alt Hacker News> I would argue that a good CI/CD system should not support secrets as a first-class object at all. Instead steps may have privileges assigned. At most there should be an adapter, secure enclave style, that may hold a secret and give CI/CD steps the ability to do something with that secret, to be used for APIs that don’t support OIDC or some other mechanism to avoid secrets entirely.
CI/CD does not exist in the vacuum. If you had CI/CD entirely integrated with the rest of the infrastructure it might be possible to do say an app deploy without passing creds to user code (say have the platform APIs that it can call to do the deployment instead of typical "install the client, get the creds, run k8s/ssh/whatever else needed for deploy").
But that's a high level of integration that's very environment specific, and without all that many positives (so what you don't need creds, you still have permission to do a lot of mess if it gets hijacked), and a lot, lot more code to write vs "run a container and pass it some env vars" that had become a standard
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CI shouldn't do deployments, deployment pipelines should run separately when a new release passes CI
Of course the general purpose task runner that both run on does need to support secrets
You seem to be talking mostly about the CD part. Some thoughts:
On the one hand, CD workflows are less exposed than CI workflows. You only deploy code that has made it through your review and CI processes. In a non-continuous deployment model, you only deploy code when you decide to. You are not running your CD workflow on a third-party pull request.
On the other hand, the actual CD permission is a big deal. If you leak a credential that can deploy to your k8s cluster, you are very, very pwned. Possibly in a manner that is extremely complex to recover from.
I also admit that I find it rather surprising that so many workflows have a push model of deployment like this. My intuition for how to design a CD-style system would be:
1. A release is tagged in source control.
2. Something consumes that release tag and produces a production artifact. This might be some sort of runner that checks out the tagged release, builds it, and produces a ghcr image. Bonus points if that process is cleanly reproducible and more bonus points if there's also an attestation that the release artifact matches the specified tag and all the build environment inputs. (I think that GitHub Actions can do this, other than the bonus points, without any secrets.)
3. Something tells production to update to the new artifact. Ideally this would trigger some kind of staged deployment. Maybe it's continuous, maybe it needs manual triggering. I think that, in many production systems, this could be a message from the earlier stages that tells an agent with production privileges to download and update. It really shouldn't be that hard to make a little agent in k8s or whatever that listens to an API call from a system like GitHub Actions, authenticates it using OIDC, and follows its deployment instructions.
P.S. An attested-reproducible CD build system might be an interesting startup idea.