AWS API Changes

2024/11/22 - 1 new 3 updated api methods

Changes Application Auto Scaling now supports Predictive Scaling to proactively increase the desired capacity ahead of predicted demand, ensuring improved availability and responsiveness for customers' applications. This feature is currently only made available for Amazon ECS Service scalable targets.

2024/07/25 - 2 updated api methods

Changes Application Auto Scaling is now more responsive to the changes in demand of your SageMaker Inference endpoints. To get started, create or update a Target Tracking policy based on High Resolution CloudWatch metrics.

2024/06/27 - 10 updated api methods

Changes Amazon WorkSpaces customers can now use Application Auto Scaling to automatically scale the number of virtual desktops in a WorkSpaces pool.

2023/11/29 - 10 updated api methods

Changes 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.

2023/05/25 - 2 updated api methods

Changes With this release, ElastiCache customers will be able to use predefined metricType "ElastiCacheDatabaseCapacityUsageCountedForEvictPercentage" for their ElastiCache instances.

2023/05/09 - 10 updated api methods

Changes With this release, Amazon SageMaker Serverless Inference customers can use Application Auto Scaling to auto scale the provisioned concurrency of their serverless endpoints.

2023/03/20 - 3 new 2 updated api methods

Changes With this release customers can now tag their Application Auto Scaling registered targets with key-value pairs and manage IAM permissions for all the tagged resources centrally.

2023/03/14 - 2 updated api methods

Changes Application Auto Scaling customers can now use mathematical functions to customize the metric used with Target Tracking policies within the policy configuration itself, saving the cost and effort of publishing the customizations as a separate metric.

2023/01/04 - 1 updated api methods

Changes Customers can now use the existing DescribeScalingActivities API to also see the detailed and machine-readable reasons for Application Auto Scaling not scaling their resources and, if needed, take the necessary corrective actions.

2021/10/05 - 10 updated api methods

Changes With this release, Application Auto Scaling adds support for Amazon Neptune. Customers can now automatically add or remove Read Replicas of their Neptune clusters to keep the average CPU Utilization at the target value specified by the customers.

2021/08/19 - 10 updated api methods

Changes This release extends Application Auto Scaling support for replication group of Amazon ElastiCache Redis clusters. Auto Scaling monitors and automatically expands node group count and number of replicas per node group when a critical usage threshold is met or according to customer-defined schedule.

2021/02/02 - 2 updated api methods