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UID:10000782-1792692000-1792697400@opensearch.org
SUMMARY:Washington DC User Group - October 22 2026
DESCRIPTION:Teaching your Agent to Read a Cluster \nAgenda: \n\n6-6:30 pm: Networking and food/drinks\n6:30-7:15 pm: Announcements and presentation\n7:15 pm-7:30 pm: Q&A and close-out\n\nTeaching your Agent to Read a Cluster\nAgentic performance analysis for OpenSearch\, from MCP to source graphs to a knowledge base of the whole project \nMost engineers who use OpenSearch do not operate it. They write queries\, own a search pipeline\, or ship a feature against a cluster somebody else runs. When performance degrades\, the evidence already exists\, sitting behind APIs\, metric graphs and logs that all assume developers already know which one to read.\nThis session builds an agentic analysis workflow in three cumulative layers\, live\, using components that already ship in the OpenSearch open source project. \nFirst\, the OpenSearch project’s official MCP server and its agent skills repository. Developers install one package\, point it at a cluster endpoint\, add a few lines to their agent configuration\, and start asking questions in plain English. There is no plugin to build\, no skill to write\, no model to fine tune\, and nothing to change on the cluster itself\, so no approval is needed from whoever owns it. Whatever harness a team already uses stays the harness they use. \nSecond\, structural context. Knowledge graphs built over the latest OpenSearch source tree and its Apache Lucene dependency\, so the agent can reason about why a symptom occurs instead of only reporting that it does. \nThird\, grounded knowledge on top of both. The graphs stay in place\, and the agent also gets the full OpenSearch documentation and Lucene query cost semantics through a Bedrock knowledge base backed by an OpenSearch vector store. All three layers working together are what make the analysis accurate enough to trust on a live cluster or after an incident. \nThe session closes with how to package all of it into a repeatable workflow. The goal is accurate root cause identification without first becoming an OpenSearch internals expert. \nRSVP and Agenda here
URL:https://opensearch.org/event/washington-dc-user-group-october-22-2026/
CATEGORIES:Community,Events
ATTACH;FMTTYPE=image/png:https://opensearch.org/wp-content/uploads/2025/12/OpenSearch-WashingtonDC-Skyline-01-scaled.png
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DTSTART;TZID=Asia/Kolkata:20261031T090000
DTEND;TZID=Asia/Kolkata:20261031T130000
DTSTAMP:20261012T145039Z
CREATED:20261012T145038Z
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UID:10000784-1793437200-1793451600@opensearch.org
SUMMARY:Kerala User Group - October 31 2026
DESCRIPTION:Welcome to the first meetup of the OpenSearch Kerala User Group! 🎉\nWe’re bringing together developers\, DevOps and SRE engineers\, platform engineers\, cloud architects\, data engineers\, students\, and open-source enthusiasts to explore the world of OpenSearch\, search technologies\, observability\, and AI.\nWhether you’re already running OpenSearch in production or just curious to learn what it can do\, this meetup is for you.\nOur goal is simple: Learn\, Share\, Build\, and Contribute. \n## 🔎 What to expect \n\nTechnical Talks: Learn from real-world experiences and practical implementations.\nSearch & Observability: Explore search\, log analytics\, and monitoring use cases.\nAI & Vector Search: Discover how OpenSearch supports AI-powered applications and RAG.\nCloud-Native Engineering: Discuss running and scaling OpenSearch on AWS and Kubernetes.\nCommunity Networking: Meet fellow engineers\, exchange ideas\, and connect with the open-source community.\n\nAgenda and RSVP here
URL:https://opensearch.org/event/kerala-user-group-october-31-2026/
CATEGORIES:Community,Events
ATTACH;FMTTYPE=image/png:https://opensearch.org/wp-content/uploads/2026/09/OpenSearch-KeralaKochi-Skyline_01.png
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