Question 1

kube-score vs kube-linter which should I use?

Accepted Answer

kube-score focuses on a broader set of best practices for security and reliability, like resource limits and probes, while kube-linter is more targeted at YAML syntax and basic linting. Choose kube-score for comprehensive recommendations, but kube-linter might be sufficient for simple validation needs.

Question 2

how to ignore a specific check in kube-score?

Accepted Answer

You can ignore checks globally with the --ignore-test flag or per-object using the kube-score/ignore annotation. For example, add 'kube-score/ignore: service-type' to a Service manifest to skip warnings about NodePort usage, as shown in the README.

Question 3

does kube-score work with Helm charts?

Accepted Answer

Yes, kube-score can analyze Helm charts by piping the output of helm template into it. The README provides an example: 'helm template my-app | kube-score score -', which renders the chart and checks the resulting YAML.

Question 4

what Kubernetes version does kube-score support?

Accepted Answer

kube-score allows setting the Kubernetes version with --kubernetes-version to tailor checks; the default is v1.18, but you should set it to your production version for accurate recommendations, as newer APIs or features might be overlooked otherwise.

Question 5

can kube-score check live clusters for issues?

Accepted Answer

Indirectly, by using kubectl commands to export resources as YAML and piping to kube-score, as shown in the README example. However, this is still static analysis and won't catch dynamic runtime problems like pod scheduling failures.

Question 6

how to integrate kube-score into a Jenkins pipeline?

Accepted Answer

Install kube-score via a binary or Docker image in your Jenkins agent, then run it in the pipeline stage with output format set to 'ci' for parsing. Use the exit code to fail the build on critical issues, similar to the CI examples in the README.

Kube-Score

What is Kube-Score?

Overview

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Frequently Asked Questions