v1.0.5

[1.0.5] - 11/29/2023

Features

• (applicationautoscaling) Amazon SageMaker customers can now use Application Auto Scaling to automatically scale the number of Inference Component copies across an endpoint to meet the varying demand of their workloads.
• (cleanrooms) AWS Clean Rooms now provides differential privacy to protect against user-identification attempts and machine learning modeling to allow two parties to identify similar users in their data.
• (cleanroomsml) Public Preview SDK release of AWS Clean Rooms ML APIs
• (opensearch) Launching Amazon OpenSearch Service support for new zero-ETL integration with Amazon S3. Customers can now manage their direct query data sources to Amazon S3 programatically
• (opensearchserverless) Amazon OpenSearch Serverless collections support an additional attribute called standby-replicas. This allows to specify whether a collection should have redundancy enabled.
• (sagemaker) This release adds following support 1/ Improved SDK tooling for model deployment. 2/ New Inference Component based features to lower inference costs and latency 3/ SageMaker HyperPod management. 4/ Additional parameters for FM Fine Tuning in Autopilot
• (sagemakerruntime) This release adds InferenceComponentName to InvokeEndpoint and InvokeEndpointWithResponseStream APIs to get inferences from the deployed InferenceComponents.

Documentation

• (sts) Documentation updates for AWS Security Token Service.