AWS CodeDeploy: An Architecture Deep-Dive
Deployment automation is the single most impactful investment a team can make in operational reliability. Manual deployments (SSH into a box, pull the latest code, restart the service, pray) are slow, and they are the root cause of a disproportionate number of production incidents. Every manual step is an opportunity for human error: the wrong branch, a missed configuration file, a forgotten service restart, a deployment to the wrong environment. Having spent years building and operating deployment pipelines across hundreds of EC2 instances, Lambda functions, and ECS services, I have watched CodeDeploy evolve from a simple EC2 deployment tool into the foundational deployment engine that underpins most serious AWS CI/CD architectures. It lacks glamour and thorough documentation of its deeper behaviors, yet it is the service that actually puts your code onto your compute.