AWS Certified DevOps Engineer – ProfessionalSDLC AutomationMedium
A software company uses AWS CodeBuild for its CI/CD pipelines. Developers frequently commit small changes, leading to many builds. They've noticed that builds are taking longer than desired due to repeated downloads of dependencies and recompilation of unchanged code. How can the team optimize CodeBuild performance and reduce build times?
- AIncrease the compute capacity of the CodeBuild project.
- BUse a larger Docker image for the build environment.
- CSplit the build into multiple smaller CodeBuild projects.
- DConfigure build caching for dependencies and build artifacts.
Show answer & explanationAnswer & explanation
Correct answer: D. Configure build caching for dependencies and build artifacts.
CodeBuild supports caching, either to an S3 bucket or locally within the build environment, to store dependencies and intermediate build artifacts. This prevents repeated downloads and recompilations, significantly reducing build times for subsequent builds.
Why the other options are wrong
- A. Increasing compute capacity might help, but it doesn't address the root cause of repeated downloads/recompilations and is more expensive.
- B. A larger Docker image could potentially slow down environment provisioning and doesn't solve the caching problem.
- C. Splitting builds might help with parallelization but adds complexity and doesn't solve the individual build time issue caused by redundant work.
CodeBuild Caching
A feature in AWS CodeBuild that allows you to store and reuse dependencies and intermediate build artifacts from previous builds, significantly reducing subsequent build times.
- Supports S3 caching for persistent storage across builds.
- Supports local caching for faster retrieval within the same build instance.
- Reduces dependency download times and recompilation.
- Configured in the buildspec.yml file or CodeBuild project settings.
Memory trick: Cache: Remember the old, build the new fast.