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Kubeconform is a Kubernetes manifest validation tool. Incorporate it into your CI, or use it locally to validate your Kubernetes configuration!

It is inspired by, contains code from and is designed to stay close to Kubeval, but with the following improvements:

<details><summary><h4>Speed comparison with Kubeval</h4></summary><p> Running on a pretty large kubeconfigs setup, on a laptop with 4 cores: 
$ time kubeconform -ignore-missing-schemas -n 8 -summary  preview staging production
Summary: 50714 resources found in 35139 files - Valid: 27334, Invalid: 0, Errors: 0 Skipped: 23380
real	0m6,710s
user	0m38,701s
sys	0m1,161s
$ time kubeval -d preview,staging,production --ignore-missing-schemas --quiet
[... Skipping output]
real	0m35,336s
user	0m0,717s
sys	0m1,069s
</p></details>

Table of contents

A small overview of Kubernetes manifest validation

Kubernetes's API is described using the OpenAPI (formerly swagger) specification, in a file checked into the main Kubernetes repository.

Because of the state of the tooling to perform validation against OpenAPI schemas, projects usually convert the OpenAPI schemas to JSON schemas first. Kubeval relies on instrumenta/OpenApi2JsonSchema to convert Kubernetes' Swagger file and break it down into multiple JSON schemas, stored in github at instrumenta/kubernetes-json-schema and published on kubernetesjsonschema.dev.

Kubeconform relies on a fork of kubernetes-json-schema that is more meticulously kept up-to-date, and contains schemas for all recent versions of Kubernetes.

Limits of Kubeconform validation

Kubeconform, similar to kubeval, only validates manifests using the official Kubernetes OpenAPI specifications. The Kubernetes controllers still perform additional server-side validations that are not part of the OpenAPI specifications. Those server-side validations are not covered by Kubeconform (examples: #65, #122, #142). You can use a 3rd-party tool or the kubectl --dry-run=server command to fill the missing (validation) gap.

Installation

If you are a Homebrew user, you can install by running:

$ brew install kubeconform

If you are a Windows user, you can install with winget by running:

winget install YannHamon.kubeconform

You can also download the latest version from the release page.

Another way of installation is via Golang's package manager:

# With a specific version tag
$ go install github.com/yannh/kubeconform/cmd/kubeconform@v0.4.13

# Latest version
$ go install github.com/yannh/kubeconform/cmd/kubeconform@latest

Usage

$ kubeconform -h
Usage: kubeconform [OPTION]... [FILE OR FOLDER]...
  -cache string
    	cache schemas downloaded via HTTP to this folder
  -debug
    	print debug information
  -exit-on-error
    	immediately stop execution when the first error is encountered
  -h	show help information
  -ignore-filename-pattern value
    	regular expression specifying paths to ignore (can be specified multiple times)
  -ignore-missing-schemas
    	skip files with missing schemas instead of failing
  -insecure-skip-tls-verify
    	disable verification of the server's SSL certificate. This will make your HTTPS connections insecure
  -kubernetes-version string
    	version of Kubernetes to validate against, e.g.: 1.18.0 (default "master")
  -n int
    	number of goroutines to run concurrently (default 4)
  -output string
    	output format - json, junit, pretty, tap, text (default "text")
  -reject string
    	comma-separated list of kinds or GVKs to reject
  -schema-location value
    	override schemas location search path (can be specified multiple times)
  -skip string
    	comma-separated list of kinds or GVKs to ignore
  -strict
    	disallow additional properties not in schema or duplicated keys
  -summary
    	print a summary at the end (ignored for junit output)
  -v	show version information
  -verbose
    	print results for all resources (ignored for tap and junit output)

Usage examples

$ kubeconform fixtures/valid.yaml
$ echo $?
0

$ kubeconform -summary -output json fixtures/invalid.yaml
{
  "resources": [
    {
      "filename": "fixtures/invalid.yaml",
      "kind": "ReplicationController",
      "version": "v1",
      "status": "INVALID",
      "msg": "Additional property templates is not allowed - Invalid type. Expected: [integer,null], given: string"
    }
  ],
  "summary": {
    "valid": 0,
    "invalid": 1,
    "errors": 0,
    "skipped": 0
  }
}
$ echo $?
1

cat fixtures/valid.yaml  | ./bin/kubeconform -summary
Summary: 1 resource found parsing stdin - Valid: 1, Invalid: 0, Errors: 0 Skipped: 0

# This will ignore ReplicationController for all apiVersions
$ kubeconform -summary -skip ReplicationController fixtures/valid.yaml
Summary: 1 resource found in 1 file - Valid: 0, Invalid: 0, Errors: 0, Skipped: 1

# This will ignore ReplicationController only for apiVersion v1
$ kubeconform -summary -skip v1/ReplicationController fixtures/valid.yaml
Summary: 1 resource found in 1 file - Valid: 0, Invalid: 0, Errors: 0, Skipped: 1

$ kubeconform -summary -n 16 fixtures
fixtures/crd_schema.yaml - CustomResourceDefinition trainingjobs.sagemaker.aws.amazon.com failed validation: could not find schema for CustomResourceDefinition
fixtures/invalid.yaml - ReplicationController bob is invalid: Invalid type. Expected: [integer,null], given: string
[...]
Summary: 65 resources found in 34 files - Valid: 55, Invalid: 2, Errors: 8 Skipped: 0

Proxy support

Kubeconform will respect the HTTPS_PROXY variable when downloading schema files.

$ HTTPS_PROXY=proxy.local bin/kubeconform fixtures/valid.yaml

Overriding schemas location

When the -schema-location parameter is not used, or set to default, kubeconform will default to downloading schemas from https://github.com/yannh/kubernetes-json-schema. Kubeconform however supports passing one, or multiple, schemas locations - HTTP(s) URLs, or local filesystem paths, in which case it will lookup for schema definitions in each of them, in order, stopping as soon as a matching file is found.

The following command lines are equivalent:

$ kubeconform fixtures/valid.yaml
$ kubeconform -schema-location default fixtures/valid.yaml
$ kubeconform -schema-location 'https://raw.githubusercontent.com/yannh/kubernetes-json-schema/master/{{.NormalizedKubernetesVersion}}-standalone{{.StrictSuffix}}/{{.ResourceKind}}{{.KindSuffix}}.json' fixtures/valid.yaml

Here are the variables you can use in -schema-location:

CustomResourceDefinition (CRD) Support

Because Custom Resources (CR) are not native Kubernetes objects, they are not included in the default schema.
If your CRs are present in Datree's CRDs-catalog, you can specify this project as an additional registry to lookup:

# Look in the CRDs-catalog for the desired schema/s
$ kubeconform -schema-location default -schema-location 'https://raw.githubusercontent.com/datreeio/CRDs-catalog/main/{{.Group}}/{{.ResourceKind}}_{{.ResourceAPIVersion}}.json' [MANIFEST]

If your CRs are not present in the CRDs-catalog, you will need to manually pull the CRDs manifests from your cluster and convert the OpenAPI.spec to JSON schema format.

<details><summary>Converting an OpenAPI file to a JSON Schema</summary> <p>

Kubeconform uses JSON schemas to validate Kubernetes resources. For Custom Resource, the CustomResourceDefinition first needs to be converted to JSON Schema. A script is provided to convert these CustomResourceDefinitions to JSON schema. Here is an example how to use it:

$ python ./scripts/openapi2jsonschema.py https://raw.githubusercontent.com/aws/amazon-sagemaker-operator-for-k8s/master/config/crd/bases/sagemaker.aws.amazon.com_trainingjobs.yaml
JSON schema written to trainingjob_v1.json

By default, the file name output format is {kind}_{version}. The FILENAME_FORMAT environment variable can be used to change the output file name (Available variables: kind, group, fullgroup, version):

$ export FILENAME_FORMAT='{kind}-{group}-{version}'
$ ./scripts/openapi2jsonschema.py https://raw.githubusercontent.com/aws/amazon-sagemaker-operator-for-k8s/master/config/crd/bases/sagemaker.aws.amazon.com_trainingjobs.yaml
JSON schema written to trainingjob-sagemaker-v1.json

$ export FILENAME_FORMAT='{kind}-{fullgroup}-{version}'
$ ./scripts/openapi2jsonschema.py https://raw.githubusercontent.com/aws/amazon-sagemaker-operator-for-k8s/master/config/crd/bases/sagemaker.aws.amazon.com_trainingjobs.yaml
JSON schema written to trainingjob-sagemaker.aws.amazon.com-v1.json

After converting your CRDs to JSON schema files, you can use kubeconform to validate your CRs against them:

# If the resource Kind is not found in default, also lookup in the schemas/ folder for a matching file
$ kubeconform -schema-location default -schema-location 'schemas/{{ .ResourceKind }}{{ .KindSuffix }}.json' fixtures/custom-resource.yaml

ℹ️ Datree's CRD Extractor is a utility that can be used instead of this manual process.

</p> </details>

OpenShift schema Support

You can validate Openshift manifests using a custom schema location. Set the OpenShift version (v3.10.0-4.1.0) to validate against using -kubernetes-version.

kubeconform -kubernetes-version 3.8.0  -schema-location 'https://raw.githubusercontent.com/garethr/openshift-json-schema/master/{{ .NormalizedKubernetesVersion }}-standalone{{ .StrictSuffix }}/{{ .ResourceKind }}.json'  -summary fixtures/valid.yaml
Summary: 1 resource found in 1 file - Valid: 1, Invalid: 0, Errors: 0 Skipped: 0

Integrating Kubeconform in the CI

Kubeconform publishes Docker Images to Github's new Container Registry (ghcr.io). These images can be used directly in a Github Action, once logged in using a Github Token.

Github Workflow

Example:

name: kubeconform
on: push
jobs:
  kubeconform:
    runs-on: ubuntu-latest
    steps:
      - name: login to Github Packages
        run: echo "${{ github.token }}" | docker login https://ghcr.io -u ${GITHUB_ACTOR} --password-stdin
      - uses: actions/checkout@v2
      - uses: docker://ghcr.io/yannh/kubeconform:latest
        with:
          entrypoint: '/kubeconform'
          args: "-summary -output json kubeconfigs/"

Note on pricing: Kubeconform relies on Github Container Registry which is currently in Beta. During that period, bandwidth is free. After that period, bandwidth costs might be applicable. Since bandwidth from Github Packages within Github Actions is free, I expect Github Container Registry to also be usable for free within Github Actions in the future. If that were not to be the case, I might publish the Docker image to a different platform.

Gitlab-CI

The Kubeconform Docker image can be used in Gitlab-CI. Here is an example of a Gitlab-CI job:

lint-kubeconform:
  stage: validate
  image:
    name: ghcr.io/yannh/kubeconform:latest-alpine
    entrypoint: [""]
  script:
  - /kubeconform -summary -output json kubeconfigs/

See issue 106 for more details.

Helm charts

There is a 3rd party repository that allows to use kubeconform to test Helm charts in the form of a Helm plugin and pre-commit hook.

Using kubeconform as a Go Module

Warning: This is a work-in-progress, the interface is not yet considered stable. Feedback is encouraged.

Kubeconform contains a package that can be used as a library. An example of usage can be found in examples/main.go

Additional documentation on pkg.go.dev

Credits