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More Info:

This rule checks if the first deployment stage of AWS CodePipeline performs more than one deployment. Optionally checks if each of the subsequent remaining stages deploy to more than the specified number of deployments (deploymentLimit).

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Risk Level

Medium

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Address

Configuration

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Compliance Standards

CBP

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Remediation

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Using Console

To remediate the CodePipeline Deployment Limit Check misconfiguration for AWS CodeBuild using the AWS console, follow these step-by-step instructions:

  1. Sign in to the AWS Management Console:

  2. Navigate to the CodePipeline service:

    • In the AWS Management Console, search for “CodePipeline” in the services search bar and click on the CodePipeline service.

  3. Locate the CodePipeline that needs to be remediated:

    • In the CodePipeline dashboard, locate the CodePipeline for which the deployment limit needs to be reviewed and updated.

  4. Click on the Edit button for the CodePipeline:

    • Select the CodePipeline that needs to be remediated and click on the “Edit” button to make changes to the pipeline.

  5. Review the deployment stage configuration:

    • In the CodePipeline editor, navigate to the stage where the deployment action is configured.

  6. Check the deployment configuration:

    • Review the deployment action configuration within the stage to ensure that the deployment settings are correctly configured.

  7. Update the deployment settings:

    • If the deployment limit needs to be reviewed and updated, click on the deployment action within the stage and navigate to the settings or configuration section.

  8. Adjust the deployment settings:

    • Update the deployment settings as needed, including any limits on the number of deployments, deployment frequency, or other relevant parameters.

  9. Save the changes:

    • Once you have updated the deployment settings, click on the “Save” or “Update” button to apply the changes to the CodePipeline configuration.

  10. Test the updated configuration:

    • After saving the changes, trigger a test run of the CodePipeline to ensure that the updated deployment settings are working as expected.

  11. Monitor the deployment process:

    • Monitor the deployment process in the CodePipeline dashboard to verify that the updated deployment settings are being applied correctly.

By following these steps, you can remediate the CodePipeline Deployment Limit Check misconfiguration for AWS CodeBuild using the AWS console.

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Using CLI

To remediate the CodePipeline Deployment Limit Check misconfiguration for AWS CodeBuild using AWS CLI, follow these steps:

Step 1: List all the existing AWS CodeBuild projects to identify the projects that are contributing to the deployment limit.

aws codebuild list-projects

Step 2: Get the details of a specific CodeBuild project to check if it is used in any CodePipeline deployments.

aws codebuild batch-get-projects --names <project-name>

Step 3: Review the CodePipeline configurations to identify the deployments associated with the CodeBuild projects.

aws codepipeline list-pipelines

Step 4: Get the details of a specific CodePipeline to check if it is using the CodeBuild project.

aws codepipeline get-pipeline --name <pipeline-name>

Step 5: If the CodeBuild project is contributing to the deployment limit, consider splitting the project into multiple smaller projects or optimizing the build process to reduce the number of deployments.

Step 6: Update the CodePipeline configurations to use the optimized CodeBuild projects.

Step 7: Monitor the deployments and the CodeBuild projects regularly to ensure they are within the deployment limit.

By following these steps, you can remediate the CodePipeline Deployment Limit Check misconfiguration for AWS CodeBuild using AWS CLI.

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Using Python

To remediate the CodePipeline Deployment Limit Check misconfiguration for AWS CodeBuild using Python, you can follow these steps:

  1. Identify the Issue: The CodePipeline Deployment Limit Check misconfiguration typically occurs when the deployment actions in the CodePipeline exceed the deployment limits set by AWS.

  2. Update CodePipeline Configuration:

    • Open the AWS Management Console and navigate to the CodePipeline service.
    • Select the CodePipeline that is experiencing the deployment limit issue.
    • Review the deployment actions in the pipeline and identify the actions that are causing the limit to be exceeded.
    • Modify the pipeline configuration to optimize the deployment actions and ensure they comply with the deployment limits.

  3. Implement CodeBuild Python Script:

    • Create a Python script that utilizes the AWS SDK (boto3) to programmatically interact with the CodePipeline service.
    • Install the boto3 library if you haven’t already: 
      pip install boto3
    • Use the following Python script as a template to get the deployment limit information and take necessary actions to remediate the issue: 
      import boto3

def get_pipeline_deployment_limit(pipeline_name):
    codepipeline = boto3.client('codepipeline')
    response = codepipeline.get_pipeline(name=pipeline_name)
    return response['pipeline']['artifactStore']['type']

def remediate_deployment_limit(pipeline_name):
    # Implement remediation steps here
    pass

if __name__ == '__main__':
    pipeline_name = 'YOUR_PIPELINE_NAME'
    deployment_limit = get_pipeline_deployment_limit(pipeline_name)
    if deployment_limit > YOUR_DESIRED_LIMIT:
        remediate_deployment_limit(pipeline_name)
    • Update the script with your pipeline name and desired deployment limit.
    • Implement the remediate_deployment_limit function to perform the necessary actions to bring the deployment actions within the desired limit.

  4. Execute the Python Script:

    • Run the Python script on your local machine or an AWS Lambda function to remediate the deployment limit issue for the specified CodePipeline.

By following these steps and customizing the Python script as needed, you can remediate the CodePipeline Deployment Limit Check misconfiguration for AWS CodeBuild.