paws.management (version 0.1.5)

applicationautoscaling: Application Auto Scaling

Description

With Application Auto Scaling, you can configure automatic scaling for your scalable resources. You can use Application Auto Scaling to accomplish the following tasks:

• Define scaling policies to automatically scale your AWS or custom resources

• Scale your resources in response to CloudWatch alarms

• Schedule one-time or recurring scaling actions

• View the history of your scaling events

Application Auto Scaling can scale the following resources:

• Amazon ECS services. For more information, see Service Auto Scaling in the Amazon Elastic Container Service Developer Guide.

• Amazon EC2 Spot fleets. For more information, see Automatic Scaling for Spot Fleet in the Amazon EC2 User Guide.

• Amazon EMR clusters. For more information, see Using Automatic Scaling in Amazon EMR in the Amazon EMR Management Guide.

• AppStream 2.0 fleets. For more information, see Fleet Auto Scaling for Amazon AppStream 2.0 in the Amazon AppStream 2.0 Developer Guide.

• Provisioned read and write capacity for Amazon DynamoDB tables and global secondary indexes. For more information, see Managing Throughput Capacity Automatically with DynamoDB Auto Scaling in the Amazon DynamoDB Developer Guide.

• Amazon Aurora Replicas. For more information, see Using Amazon Aurora Auto Scaling with Aurora Replicas.

• Amazon SageMaker endpoint variants. For more information, see Automatically Scaling Amazon SageMaker Models.

• Custom resources provided by your own applications or services. More information is available in our GitHub repository.

To learn more about Application Auto Scaling, including information about granting IAM users required permissions for Application Auto Scaling actions, see the Application Auto Scaling User Guide.

Usage

applicationautoscaling(config = list())

Arguments

config

Optional configuration of credentials, endpoint, and/or region.

Service syntax

svc <- applicationautoscaling(
  config = list(
    credentials = list(
      creds = list(
        access_key_id = "string",
        secret_access_key = "string",
        session_token = "string"
      ),
      profile = "string"
    ),
    endpoint = "string",
    region = "string"
  )
)

Operations

delete_scaling_policy	Deletes the specified Application Auto Scaling scaling policy
delete_scheduled_action	Deletes the specified Application Auto Scaling scheduled action
deregister_scalable_target	Deregisters a scalable target
describe_scalable_targets	Gets information about the scalable targets in the specified namespace
describe_scaling_activities	Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks
describe_scaling_policies	Describes the scaling policies for the specified service namespace
describe_scheduled_actions	Describes the scheduled actions for the specified service namespace
put_scaling_policy	Creates or updates a policy for an Application Auto Scaling scalable target
put_scheduled_action	Creates or updates a scheduled action for an Application Auto Scaling scalable target

Examples

# NOT RUN {
# This example deletes a scaling policy for the Amazon ECS service called
# web-app, which is running in the default cluster.
# }
# NOT RUN {
svc <- applicationautoscaling()
svc$delete_scaling_policy(
  PolicyName = "web-app-cpu-lt-25",
  ResourceId = "service/default/web-app",
  ScalableDimension = "ecs:service:DesiredCount",
  ServiceNamespace = "ecs"
)
# }
# NOT RUN {
# }