AWS CDK construct automates SageMaker endpoint auto scaling updates
Orchestrating SageMaker AI endpoint auto scaling with AWS CDK
The failure is a well-known trap: Application Auto Scaling holds a reference outside the stack, so a routine endpoint update breaks drift-safe deployments. Wrapping deregister and register logic in a CDK construct removes the manual step and keeps the whole endpoint lifecycle in code. MLOps engineers managing SageMaker inference at scale can drop the construct into existing stacks.
Updating a SageMaker AI endpoint that has Application Auto Scaling registered causes AWS CloudFormation and AWS CDK deployments to fail. The post walks through building a reusable AWS CDK construct using CloudFormation custom resources. The construct automatically deregisters scaling before the endpoint update and re-registers it afterwards, so endpoint and scaling updates happen in one deployment.
Orchestrating SageMaker AI endpoint auto scaling with AWS CDK
Updating a SageMaker AI endpoint that has Application Auto Scaling registered makes AWS CloudFormation and AWS CDK deployments fail. This post shows how to build a reusable AWS CDK construct with CloudFormation custom resources that deregisters and re-registers auto scaling automatically, so you can update the endpoint and its scaling in a single deployment.