BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//cfp.cloud-native.rejekts.io//PHPK7Y
BEGIN:VTIMEZONE
TZID:EST
BEGIN:STANDARD
DTSTART:20001029T030000
RRULE:FREQ=YEARLY;BYDAY=-1SU;BYMONTH=10;UNTIL=20061029T070000Z
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:STANDARD
DTSTART:20071104T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20000402T030000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=4;UNTIL=20060402T080000Z
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
BEGIN:DAYLIGHT
DTSTART:20070311T030000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-cloud-native-rejekts-atlanta-na-atlanta-2025-PHPK7Y@cfp.cloud-n
 ative.rejekts.io
DTSTART;TZID=EST:20251108T114500
DTEND;TZID=EST:20251108T121500
DESCRIPTION:As observability systems grow more complex\, the cognitive load
  on users increases quite fast. This talk presents an approach that could 
 be game-changer in the future: using AI assistants as intelligent interfac
 es to your observability stack. By implementing and using MCP (Model Conte
 xt Protocol) servers\, we can transform how observability users interact w
 ith metrics\, logs\, and traces. You will see how teams can query their st
 ack in plain English and use natural language to explore data\, debug issu
 es\, and even work with configurations.\nThe session covers both theoretic
 al foundations and practical implementation. It demonstrates how you can i
 ntegrate AI assistants directly into your day-to-day workflows and provide
 s a comprehensive walkthrough of:\n- MCP architecture and how it enables L
 LMs (Large Language Models) to execute observability tasks\n- Setting up a
 nd configuring MCP servers (demonstrated with VictoriaMetrics) and integra
 tion with popular AI assistants\n- Current and planned features of Victori
 aMetrics MCP Server\n- Real-world use cases: data exploring\, query explan
 ation\, working with alerting rules\, cardinality analysis\, intelligent d
 ebugging\, obtaining context-rich answer for your questions\, etc\n- Vario
 us tips on how to make AI assistants work better with the observability st
 ack\nWhether you're an SRE looking to reduce toil\, a platform engineer se
 eking to democratize monitoring access\, or a leader evaluating AI's role 
 in operations\, this talk provides practical insights and tools for possib
 le transformation of your observability practice.\nThis approach doesn't r
 eplace monitoring expertise at the moment — it amplifies it\, making exp
 ert knowledge accessible to entire teams\, giving you a powerful teammate 
 in the form of AI assistant.
DTSTAMP:20260812T110614Z
LOCATION:Crystal Dining Room
SUMMARY:How to Use an AI Assistant with Your Monitoring System - Mathias Pa
 lmersheim
URL:https://cfp.cloud-native.rejekts.io/cloud-native-rejekts-atlanta-na-atl
 anta-2025/talk/PHPK7Y/
END:VEVENT
END:VCALENDAR