 buildroot_license_compliance.mp4 99.7 MiB 2020-Feb-06 22:35 buildroot_license_compliance.webm 66.4 MiB 2020-Feb-06 22:35 concept_programming.mp4 110.9 MiB 2020-Feb-02 08:22 concept_programming.webm 75.5 MiB 2020-Feb-02 08:22 cryptpad_collaboration.mp4 108.6 MiB 2020-Feb-06 19:59 cryptpad_collaboration.webm 79.9 MiB 2020-Feb-06 19:59 dataverse.mp4 106.9 MiB 2020-Feb-10 08:57 dataverse.webm 60.7 MiB 2020-Feb-10 08:57 deskconnd_crossplatform_ipc.mp4 78.2 MiB 2020-Feb-02 18:34 deskconnd_crossplatform_ipc.webm 39.9 MiB 2020-Feb-02 18:34 duckdb.mp4 108.2 MiB 2020-Feb-14 13:57 duckdb.webm 68.9 MiB 2020-Feb-14 13:57 emissions_api.mp4 90.6 MiB 2020-Feb-03 18:37 emissions_api.webm 48.7 MiB 2020-Feb-03 18:37 european_software_funded_research.mp4 115.2 MiB 2020-Feb-14 13:48 european_software_funded_research.webm 65.3 MiB 2020-Feb-14 13:48 fosdem_infrastructure.mp4 111.3 MiB 2020-Feb-10 09:26 fosdem_infrastructure.webm 54.3 MiB 2020-Feb-10 09:26 fpga_packet_processing.mp4 111.1 MiB 2020-Feb-10 09:57 fpga_packet_processing.webm 54.3 MiB 2020-Feb-10 09:56 free_software_hackers_needed.mp4 104.0 MiB 2020-Feb-02 08:02 free_software_hackers_needed.webm 97.0 MiB 2020-Feb-02 08:02 gate_portable_execution_state.mp4 106.7 MiB 2020-Feb-02 11:44 gate_portable_execution_state.webm 90.6 MiB 2020-Feb-02 11:44 git_issue_management.mp4 95.6 MiB 2020-Feb-02 11:55 git_issue_management.webm 63.4 MiB 2020-Feb-02 11:54 heptapod_mercurial.mp4 84.5 MiB 2020-Feb-10 10:05 heptapod_mercurial.webm 43.8 MiB 2020-Feb-10 10:05 innersource_skills.mp4 111.5 MiB 2020-Feb-03 14:07 innersource_skills.webm 67.4 MiB 2020-Feb-03 14:07 kapow_web_framework.mp4 91.8 MiB 2020-Feb-02 07:51 kapow_web_framework.webm 61.5 MiB 2020-Feb-02 07:51 kde_itinerary.mp4 119.8 MiB 2020-Feb-03 09:52 kde_itinerary.webm 60.7 MiB 2020-Feb-03 09:52 mandos_disk_encryption.mp4 81.5 MiB 2020-Feb-02 07:26 mandos_disk_encryption.webm 38.4 MiB 2020-Feb-02 07:26 next_web_browser.mp4 103.3 MiB 2020-Feb-01 14:02 next_web_browser.webm 69.4 MiB 2020-Feb-01 14:02 ngi_zero.mp4 104.4 MiB 2020-Feb-06 15:34 ngi_zero.webm 64.3 MiB 2020-Feb-06 15:33 open_food_facts.mp4 108.7 MiB 2020-Feb-02 13:17 open_food_facts.webm 79.4 MiB 2020-Feb-02 13:17 openolitor_community_supported_agriculture.mp4 99.9 MiB 2020-Feb-17 23:26 openolitor_community_supported_agriculture.webm 49.2 MiB 2020-Feb-17 23:25 ota_support_program.mp4 101.4 MiB 2020-Feb-04 20:46 ota_support_program.webm 53.7 MiB 2020-Feb-04 20:46 pictor_radio_telescope.mp4 98.5 MiB 2020-Feb-07 12:37 pictor_radio_telescope.webm 71.5 MiB 2020-Feb-07 12:37 protect_data_objects.mp4 60.3 MiB 2020-Feb-07 09:35 protect_data_objects.webm 31.1 MiB 2020-Feb-07 09:35 puavo_linux_desktops_finland.mp4 108.9 MiB 2020-Feb-07 08:58 puavo_linux_desktops_finland.webm 59.9 MiB 2020-Feb-07 08:58 pycirkuit.mp4 100.2 MiB 2020-Feb-17 23:11 pycirkuit.webm 58.1 MiB 2020-Feb-17 23:11 radicle_code_collaboration.mp4 84.9 MiB 2020-Feb-10 10:15 radicle_code_collaboration.webm 38.9 MiB 2020-Feb-10 10:15 reuse_code_licensing.mp4 112.2 MiB 2020-Feb-03 12:12 reuse_code_licensing.webm 57.5 MiB 2020-Feb-03 12:12 router_sovereignty.mp4 97.2 MiB 2020-Feb-06 17:40 router_sovereignty.webm 45.8 MiB 2020-Feb-06 17:40 sandboxfs_bazel_speedup.mp4 102.6 MiB 2020-Feb-02 08:36 sandboxfs_bazel_speedup.webm 50.9 MiB 2020-Feb-02 08:36 standards_organizations_and_open_source.mp4 113.2 MiB 2020-Feb-02 16:51 standards_organizations_and_open_source.webm 69.0 MiB 2020-Feb-02 16:51 storage_logger.mp4 108.7 MiB 2020-Feb-06 16:47 storage_logger.webm 66.6 MiB 2020-Feb-06 16:46 verifpal.mp4 111.0 MiB 2020-Feb-07 11:40 verifpal.webm 87.6 MiB 2020-Feb-07 11:40 web3.mp4 97.7 MiB 2020-Feb-02 13:20 web3.webm 68.2 MiB 2020-Feb-02 13:20 weblate.mp4 104.3 MiB 2020-Feb-02 07:19 weblate.webm 49.0 MiB 2020-Feb-02 07:19 wyliodrin_studio.mp4 53.8 MiB 2020-Feb-03 15:30 wyliodrin_studio.webm 28.5 MiB 2020-Feb-03 15:30 yjs_shared_editing.mp4 100.0 MiB 2020-Feb-17 22:16 yjs_shared_editing.webm 55.5 MiB 2020-Feb-17 22:16 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
https://www.linkedin.com/legal/cookie-policy?session_redirect=%2Fservices%2Fproducts%2Fakamai-technologies-akamai-for-devops&trk=registration-frontend_join-form-cookie-policy#lithograph-app | Cookie Policy | LinkedIn Skip to main content User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws User Agreement Summary of User Agreement Privacy Policy Professional Community Policies Cookie Policy Copyright Policy Regional Info EU Notice California Privacy Disclosure U.S. State Privacy Laws Cookie Policy Effective on June 3, 2022 At LinkedIn, we believe in being clear and open about how we collect and use data related to you. This Cookie Policy applies to any LinkedIn product or service that links to this policy or incorporates it by reference. 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Our cookie tables lists cookies and similar technologies that are used as part of our Services. Please note that the names of cookies and similar technologies may change over time. What are these technologies used for? Below we describe the purposes for which we use these technologies. ENTER SUMMARY Purpose Description Authentication We use cookies and similar technologies to recognize you when you visit our Services. If you’re signed into LinkedIn, these technologies help us show you the right information and personalize your experience in line with your settings. For example, cookies enable LinkedIn to identify you and verify your account. Security We use cookies and similar technologies to make your interactions with our Services faster and more secure. For example, we use cookies to enable and support our security features, keep your account safe and to help us detect malicious activity and violations of our User Agreement. 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For example, our plugins, including the "Apply with LinkedIn" button or the "Share" button may be found on LinkedIn or third-party sites, such as the sites of our customers and partners. Our plugins use cookies and other technologies to provide analytics and recognize you on LinkedIn and third-party sites. If you interact with a plugin (for instance, by clicking "Apply"), the plugin will use cookies to identify you and initiate your request to apply. You can learn more about plugins in our Privacy Policy . Advertising Cookies and similar technologies help us show relevant advertising to you more effectively, both on and off our Services and to measure the performance of such ads. We use these technologies to learn whether content has been shown to you or whether someone who was presented with an ad later came back and took an action (e.g., downloaded a white paper or made a purchase) on another site. Similarly, our partners or service providers may use these technologies to determine whether we've shown an ad or a post and how it performed or provide us with information about how you interact with ads. We may also work with our customers and partners to show you an ad on or off LinkedIn, such as after you’ve visited a customer’s or partner’s site or application. These technologies help us provide aggregated information to our customers and partners. For further information regarding the use of cookies for advertising purposes, please see Sections 1.4 and 2.4 of the Privacy Policy . As noted in Section 1.4 of our Privacy Policy, outside Designated Countries , we also collect (or rely on others who collect) information about your device where you have not engaged with our Services (e.g., ad ID, IP address, operating system and browser information) so we can provide our Members with relevant ads and better understand their effectiveness. For further information, please see Section 1.4 of the Privacy Policy . Analytics and research Cookies and similar technologies help us learn more about how well our Services and plugins perform in different locations. We or our service providers use these technologies to understand, improve, and research products, features and services, including as you navigate through our sites or when you access LinkedIn from other sites, applications or devices. We or our service providers, use these technologies to determine and measure the performance of ads or posts on and off LinkedIn and to learn whether you have interacted with our websites, content or emails and provide analytics based on those interactions. We also use these technologies to provide aggregated information to our customers and partners as part of our Services. 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https://video.fosdem.org/2020/UD2.218A/?C=S&O=D | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/UD2.218A/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - ema_boot_linux_only.mp4 144.0 MiB 2020-Feb-17 09:10 ema_boot_linux_only.webm 72.6 MiB 2020-Feb-17 09:10 ema_early_boot.mp4 225.1 MiB 2020-Feb-07 14:24 ema_early_boot.webm 110.0 MiB 2020-Feb-07 14:24 ema_embedded_voip.mp4 188.6 MiB 2020-Feb-17 23:44 ema_embedded_voip.webm 162.4 MiB 2020-Feb-17 23:44 ema_homebridge_with_yocto.mp4 198.7 MiB 2020-Feb-03 23:41 ema_homebridge_with_yocto.webm 173.6 MiB 2020-Feb-03 23:41 ema_iceoryx.mp4 175.3 MiB 2020-Feb-02 18:57 ema_iceoryx.webm 156.3 MiB 2020-Feb-02 18:57 ema_integrating_julius.mp4 187.7 MiB 2020-Feb-19 19:18 ema_integrating_julius.webm 162.8 MiB 2020-Feb-19 19:18 ema_lognplot.mp4 172.6 MiB 2020-Feb-17 20:54 ema_lognplot.webm 121.5 MiB 2020-Feb-17 20:53 ema_low_cost_test_fixture.mp4 161.1 MiB 2020-Feb-10 09:44 ema_low_cost_test_fixture.webm 94.2 MiB 2020-Feb-10 09:44 ema_pipewire.mp4 188.6 MiB 2020-Feb-04 17:44 ema_pipewire.webm 100.1 MiB 2020-Feb-04 17:44 ema_ptxdist.mp4 178.2 MiB 2020-Feb-01 21:45 ema_ptxdist.webm 89.0 MiB 2020-Feb-01 21:45 ema_ros2_evolution.mp4 171.6 MiB 2020-Feb-02 13:06 ema_ros2_evolution.webm 95.3 MiB 2020-Feb-02 13:06 ema_secure_elements.mp4 142.4 MiB 2020-Feb-07 10:02 ema_secure_elements.webm 107.1 MiB 2020-Feb-07 10:02 ema_smoke_detector.mp4 207.6 MiB 2020-Feb-10 10:03 ema_smoke_detector.webm 103.2 MiB 2020-Feb-10 10:03 ema_wpe.mp4 108.3 MiB 2020-Feb-14 14:04 ema_wpe.webm 55.8 MiB 2020-Feb-14 14:04 ema_yocto_extra_tools.mp4 231.7 MiB 2020-Feb-07 15:06 ema_yocto_extra_tools.webm 201.4 MiB 2020-Feb-07 15:06 iotastarte.mp4 138.8 MiB 2020-Mar-05 01:11 iotastarte.webm 110.8 MiB 2020-Mar-05 01:11 iotcheckpointpower.mp4 136.7 MiB 2020-Feb-10 09:24 iotcheckpointpower.webm 75.1 MiB 2020-Feb-10 09:24 iotcircuitpython.mp4 117.3 MiB 2020-Mar-07 18:50 iotcircuitpython.webm 78.2 MiB 2020-Mar-07 18:50 iotdockernoderedopenocd.mp4 107.3 MiB 2020-Mar-07 18:46 iotdockernoderedopenocd.webm 70.0 MiB 2020-Mar-07 18:46 ioteclipse.mp4 122.4 MiB 2020-Feb-05 15:33 ioteclipse.webm 70.5 MiB 2020-Feb-05 15:33 ioterlang.mp4 62.4 MiB 2020-Mar-07 16:39 ioterlang.webm 32.5 MiB 2020-Mar-07 16:39 iotfieldtracks.mp4 197.5 MiB 2020-Feb-02 21:14 iotfieldtracks.webm 146.4 MiB 2020-Feb-02 21:14 iotfoundation.mp4 192.9 MiB 2020-Feb-04 22:17 iotfoundation.webm 126.6 MiB 2020-Feb-04 22:17 iotk8s.mp4 200.2 MiB 2020-Mar-03 19:52 iotk8s.webm 112.9 MiB 2020-Mar-03 19:52 iotmicropython.mp4 165.9 MiB 2020-Mar-07 18:10 iotmicropython.webm 152.4 MiB 2020-Mar-07 18:10 iotmozilla.mp4 117.0 MiB 2020-Feb-02 11:40 iotmozilla.webm 63.9 MiB 2020-Feb-02 11:40 iotmulticast.mp4 102.2 MiB 2020-Feb-03 09:50 iotmulticast.webm 56.1 MiB 2020-Feb-03 09:50 iotnuttx.mp4 127.3 MiB 2020-Feb-09 17:58 iotnuttx.webm 116.3 MiB 2020-Feb-09 17:57 iotpet.mp4 47.6 MiB 2020-Feb-13 13:19 iotpet.webm 39.9 MiB 2020-Feb-13 13:19 iotsphactor.mp4 124.4 MiB 2020-Feb-06 09:52 iotsphactor.webm 78.0 MiB 2020-Feb-06 09:52 iottarantool.mp4 80.3 MiB 2020-Mar-07 17:27 iottarantool.webm 37.1 MiB 2020-Mar-07 17:27 iottensorflow.mp4 124.9 MiB 2020-Feb-03 16:01 iottensorflow.webm 84.4 MiB 2020-Feb-03 16:01 iottinygo.mp4 214.9 MiB 2020-Feb-05 09:01 iottinygo.webm 195.4 MiB 2020-Feb-05 09:01 iotwolfboot.mp4 191.9 MiB 2020-Feb-04 09:09 iotwolfboot.webm 94.6 MiB 2020-Feb-04 09:09 iotzyre.mp4 132.8 MiB 2020-Mar-07 16:27 iotzyre.webm 116.1 MiB 2020-Mar-07 16:27 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
https://video.fosdem.org/2020/H.2215/?C=M&O=A | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/H.2215/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - adult_education.mp4 103.1 MiB 2020-Feb-27 21:26 adult_education.webm 52.2 MiB 2020-Feb-27 21:26 apache_datasketches.mp4 101.0 MiB 2020-Feb-10 12:11 apache_datasketches.webm 60.9 MiB 2020-Feb-10 12:11 bloom_filters.mp4 106.4 MiB 2020-Feb-04 21:36 bloom_filters.webm 97.1 MiB 2020-Feb-04 21:36 buildroot_license_compliance.mp4 99.7 MiB 2020-Feb-06 22:35 buildroot_license_compliance.webm 66.4 MiB 2020-Feb-06 22:35 concept_programming.mp4 110.9 MiB 2020-Feb-02 08:22 concept_programming.webm 75.5 MiB 2020-Feb-02 08:22 cryptpad_collaboration.mp4 108.6 MiB 2020-Feb-06 19:59 cryptpad_collaboration.webm 79.9 MiB 2020-Feb-06 19:59 dataverse.mp4 106.9 MiB 2020-Feb-10 08:57 dataverse.webm 60.7 MiB 2020-Feb-10 08:57 deskconnd_crossplatform_ipc.mp4 78.2 MiB 2020-Feb-02 18:34 deskconnd_crossplatform_ipc.webm 39.9 MiB 2020-Feb-02 18:34 duckdb.mp4 108.2 MiB 2020-Feb-14 13:57 duckdb.webm 68.9 MiB 2020-Feb-14 13:57 emissions_api.mp4 90.6 MiB 2020-Feb-03 18:37 emissions_api.webm 48.7 MiB 2020-Feb-03 18:37 european_software_funded_research.mp4 115.2 MiB 2020-Feb-14 13:48 european_software_funded_research.webm 65.3 MiB 2020-Feb-14 13:48 fosdem_infrastructure.mp4 111.3 MiB 2020-Feb-10 09:26 fosdem_infrastructure.webm 54.3 MiB 2020-Feb-10 09:26 fpga_packet_processing.mp4 111.1 MiB 2020-Feb-10 09:57 fpga_packet_processing.webm 54.3 MiB 2020-Feb-10 09:56 free_software_hackers_needed.mp4 104.0 MiB 2020-Feb-02 08:02 free_software_hackers_needed.webm 97.0 MiB 2020-Feb-02 08:02 gate_portable_execution_state.mp4 106.7 MiB 2020-Feb-02 11:44 gate_portable_execution_state.webm 90.6 MiB 2020-Feb-02 11:44 git_issue_management.mp4 95.6 MiB 2020-Feb-02 11:55 git_issue_management.webm 63.4 MiB 2020-Feb-02 11:54 heptapod_mercurial.mp4 84.5 MiB 2020-Feb-10 10:05 heptapod_mercurial.webm 43.8 MiB 2020-Feb-10 10:05 innersource_skills.mp4 111.5 MiB 2020-Feb-03 14:07 innersource_skills.webm 67.4 MiB 2020-Feb-03 14:07 kapow_web_framework.mp4 91.8 MiB 2020-Feb-02 07:51 kapow_web_framework.webm 61.5 MiB 2020-Feb-02 07:51 kde_itinerary.mp4 119.8 MiB 2020-Feb-03 09:52 kde_itinerary.webm 60.7 MiB 2020-Feb-03 09:52 mandos_disk_encryption.mp4 81.5 MiB 2020-Feb-02 07:26 mandos_disk_encryption.webm 38.4 MiB 2020-Feb-02 07:26 next_web_browser.mp4 103.3 MiB 2020-Feb-01 14:02 next_web_browser.webm 69.4 MiB 2020-Feb-01 14:02 ngi_zero.mp4 104.4 MiB 2020-Feb-06 15:34 ngi_zero.webm 64.3 MiB 2020-Feb-06 15:33 open_food_facts.mp4 108.7 MiB 2020-Feb-02 13:17 open_food_facts.webm 79.4 MiB 2020-Feb-02 13:17 openolitor_community_supported_agriculture.mp4 99.9 MiB 2020-Feb-17 23:26 openolitor_community_supported_agriculture.webm 49.2 MiB 2020-Feb-17 23:25 ota_support_program.mp4 101.4 MiB 2020-Feb-04 20:46 ota_support_program.webm 53.7 MiB 2020-Feb-04 20:46 pictor_radio_telescope.mp4 98.5 MiB 2020-Feb-07 12:37 pictor_radio_telescope.webm 71.5 MiB 2020-Feb-07 12:37 protect_data_objects.mp4 60.3 MiB 2020-Feb-07 09:35 protect_data_objects.webm 31.1 MiB 2020-Feb-07 09:35 puavo_linux_desktops_finland.mp4 108.9 MiB 2020-Feb-07 08:58 puavo_linux_desktops_finland.webm 59.9 MiB 2020-Feb-07 08:58 pycirkuit.mp4 100.2 MiB 2020-Feb-17 23:11 pycirkuit.webm 58.1 MiB 2020-Feb-17 23:11 radicle_code_collaboration.mp4 84.9 MiB 2020-Feb-10 10:15 radicle_code_collaboration.webm 38.9 MiB 2020-Feb-10 10:15 reuse_code_licensing.mp4 112.2 MiB 2020-Feb-03 12:12 reuse_code_licensing.webm 57.5 MiB 2020-Feb-03 12:12 router_sovereignty.mp4 97.2 MiB 2020-Feb-06 17:40 router_sovereignty.webm 45.8 MiB 2020-Feb-06 17:40 sandboxfs_bazel_speedup.mp4 102.6 MiB 2020-Feb-02 08:36 sandboxfs_bazel_speedup.webm 50.9 MiB 2020-Feb-02 08:36 standards_organizations_and_open_source.mp4 113.2 MiB 2020-Feb-02 16:51 standards_organizations_and_open_source.webm 69.0 MiB 2020-Feb-02 16:51 storage_logger.mp4 108.7 MiB 2020-Feb-06 16:47 storage_logger.webm 66.6 MiB 2020-Feb-06 16:46 verifpal.mp4 111.0 MiB 2020-Feb-07 11:40 verifpal.webm 87.6 MiB 2020-Feb-07 11:40 web3.mp4 97.7 MiB 2020-Feb-02 13:20 web3.webm 68.2 MiB 2020-Feb-02 13:20 weblate.mp4 104.3 MiB 2020-Feb-02 07:19 weblate.webm 49.0 MiB 2020-Feb-02 07:19 wyliodrin_studio.mp4 53.8 MiB 2020-Feb-03 15:30 wyliodrin_studio.webm 28.5 MiB 2020-Feb-03 15:30 yjs_shared_editing.mp4 100.0 MiB 2020-Feb-17 22:16 yjs_shared_editing.webm 55.5 MiB 2020-Feb-17 22:16 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
https://video.fosdem.org/2020/K.4.401/?C=M&O=A | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/K.4.401/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - coreboot_amd.mp4 156.5 MiB 2020-Feb-02 18:17 coreboot_amd.webm 74.9 MiB 2020-Feb-02 18:17 fbdev.mp4 361.7 MiB 2020-Feb-01 17:01 fbdev.webm 258.3 MiB 2020-Feb-01 17:01 firmware_test.mp4 136.7 MiB 2020-Feb-02 13:53 firmware_test.webm 67.4 MiB 2020-Feb-02 13:53 fpga_hw_dbg.mp4 212.0 MiB 2020-Feb-07 14:00 fpga_hw_dbg.webm 126.3 MiB 2020-Feb-07 14:00 gpu_patterns.mp4 390.8 MiB 2020-Feb-01 18:48 gpu_patterns.webm 213.4 MiB 2020-Feb-01 18:48 kms_planes.mp4 208.5 MiB 2020-Feb-01 12:20 kms_planes.webm 100.7 MiB 2020-Feb-01 12:20 libratbag.mp4 145.0 MiB 2020-Feb-02 08:34 libratbag.webm 70.3 MiB 2020-Feb-02 08:34 mesa3d_website.mp4 219.8 MiB 2020-Feb-01 13:01 mesa3d_website.webm 100.9 MiB 2020-Feb-01 13:01 nouveau.mp4 228.4 MiB 2020-Feb-01 14:58 nouveau.webm 109.6 MiB 2020-Feb-01 14:58 olimex_oshw.mp4 404.8 MiB 2020-Feb-04 16:13 olimex_oshw.webm 203.6 MiB 2020-Feb-04 16:12 openxr.mp4 206.1 MiB 2020-Feb-01 16:10 openxr.webm 141.8 MiB 2020-Feb-01 16:10 oshw_ci.mp4 172.4 MiB 2020-Feb-04 13:54 oshw_ci.webm 161.3 MiB 2020-Feb-04 13:54 oshw_custom.mp4 393.7 MiB 2020-Feb-04 16:28 oshw_custom.webm 245.7 MiB 2020-Feb-04 16:28 paduak_toolchain.mp4 193.7 MiB 2020-Feb-02 18:04 paduak_toolchain.webm 98.8 MiB 2020-Feb-02 18:03 replicant.mp4 249.4 MiB 2020-May-25 13:53 replicant.webm 121.0 MiB 2020-May-25 13:53 riscv_fpga.mp4 309.2 MiB 2020-Feb-04 14:06 riscv_fpga.webm 196.1 MiB 2020-Feb-04 14:06 rpi4_vulkan.mp4 166.6 MiB 2020-Feb-02 08:35 rpi4_vulkan.webm 82.0 MiB 2020-Feb-02 08:35 startup_gen.mp4 125.5 MiB 2020-Feb-02 15:57 startup_gen.webm 58.6 MiB 2020-Feb-02 15:57 ttm.mp4 284.9 MiB 2020-Feb-01 18:32 ttm.webm 125.4 MiB 2020-Feb-01 18:20 videobox.mp4 395.0 MiB 2020-Feb-03 13:49 videobox.webm 269.1 MiB 2020-Feb-03 13:49 zink.mp4 126.3 MiB 2020-Feb-01 12:03 zink.webm 64.0 MiB 2020-Feb-01 12:03 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
https://docs.aws.amazon.com/lambda/latest/dg/runtimes-extensions-api.html#runtimes-extensions-api-trbl | Using the Lambda Extensions API to create extensions - AWS Lambda Using the Lambda Extensions API to create extensions - AWS Lambda Documentation AWS Lambda Developer Guide Lambda execution environment lifecycle Extensions API reference Using the Lambda Extensions API to create extensions Lambda function authors use extensions to integrate Lambda with their preferred tools for monitoring, observability, security, and governance. Function authors can use extensions from AWS, AWS Partners , and open-source projects. For more information on using extensions, see Introducing AWS Lambda Extensions on the AWS Compute Blog. This section describes how to use the Lambda Extensions API, the Lambda execution environment lifecycle, and the Lambda Extensions API reference. As an extension author, you can use the Lambda Extensions API to integrate deeply into the Lambda execution environment . Your extension can register for function and execution environment lifecycle events. In response to these events, you can start new processes, run logic, and control and participate in all phases of the Lambda lifecycle: initialization, invocation, and shutdown. In addition, you can use the Runtime Logs API to receive a stream of logs. An extension runs as an independent process in the execution environment and can continue to run after the function invocation is fully processed. Because extensions run as processes, you can write them in a different language than the function. We recommend that you implement extensions using a compiled language. In this case, the extension is a self-contained binary that is compatible with supported runtimes. All Lambda runtimes support extensions. If you use a non-compiled language, ensure that you include a compatible runtime in the extension. Lambda also supports internal extensions . An internal extension runs as a separate thread in the runtime process. The runtime starts and stops the internal extension. An alternative way to integrate with the Lambda environment is to use language-specific environment variables and wrapper scripts . You can use these to configure the runtime environment and modify the startup behavior of the runtime process. You can add extensions to a function in two ways. For a function deployed as a .zip file archive , you deploy your extension as a layer . For a function defined as a container image, you add the extensions to your container image. Note For example extensions and wrapper scripts, see AWS Lambda Extensions on the AWS Samples GitHub repository. Topics Lambda execution environment lifecycle Extensions API reference Lambda execution environment lifecycle The lifecycle of the execution environment includes the following phases: Init : In this phase, Lambda creates or unfreezes an execution environment with the configured resources, downloads the code for the function and all layers, initializes any extensions, initializes the runtime, and then runs the function’s initialization code (the code outside the main handler). The Init phase happens either during the first invocation, or in advance of function invocations if you have enabled provisioned concurrency . The Init phase is split into three sub-phases: Extension init , Runtime init , and Function init . These sub-phases ensure that all extensions and the runtime complete their setup tasks before the function code runs. Invoke : In this phase, Lambda invokes the function handler. After the function runs to completion, Lambda prepares to handle another function invocation. Shutdown : This phase is triggered if the Lambda function does not receive any invocations for a period of time. In the Shutdown phase, Lambda shuts down the runtime, alerts the extensions to let them stop cleanly, and then removes the environment. Lambda sends a Shutdown event to each extension, which tells the extension that the environment is about to be shut down. Each phase starts with an event from Lambda to the runtime and to all registered extensions. The runtime and each extension signal completion by sending a Next API request. Lambda freezes the execution environment when each process has completed and there are no pending events. Topics Init phase Invoke phase Shutdown phase Permissions and configuration Failure handling Troubleshooting extensions Init phase During the Extension init phase, each extension needs to register with Lambda to receive events. Lambda uses the full file name of the extension to validate that the extension has completed the bootstrap sequence. Therefore, each Register API call must include the Lambda-Extension-Name header with the full file name of the extension. You can register up to 10 extensions for a function. This limit is enforced through the Register API call. After each extension registers, Lambda starts the Runtime init phase. The runtime process calls functionInit to start the Function init phase. The Init phase completes after the runtime and each registered extension indicate completion by sending a Next API request. Note Extensions can complete their initialization at any point in the Init phase. Invoke phase When a Lambda function is invoked in response to a Next API request, Lambda sends an Invoke event to the runtime and to each extension that is registered for the Invoke event. Note Lambda Managed Instances: Extensions for Lambda Managed Instances functions cannot register for the Invoke event. Because Lambda Managed Instances supports concurrent invocations within a single execution environment, the Invoke event is not supported. Extensions can only register for the Shutdown event. If you need to track when invocations start and finish, use the platform.report platform event through the Telemetry API . During the invocation, external extensions run in parallel with the function. They also continue running after the function has completed. This enables you to capture diagnostic information or to send logs, metrics, and traces to a location of your choice. After receiving the function response from the runtime, Lambda returns the response to the client, even if extensions are still running. The Invoke phase ends after the runtime and all extensions signal that they are done by sending a Next API request. Event payload : The event sent to the runtime (and the Lambda function) carries the entire request, headers (such as RequestId ), and payload. The event sent to each extension contains metadata that describes the event content. This lifecycle event includes the type of the event, the time that the function times out ( deadlineMs ), the requestId , the invoked function's Amazon Resource Name (ARN), and tracing headers. Extensions that want to access the function event body can use an in-runtime SDK that communicates with the extension. Function developers use the in-runtime SDK to send the payload to the extension when the function is invoked. Here is an example payload: { "eventType": "INVOKE", "deadlineMs": 676051, "requestId": "3da1f2dc-3222-475e-9205-e2e6c6318895", "invokedFunctionArn": "arn:aws:lambda:us-east-1:123456789012:function:ExtensionTest", "tracing": { "type": "X-Amzn-Trace-Id", "value": "Root=1-5f35ae12-0c0fec141ab77a00bc047aa2;Parent=2be948a625588e32;Sampled=1" } } Duration limit : The function's timeout setting limits the duration of the entire Invoke phase. For example, if you set the function timeout as 360 seconds, the function and all extensions need to complete within 360 seconds. Note that there is no independent post-invoke phase. The duration is the total time it takes for your runtime and all your extensions' invocations to complete and is not calculated until the function and all extensions have finished running. Performance impact and extension overhead : Extensions can impact function performance. As an extension author, you have control over the performance impact of your extension. For example, if your extension performs compute-intensive operations, the function's duration increases because the extension and the function code share the same CPU resources. In addition, if your extension performs extensive operations after the function invocation completes, the function duration increases because the Invoke phase continues until all extensions signal that they are completed. Note Lambda allocates CPU power in proportion to the function's memory setting. You might see increased execution and initialization duration at lower memory settings because the function and extension processes are competing for the same CPU resources. To reduce the execution and initialization duration, try increasing the memory setting. To help identify the performance impact introduced by extensions on the Invoke phase, Lambda outputs the PostRuntimeExtensionsDuration metric. This metric measures the cumulative time spent between the runtime Next API request and the last extension Next API request. To measure the increase in memory used, use the MaxMemoryUsed metric. For more information about function metrics, see Using CloudWatch metrics with Lambda . Function developers can run different versions of their functions side by side to understand the impact of a specific extension. We recommend that extension authors publish expected resource consumption to make it easier for function developers to choose a suitable extension. Shutdown phase When Lambda is about to shut down the runtime, it sends a Shutdown to each registered external extension. Extensions can use this time for final cleanup tasks. The Shutdown event is sent in response to a Next API request. Duration limit : The maximum duration of the Shutdown phase depends on the configuration of registered extensions: 0 ms – A function with no registered extensions 500 ms – A function with a registered internal extension 2,000 ms – A function with one or more registered external extensions If the runtime or an extension does not respond to the Shutdown event within the limit, Lambda ends the process using a SIGKILL signal. Event payload : The Shutdown event contains the reason for the shutdown and the time remaining in milliseconds. The shutdownReason includes the following values: SPINDOWN – Normal shutdown TIMEOUT – Duration limit timed out FAILURE – Error condition, such as an out-of-memory event { "eventType": "SHUTDOWN", "shutdownReason": "reason for shutdown", "deadlineMs": "the time and date that the function times out in Unix time milliseconds" } Permissions and configuration Extensions run in the same execution environment as the Lambda function. Extensions also share resources with the function, such as CPU, memory, and /tmp disk storage. In addition, extensions use the same AWS Identity and Access Management (IAM) role and security context as the function. File system and network access permissions : Extensions run in the same file system and network name namespace as the function runtime. This means that extensions need to be compatible with the associated operating system. If an extension requires any additional outbound network traffic rules, you must apply these rules to the function configuration. Note Because the function code directory is read-only, extensions cannot modify the function code. Environment variables : Extensions can access the function's environment variables , except for the following variables that are specific to the runtime process: AWS_EXECUTION_ENV AWS_LAMBDA_LOG_GROUP_NAME AWS_LAMBDA_LOG_STREAM_NAME AWS_LAMBDA_MAX_CONCURRENCY (Lambda Managed Instances only) AWS_XRAY_CONTEXT_MISSING AWS_XRAY_DAEMON_ADDRESS LAMBDA_RUNTIME_DIR LAMBDA_TASK_ROOT _AWS_XRAY_DAEMON_ADDRESS _AWS_XRAY_DAEMON_PORT _HANDLER Note Detecting Lambda Managed Instances: Extensions can check the AWS_LAMBDA_INITIALIZATION_TYPE environment variable to determine if they are running on Lambda Managed Instances versus Lambda (default) functions. This is the recommended method for extensions to adapt their behavior based on the execution environment type. Failure handling Initialization failures : If an extension fails, Lambda restarts the execution environment to enforce consistent behavior and to encourage fail fast for extensions. Also, for some customers, the extensions must meet mission-critical needs such as logging, security, governance, and telemetry collection. Invoke failures (such as out of memory, function timeout): Because extensions share resources with the runtime, memory exhaustion affects them. When the runtime fails, all extensions and the runtime itself participate in the Shutdown phase. In addition, the runtime is restarted—either automatically as part of the current invocation, or via a deferred re-initialization mechanism. If there is a failure (such as a function timeout or runtime error) during Invoke , the Lambda service performs a reset. The reset behaves like a Shutdown event. First, Lambda shuts down the runtime, then it sends a Shutdown event to each registered external extension. The event includes the reason for the shutdown. If this environment is used for a new invocation, the extension and runtime are re-initialized as part of the next invocation. For a more detailed explanation of the previous diagram, see Failures during the invoke phase . Extension logs : Lambda sends the log output of extensions to CloudWatch Logs. Lambda also generates an additional log event for each extension during Init . The log event records the name and registration preference (event, config) on success, or the failure reason on failure. Troubleshooting extensions If a Register request fails, make sure that the Lambda-Extension-Name header in the Register API call contains the full file name of the extension. If the Register request fails for an internal extension, make sure that the request does not register for the Shutdown event. Extensions API reference The OpenAPI specification for the extensions API version 2020-01-01 is available here: extensions-api.zip You can retrieve the value of the API endpoint from the AWS_LAMBDA_RUNTIME_API environment variable. To send a Register request, use the prefix 2020-01-01/ before each API path. For example: http://$ { AWS_LAMBDA_RUNTIME_API}/2020-01-01/extension/register API methods Register Next Init error Exit error Register During Extension init , all extensions need to register with Lambda to receive events. Lambda uses the full file name of the extension to validate that the extension has completed the bootstrap sequence. Therefore, each Register API call must include the Lambda-Extension-Name header with the full file name of the extension. Internal extensions are started and stopped by the runtime process, so they are not permitted to register for the Shutdown event. Path – /extension/register Method – POST Request headers Lambda-Extension-Name – The full file name of the extension. Required: yes. Type: string. Lambda-Extension-Accept-Feature – Use this to specify optional Extensions features during registration. Required: no. Type: comma separated string. Features available to specify using this setting: accountId – If specified, the Extension registration response will contain the account ID associated with the Lambda function that you're registering the Extension for. Request body parameters events – Array of the events to register for. Required: no. Type: array of strings. Valid strings: INVOKE , SHUTDOWN . Note Lambda Managed Instances: Extensions for Lambda Managed Instances functions can only register for the SHUTDOWN event. Attempting to register for the INVOKE event will result in an error. This is because Lambda Managed Instances supports concurrent invocations within a single execution environment. Response headers Lambda-Extension-Identifier – Generated unique agent identifier (UUID string) that is required for all subsequent requests. Response codes 200 – Response body contains the function name, function version, and handler name. 400 – Bad Request 403 – Forbidden 500 – Container error. Non-recoverable state. Extension should exit promptly. Example request body { 'events': [ 'INVOKE', 'SHUTDOWN'] } Example response body { "functionName": "helloWorld", "functionVersion": "$LATEST", "handler": "lambda_function.lambda_handler" } Example response body with optional accountId feature { "functionName": "helloWorld", "functionVersion": "$LATEST", "handler": "lambda_function.lambda_handler", "accountId": "123456789012" } Next Extensions send a Next API request to receive the next event, which can be an Invoke event or a Shutdown event. The response body contains the payload, which is a JSON document that contains event data. The extension sends a Next API request to signal that it is ready to receive new events. This is a blocking call. Do not set a timeout on the GET call, as the extension can be suspended for a period of time until there is an event to return. Path – /extension/event/next Method – GET Request headers Lambda-Extension-Identifier – Unique identifier for extension (UUID string). Required: yes. Type: UUID string. Response headers Lambda-Extension-Event-Identifier – Unique identifier for the event (UUID string). Response codes 200 – Response contains information about the next event ( EventInvoke or EventShutdown ). 403 – Forbidden 500 – Container error. Non-recoverable state. Extension should exit promptly. Init error The extension uses this method to report an initialization error to Lambda. Call it when the extension fails to initialize after it has registered. After Lambda receives the error, no further API calls succeed. The extension should exit after it receives the response from Lambda. Path – /extension/init/error Method – POST Request headers Lambda-Extension-Identifier – Unique identifier for extension. Required: yes. Type: UUID string. Lambda-Extension-Function-Error-Type – Error type that the extension encountered. Required: yes. This header consists of a string value. Lambda accepts any string, but we recommend a format of <category.reason>. For example: Extension.NoSuchHandler Extension.APIKeyNotFound Extension.ConfigInvalid Extension.UnknownReason Request body parameters ErrorRequest – Information about the error. Required: no. This field is a JSON object with the following structure: { errorMessage: string (text description of the error), errorType: string, stackTrace: array of strings } Note that Lambda accepts any value for errorType . The following example shows a Lambda function error message in which the function could not parse the event data provided in the invocation. Example Function error { "errorMessage" : "Error parsing event data.", "errorType" : "InvalidEventDataException", "stackTrace": [ ] } Response codes 202 – Accepted 400 – Bad Request 403 – Forbidden 500 – Container error. Non-recoverable state. Extension should exit promptly. Exit error The extension uses this method to report an error to Lambda before exiting. Call it when you encounter an unexpected failure. After Lambda receives the error, no further API calls succeed. The extension should exit after it receives the response from Lambda. Path – /extension/exit/error Method – POST Request headers Lambda-Extension-Identifier – Unique identifier for extension. Required: yes. Type: UUID string. Lambda-Extension-Function-Error-Type – Error type that the extension encountered. Required: yes. This header consists of a string value. Lambda accepts any string, but we recommend a format of <category.reason>. For example: Extension.NoSuchHandler Extension.APIKeyNotFound Extension.ConfigInvalid Extension.UnknownReason Request body parameters ErrorRequest – Information about the error. Required: no. This field is a JSON object with the following structure: { errorMessage: string (text description of the error), errorType: string, stackTrace: array of strings } Note that Lambda accepts any value for errorType . The following example shows a Lambda function error message in which the function could not parse the event data provided in the invocation. Example Function error { "errorMessage" : "Error parsing event data.", "errorType" : "InvalidEventDataException", "stackTrace": [ ] } Response codes 202 – Accepted 400 – Bad Request 403 – Forbidden 500 – Container error. Non-recoverable state. Extension should exit promptly. Javascript is disabled or is unavailable in your browser. To use the Amazon Web Services Documentation, Javascript must be enabled. 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https://docs.aws.amazon.com/fr_fr/lambda/latest/dg/runtimes-extensions-api.html#extensions-api-next | Utilisation de l’API d’extensions Lambda pour créer des extensions - AWS Lambda Utilisation de l’API d’extensions Lambda pour créer des extensions - AWS Lambda Documentation AWS Lambda Guide du développeur Cycle de vie d’un environnement d’exécution Lambda Référence d’API d’extensions Les traductions sont fournies par des outils de traduction automatique. En cas de conflit entre le contenu d'une traduction et celui de la version originale en anglais, la version anglaise prévaudra. Utilisation de l’API d’extensions Lambda pour créer des extensions Les auteurs de fonctions Lambda utilisent des extensions pour intégrer Lambda avec leurs outils de prédilection en matière de surveillance, d’observabilité, de sécurité et de gouvernance. Les auteurs de fonctions peuvent utiliser des extensions issues de AWS projets open source, de AWS partenaires et de projets open source. Pour plus d'informations sur l'utilisation des extensions, consultez la section Présentation des AWS Lambda extensions sur le blog AWS Compute. Cette section décrit comment utiliser l’API Extensions Lambda, le cycle de vie de l’environnement d’exécution Lambda et la référence de l’API Extensions Lambda. En tant qu’auteur d’extension, vous pouvez utiliser l’API d’extensions Lambda pour opérer une intégration profonde à l’environnement d’exécution Lambda. Votre extension peut enregistrer les événements du cycle de vie de la fonction et de l’environnement d’exécution. En réponse à ces événements, vous pouvez démarrer de nouveaux processus, exécuter une logique, ainsi que contrôler et orienter toutes les phases du cycle de vie Lambda : initialisation, appel et arrêt. En outre, vous pouvez utiliser l’ API Runtime Logs pour recevoir un flux de journaux. Une extension s’exécute en tant que processus indépendant dans l’environnement d’exécution et peut continuer de s’exécuter une fois l’appel de fonction entièrement traité. Étant donné que les extensions s’exécutent en tant que processus, vous pouvez les écrire dans un langage différent de celui de la fonction. Nous vous recommandons d’implémenter des extensions à l’aide d’un langage compilé. Dans ce cas, l’extension est un fichier binaire autonome compatible avec les environnements d’exécution pris en charge. Tous les Environnements d’exécution (runtimes) Lambda prennent en charge des extensions. Si vous utilisez un langage non compilé, assurez-vous d’inclure un environnement d’exécution compatible dans l’extension. Lambda prend également en charge les extensions internes . Une extension interne s’exécute comme un thread séparé dans le processus d’exécution. L’exécution démarre et arrête l’extension interne. Un autre mode d’intégration à l’environnement Lambda consiste à utiliser des variables d’environnement spécifiques au langage et des scripts encapsuleurs . Vous pouvez utiliser ces paramètres pour configurer l’environnement d’exécution et modifier le comportement de démarrage du processus d’exécution. Vous pouvez ajouter des extensions à une fonction de deux manières. Pour une fonction déployée en tant qu’ archive de fichier .zip , vous déployez votre extension en tant que couche . Pour une fonction définie comme une image de conteneur, vous ajoutez les extensions à cette dernière. Note Pour des exemples d'extensions et de scripts wrapper, voir AWS Lambda Extensions dans le GitHub référentiel AWS Samples. Rubriques Cycle de vie d’un environnement d’exécution Lambda Référence d’API d’extensions Cycle de vie d’un environnement d’exécution Lambda Le cycle de vie de l’environnement d’exécution comprend les phases suivantes : Init : au cours de cette phase, Lambda crée ou libère un environnement d’exécution avec les ressources configurées, télécharge le code pour la fonction et toutes les couches, initialise les extensions, initialise l’exécution et exécute le code d’initialisation de la fonction (code en dehors du gestionnaire principal). La phase Init se produit soit lors de la première invocation, soit avant invocations de fonctions si vous avez activé la simultanéité approvisionnée . La phase Init est fractionnée en trois sous-phases : Extension init , Runtime init et Function init . Ces sous-phases garantissent que toutes les extensions et l’exécution accomplissent leurs tâches de configuration avant l’exécution du code de la fonction. Invoke : au cours de cette phase, Lambda appelle le gestionnaire de la fonction. Une fois l’exécution de la fonction terminée, Lambda se prépare à gérer une autre invocation de fonction. Shutdown : cette phase se déclenche si la fonction Lambda ne reçoit aucune invocation pendant un certain temps. Au cours de la phase Shutdown , Lambda arrête l’exécution, alerte les extensions pour les laisser s’arrêter proprement, puis supprime l’environnement. Lambda envoie à chaque extension un événement Shutdown indiquant que l’environnement est sur le point d’être arrêté. Chaque phase commence par un événement que Lambda envoie au runtime et à toutes les extensions enregistrées. L’exécution et chaque extension signalent la fin de l’opération en envoyant une requête d’API Next . Lambda bloque l’environnement d’exécution lorsque l’exécution de chaque processus est terminée, et qu’il n’y a pas d’événement en attente. Rubriques Phase d’initialisation Phase d’appel Phase d’arrêt Autorisations et configuration Gestion des défaillances Dépannage des extensions Phase d’initialisation Au cours de la phase Extension init , chaque extension doit s’enregistrer auprès de Lambda pour recevoir des événements. Lambda utilise le nom de fichier complet de l’extension pour vérifier que la séquence d’amorçage de celle-ci est terminée. Par conséquent, chaque appel d’API Register doit inclure l’en-tête Lambda-Extension-Name avec le nom de fichier complet de l’extension. Vous pouvez enregistrer jusqu’à 10 extensions pour une fonction. Cette limite est appliquée via l’appel d’API Register . Après l’enregistrement de chaque extension, Lambda démarre la phase Runtime init . Le processus d’exécution appelle functionInit pour démarrer la phase Function init . La phase Init se termine lorsque l’environnement d’exécution et chaque extension enregistrée indiquent la fin de l’opération en envoyant une demande d’API Next . Note Les extensions peuvent terminer leur initialisation à n’importe quel moment de la phase Init . Phase d’appel Lorsqu’une fonction Lambda est appelée en réponse à une requête d’API Next , Lambda envoie un événement Invoke à l’environnement d’exécution et à chaque extension enregistrée pour l’événement Invoke . Note Instances gérées Lambda : les extensions pour les fonctions des instances gérées Lambda ne peuvent pas être enregistrées pour l'événement. Invoke Comme les instances gérées Lambda prennent en charge les appels simultanés au sein d'un même environnement d'exécution, l' Invoke événement n'est pas pris en charge. Les extensions ne peuvent être enregistrées que pour l' Shutdown événement. Si vous devez suivre le début et la fin des invocations, utilisez l'événement de platform.report plateforme via l'API de télémétrie . Pendant l’appel, les extensions externes s’exécutent en parallèle avec la fonction. Elles continuent également à s’exécuter après la fin de la fonction. Cela vous permet de capturer des informations de diagnostic ou d’envoyer des journaux, des métriques et des suivis à l’emplacement de votre choix. Après réception de la réponse de fonction de l’environnement d’exécution, Lambda renvoie celle-ci au client, même si les extensions sont toujours en cours d’exécution. La phase Invoke prend fin lorsque l’environnement d’exécution et toutes les extensions signalent qu’ils ont terminé en envoyant une demande d’API Next . Charge utile de l’événement : l’événement envoyé à l’environnement d’exécution (et à la fonction Lambda) transporte la totalité de la requête, les en-têtes (tels que RequestId ) et la charge utile. L’événement envoyé à chaque extension contient des métadonnées décrivant le contenu de l’événement. Cet événement de cycle de vie inclut le type de l’événement, l’heure à laquelle la fonction expire ( deadlineMs ), la requestId , l’Amazon Resource Name (ARN) de la fonction appelée et les en-têtes de suivi. Les extensions qui souhaitent accéder au corps de l’événement de la fonction peuvent utiliser un kit SDK interne à l’environnement d’exécution qui communique avec l’extension. Les développeurs de fonctions utilisent le kit SDK interne à l’environnement d’exécution pour envoyer la charge utile à l’extension lorsque la fonction est appelée. Voici un exemple de charge utile : { "eventType": "INVOKE", "deadlineMs": 676051, "requestId": "3da1f2dc-3222-475e-9205-e2e6c6318895", "invokedFunctionArn": "arn:aws:lambda:us-east-1:123456789012:function:ExtensionTest", "tracing": { "type": "X-Amzn-Trace-Id", "value": "Root=1-5f35ae12-0c0fec141ab77a00bc047aa2;Parent=2be948a625588e32;Sampled=1" } } Limite de durée : le paramètre d’expiration de la fonction limite la durée de la phase Invoke entière. Par exemple, si vous définissez le délai d’expiration de la fonction sur 360 secondes, la fonction et toutes les extensions doivent être terminées dans un délai de 360 secondes. Notez qu’il n’y a pas de phase post-invocation indépendante. La durée correspond à la durée totale nécessaire pour que votre environnement d’exécution et toutes vos invocations d’extensions se terminent. Elle n’est calculée que lorsque l’exécution de la fonction et de toutes les extensions est terminée. Impact sur les performances et surcharge d’extension : les extensions peuvent avoir un impact sur les performances des fonctions. En tant qu’auteur d’extension, vous contrôlez l’impact de votre extension sur les performances. Par exemple, si votre extension effectue des opérations intensives de calcul, la durée de la fonction augmente, car le code de l’extension et de votre fonction partage les mêmes ressources d’UC. En outre, si votre extension effectue des opérations importantes après la fin de l’appel de fonction, la durée de la fonction augmente, car la phase Invoke continue jusqu’à ce que toutes les extensions signalent qu’elles sont terminées. Note Lambda alloue une puissance de processeur proportionnelle au paramètre de mémoire de la fonction. La durée d’exécution et d’initialisation peut augmenter avec des paramètres de mémoire inférieurs, car les processus de fonction et d’extensions sont en concurrence pour les mêmes ressources de processeur. Pour réduire la durée d’exécution et d’initialisation, essayez d’augmenter le paramètre de mémoire. Pour vous aider à déterminer l’impact sur les performances des extensions dans la phase Invoke , Lambda génère la métrique PostRuntimeExtensionsDuration . Cette métrique mesure le temps cumulé qui s’écoule entre la demande d’API Next de l’environnement d’exécution et la dernière demande d’API Next d’une extension. La métrique MaxMemoryUsed permet de mesurer l’augmentation de la mémoire utilisée. Pour de plus amples informations sur les métriques de fonction, veuillez consulter Utilisation des métriques CloudWatch avec Lambda . Les développeurs de fonctions peuvent exécuter différentes versions de leurs fonctions côte à côte pour comprendre l’impact d’une extension spécifique. Nous recommandons aux auteurs d’extension de publier la consommation de ressources prévue de manière à aider les développeurs de fonction dans leur choix de l’extension appropriée. Phase d’arrêt Quand Lambda est sur le point d’arrêter l’exécution, il envoie un Shutdown à chaque extension externe enregistrée. Les extensions peuvent utiliser ce temps pour les tâches de nettoyage final. L’événement Shutdown est envoyé en réponse à une demande d’API Next . Limite de durée : la durée maximale de la phase Shutdown dépend de la configuration des extensions enregistrées : 0 ms : fonction sans extension enregistrée 500 ms : fonction avec une extension interne enregistrée. 2 000 ms : fonction avec une ou plusieurs extensions externes enregistrées. Si l’environnement d’exécution ou une extension ne répondent pas à l’événement Shutdown dans cette limite de temps, Lambda met fin au processus à l’aide d’un signal SIGKILL . Charge utile d’événement : l’événement Shutdown contient la raison de l’arrêt et le temps restant en millisecondes. shutdownReason contient les éléments suivants : SPINDOWN – Arrêt normal TIMEOUT – Limite de durée dépassée ÉCHEC : condition d’erreur, telle qu’un événement out-of-memory { "eventType": "SHUTDOWN", "shutdownReason": "reason for shutdown", "deadlineMs": "the time and date that the function times out in Unix time milliseconds" } Autorisations et configuration Les extensions s’exécutent dans le même environnement d’exécution que la fonction Lambda. Les extensions partagent également des ressources avec la fonction, telles que le processeur, la mémoire et le disque de stockage /tmp . En outre, les extensions utilisent le même rôle Gestion des identités et des accès AWS (IAM) et le même contexte de sécurité que la fonction. Autorisations d’accès au système de fichiers et au réseau : les extensions s’exécutent dans le même espace de noms de système de fichiers et de nom de réseau que l’environnement d’exécution de la fonction. Cela signifie que les extensions doivent être compatibles avec le système d’exploitation associé. Si une extension nécessite des règles supplémentaires de trafic réseau sortant, vous devez appliquer celles-ci à la configuration de la fonction. Note Étant donné que le répertoire du code de la fonction est en lecture seule, les extensions ne peuvent pas modifier le code de la fonction. Variables d’environnement : les extensions peuvent accéder aux variables d’environnement de la fonction, à l’exception des variables suivantes spécifiques au processus d’environnement d’exécution : AWS_EXECUTION_ENV AWS_LAMBDA_LOG_GROUP_NAME AWS_LAMBDA_LOG_STREAM_NAME AWS_LAMBDA_MAX_CONCURRENCY (Instances gérées par Lambda uniquement) AWS_XRAY_CONTEXT_MISSING AWS_XRAY_DAEMON_ADDRESS LAMBDA_RUNTIME_DIR LAMBDA_TASK_ROOT _AWS_XRAY_DAEMON_ADDRESS _AWS_XRAY_DAEMON_PORT _HANDLER Note Détection des instances gérées Lambda : les extensions peuvent vérifier la variable d' AWS_LAMBDA_INITIALIZATION_TYPE environnement pour déterminer si elles s'exécutent sur des instances gérées Lambda plutôt que sur des fonctions Lambda (par défaut). Il s'agit de la méthode recommandée pour que les extensions adaptent leur comportement en fonction du type d'environnement d'exécution. Gestion des défaillances Échecs d’initialisation : si une extension échoue, Lambda redémarre l’environnement d’exécution pour assurer un comportement cohérent et encourager un échec rapide des extensions. En outre, pour certains clients, les extensions doivent répondre à des besoins stratégiques tels que la journalisation, la sécurité, la gouvernance et la collecte de télémétrie. Échecs d’appel (par exemple, manque de mémoire, expiration de fonction) : les extensions partageant des ressources avec l’environnement d’exécution, elles sont affectées par l’épuisement de la mémoire. Lorsque l’environnement d’exécution échoue, toutes les extensions et l’environnement d’exécution lui-même participent à la phase Shutdown . En outre, l’environnement d’exécution est redémarré soit automatiquement dans le cadre de l’appel actuel, soit via un mécanisme de réinitialisation différée. En cas d’échec (par exemple, dépassement de délai d’attente de fonction ou erreur d’exécution) pendant la phase Invoke , le service Lambda effectue une réinitialisation. La réinitialisation se comporte comme un événement Shutdown . Lambda commence par arrêter l’environnement d’exécution, puis envoie un événement Shutdown à chaque extension externe enregistrée. L’événement comprend le motif de l’arrêt. Si cet environnement est utilisé pour un nouvel appel, l’extension et l’environnement d’exécution sont réinitialisés dans le cadre de l’appel suivant. Pour une explication plus détaillée du diagramme précédent, consultez Échecs pendant la phase d’invocation . Journaux des extensions : Lambda envoie le résultat du journal des extensions à CloudWatch Logs. Lambda génère également un événement de journal supplémentaire pour chaque extension pendant la phase Init . L’événement de journal enregistre le nom et la préférence d’enregistrement (événement, configuration) en cas de succès, ou la raison de l’échec le cas échéant. Dépannage des extensions Si une demande Register échoue, assurez-vous que l’en-tête Lambda-Extension-Name de l’appel d’API Register contient le nom de fichier complet de l’extension. Si la demande Register échoue pour une extension interne, assurez-vous que la demande n’est pas enregistrée pour l’événement Shutdown . Référence d’API d’extensions La spécification OpenAPI pour l’API d’extensions version 2020-01-01 est disponible ici : extensions-api.zip Vous pouvez extraire la valeur du point de terminaison d’API à partir de la variable d’environnement AWS_LAMBDA_RUNTIME_API . Pour envoyer une demande Register , utilisez le préfixe 2020-01-01/ avant chaque chemin d’API. Exemples : http://$ { AWS_LAMBDA_RUNTIME_API}/2020-01-01/extension/register Méthodes d’API Enregistrement Suivant Erreur d’initiation Erreur de sortie Enregistrement Au cours de la phase Extension init , chaque extension doit s’enregistrer auprès de Lambda pour recevoir les événements. Lambda utilise le nom de fichier complet de l’extension pour vérifier que la séquence d’amorçage de celle-ci est terminée. Par conséquent, chaque appel d’API Register doit inclure l’en-tête Lambda-Extension-Name avec le nom de fichier complet de l’extension. Les extensions internes sont lancées et arrêtées par le processus d’environnement d’exécution, de sorte qu’elles ne peuvent pas être enregistrées pour l’événement Shutdown . Chemin – /extension/register Méthode – POST En-têtes de demandes Lambda-Extension-Name : nom de fichier complet de l’extension. Obligatoire : oui. Type : chaîne. Lambda-Extension-Accept-Feature – Utilisez ceci pour spécifier les fonctionnalités optionnelles d’Extensions pendant l’enregistrement. Requis : non. Type : chaîne séparée par des virgules. Fonctions disponibles pour spécifier en utilisant ce paramètre : accountId – Si elle est spécifiée, la réponse d’enregistrement de l’extension contiendra l’ID du compte associé à la fonction Lambda pour laquelle vous enregistrez l’extension. Paramètres du corps de la demande events : tableau des événements pour lesquels s’enregistrer. Requis : non. Type : tableau de chaînes. Chaînes valides : INVOKE , SHUTDOWN . Note Instances gérées Lambda : les extensions pour les fonctions des instances gérées Lambda ne peuvent être enregistrées que pour l'événement. SHUTDOWN Toute tentative d'inscription à l' INVOKE événement provoquera une erreur. Cela est dû au fait que les instances gérées Lambda prennent en charge les appels simultanés au sein d'un environnement d'exécution unique. En-têtes de réponse Lambda-Extension-Identifier : identifiant d’agent unique généré (chaîne UUID) requis pour toutes les requêtes subséquentes. Codes de réponse 200 – Corps de la réponse contenant le nom de la fonction, la version de la fonction et le nom du gestionnaire. 400 – Demande erronée. 403 – Interdit 500 – Erreur de conteneur. État non récupérable. L’extension doit se fermer rapidement. Exemple de corps de la demande { 'events': [ 'INVOKE', 'SHUTDOWN'] } Exemple de corps de la réponse { "functionName": "helloWorld", "functionVersion": "$LATEST", "handler": "lambda_function.lambda_handler" } Exemple de corps de réponse avec la fonction optionnelle accountId { "functionName": "helloWorld", "functionVersion": "$LATEST", "handler": "lambda_function.lambda_handler", "accountId": "123456789012" } Suivant Les extensions envoient une demande d’API Next pour recevoir l’événement suivant, qui peut être un événement Invoke ou un événement Shutdown . Le corps de la réponse contient la charge utile, sous la forme d’un document JSON contenant des données d’événement. L’extension envoie une demande d’API Next pour signaler qu’elle est prête à recevoir de nouveaux événements. Il s’agit d’un appel bloquant. Ne définissez pas de délai d’expiration sur l’appel GET, car l’extension peut être suspendue pendant un certain temps jusqu’à ce qu’il y ait un événement à retourner. Chemin – /extension/event/next Méthode – GET En-têtes de demandes Lambda-Extension-Identifier : identifiant unique pour l’extension (chaîne UUID). Obligatoire : oui. Type : chaîne UUID. En-têtes de réponse Lambda-Extension-Event-Identifier : identifiant unique pour l’événement (chaîne UUID). Codes de réponse 200 : réponse contenant des informations sur l’événement suivant ( EventInvoke ou EventShutdown ). 403 – Interdit. 500 – Erreur de conteneur. État non récupérable. L’extension doit se fermer rapidement. Erreur d’initiation L’extension utilise cette méthode pour signaler une erreur d’initialisation à Lambda. Appelez-la lorsque l’extension ne parvient pas à s’initialiser après son enregistrement. Après que Lambda a reçu l’erreur, aucun autre appel d’API n’aboutit. L’extension doit quitter après avoir reçu la réponse de Lambda. Chemin – /extension/init/error Méthode – POST En-têtes de demandes Lambda-Extension-Identifier : identifiant unique pour l’extension. Obligatoire : oui. Type : chaîne UUID. Lambda-Extension-Function-Error-Type – Type d’erreur rencontré par l’extension. Obligatoire : oui. Cet en-tête se compose d’une valeur de chaîne. Lambda accepte n’importe quelle chaîne, mais nous recommandons le format <category.reason>. Par exemple : Prolongation. NoSuchHandler Prolongation. APIKeyNotFound Prolongation. ConfigInvalid Prolongation. UnknownReason Paramètres du corps de la demande ErrorRequest : informations sur l’erreur. Requis : non. Ce champ est un objet JSON avec la structure suivante : { errorMessage: string (text description of the error), errorType: string, stackTrace: array of strings } Notez que Lambda accepte n’importe quelle valeur pour errorType . L’exemple suivant montre un message d’erreur de fonction Lambda indiquant que la fonction n’a pas pu analyser les données d’événement fournies dans l’invocation. Exemple Erreur de fonction { "errorMessage" : "Error parsing event data.", "errorType" : "InvalidEventDataException", "stackTrace": [ ] } Codes de réponse 202 – Accepté 400 – Demande erronée. 403 – Interdit 500 – Erreur de conteneur. État non récupérable. L’extension doit se fermer rapidement. Erreur de sortie L’extension utilise cette méthode pour signaler une erreur à Lambda avant de quitter. Appelez-la lorsque vous rencontrez une défaillance inattendue. Après que Lambda a reçu l’erreur, aucun autre appel d’API n’aboutit. L’extension doit quitter après avoir reçu la réponse de Lambda. Chemin – /extension/exit/error Méthode – POST En-têtes de demandes Lambda-Extension-Identifier : identifiant unique pour l’extension. Obligatoire : oui. Type : chaîne UUID. Lambda-Extension-Function-Error-Type – Type d’erreur rencontré par l’extension. Obligatoire : oui. Cet en-tête se compose d’une valeur de chaîne. Lambda accepte n’importe quelle chaîne, mais nous recommandons le format <category.reason>. Par exemple : Prolongation. NoSuchHandler Prolongation. APIKeyNotFound Prolongation. ConfigInvalid Prolongation. UnknownReason Paramètres du corps de la demande ErrorRequest : informations sur l’erreur. Requis : non. Ce champ est un objet JSON avec la structure suivante : { errorMessage: string (text description of the error), errorType: string, stackTrace: array of strings } Notez que Lambda accepte n’importe quelle valeur pour errorType . L’exemple suivant montre un message d’erreur de fonction Lambda indiquant que la fonction n’a pas pu analyser les données d’événement fournies dans l’invocation. Exemple Erreur de fonction { "errorMessage" : "Error parsing event data.", "errorType" : "InvalidEventDataException", "stackTrace": [ ] } Codes de réponse 202 – Accepté 400 – Demande erronée. 403 – Interdit 500 – Erreur de conteneur. État non récupérable. L’extension doit se fermer rapidement. JavaScript est désactivé ou n'est pas disponible dans votre navigateur. Pour que vous puissiez utiliser la documentation AWS, Javascript doit être activé. Vous trouverez des instructions sur les pages d'aide de votre navigateur. Conventions de rédaction Partenaires des extensions API de télémétrie Cette page vous a-t-elle été utile ? - Oui Merci de nous avoir fait part de votre satisfaction. Si vous avez quelques minutes à nous consacrer, merci de nous indiquer ce qui vous a plu afin que nous puissions nous améliorer davantage. Cette page vous a-t-elle été utile ? - Non Merci de nous avoir avertis que cette page avait besoin d'être retravaillée. Nous sommes désolés de ne pas avoir répondu à vos attentes. Si vous avez quelques minutes à nous consacrer, merci de nous indiquer comment nous pourrions améliorer cette documentation. | 2026-01-13T09:29:30 |
https://video.fosdem.org/2020/UD2.218A/?C=M&O=D | FOSDEM - video recordings FOSDEM video recordings These talks have been recorded at FOSDEM . Special thanks to AS35701 , Belnet , cyberbits.eu , dotsrc.org , FAU , LibreLabUCM , Nikhef , Onet and OSUOSL for the bandwidth. Please contact video@fosdem.org with any questions. /2020/UD2.218A/ File Name ↓ File Size ↓ Date ↓ Parent directory/ - - ema_boot_linux_only.mp4 144.0 MiB 2020-Feb-17 09:10 ema_boot_linux_only.webm 72.6 MiB 2020-Feb-17 09:10 ema_early_boot.mp4 225.1 MiB 2020-Feb-07 14:24 ema_early_boot.webm 110.0 MiB 2020-Feb-07 14:24 ema_embedded_voip.mp4 188.6 MiB 2020-Feb-17 23:44 ema_embedded_voip.webm 162.4 MiB 2020-Feb-17 23:44 ema_homebridge_with_yocto.mp4 198.7 MiB 2020-Feb-03 23:41 ema_homebridge_with_yocto.webm 173.6 MiB 2020-Feb-03 23:41 ema_iceoryx.mp4 175.3 MiB 2020-Feb-02 18:57 ema_iceoryx.webm 156.3 MiB 2020-Feb-02 18:57 ema_integrating_julius.mp4 187.7 MiB 2020-Feb-19 19:18 ema_integrating_julius.webm 162.8 MiB 2020-Feb-19 19:18 ema_lognplot.mp4 172.6 MiB 2020-Feb-17 20:54 ema_lognplot.webm 121.5 MiB 2020-Feb-17 20:53 ema_low_cost_test_fixture.mp4 161.1 MiB 2020-Feb-10 09:44 ema_low_cost_test_fixture.webm 94.2 MiB 2020-Feb-10 09:44 ema_pipewire.mp4 188.6 MiB 2020-Feb-04 17:44 ema_pipewire.webm 100.1 MiB 2020-Feb-04 17:44 ema_ptxdist.mp4 178.2 MiB 2020-Feb-01 21:45 ema_ptxdist.webm 89.0 MiB 2020-Feb-01 21:45 ema_ros2_evolution.mp4 171.6 MiB 2020-Feb-02 13:06 ema_ros2_evolution.webm 95.3 MiB 2020-Feb-02 13:06 ema_secure_elements.mp4 142.4 MiB 2020-Feb-07 10:02 ema_secure_elements.webm 107.1 MiB 2020-Feb-07 10:02 ema_smoke_detector.mp4 207.6 MiB 2020-Feb-10 10:03 ema_smoke_detector.webm 103.2 MiB 2020-Feb-10 10:03 ema_wpe.mp4 108.3 MiB 2020-Feb-14 14:04 ema_wpe.webm 55.8 MiB 2020-Feb-14 14:04 ema_yocto_extra_tools.mp4 231.7 MiB 2020-Feb-07 15:06 ema_yocto_extra_tools.webm 201.4 MiB 2020-Feb-07 15:06 iotastarte.mp4 138.8 MiB 2020-Mar-05 01:11 iotastarte.webm 110.8 MiB 2020-Mar-05 01:11 iotcheckpointpower.mp4 136.7 MiB 2020-Feb-10 09:24 iotcheckpointpower.webm 75.1 MiB 2020-Feb-10 09:24 iotcircuitpython.mp4 117.3 MiB 2020-Mar-07 18:50 iotcircuitpython.webm 78.2 MiB 2020-Mar-07 18:50 iotdockernoderedopenocd.mp4 107.3 MiB 2020-Mar-07 18:46 iotdockernoderedopenocd.webm 70.0 MiB 2020-Mar-07 18:46 ioteclipse.mp4 122.4 MiB 2020-Feb-05 15:33 ioteclipse.webm 70.5 MiB 2020-Feb-05 15:33 ioterlang.mp4 62.4 MiB 2020-Mar-07 16:39 ioterlang.webm 32.5 MiB 2020-Mar-07 16:39 iotfieldtracks.mp4 197.5 MiB 2020-Feb-02 21:14 iotfieldtracks.webm 146.4 MiB 2020-Feb-02 21:14 iotfoundation.mp4 192.9 MiB 2020-Feb-04 22:17 iotfoundation.webm 126.6 MiB 2020-Feb-04 22:17 iotk8s.mp4 200.2 MiB 2020-Mar-03 19:52 iotk8s.webm 112.9 MiB 2020-Mar-03 19:52 iotmicropython.mp4 165.9 MiB 2020-Mar-07 18:10 iotmicropython.webm 152.4 MiB 2020-Mar-07 18:10 iotmozilla.mp4 117.0 MiB 2020-Feb-02 11:40 iotmozilla.webm 63.9 MiB 2020-Feb-02 11:40 iotmulticast.mp4 102.2 MiB 2020-Feb-03 09:50 iotmulticast.webm 56.1 MiB 2020-Feb-03 09:50 iotnuttx.mp4 127.3 MiB 2020-Feb-09 17:58 iotnuttx.webm 116.3 MiB 2020-Feb-09 17:57 iotpet.mp4 47.6 MiB 2020-Feb-13 13:19 iotpet.webm 39.9 MiB 2020-Feb-13 13:19 iotsphactor.mp4 124.4 MiB 2020-Feb-06 09:52 iotsphactor.webm 78.0 MiB 2020-Feb-06 09:52 iottarantool.mp4 80.3 MiB 2020-Mar-07 17:27 iottarantool.webm 37.1 MiB 2020-Mar-07 17:27 iottensorflow.mp4 124.9 MiB 2020-Feb-03 16:01 iottensorflow.webm 84.4 MiB 2020-Feb-03 16:01 iottinygo.mp4 214.9 MiB 2020-Feb-05 09:01 iottinygo.webm 195.4 MiB 2020-Feb-05 09:01 iotwolfboot.mp4 191.9 MiB 2020-Feb-04 09:09 iotwolfboot.webm 94.6 MiB 2020-Feb-04 09:09 iotzyre.mp4 132.8 MiB 2020-Mar-07 16:27 iotzyre.webm 116.1 MiB 2020-Mar-07 16:27 This work is licensed under the Creative Commons Attribution 2.0 Belgium Licence. To view a copy of this licence, visit http://creativecommons.org/licenses/by/2.0/be/deed.en or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA. | 2026-01-13T09:29:30 |
https://github.blog/changelog/2025-12-17-gpt-5-1-codex-max-is-now-generally-available-in-github-copilot/ | GPT-5.1-Codex-Max is now generally available in GitHub Copilot - GitHub Changelog Skip to content Skip to sidebar / Blog Changelog Docs Customer stories Try GitHub Copilot See what's new Search Changelog Docs Customer stories See what's new Try GitHub Copilot Back to changelog Release December 17, 2025 • 1 minute read GPT-5.1-Codex-Max is now generally available in GitHub Copilot Table of Contents Enabling access Share your feedback Menu. Currently selected: Enabling access Enabling access Share your feedback GPT-5.1-Codex-Max is generally available to Copilot Enterprise, Copilot Business, Copilot Pro, and Copilot Pro+. You’ll now be able to access the model in GitHub Copilot Chat on github.com, GitHub Mobile, Visual Studio Code, Visual Studio, JetBrains IDEs, Xcode, and Eclipse through the chat model picker (agent, ask, and edit modes). If you do not yet have access, please check again later. Enabling access Copilot Business and Copilot Enterprise administrators must opt in by enabling the new GPT-5.1-Codex-Max policy in Copilot settings. Once enabled, users in that organization will see the model in the model picker across all supported IDEs. For individual plans, enable the model by selecting it in the model picker in any supported IDE and confirming the one-time prompt. Share your feedback To learn more about the models available in Copilot, see our documentation on models and get started with Copilot today. Join the GitHub Community to share your feedback. Table of Contents Enabling access Share your feedback Menu. Currently selected: Enabling access Enabling access Share your feedback copilot Share Copied Shared Back to changelog Related Posts Jan.06 Release Gemini 3 Flash is now available in Visual Studio, JetBrains IDEs, Xcode, and Eclipse copilot Dec.19 Release Copilot memory early access for Pro and Pro+ copilot Dec.18 Improvement Assigning GitHub Copilot to an issue now adds you as an assignee copilot projects & issues ... +1 Dec.18 Release GitHub Copilot now supports Agent Skills copilot Dec.18 Release Claude Opus 4.5 is now generally available in GitHub Copilot copilot Dec.18 Improvement Copilot code review preview features now supported in GitHub Enterprise Cloud with data residency copilot Dec.18 Release Enterprise-level pull request activity now included in Copilot Usage Metrics in public preview copilot Dec.17 Release GPT-5.2 is now generally available in GitHub Copilot copilot Dec.17 Release GPT-5.1 and GPT-5.1-Codex are now generally available in GitHub Copilot copilot Subscribe to our developer newsletter Discover tips, technical guides, and best practices in our biweekly newsletter just for devs. Enter your email * Subscribe By submitting, I agree to let GitHub and its affiliates use my information for personalized communications, targeted advertising, and campaign effectiveness. See the GitHub Privacy Statement for more details. Back to top Site-wide Links Product Features Security Enterprise Customer Stories Pricing Resources Platform Developer API Partners Atom Electron GitHub Desktop Support Docs Community Forum Training Status Contact Company About Blog Careers Press Shop © 2026 GitHub, Inc. Terms Privacy Manage Cookies Do not share my personal information LinkedIn icon GitHub on LinkedIn Instagram icon GitHub on Instagram YouTube icon GitHub on YouTube X icon GitHub on X TikTok icon GitHub on TikTok Twitch icon GitHub on Twitch GitHub icon GitHub’s organization on GitHub | 2026-01-13T09:29:30 |
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