What should the developer do to meet these requirements in the MOST operationally efficient way?
Create a buildspec file that invokes the AWS Copilot CLI commands to build and deploy the application. Use the AWS Copilot CLI to create an AWS CodePipeline that uses the CodeCommit repository in the source stage and AWS CodeBuild in the build stage.
Use the AWS Serverless Application Model (AWS SAM) CLI to bootstrap and initialize an AWS CodePipeline configuration. Use the CodeCommit repository as the source. Invoke the AWS Copilot CLI to build and deploy the application.
Use the AWS Copilot CLI to define the AWS Copilot pipeline and to deploy the AWS CodePipeline. Select CodeCommit as the source for the AWS CodePipeline.
Define an AWS CloudFormation template for an AWS CodePipeline with CodeCommit as the source. Configure the template as an AWS Copilot CLI add-on. Use the AWS Copilot CLI to deploy the application.
Explanations:
While this option suggests creating a buildspec file and using AWS Copilot to set up a CodePipeline, it requires additional manual steps to manage the build and deployment processes, which may lead to complexity and operational overhead.
This option suggests using the AWS SAM CLI for pipeline configuration. However, it deviates from AWS Copilot’s streamlined approach and requires integrating multiple tools unnecessarily, which adds complexity.
This option is the most efficient as it allows the developer to use AWS Copilot directly to define and deploy an AWS CodePipeline, integrating seamlessly with the CodeCommit repository without additional setup or complexity.
Defining a CloudFormation template for a CodePipeline and using it as an AWS Copilot add-on is more complex than necessary, as it requires additional management of the CloudFormation template, which goes against the operational efficiency intended by using AWS Copilot.