Codepipeline deployment count remediation

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Remediation

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Using Console

1. Sign in to the AWS Management Console:
   • Go to https://aws.amazon.com/ and sign in to your AWS account.
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.

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Using CLI

aws codebuild list-projects

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

aws codepipeline list-pipelines

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

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Using Python

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:
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     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:
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     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.