aws-samples / amazon-sagemaker-safe-deployment-pipeline

Safe blue/green deployment of Amazon SageMaker endpoints using AWS CodePipeline, CodeBuild and CodeDeploy.
https://aws.amazon.com/blogs/machine-learning/safely-deploying-and-monitoring-amazon-sagemaker-endpoints-with-aws-codepipeline-and-aws-codedeploy/
MIT No Attribution
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Add SageMaker Studio support #32

Closed ehsanmok closed 3 years ago

ehsanmok commented 3 years ago

Description of changes:

The changes enables Amazon SageMaker Studio to use the sample as a customized SageMaker Project which includes

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brightsparc commented 3 years ago

This is awesome @ehsanmok. There is one minor update in the readme to reference the correct path for build.sh.

I've uploaded the latest pipeline.yml, studio.yml and project.zip to s3://mlops-amazon-sagemaker-safe-deployment-pipeline

ehsanmok commented 3 years ago

Thanks! done. Please make sure you update the artifacts after this PR is merged. A better way is to setup a GitHub action for s3 upload and managing credentials.

ehsanmok commented 3 years ago

PR to remove prefix and public read acl #33