ApplicationAutoScaling#
Client#
- class ApplicationAutoScaling.Client#
A low-level client representing Application Auto Scaling
With Application Auto Scaling, you can configure automatic scaling for the following resources:
Amazon AppStream 2.0 fleets
Amazon Aurora Replicas
Amazon Comprehend document classification and entity recognizer endpoints
Amazon DynamoDB tables and global secondary indexes throughput capacity
Amazon ECS services
Amazon ElastiCache for Redis clusters (replication groups)
Amazon EMR clusters
Amazon Keyspaces (for Apache Cassandra) tables
Lambda function provisioned concurrency
Amazon Managed Streaming for Apache Kafka broker storage
Amazon Neptune clusters
Amazon SageMaker endpoint variants
Amazon SageMaker inference components
Amazon SageMaker serverless endpoint provisioned concurrency
Spot Fleets (Amazon EC2)
Pool of WorkSpaces
Custom resources provided by your own applications or services
To learn more about Application Auto Scaling, see the Application Auto Scaling User Guide.
API Summary
The Application Auto Scaling service API includes three key sets of actions:
Register and manage scalable targets - Register Amazon Web Services or custom resources as scalable targets (a resource that Application Auto Scaling can scale), set minimum and maximum capacity limits, and retrieve information on existing scalable targets.
Configure and manage automatic scaling - Define scaling policies to dynamically scale your resources in response to CloudWatch alarms, schedule one-time or recurring scaling actions, and retrieve your recent scaling activity history.
Suspend and resume scaling - Temporarily suspend and later resume automatic scaling by calling the RegisterScalableTarget API action for any Application Auto Scaling scalable target. You can suspend and resume (individually or in combination) scale-out activities that are triggered by a scaling policy, scale-in activities that are triggered by a scaling policy, and scheduled scaling.
import boto3 client = boto3.client('application-autoscaling')
These are the available methods:
- can_paginate
- close
- delete_scaling_policy
- delete_scheduled_action
- deregister_scalable_target
- describe_scalable_targets
- describe_scaling_activities
- describe_scaling_policies
- describe_scheduled_actions
- get_paginator
- get_waiter
- list_tags_for_resource
- put_scaling_policy
- put_scheduled_action
- register_scalable_target
- tag_resource
- untag_resource
Client Exceptions#
Client exceptions are available on a client instance via the exceptions property. For more detailed instructions and examples on the exact usage of client exceptions, see the error handling user guide.
The available client exceptions are:
Paginators#
Paginators are available on a client instance via the get_paginator method. For more detailed instructions and examples on the usage of paginators, see the paginators user guide.
The available paginators are: