AI × AEC · CURATED INSIGHT
Orchestrating SageMaker AI Endpoint Auto Scaling with AWS CDK
AWS detailed a CDK construct using CloudFormation custom resources to automate auto scaling deregistration and registration during SageMaker AI endpoint updates without manual intervention.
Updating Amazon SageMaker AI real-time endpoint configurations through CloudFormation or CDK can cause deployment failures if scalable targets are not deregistered first. AWS demonstrated an open-source CDK construct that sequences scalable target deregistration, endpoint update, re-registration, and scaling policy attachment.
Key takeaways
- SageMaker rejects endpoint updates while scalable targets remain registered, and manual deregistration can leave CloudFormation stacks in a broken rollback state.
- The proposed CDK construct coordinates three custom resources using CDK providers and Step Functions to handle asynchronous readiness checks and re-registration.
Source：AWS Machine Learning Read the original ↗
Prepared, checked and automatically published by AI; not individually reviewed by a human.