AWS CodePipeline: An Architecture Deep-Dive
I keep running into the same mistake across teams. They treat their build tool and their pipeline orchestrator as one thing. They'll jam deployment logic into CodeBuild buildspec files or Jenkins jobs, and six months later nobody can explain why a release failed or who approved what. The release process turns brittle, opaque, impossible to audit. CodePipeline exists to fix this. It coordinates builds, tests, and deployments into a workflow you can actually observe and reason about, with clearly defined gates, approvals, and rollback boundaries.
Building a Production CI/CD Pipeline for Containerized AWS Lambda Functions
Manually shipping containerized Lambda functions works for experiments. Build the image locally, push it to ECR, update the function, verify it works. Fine for one function updated once a week. The moment you have multiple functions, multiple environments, or more than one engineer deploying? It falls apart. Someone forgets to tag the image. Someone pushes to the wrong ECR repository. Someone updates production instead of staging. I have personally done all three of those in a single bad afternoon. The worst one is deploying a broken image with no way to roll back except pushing the previous image and hoping you remember which tag it was. I have watched this exact progression on enough teams to know the pipeline question is never "if" but "when," and the answer is almost always "after something breaks in production at 2 AM."
