Building Agent Memory and Uncovering Bottlenecks with Elastic and Gigamon

Join the Boston Elastic User Group and Gigamon on Tuesday, September 29 at The Foundry for an evening exploring AI agent memory, Elasticsearch, observability, and modern threat detection.

Learn how developers can give AI agents long-term memory using Elastic, then discover how network-derived intelligence can uncover application bottlenecks and accelerate root-cause analysis across hybrid cloud and Kubernetes environments.

Whether you work with AI agents, generative AI, search, machine learning, observability, security, or application infrastructure, you’ll leave with practical insights from experts at Elastic and Gigamon.

Pizza and refreshments will be provided. 🍕

⚡️ Interested in giving a talk? ⚡️
Are you interested presenting on your Elastic use case? We welcome 5-10 minute lightning talks, 45-minute deep dives, and everything in between. If you're interested, please send an email to meetups@elastic.co

📅 Date and Time:
Tuesday, September 29th, from 5:30-7:30 pm EDT

📍Location:
The Foundry - 101 Rogers St, Cambridge, MA 02142
We will be in Shop 6

📄 Arrival Instructions:
Both main entrances on Rogers Street and the side entrance through the yard will be unlocked. Please check in at the welcome desk at the front of the building, and the onsite team will direct you to the event space.

📝Agenda:

• 5:30 pm: Doors open; say hi and eat some food.
• 6:00 pm: Building long-term agent memory in Elastic - Susan Chang - Principal Data Scientist at Elastic
• 6:30 pm: Hiding in Allowed Traffic: Network-Derived Evidence for Modern Threat Detection - Roman Roytfeld - Senior Sales Engineer at Gigamon
• 7:30 pm: Event ends

💭 Talk Abstracts:
Hiding in Allowed Traffic: Network-Derived Evidence for Modern Threat Detection - Roman Roytfeld - Senior Sales Engineer at 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.

Building long-term agent memory in Elastic - Susan Chang - Principal Data Scientist at Elastic
Details coming soon!