k8s-yaml-validator

Validate Kubernetes YAML manifests by running them through a multi-stage process that performs syntax linting, schema validation, and cluster dry-runs to catch formatting errors and deployment issues before they reach your cluster.

Kubernetes schema validation checks API object structure and schema compliance against best practices. It identifies structural violations and potential admission controller rejections early, preventing costly deployment failures during the apply phase.

Yes, you can validate Custom Resource Definitions by using a validator that includes CRD detection. It automatically identifies custom resources and looks up their documentation to verify configurations against the expected schema.

Kubeconform handles local schema validation, while kubectl supports cluster dry-runs. Together they provide comprehensive validation by combining offline linting with server-side admission controller checks to ensure manifests are fully deployment-ready.

Admission controller rejections occur when manifests violate cluster policies. Validating your YAML beforehand through cluster dry-runs and schema compliance checks detects these issues locally, preventing failed deployments caused by API object structure violations.