Beyond Root Cause Analysis for K8s: What Your Logs Should Be Telling You

This 15-minute conference talk from CNCF explores advanced techniques for maximizing the value of Kubernetes logs beyond traditional root cause analysis. Learn how to transform logs from overwhelming data streams into actionable intelligence through log summarization methods that reduce volume while preserving critical insights. Discover strategies for enhancing logs with key attributes and metrics to enable faster troubleshooting and reduced mean time to resolution (MTTR) in cloud-native environments. The presenters, Ronit Belson and Erez Rusovsky from Sawmills, demonstrate how semantic log understanding powered by AI and large language models (LLMs) can automatically extract meaningful insights and provide deeper context about system behaviors and application flows, ultimately making your logging infrastructure more efficient and valuable for Kubernetes operations.