K8s Manifest Validator

K8s Manifest Validator

Prerequisites & Dependencies

• Python 3.10+ (for YAML/JSON parsing)
• kubectl for Kubernetes cluster interaction (optional, for validation)
• jq for JSON parsing (optional)

Execution Steps

1. Parse the Kubernetes manifest: Read the YAML or JSON file containing the Kubernetes resource definition.

2. Validate required fields: Check for essential fields like apiVersion, kind, metadata.name, and appropriate spec structure based on the resource type.

3. Check resource constraints: Validate CPU/memory requests and limits, replica counts, and service account settings.

4. Generate validation report: Output a structured report listing:

   • Valid fields and structures
   • Missing or invalid fields
   • Warnings for deprecated or recommended settings
   • Suggested fixes for common issues

5. Optional kubectl dry-run: If kubectl is available, run kubectl apply --dry-run=client to validate the manifest against the cluster's schema.

6. Example output: A validation report indicating the manifest is valid, or listing issues like missing selector, incorrect apiVersion, or improper metadata formatting.

kubectl apply --dry-run=client -f manifest.yaml