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Autonomously diagnose Kubernetes issues and surface real-time troubleshooting insights.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "PrismSRE" yet — see the docs or source repo.
Please inspect recently abnormal Pods, logs, and Deployment states in my Kubernetes cluster, identify likely failure causes, and provide prioritized troubleshooting recommendations.
A summary of affected components, likely root causes, relevant log clues, and step-by-step troubleshooting recommendations.
My service suddenly became unavailable. Analyze related Pods, Deployments, and logs to determine whether crashes, misconfiguration, or resource shortages are involved.
Fault localization results, impact scope, suspected configuration or resource issues, and recommended remediation directions.
Using the cluster’s current read-only state data, continuously summarize key operational risks, anomaly trends, and workloads that need immediate attention.
A real-time risk overview, anomaly trend summary, and a prioritized list of workloads requiring attention.
Use natural language to query SLOs, alerts, runbooks, and manage incidents.
Use Prisme.ai workspace, automation, files, and AI knowledge tools via MCP.
Integrate Drive, RAG, and memory for context-aware AI knowledge management.
Query Kubernetes, metrics, and CI status with safe operational previews.
Fetch and analyze Gemini Code Assist reviews on GitHub pull requests.
Query Kubernetes policy status in natural language with compliance framework context.