Orchestrating SageMaker AI endpoint auto scaling with AWS CDK

What happened

AWS shows how to use a reusable AWS CDK construct to update SageMaker AI endpoint configurations and auto scaling parameters in a single deployment without manual intervention. Three CloudFormation custom resources deregister the scalable target before the endpoint update, wait for readiness, then restore the target and scaling policy. The walkthrough provides deployment, verification, and integration instructions, with a ConfigHash property triggering orchestration whenever endpoint or scaling settings change.

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The story so far

AWS published a walkthrough showing how a reusable AWS CDK construct can coordinate SageMaker AI endpoint configuration updates and auto scaling changes in a single deployment without manual intervention. The construct uses three CloudFormation custom resources to deregister the scalable target before updating the endpoint, wait until the endpoint is ready, and then restore the scalable target and scaling policy. A ConfigHash property triggers this sequence whenever endpoint or scaling settings change. The walkthrough includes instructions for deploying, verifying, and integrating the construct.