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Meetups for people working with search. Technical talks about full-text search, vector databases, LLMs, ML, observability, and data at scale. Sponsored by Elastic.

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From Root Cause to AI Agents: Elastic & Gigamon in Action

Name: From Root Cause to AI Agents: Elastic & Gigamon in Action
Start: 2026-09-23T17:30:00.000-05:00
End: 2026-09-23T20:00:00.000-05:00
Location: 222 S Riverside Plaza

You Know, for Search

222 S Riverside Plaza

Chicago, IL

Welcome! To join the event, please register below.

About Event

Join the Elastic Chicago User Group and Gigamon on Wednesday, September 23rd for a meetup. We'll have presentations from followed by food, refreshments, and networking.

Thank you to Improving for hosting our meetup. Improving is a modern digital services consulting firm focused on solving business problems with innovative technical solutions.

RSVP Instructions:
Please provide your email when you register for this event. Please bring an ID to the event for check-in.

📅 Date and Time:
Wednesday, September 23rd from 5:30-8:00 pm

📍Location:
Improving - 222 S Riverside Plaza 15th Floor, Chicago, IL 60606

🔑 Arrival Instructions:

Please bring an ID for check-in
Upon arrival at 222 Riverside, check in at the Improving table
Take the elevator to the 15th floor - the meetup will be in the common area through the doors.

🚗 Parking:

SpotHero is a great option to resvere parking in advance
Improving recommends the following parking garages: 229 S. Desplaines St (which is also the 625 W. Adams building), 500 West Monroe, and the outdoor lot at 718 W Monroe.

📝Agenda:

5:30 PM – Doors open, grab a seat, and enjoy some pizza!
6:00 PM – Welcome & Introduction by Improving
6:05 pm – Finding the Bottleneck: Root-Cause Analysis with Elastic and Gigamon - Yorrick Barnay (Gigamon)
6:45 – Build Smarter AI Agents with Elastic: Skills, Workflows & Agent Builder - Shanker Nagappa (Principal Customer Architect at Elastic)
7:15 pm: Networking and refreshments
8:00 pm: Event ends

💭 Talk Abstracts:
Finding the Bottleneck: Root-Cause Analysis with Elastic and Gigamon - Yorrick Barnay (Gigamon)
Modern applications fail across complex service chains, but observability data alone may not reveal where latency begins. In this technical session, Gigamon and Elastic show how network-derived intelligence and application metadata can enrich Elastic Observability. Learn to map client-to-app dependencies, separate network, application, HTTP, and DNS latency, and isolate degraded service edges across hybrid cloud and Kubernetes. Leave with a practical framework for faster, evidence-based root-cause analysis and clearer ownership across network, platform, SRE, and application teams.

Build Smarter AI Agents with Elastic: Skills, Workflows & Agent Builder - Shanker Nagappa (Principal Customer Architect at Elastic)
Details coming soon!

Location