With Application Auto Scaling, you can configure automatic scaling for the following\nresources:
\nAmazon AppStream 2.0 fleets
\nAmazon Aurora Replicas
\nAmazon Comprehend document classification and entity recognizer endpoints
\nAmazon DynamoDB tables and global secondary indexes throughput capacity
\nAmazon ECS services
\nAmazon ElastiCache replication groups (Redis OSS and Valkey) and Memcached clusters
\nAmazon EMR clusters
\nAmazon Keyspaces (for Apache Cassandra) tables
\nLambda function provisioned concurrency
\nAmazon Managed Streaming for Apache Kafka broker storage
\nAmazon Neptune clusters
\nAmazon SageMaker endpoint variants
\nAmazon SageMaker inference components
\nAmazon SageMaker serverless endpoint provisioned concurrency
\nSpot Fleets (Amazon EC2)
\nPool of WorkSpaces
\nCustom resources provided by your own applications or services
\nTo learn more about Application Auto Scaling, see the Application Auto Scaling User\nGuide.
\n\nAPI Summary\n
\nThe Application Auto Scaling service API includes three key sets of actions:
\nRegister and manage scalable targets - Register Amazon Web Services or custom resources as scalable\ntargets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and\nretrieve information on existing scalable targets.
\nConfigure and manage automatic scaling - Define scaling policies to dynamically scale\nyour resources in response to CloudWatch alarms, schedule one-time or recurring scaling actions,\nand retrieve your recent scaling activity history.
\nSuspend and resume scaling - Temporarily suspend and later resume automatic scaling by\ncalling the RegisterScalableTarget API action for any Application Auto Scaling scalable target. You can\nsuspend and resume (individually or in combination) scale-out activities that are\ntriggered by a scaling policy, scale-in activities that are triggered by a scaling policy,\nand scheduled scaling.
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