AWS CodeBuild: An Architecture Deep-Dive
Nobody wants to own build infrastructure. Everybody depends on it. I have spent years managing Jenkins clusters, debugging flaky build agents, patching security holes on build servers, and scaling CI/CD capacity for growing engineering teams. The operational overhead? Wildly disproportionate to the business value. AWS CodeBuild kills that burden. It is a fully managed, container-based build service. Fresh, isolated compute for every build. Automatic scaling to any workload. You pay only for the minutes you actually use. The architectural decisions baked into CodeBuild (ephemeral containers, pay-per-minute pricing, deep AWS service integration) reflect hard-won lessons about what matters in build infrastructure. And what does not.
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."