Enforcing policy-as-code for Helm best practices using Open Policy Agent (OPA) and Conftest allows organizations to automate compliance checks and improve the reliability of their Helm charts. By defining policies as code, teams can ensure that their deployments adhere to best practices, resulting in more secure and efficient software delivery.
To get started, you can set up OPA to evaluate Helm charts against your defined policies, while Conftest will help you test the Helm templates in your CI/CD pipeline.
Here's an example of how to enforce a policy that checks if the `image` field is specified in your Helm Chart's `values.yaml`:
package helm
deny[{"msg": msg}] {
input.kind == "HelmRelease"
not input.spec.values.image
msg = "Image must be specified in the Helm chart"
}
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?