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
1
Self-Correcting ML + Multimodal Search with Elastic
4100 Fairfax Dr ste 500, Arlington, VA, USJoin the Elastic Washington, D.C. User Group on Wednesday, September 16th for an exciting meetup.
We’ll feature a presentation from Kritika Berry and Josh Phifer, followed by networking, refreshments, and pizza with the DC tech and Elastic community.
Date and Time:
Wednesday, September 16th, from 5:30-7:30 pm EDTLocation:
Elastic Arlington Office - 4100 Fairfax Drive, Ste 500, Arlington, VA 22203Parking:
- The building’s parking garage is operated by Colonial Parking and is located off N. Randolph Street
- Book a spot on SpotHero
- A Metro Station is located across the street
Agenda:
- 5:30 pm: Doors open; say hi, grab a seat, and eat some food.
- 6:00 pm: Dashboards to Decisions: A Self-Correcting ML Loop with Elastic Observability - Kritika Berry
- 6:40 pm: Building Multimodal Search with Elastic and Jina - Josh Phifer, Principal Solutions Architect at Elastic
- 7:20-7:30 pm: Networking & refreshments
Talk Abstracts:
Dashboards to Decisions: A Self-Correcting ML Loop with Elastic Observability - Kritika Berry (Software Engineer)
Most ML pipelines face a drop in accuracy or a spike in latency as it gradually trains which goes unnoticed until someone downstream complains. In this talk I’ll show how I wired Elastic Observability into my ML workflow so the pipeline watches itself: logs, metrics, and traces feed back into the system to catch drift and errors, then trigger corrective action automatically. This session delivers a practical pattern for turning observability data from something you just look at into something that actually fixes your models.Building Multimodal Search with Elastic and Jina Josh Phifer, Principal Solutions Architect at Elastic
We’ll walk through two demos using Elastic and Jina to power multimodal search.
The first is an artwork search experience where users can search with text, images, or a combination of both. From there, an agent can help narrow the results, compare pieces, and explore similarities across style, subject matter, color, and other visual details.
The second demo applies the same concepts to video. Videos are divided into searchable segments, making it possible to find specific scenes, objects, actions, or topics with a simple question. The agent can search across clips, follow related results, and take users directly to the moments that matter.
We’ll wrap up with a look at how both applications were built, what worked well, and some of the implementation details and tradeoffs behind each approach.6 attendees
Past events
55
