Seeing Isn't Believing - A Practical Guide to AI Trace Analysis
CNCF [Cloud Native Computing Foundation] via YouTube
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Learn how to effectively leverage AI agents for analyzing distributed traces in this 35-minute conference talk from CNCF. Explore three distinct presentation approaches for feeding OpenTelemetry trace data to Large Language Models (LLMs) and understand the critical tradeoffs between each method. Discover how LLMs interpret and process trace data, gain insights into designing robust trace analysis tools powered by artificial intelligence, and benefit from practical lessons learned about ensuring high-quality AI-driven analysis of distributed system traces. Master strategies for implementing AI-powered observability solutions that can effectively parse and analyze complex distributed system behavior through trace data.
Syllabus
Seeing Isn’t Believing - A Practical Guide To AI Trace Analysis - Austin Parker, honeycomb.io
Taught by
CNCF [Cloud Native Computing Foundation]