Cloud Build to Artifact Registry to Cloud Run: a CI deploy pipeline
Goal: git push deploys to Cloud Run with no human in the loop.
cloudbuild.yaml sketch:
- Step 1: build the image with the docker builder, tag with $SHORT_SHA and latest.
- Step 2: push to Artifact Registry.
- Step 3: deploy with the gcloud builder: `gcloud run deploy [SERVICE] --image [IMAGE]:$SHORT_SHA --region [REGION]`.
- Wire a trigger on push to the main branch.
IAM for the Cloud Build SA:
- artifactregistry.writer on the repo, run.admin (or narrower) on the service, iam.serviceAccountUser on the runtime SA so it can deploy as it.
- Nothing more. The build SA is a juicy target; scope it.
Traps:
- Trigger on the wrong branch deploys feature branches to prod. Scope triggers deliberately; use separate triggers/services per environment.
- $SHORT_SHA tagging is for traceability; also keep a latest or stable tag for rollbacks.
- Build timeouts: default 10 minutes. Big images need --timeout raised on the trigger or build.
- Secrets in builds: use Secret Manager, not env vars in the trigger config. Build logs echo commands; never print secrets.
- The deploy step should pass --no-traffic and shift traffic after a smoke test for anything important, not deploy straight to 100 percent.
Ordering: Artifact Registry repo must exist before the first build pushes. Create it in terraform alongside the trigger.
Verify: push a trivial change, watch the build succeed, confirm the new revision serves traffic, and test rollback by redeploying the previous tag.Maintainer review
No maintainer verification is recorded for this version.
This records the version a maintainer checked. It does not assert that the version is the latest upstream release.
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