Which solution will meet these requirements?
Use AWS CodeBuild to run unit tests and security scans. Use an Amazon EventBridge rule to send Amazon SNS alerts to the developers when unit tests fail. Write AWS Cloud Development Kit (AWS CDK) constructs for different solution features, and use a manifest file to tum features on and off in the AWS CDK application. Use a manual approval stage in the pipeline to allow the lead developer to approve applications.
Use AWS Lambda to run unit tests and security scans. Use Lambda in a subsequent stage in the pipeline to send Amazon SNS alerts to the developers when unit tests fail. Write AWS Amplify plugins for different solution features and utilize user prompts to tum features on and off. Use Amazon SES in the pipeline to allow the lead developer to approve applications.
Use Jenkins to run unit tests and security scans. Use an Amazon EventBridge rule in the pipeline to send Amazon SES alerts to the developers when unit tests fail Use AWS CloudFormation nested stacks for different solution features and parameters to turn features on and off. Use AWS Lambda in the pipeline to allow the lead developer to approve applications.
Use AWS CodeDeploy to run unit tests and security scans. Use an Amazon CloudWatch alarm in the pipeline to send Amazon SNS alerts to the developers when unit tests fail. Use Docker images for different solution features and the AWS CLI to turn features on and off. Use a manual approval stage in the pipeline to allow the lead developer to approve applications.
Explanations:
This option uses AWS CodeBuild to automate unit testing and security scans, which meets the requirement for automation. The use of Amazon EventBridge to send SNS alerts for test failures ensures developers are notified promptly. Implementing AWS CDK constructs allows for dynamic feature toggling via a manifest file. Additionally, a manual approval stage can be included in the pipeline for the lead developer’s approval before deployment, fulfilling all outlined requirements.
While this option suggests using AWS Lambda for unit tests and security scans, it does not specify how Lambda integrates with the overall CI/CD pipeline. Additionally, utilizing AWS Amplify plugins for feature management and user prompts does not provide a robust or scalable solution compared to using AWS CDK constructs. The use of Amazon SES for approval does not align with the required manual approval mechanism typically handled in the pipeline context.
This option uses Jenkins, which is not part of the AWS-native tools recommended for this scenario. While it mentions sending alerts through Amazon SES, it lacks direct integration with the AWS CodePipeline and does not address the need for a manual approval process within AWS. Using AWS CloudFormation nested stacks for feature toggling can be complex and may not dynamically suit the CI/CD requirements as effectively as AWS CDK.
Although this option includes sending alerts via CloudWatch alarms, it incorrectly uses AWS CodeDeploy for running unit tests and security scans, which is not its intended use. Furthermore, utilizing Docker images and the AWS CLI for feature toggling is less efficient than using AWS CDK constructs for this purpose. Lastly, it does include a manual approval stage, but the overall mechanism does not align well with the required CI/CD processes.
I systematize that the answer is:
Use AWS CodeBuild to run unit tests and security scans. Use an Amazon EventBridge rule to send Amazon SNS alerts to the developers when unit tests fail. Write AWS Cloud Development Kit (AWS CDK) constructs for different solution features, and use a manifest file to tum features on and off in the AWS CDK application. Use a manual approval stage in the pipeline to allow the lead developer to approve applications.