gosec VS gatekeeper

6. Gosec

You can (and definitely should!) also use gosec.

The crypto source in Go is great, no complaints there. Lints like gosec even recommend using it when generating crypto entropy. Go did a good job here, and I expect Rust will do the same sometime after getrandom reaches 1.0 so the API questions are settled, plus whatever makes sense for the future-proofing the standard library needs.

i think there's https://github.com/securego/gosec linter

Various static analysis tools are available for the Go language, and existing static analysis tools can check general best practices. For example, gosec is a tool to check secure Go coding, and I use it myself. However, coding rules in software development are not only based on best practices, but can also be software- or team-specific. For example

What's the difference between this a https://github.com/securego/gosec?

A github actions workflow is provided to run go fmt, vet, test and gosec. An initial configuration for dependabot is also provided.

Besides what was mentioned, we use : staticcheck.io and https://github.com/securego/gosec

For application code, there are different SAST (Static Application Security Testing) tools like sonarqube, which provide vulnerability scanners for different languages, gosec for analyzing go code and detecting issues based on rules, linters, etc.

When the Gatekeeper validatingwebhook came up, I was really worried that'd be the issue! Regardless I'd recommend anyone who cares about their cluster not collapsing to change the gatekeeper webhook to only intercept resources you care about: https://github.com/open-policy-agent/gatekeeper/pull/1806

Kyverno adds an extra layer of security where only the allowed type of manifest is deployed onto kubernetes, otherwise, it will reject or we can set validationFailureAction to audit which only logs the policy violation message for reporting. Kubewarden and Gatekeeper are alternative tools available to enforce policies on Kubernetes CRD.

Now, we have the hardest part resolved and let's turn our attention to the OPA Gatekeeper. Gatekeeper uses the OPA Constraint Framework to describe and enforce policy. Right now there are mainly 3 parts we should pay attention:

They enable you to establish the policies and regulations that govern cluster deployments and applications. Using predefined policies, policy engines can dynamically modify or create configurations. Policy engines such as Gatekeeper and Kyverno can be leveraged to meet legal and compliance requirements while maintaining operational flexibility and development speed.

Setup policy around what resource requirements can be requested by an app per environment. OPA and gatekeeper or kyverno can help. Setup access control for who can create or modify apps.

OPA Gatekeeper is an open source, general purpose policy engine. OPA decouples policy decisions from other responsibilities of an application, like those commonly referred to as business logic. OPA works equally well making decisions for Kubernetes, Microservices, functional application authorization and more, thanks to its single unified policy language.