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Auto-Diagnosing Kubernetes Alerts with HolmesGPT and CNCF Tools

Auto-Diagnosing Kubernetes Alerts with HolmesGPT and CNCF Tools

STCLab built an AI investigation pipeline with HolmesGPT, a 200-line Python playbook, and OpenTelemetry. It streamed Mimir, Loki, and Tempo into Slack threads.

Metadata-driven markdown runbooks limited tools per namespace, cut wasted tool calls from 16 to 2, and let the same model resolve alerts faster.


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