Kubernetes YAML Validator

Validate Kubernetes YAML files for syntax and schema correctness to prevent failed deployments and misconfigurations for developers and operators.

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About This Tool

The Kubernetes YAML Validator analyzes YAML manifests used for Kubernetes resources and provides deterministic feedback on correctness and readiness for deployment. It targets developers, DevOps engineers, and SREs who author or audit manifests for Deployments, Services, ConfigMaps, Ingresses, CRDs, and custom resources, helping them catch issues early in development and CI workflows. The validator supports configurable strictness, enabling warnings for unknown fields or deprecated API versions, and can be used in pre-commit hooks or CI steps to enforce policy.
Conceptual workflow: a YAML parser ingests the input and builds a structured representation, then a domain validator enforces Kubernetes-specific rules (apiVersion, kind, metadata, spec) and checks required fields, data types, and value formats. It supports multi-document files separated by '---', reports the exact document index and line/column of each issue, and can optionally fetch remote OpenAPI schemas to validate fields against current API definitions. If network access is unavailable, it gracefully falls back to syntax and structural checks.
Core value and features: precise error reporting with line/column, error codes, and actionable suggestions; optional deep validation against a subset of Kubernetes OpenAPI schemas; outputs include a machine-readable JSON report and a human-friendly summary suitable for review. It offers a dry-run mode, strict mode, and integration hooks for CI, making results deterministic for automation.
Use cases: pre-commit validation, CI checks, audit of manifests across environments, and policy enforcement to avoid deprecated APIs. Beneficiaries include developers, platform engineers, and SREs seeking faster feedback loops and reduced deployment failures. Examples include validating a Deployment manifest in a PR, validating all resources in a rendered Helm chart, or auditing manifests against a cluster version to detect deprecated API usage.

How to Use

  1. Provide YAML manifests as input text.
  2. Optionally enable deep API-schema validation or use default syntax checks.
  3. Run validation to generate a report.
  4. Review errors with line/column details and actionable fixes.
  5. Apply fixes in source YAML.
  6. Re-run validation until all checks pass.
How to use kubernetes yaml validator

Frequently Asked Questions

Find Quick Answers

What inputs does it accept?
It accepts YAML text input, including single-document or multi-document manifests separated by ---; the tool returns a structured report with error details, line positions, and recommended fixes to guide remediation.
Does it validate API versions and deprecated APIs?
Yes. It checks apiVersion and kind alignment and can warn on deprecated or removed API versions when configured. It can enforce a target Kubernetes compatibility profile to reduce drift.
Can it fetch OpenAPI schemas for deeper validation?
It can optionally fetch Kubernetes OpenAPI schemas to validate fields against current API definitions. If network access is unavailable, it falls back to syntactic and structural checks with warnings only.
How should I interpret the results?
The report includes document index, line/column, error codes, severity, and suggested fixes. Use the guidance to patch the YAML files and re-run validation until the result is green.

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