A development team is using AWS CodeBuild for their continuous integration pipeline. Recently, they've noticed that builds are failing with 'OutOfMemoryError' during the 'install' phase, even though the source code repository hasn't changed. The build project is configured to use 'build.general1.small' compute type. Which action should the developer take to resolve this issue MOST efficiently?
- AImplement a custom Docker image for CodeBuild with increased swap space to handle memory spikes.
- BSwitch the CodeBuild project's compute type to a larger instance, such as 'build.general1.medium' or 'build.general1.large'.
- COptimize the application's dependencies to reduce the memory footprint during the 'install' phase.
- DIncrease the 'Timeout' setting for the CodeBuild project to allow more time for memory-intensive operations.
Show answer & explanationAnswer & explanation
Correct answer: B. Switch the CodeBuild project's compute type to a larger instance, such as 'build.general1.medium' or 'build.general1.large'.
An 'OutOfMemoryError' during the 'install' phase, especially without code changes, indicates that the allocated memory for the build environment is insufficient. The most direct and efficient solution is to increase the compute type, which provides more memory and CPU resources to the CodeBuild container.
Why the other options are wrong
- A. CodeBuild compute types already come with predefined memory and CPU. Custom Docker images are for specific software, not typically for directly increasing underlying memory/swap capacity beyond the chosen compute type's limits.
- C. While optimizing dependencies is a good long-term practice, it's not the most efficient immediate solution to an 'OutOfMemoryError' given no recent code changes and the need for a quick fix.
- D. Increasing timeout would not resolve an OutOfMemoryError; the build would still fail due to lack of memory, just after a longer duration.
CodeBuild Compute Types
CodeBuild offers various compute types (e.g., general1.small, general1.medium, general1.large) that define the CPU and memory resources allocated to a build environment. Selecting an appropriate compute type is crucial for build performance and stability.
- Determines CPU and memory for build environment.
- Larger types offer more resources.
- Important for memory-intensive builds or large dependency installations.
Memory trick: CodeBuild's power comes from its 'Compute Type', choose wisely for better builds.