AWS CodePipeline and CodeBuild#

AWS CodePipeline orchestrates CI/CD workflows as a series of stages. CodeBuild executes the actual build and test commands. Together they provide a fully managed pipeline that integrates natively with S3, ECR, ECS, EKS, Lambda, and CloudFormation. No servers to manage, no agents to maintain – but the trade-off is less flexibility than self-hosted systems and tighter coupling to the AWS ecosystem.

Pipeline Structure#

A CodePipeline has stages, and each stage has actions. Actions can run in parallel or sequentially within a stage. The most common pattern is Source -> Build -> Deploy:

AWS Lambda and Serverless Function Patterns#

Lambda runs your code without you provisioning or managing servers. You upload a function, configure a trigger, and AWS handles scaling, patching, and availability. The execution model is simple: an event arrives, Lambda invokes your handler, your handler returns a response. Everything in between – concurrency, retries, scaling from zero to thousands of instances – is managed for you.

That simplicity hides real complexity. Cold starts, timeout limits, memory-to-CPU coupling, VPC attachment latency, and event source mapping behavior all require deliberate design. This article covers the patterns that matter in practice.