Kubernetes Operations

What it does

This skill enables AI agents to automate and manage Kubernetes clusters, deployments, and troubleshoot issues using kubectl commands and cloud-native best practices. It provides expertise in workload management (Deployments, StatefulSets, etc.), networking (Services, Ingress), configuration & storage (ConfigMaps, PersistentVolumes), and debugging. The agent will prioritize declarative YAML manifests for resource management and emphasizes validation and verification after applying changes.

When to use it

• You need to deploy new applications or update existing deployments within a Kubernetes cluster.
• You are experiencing issues with pod crashes (CrashLoopBackOff) or other application errors and require assistance in debugging.
• You want to monitor the health of your nodes, pods, and services within a Kubernetes environment.
• You need to inspect resource usage (CPU, memory) for pods and nodes.
• You're performing routine cluster maintenance tasks like cleanup of unused resources.

Key capabilities

• Workload Management: Deploying, updating, and managing various Kubernetes workloads including Deployments, StatefulSets, DaemonSets, Jobs, and CronJobs.
• Networking Configuration: Managing Services, Ingress, NetworkPolicies, and DNS configurations within the cluster.
• Configuration & Storage: Handling ConfigMaps, Secrets, PersistentVolumes, and PersistentVolumeClaims.
• Troubleshooting: Debugging pods, analyzing logs, inspecting cluster events, and identifying common issues like CrashLoopBackOff.
• Manifest-First Approach: Prioritizing declarative YAML manifests for resource management.
• Validation & Verification: Utilizing --dry-run flags and inspection commands (kubectl get, kubectl describe) to ensure changes are valid and successful.

Example prompts

• "Deploy the application defined in my-app.yaml."
• "What is causing this pod named 'webserver' to crash?"
• "Show me the logs for the previous instance of the 'database' pod."
• "Check the status of the deployment named 'frontend'."

Tips & gotchas

• Context Safety: Always explicitly specify the Kubernetes context using --context=<context-name> in every command to avoid unintended operations on different clusters. This is critical for preventing accidental changes.
• Manifests are Key: The agent prioritizes declarative YAML manifests; ensure your resources are defined this way.
• Validation is Important: Use the --dry-run=client flag before applying any changes to validate them and prevent errors.