What we’re about
We’re delighted to have you join the Elastic global community! This group is for anyone interested in making data usable in real-time and at scale for use cases like security, observability, enterprise search, and many more, using our Elasticsearch, Kibana, Logstash, and Beats products (https://www.elastic.co/products/).
Speak at a meetup: The Community wants to hear from you! Present about your Elastic Stack stories, be it a 5-15 minute lightning talk or a detailed 25-45 minute technical presentation with Q&A. Our Speaker Guide is full of tips on giving a stellar presentation. If you’re interested, visit the elastic/call-for-meetups repo or send us an email at meetups@elastic.co.
Elastic Community Youtube Channel: All meetups are recorded and uploaded to YouTube within a few days of the event. Subscribe here to stay up to date!
Local community organizers wanted!
We’re always on the lookout for committed local organizers who will help the group thrive. If this sounds interesting to you, the Community Team at Elastic is here to support you! Email us at meetups@elastic.co.
We know that people enjoy giving back to the communities they care about, so we’ve created an Organizer guide to help you get started on your path to leading an Elastic user group.
Learn more about Elastic:
Elastic Contributor Program: https://www.elastic.co/community/contributor
Elastic Community: https://www.elastic.co/community
Community Newsletter: https://www.elastic.co/community/newsletter
Discussion Forums: https://discuss.elastic.co/
Elastic Cloud Free Trial: https://www.elastic.co/cloud/elasticsearch-service/signup
Code of Conduct: This Meetup community adheres to the Elastic Community Code of Conduct. Attendance to events run as part of this Meetup group means you agree to be an awesome human and engage by these rules.
Upcoming events (1)
See all- Advanced Document ETL and AI Agent Design with ElasticsearchSURF Incubator, Seattle, WA
Join the Elastic Seattle User Group and Aryn on Wednesday, July 16th for an exciting meetup.
We’ll feature presentations from Justin Castilla (Sr. Developer Advocate at Elastic) and Jonathan Fritz (Aryn), followed by networking, refreshments, and pizza with the Seattle tech and Elastic community.
📅Date and Time:
Wednesday, July 16th from 5:30-7:30 pm PDT📍Location:
999 3rd Ave SUITE 700, Seattle, WA 98104 - We'll be in the Sunset Beach room🚗 Parking:
- The building has paid, secure onsite parking located on Madison St between 2nd and 3rd Avenues
- Book a spot on SpotHero
🪧 Arrival Instructions:
Upon arrival at 999 3rd Ave, head to the Surf Incubator on floor 7. The meetup will take place in the Sunset Beach room.Please note: The building locks after 6pm -
The building locks for individuals who park outside of the onsite garage after 6pm, so we recommend arriving at the meetup start time of 5:30 or using the onsite garage if you are running late.If you park in the onsite garage, attendees can access floor 7 with no restrictions after 6pm.
📝 Agenda:
- 5:30 pm: Doors open; say hi and eat some food
- 6:30 pm: Document ETL for RAG and Semantic Search with Aryn DocParse and Sycamore (Jonathan Fritz at Aryn)
- 7:00 pm: Building Search-Aligned Autonomous Systems with MCP, Elastic, and Tron - Justin Castilla (Sr. Developer Advocate at Elastic)
- 7:30 pm: Event ends
💭 Talk Abstracts:
Document ETL for RAG and Semantic Search with Aryn DocParse and Sycamore (Jonathan Fritz at Aryn)
It’s critical to properly prepare unstructured data when building RAG or semantic search applications with Elasticsearch. Creating the proper ETL pipelines with document segmentation, table and image extraction, OCR, data enrichment, data cleaning, and more is not trivial when dealing with complex data. In this session, we’ll show how to build advanced document ETL pipelines with the open source, scalable Sycamore library and use Aryn DocParse for critical processing steps.Building Search-Aligned Autonomous Systems with MCP, Elastic, and Tron (Justin Castilla, Elastic)
Autonomous agents become more capable, yet they also become harder to trust - similar to the MCP of Tron long ago! The modern Model Context Protocol (MCP) introduces structure to an agent's reasoning by clearly defining context layers and transitions. In this talk, you'll learn how Elastic can serve as the memory, grounding, and trace layer for MCP-based systems—bringing observability and accuracy to otherwise “black-boxy” LLM behaviors. We'll walk through a working example that shows how Elastic and MCP combine to build search-aligned, interpretable, and reliable agentic AI.
Key Takeaways:
- Understand what MCP is and why it's important for agentic systems
- See how Elastic acts as both the memory and the observability layer
- Learn how to combine these for more robust and interpretable AI agents
