I recently joined a company as a DevOps engineer and am still learning how its infrastructure and CI/CD processes fit together. Our deployments use AWS CodePipeline, but I'm having trouble understanding the pipeline structure, stages, deployment targets, permissions, and how the different AWS services connect. The current DevOps engineer is leaving soon and hasn't been able to walk me through the setup, while the development team isn't very familiar with the pipelines. I'm looking for a practical way to learn the system without exposing company information, credentials, or configuration to anyone outside the organization. I'm also allowed to use AI internally, if that can help with documenting or explaining the setup.
4 Answers
Start with one pipeline and follow a single deployment from beginning to end. Record what triggers it, which source repository is used, what each stage does, which IAM role runs it, where artifacts are stored, which service receives the deployment, and what happens when a stage fails. This gives you a concrete map instead of trying to understand the entire platform at once.
Don’t screen-share or expose your company’s pipeline to outsiders, even if you remove credentials. That could still reveal sensitive infrastructure details and may violate company policy. Instead, ask your manager for an internal walkthrough, access to existing documentation, or time with another senior engineer. Since AI is approved, you could also use it internally to turn sanitized configuration and notes into documentation.
A good first map is: source → build → test → approval, if applicable → deployment. Then identify the actual service behind each stage, such as CodeBuild, CloudFormation, ECS, Lambda, or another deployment target. Check the pipeline definition, artifact locations, IAM roles, environment variables, and deployment configuration, while avoiding copying secrets or sensitive values.
Look closely at the CodeBuild projects connected to the pipeline. Their buildspec files often explain the build commands, tests, artifact creation, environment variables, and deployment steps. The buildspec may be stored in the source repository or configured directly in the CodeBuild project. Creating a small personal AWS account and reproducing a basic source-to-build-to-deploy pipeline is also a safe way to experiment and learn, as long as it contains no company code or credentials.
I’ll build a small practice pipeline separately and use the real environment mainly for observation and documentation.
That makes sense. I’ll trace one deployment first and use it as a template for understanding the other pipelines.