In today's micro-services world, Kubernetes clusters are bursting with services deployed as pods in containers. As scale grows, monitoring logs and extracting actionable insights demands a stack of observability tools—like Prometheus, Grafana, Loki, Zipkin —that pile on even more resource overhead and deployment complexity.

Imagine skipping all that: just ask an AI agent to analyse your pod logs, delivering a concise summary with clear root causes for failures. How cool would that be?