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AWS shared a CDK construct for SageMaker AI endpoint auto scaling

A custom AWS CDK construct automates deregistering and registering auto scaling during Amazon SageMaker AI real-time endpoint updates.

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Summary

Updating Amazon SageMaker AI real-time endpoints through AWS CloudFormation or AWS CDK fails because SageMaker requires scalable targets to be deregistered first. AWS shared a reusable CDK construct that uses custom resources to handle this workflow automatically. The implementation code is available on GitHub.

What changed

  • SageMaker AI requires scalable targets to be deregistered before real-time endpoint updates.
  • AWS published a CDK construct to automate auto scaling registration during updates.
  • The deployment includes three custom resources, two Step Functions state machines, and twelve Lambda functions.
  • The sample code is available in the sample-sagemaker-endpoint-autoscaling GitHub repository.

Availability

Available now

“The source code is available in the linked GitHub repository .”

Founder takeaway

Teams deploying SageMaker AI endpoints with AWS CDK can use this open source code to prevent CloudFormation deployment failures during configuration updates.

Source

Researched and drafted with AI from the official sources above, then checked automatically before publishing. Spotted a mistake? Tell us.

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