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Amazon SageMaker AI MLOps troubleshooting

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Amazon SageMaker AI MLOps troubleshooting - Amazon SageMaker AI

Use the following to troubleshoot issues with MLOps in SageMaker AI. This topic provides information about common errors and how to resolve them.

If you try to delete your SageMaker AI project and get one of the following error messages:

The bucket you tried to delete is not empty
The repository with name 'repository-name' in registry 
        with id 'id' cannot be deleted because it still contains images

then you have non-empty Amazon S3 buckets or Amazon ECR repositories which you need to manually delete before you delete the SageMaker AI project. AWS CloudFormation does not automatically delete non-empty Amazon S3 buckets or Amazon ECR repositories for you.

If you try to delete your SageMaker AI project and get one of the following error messages:

The bucket you tried to delete is not empty
The repository with name 'repository-name' in registry 
        with id 'id' cannot be deleted because it still contains images

then you have non-empty Amazon S3 buckets or Amazon ECR repositories which you need to manually delete before you delete the SageMaker AI project. AWS CloudFormation does not automatically delete non-empty Amazon S3 buckets or Amazon ECR repositories for you.

Related resources

Amazon SageMaker AI API Reference
AWS CLI commands for Amazon SageMaker AI
SDKs & Tools 

Related resources

Amazon SageMaker AI API Reference
AWS CLI commands for Amazon SageMaker AI
SDKs & Tools 
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