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by structural
2507 days ago
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Having CI configuration inside the codebase also sounds like a nightmare when changes to the CI or deployment environment require configuration changes or when multiple CI/deployment environments exist. For example as a use case: Software has dozens of tagged releases; organization moves from deploying on AWS to deploying in a Kubernetes cluster (requiring at least one change to the deployment configuration). Now, to deploy any of the old tagged releases, every release now has to be updated with the new configuration. This gets messy because there are two different orthogonal sets of versions involved. First, the code being developed has versions and second, the environments for testing, integration, and deployment also change over time and have versions to be controlled. Even more broadly, consider multiple organizations using the same software package. They will each almost certainly have their own CI infrastructure, so there is no one "CI configuration" that could ever be checked into the repository along with the code without each user having to maintain their own forks/patchsets of the repo with all the pain that entails. |
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I had (and still have) high hopes for circleci's orbs to help with this use case. Unfortunately, orbs are private - which makes it a no-go for us.
But, in my dream world, we have bits of the deployed configuration that can be imported from else where - and this is built right into the CI system.
In practice, for my org, the code and configuration for the CI comes from both the "infra" repo as well as the "application" repo. The configuration itself is stored in the app repo, but then there's a call `python deploy_to_kubernetes.py <args>`. The `deploy_to_xxx.py` script would be in the "infra" repo.
It also depends on your workflow - do you change the common deploy infrastructure more often, or do you change the application specific deploy infra more often.
Yeah, writing code to deploy code is sometimes fun, but sometimes nasty.