

Facets Office Hours #13: Kubernetes AI Agent
Introducing the Kubernetes AI Agent
Built on the foundation of your orchestrator’s cluster topology, RBAC policies, and telemetry, this agent transforms Kubernetes operations into conversational workflows:
Natural-Language Troubleshooting: “Why is the inventory pod in CrashLoopBackOff?” or “Show me network latency spikes in the last 30 minutes”—get contextual, step-by-step answers without digging through logs or dashboards.
Context-Aware Diagnostics: The Agent “knows” your cluster’s architecture, permissions, and relationships, so every recommendation is scoped to your actual environment and compliant with your security posture.
Seamless Onboarding: No extra agents, no new credentials. Just click “Ask AI” on any Kubernetes cluster card in the Facets console, and start querying—backed by the same hardened kubeconfig credentials and RBAC controls you’ve already set up.
Actionable Insights: Receive clear, prioritized next steps: from resizing node pools and tuning autoscalers, to pinpointing flapping pods and isolating network policies that need attention.
This is only the beginning. With the Kubernetes AI Agent live in your environment, you’re already experiencing the power of contextual AI atop a proven orchestrator.