Part of Elastic - 138 groups

Elastic Seattle User Group

4.7•94 ratings

About us

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

See all

From Streams to Search: Real-Time Data with Kafka + Elasticsearch
Mon, Mar 16 · 4:30 PM PDT
AWS Skills Center, 1007 Stewart St, Seattle, WA, US
The Elastic Seattle User Group & Seattle Apache Kafka Meetup are partnering for a joint meetup on Monday, March 16th. We'll have presentations from followed by food, refreshments, and networking.

📅 Date & Time:
Monday, March 16th from 4:30-6:30pm PST

📍Location:
AWS Skills Center (across the street from its former location at the Amazon Kiro building)

Amazon Oscar building
1007 Stewart St
2nd floor
Seattle, WA 98101

🚗 Parking:
- SpotHero - Book a parking spot in advance
🪧 Arrival Instructions:
- Guests will go upstairs to the AWS Skills Center on 2nd floor. It’s directly up the stairs or elevator or they can use escalator and just follow floor signage to navigate to the entrance.
- Check-in with our guest reception team and then be directed to the rooms. Even though the Skills Center closes at 5pm, they will be open for the user group.
📝 Agenda:
- 4:30pm Doors open
- 5:00 pm: One Does Not Simply Query a Stream - Viktor Gamov, Principal Developer Advocate, Confluent
- 5:45 pm: Talk # 2 - Peter Simkins Sr. Solutions Architect at Elastic - Details coming soon!
- 6:30 pm: Event ends
💭Talk Abstracts:
One Does Not Simply Query a Stream - Viktor Gamov, Principal Developer Advocate, Confluent

Streaming data with Apache Kafka® has become the backbone of modern applications. While streams are ideal for continuous data flow, they lack built-in querying capabilities. Unlike databases with indexed lookups, Kafka’s append-only logs are designed for high-throughput processing—not for on-demand queries. This necessitates additional infrastructure to query streaming data effectively.Traditional approaches replicate stream data into external stores: relational databases like PostgreSQL for operational queries, object storage like S3 accessed via Flink, Spark, or Trino for analytics, and Elasticsearch for full-text search and log analytics. Each serves a purpose—but they also introduce silos, schema mismatches, freshness issues, and complex ETL pipelines that increase system fragility.In this session, we’ll explore solutions that aim to unify operational, analytical, and search workloads across real-time data.

We'll demonstrate stream processing with Kafka Streams, Apache Flink®, and SQL engines; real-time analytics with Apache Pinot® ; search capabilities with Elasticsearch; and modern lakehouse approaches using Apache Iceberg® with Tableflow to represent Kafka topics as queryable tables. While there's no one-size-fits-all solution, understanding the tools and trade-offs will help you design more robust and flexible architectures.
9 attendees