AWS tackles SageMaker endpoint scaling deployment failures with CDK
What happened
On 24 October 2026, the AWS Machine Learning Blog published a post on orchestrating SageMaker AI endpoint auto scaling with AWS CDK. The post addresses a specific problem: when updating the configuration of a SageMaker AI real-time endpoint, the deployment fails if auto scaling is already registered. AWS's solution is a reusable CDK construct that uses three CloudFormation custom resources to automatically deregister and re-register the scaling target before and after an endpoint update. The post remains at the level of introducing the solution and does not mention the construct's release status, scope or user feedback.
Written by AI from the reports · updated 3 h ago
Timeline
Follow the reports to see the event from each side.
- AWS Machine Learning BlogOrchestrating 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.
Heat of this event
Current heat 9·Peak in the comparable range 9（Oct 24 03:00）·Change over 24 hours in the comparable range –
The trend compares only the same accounts observed without a break, so its range can be narrower than the current heat count. Move the pointer or tap the chart to see each hour; with a keyboard, use the left and right arrow keys.