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X-WR-CALNAME:Building Agent Memory and Uncovering Bottlenecks with Elastic and Gigamon
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UID:building-agent-memory-and-uncovering-bottlenecks-with-elastic-and-gigamon@aiweek.boston
DTSTAMP:20260916T224906Z
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SUMMARY:Building Agent Memory and Uncovering Bottlenecks with Elastic and
  Gigamon
DESCRIPTION:​Join the Boston Elastic User Group and Gigamon on Tuesday\, 
 September 29 at The Foundry for an evening focused on AI agent memory and
  faster root-cause analysis. Learn how to build long-term memory for AI a
 gents with Elastic and how Elastic and Gigamon can help uncover bottlenec
 ks across complex application environments.\n\n​Connect with fellow engin
 eers and practitioners while gaining practical insights into AI\, observa
 bility\, and troubleshooting. Pizza and refreshments will be provided. 🍕
 \n\n​📅 Date and Time:\nTuesday\, September 29th\, from 5:30-7:30 pm EDT\
 n\n​📍Location:\nThe Foundry - 101 Rogers St\, Cambridge\, MA 02142\nWe w
 ill be in Shop 6\n\n​📄 Arrival Instructions:\n\n​Both main entrances on 
 Rogers Street and the side entrance through the yard will be unlocked. Pl
 ease check in at the welcome desk at the front of the building\, and the 
 onsite team will direct you to the event space.\n\n​📝Agenda:\n\n​5:30 pm
 : Doors open\; say hi and eat some food.\n\n​6:00 pm: Building long-term 
 agent memory in Elastic - Susan Chang - Principal Data Scientist at Elast
 ic\n\n​6:30 pm: Hiding in Allowed Traffic: Network-Derived Evidence for M
 odern Threat Detection- Roman Roytfeld - Senior Sales Engineer at Gigamon
 \n\n​7:30 pm: Event ends\n\n​💭 Talk Abstracts:\nHiding in Allowed Traffi
 c: Network-Derived Evidence for Modern Threat Detection - Roman Roytfeld 
 - Senior Sales Engineer at Gigamon\nModern applications fail across compl
 ex service chains\, but observability data alone may not reveal where lat
 ency begins. In this technical session\, Gigamon and Elastic show how net
 work-derived intelligence and application metadata can enrich Elastic Obs
 ervability. 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.\n\n​Building long-term
  agent memory in Elastic - Susan Chang - Principal Data Scientist at Elas
 tic\nDetails coming soon!
LOCATION:The Foundry -\, 101 Rogers St\, Cambridge\, MA 02142
URL:https://aiweek.boston/schedule/building-agent-memory-and-uncovering-b
 ottlenecks-with-elastic-and-gigamon
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