What should the DevOps engineer implement to BEST improve the speed of the pipeline?
Modify the CodeBuild projects within the pipeline to use a compute type with more available network throughput.
Create a custom CodeBuild execution environment that includes a symmetric multiprocessing configuration to run the builds in parallel.
Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runOrder.
Modify each CodeBuild project to run within a VPC and use dedicated instances to increase throughput.
Explanations:
Increasing the compute type or network throughput in CodeBuild could potentially improve performance but does not address the issue of sequential execution of Lambda function deployments, which is the root cause of the delay.
A custom CodeBuild environment with symmetric multiprocessing would allow for parallel execution of tasks, but this is not a direct solution for optimizing the pipeline. The core issue is the sequential deployment of Lambda functions, not the configuration of the build environment itself.
Modifying the CodePipeline configuration to run actions in parallel for each Lambda function (by using the same runOrder) will allow multiple Lambda functions to be built and deployed simultaneously, significantly improving the pipeline speed.
Running CodeBuild projects within a VPC with dedicated instances could improve throughput in certain scenarios, but it is not the best solution for reducing the pipeline duration. It does not address the issue of sequential execution of Lambda functions in the pipeline.
It seems to me that the answer is:
Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runOrder.
I arrange that the answer is:
Modify the CodePipeline configuration to run actions for each Lambda function in parallel by specifying the same runOrder.