kubernetes-json-schema VS kubeval

Hey, so I thought I remembered your username. This isn’t the first interaction we’ve had, or I’ve seen you have, that follows this similar pattern. In fact it’s the third example from you under this post!

It’s not a particularly pleasant experience to discuss anything with you, as after you make a particularly vapid and usually ice-cold take that is rebuffed, you seem to just try to make snarky replies rather than engage.

Understand that if you post your takes here they may be discussed and challenged, and if you don’t want this then I would refrain from initially commenting.

In response to your comment: They do. All Kubernetes resources are typed with JSON-schema definitions. Because of course they are, how else would kubernetes validate anything. https://kubernetesjsonschema.dev/

Anyone who’s used k8s at all knows this, if only from the error messages. From this you get autocompletion and a wide ecosystem of gui configuration tools. I like lens (https://k8slens.dev/).

To avoid spending unreasonable amount of time trying to find that one wrong indent, I recommend you use schema validation and let your IDE do all the work. You can use validation schemas from https://schemastore.org/json or custom schemas such as these for Kubernetes to validate your files. These will work both with JetBrains products (e.g. Pycharm, IntelliJ) as well as VSCode (see this guide)

Seems like they haven't generated v1.20+ schema. It might work if you generate the schema yourself and feed it to KUBEVAL_SCHEMA_LOCATION

Kubeval - instrumenta/kubernetes-json-schema (last commit: 133f848 on April 29, 2020)

I don't use it myself, but it seems what are you looking for. https://github.com/instrumenta/kubeval

1. Validate Using ValidKube, you can Validate your YAML files. It can help you fix the indentation also add, remove and rearrange things according to the actual YAML and Kubernetes schema. It is available as a open source repository as Kubeval . https://github.com/instrumenta/kubeval

The idea behind Validkube is to fuse together the capabilities of three other popular open-source projects (kubeval, kubectl-neat & trivy) and present them in a single view, providing users with a way to ensure YAML code hygiene and security, in one place, with just a few clicks of the button.

Kubeval - Well known, It only validates against the given Kubernetes Version but doesn’t provide a migration path

Kubeval and kubeconform are command-line tools that were developed with the intent to validate Kubernetes manifests without the requirement of having a running Kubernetes environment. Because kubeconform is based on kubeval, they operate similarly — verification is performed against pre-generated JSON schemas that are created from the OpenAPI specifications (swagger.json) for each particular Kubernetes version. All that remains to run the schema validation tests is to point the tool executable to a single manifest, directory or pattern.