K8sRCA is a Kubernetes Root Cause Analysis (RCA) solution powered by a Large Language Model (LLM) and enhanced with a real-time resource graph of your Kubernetes environment. It captures the live state and relationships of Pods, Nodes, and Namespaces, enabling deep infrastructure issue diagnosis. Users can interact directly via Slack by asking questions like “Why is pod X in CrashLoopBackOff?”—the LLM then generates context-aware, actionable responses by leveraging underlying resource graph data.

Designed for platform engineers, SRE teams, and Kubernetes administrators, K8sRCA simplifies troubleshooting in complex, dynamic environments. It bridges user queries with real-time graph-based system context to deliver intelligent, automated analysis.

K8sRCA tackles the growing operational complexity of Kubernetes. Traditional methods rely on manual log, event, and configuration inspections, but K8sRCA makes infrastructure context instantly accessible and interpretable—accelerating root cause analysis and boosting system visibility.