AWS Blu Age Devops Pipeline : Failed

When facing a failed execution in an AWS Blu Age DevOps pipeline with CodePipeline and Jenkins, there are several steps you can take to troubleshoot and resolve the issue:

1. Check disk space: One common cause of pipeline failures is insufficient disk space on the Jenkins EC2 instance. If this is the case, you may need to increase the size of the root volume or implement regular cleanup procedures.

2. Review execution logs: Examine the logs of the failed execution to identify specific error messages or points of failure. This can provide valuable insights into what went wrong.

3. Manual intervention: If the pipeline is stuck, you may need to manually intervene. In the CodePipeline console, look for options like "Try again" or "Repeat failed action". If these don't work, you might need to use the AWS CLI to stop the stuck execution and start a new one.

4. Clean up and rebuild: Sometimes, cleaning the project and rebuilding it can resolve issues, especially if there are unresolved dependencies or configuration problems.

5. Version alignment: Ensure that the versions of all components, including AWS Blu Age, gapwalk, and any other dependencies, are correctly aligned and compatible.

6. Check EventBridge rules: Verify that the appropriate EventBridge rules are in place to trigger your pipeline automatically when source changes occur. If these rules are missing, you'll need to create them.

7. Dependency management: Make sure all necessary dependencies, including Blu Age runtime libraries, are properly referenced and accessible in your project.

If these steps don't resolve the issue, you may need to consult the specific documentation for your AWS Blu Age setup or reach out to AWS support for more tailored assistance. Remember to test any changes in a non-production environment first to avoid further complications.
Sources
Disk space issue for build executor in AWS Blu Age Devops Pipeline | AWS re:Post
CID/CD Pipeline to production after last failed | AWS re:Post
Blu age L3 Execution/backend/import project | AWS re:Post
CodePipeline - some pipelines run automatically, some do not | AWS re:Post

Yes it was due to the character & Thanks