AWS shares CDK construct to fix SageMaker AI auto scaling updates

The post introduces a reusable CDK construct that uses three CloudFormation custom resources to automate this process. The construct orchestrates a specific sequence: it deregisters the scalable target, updates the endpoint, waits for the endpoint to reach InService status, and then re-registers the target and applies the scaling policy. This approach uses asynchronous completion patterns to handle waiting periods without timing out, ensuring auto scaling remains intact after configuration changes.

The article provides a walkthrough for deploying the solution, including prerequisites like AWS CDK v2 and Python 3.12. It details how the construct works, noting that while it defines three custom resources, the deployed stack includes additional Lambda functions and Step Functions state machines generated by the CDK provider framework. Users can integrate this construct into existing CDK stacks or deploy the provided example stack to test the workflow.