ApplicationAutoScaling

Service object for interacting with AWS ApplicationAutoScaling service.

public struct ApplicationAutoScaling: AWSService 

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

• Spot Fleets (Amazon EC2)

• Custom resources provided by your own applications or services

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.

     <p>To learn more about Application Auto Scaling, including information about granting IAM users required
  permissions for Application Auto Scaling actions, see the <a href="https://docs.aws.amazon.com/autoscaling/application/userguide/what-is-application-auto-scaling.html">Application Auto Scaling User
    Guide</a>.</p>

Inheritance

AWSService

Initializers

init(client:region:partition:endpoint:timeout:byteBufferAllocator:options:)

Initialize the ApplicationAutoScaling client

public init(
        client: AWSClient,
        region: SotoCore.Region? = nil,
        partition: AWSPartition = .aws,
        endpoint: String? = nil,
        timeout: TimeAmount? = nil,
        byteBufferAllocator: ByteBufferAllocator = ByteBufferAllocator(),
        options: AWSServiceConfig.Options = []
    ) 

Parameters

• client: AWSClient used to process requests
• region: Region of server you want to communicate with. This will override the partition parameter.
• partition: AWS partition where service resides, standard (.aws), china (.awscn), government (.awsusgov).
• endpoint: Custom endpoint URL to use instead of standard AWS servers
• timeout: Timeout value for HTTP requests

init(from:patch:)

Initializer required by AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options). You are not able to use this initializer directly as there are no public initializers for AWSServiceConfig.Patch. Please use AWSService.with(middlewares:​timeout:​byteBufferAllocator:​options) instead.

public init(from: ApplicationAutoScaling, patch: AWSServiceConfig.Patch) 

Properties

client

Client used for communication with AWS

public let client: AWSClient

config

Service configuration

public let config: AWSServiceConfig

Methods

deleteScalingPolicy(_:logger:on:)

public func deleteScalingPolicy(_ input: DeleteScalingPolicyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteScalingPolicyResponse> 

Deletes the specified scaling policy for an Application Auto Scaling scalable target.

Deleting a step scaling policy deletes the underlying alarm action, but does not delete the CloudWatch alarm associated with the scaling policy, even if it no longer has an associated action.

For more information, see Delete a step scaling policy and Delete a target tracking scaling policy in the Application Auto Scaling User Guide.

deleteScheduledAction(_:logger:on:)

public func deleteScheduledAction(_ input: DeleteScheduledActionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeleteScheduledActionResponse> 

Deletes the specified scheduled action for an Application Auto Scaling scalable target.

For more information, see Delete a scheduled action in the Application Auto Scaling User Guide.

deregisterScalableTarget(_:logger:on:)

public func deregisterScalableTarget(_ input: DeregisterScalableTargetRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DeregisterScalableTargetResponse> 

Deregisters an Application Auto Scaling scalable target when you have finished using it. To see which resources have been registered, use DescribeScalableTargets.

describeScalableTargets(_:logger:on:)

public func describeScalableTargets(_ input: DescribeScalableTargetsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeScalableTargetsResponse> 

Gets information about the scalable targets in the specified namespace.

You can filter the results using ResourceIds and ScalableDimension.

describeScalingActivities(_:logger:on:)

public func describeScalingActivities(_ input: DescribeScalingActivitiesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeScalingActivitiesResponse> 

Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.

You can filter the results using ResourceId and ScalableDimension.

describeScalingPolicies(_:logger:on:)

public func describeScalingPolicies(_ input: DescribeScalingPoliciesRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeScalingPoliciesResponse> 

Describes the Application Auto Scaling scaling policies for the specified service namespace.

You can filter the results using ResourceId, ScalableDimension, and PolicyNames.

For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

describeScheduledActions(_:logger:on:)

public func describeScheduledActions(_ input: DescribeScheduledActionsRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<DescribeScheduledActionsResponse> 

Describes the Application Auto Scaling scheduled actions for the specified service namespace.

You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters.

For more information, see Scheduled scaling and Managing scheduled scaling in the Application Auto Scaling User Guide.

putScalingPolicy(_:logger:on:)

public func putScalingPolicy(_ input: PutScalingPolicyRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<PutScalingPolicyResponse> 

Creates or updates a scaling policy for an Application Auto Scaling scalable target.

Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scaling policy applies to the scalable target identified by those three attributes. You cannot create a scaling policy until you have registered the resource as a scalable target.

Multiple scaling policies can be in force at the same time for the same scalable target. You can have one or more target tracking scaling policies, one or more step scaling policies, or both. However, there is a chance that multiple policies could conflict, instructing the scalable target to scale out or in at the same time. Application Auto Scaling gives precedence to the policy that provides the largest capacity for both scale out and scale in. For example, if one policy increases capacity by 3, another policy increases capacity by 200 percent, and the current capacity is 10, Application Auto Scaling uses the policy with the highest calculated capacity (200% of 10 = 20) and scales out to 30.

We recommend caution, however, when using target tracking scaling policies with step scaling policies because conflicts between these policies can cause undesirable behavior. For example, if the step scaling policy initiates a scale-in activity before the target tracking policy is ready to scale in, the scale-in activity will not be blocked. After the scale-in activity completes, the target tracking policy could instruct the scalable target to scale out again.

For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

putScheduledAction(_:logger:on:)

public func putScheduledAction(_ input: PutScheduledActionRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<PutScheduledActionResponse> 

Creates or updates a scheduled action for an Application Auto Scaling scalable target.

Each scalable target is identified by a service namespace, resource ID, and scalable dimension. A scheduled action applies to the scalable target identified by those three attributes. You cannot create a scheduled action until you have registered the resource as a scalable target.

When start and end times are specified with a recurring schedule using a cron expression or rates, they form the boundaries for when the recurring action starts and stops.

To update a scheduled action, specify the parameters that you want to change. If you don't specify start and end times, the old values are deleted.

For more information, see Scheduled scaling in the Application Auto Scaling User Guide.

registerScalableTarget(_:logger:on:)

public func registerScalableTarget(_ input: RegisterScalableTargetRequest, logger: Logger = AWSClient.loggingDisabled, on eventLoop: EventLoop? = nil) -> EventLoopFuture<RegisterScalableTargetResponse> 

Registers or updates a scalable target.

A scalable target is a resource that Application Auto Scaling can scale out and scale in. Scalable targets are uniquely identified by the combination of resource ID, scalable dimension, and namespace.

When you register a new scalable target, you must specify values for minimum and maximum capacity. Current capacity will be adjusted within the specified range when scaling starts. Application Auto Scaling scaling policies will not scale capacity to values that are outside of this range.

After you register a scalable target, you do not need to register it again to use other Application Auto Scaling operations. To see which resources have been registered, use DescribeScalableTargets. You can also view the scaling policies for a service namespace by using DescribeScalableTargets. If you no longer need a scalable target, you can deregister it by using DeregisterScalableTarget.

To update a scalable target, specify the parameters that you want to change. Include the parameters that identify the scalable target: resource ID, scalable dimension, and namespace. Any parameters that you don't specify are not changed by this update request.

describeScalableTargetsPaginator(_:logger:on:)

compiler(>=5.5.2) && canImport(_Concurrency)

public func describeScalableTargetsPaginator(
        _ input: DescribeScalableTargetsRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil
    ) -> AWSClient.PaginatorSequence<DescribeScalableTargetsRequest, DescribeScalableTargetsResponse> 

Gets information about the scalable targets in the specified namespace.

You can filter the results using ResourceIds and ScalableDimension.

Return PaginatorSequence for operation. - Parameters: - input: Input for request - logger: Logger used flot logging - eventLoop: EventLoop to run this process on

describeScalingActivitiesPaginator(_:logger:on:)

compiler(>=5.5.2) && canImport(_Concurrency)

public func describeScalingActivitiesPaginator(
        _ input: DescribeScalingActivitiesRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil
    ) -> AWSClient.PaginatorSequence<DescribeScalingActivitiesRequest, DescribeScalingActivitiesResponse> 

Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.

You can filter the results using ResourceId and ScalableDimension.

Return PaginatorSequence for operation. - Parameters: - input: Input for request - logger: Logger used flot logging - eventLoop: EventLoop to run this process on

describeScalingPoliciesPaginator(_:logger:on:)

compiler(>=5.5.2) && canImport(_Concurrency)

public func describeScalingPoliciesPaginator(
        _ input: DescribeScalingPoliciesRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil
    ) -> AWSClient.PaginatorSequence<DescribeScalingPoliciesRequest, DescribeScalingPoliciesResponse> 

Describes the Application Auto Scaling scaling policies for the specified service namespace.

You can filter the results using ResourceId, ScalableDimension, and PolicyNames.

For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

Return PaginatorSequence for operation. - Parameters: - input: Input for request - logger: Logger used flot logging - eventLoop: EventLoop to run this process on

describeScheduledActionsPaginator(_:logger:on:)

compiler(>=5.5.2) && canImport(_Concurrency)

public func describeScheduledActionsPaginator(
        _ input: DescribeScheduledActionsRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil
    ) -> AWSClient.PaginatorSequence<DescribeScheduledActionsRequest, DescribeScheduledActionsResponse> 

Describes the Application Auto Scaling scheduled actions for the specified service namespace.

You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters.

For more information, see Scheduled scaling and Managing scheduled scaling in the Application Auto Scaling User Guide.

Return PaginatorSequence for operation. - Parameters: - input: Input for request - logger: Logger used flot logging - eventLoop: EventLoop to run this process on

describeScalableTargetsPaginator(_:_:logger:on:onPage:)

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:​_:​) -> Result.

public func describeScalableTargetsPaginator<Result>(
        _ input: DescribeScalableTargetsRequest,
        _ initialValue: Result,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (Result, DescribeScalableTargetsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>
    ) -> EventLoopFuture<Result> 

Gets information about the scalable targets in the specified namespace.

You can filter the results using ResourceIds and ScalableDimension.

Parameters:

• input: Input for request

• initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.

• logger: Logger used flot logging

• eventLoop: EventLoop to run this process on

• onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

describeScalableTargetsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func describeScalableTargetsPaginator(
        _ input: DescribeScalableTargetsRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (DescribeScalableTargetsResponse, EventLoop) -> EventLoopFuture<Bool>
    ) -> EventLoopFuture<Void> 

Parameters

• input: Input for request
• logger: Logger used flot logging
• eventLoop: EventLoop to run this process on
• onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

describeScalingActivitiesPaginator(_:_:logger:on:onPage:)

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:​_:​) -> Result.

public func describeScalingActivitiesPaginator<Result>(
        _ input: DescribeScalingActivitiesRequest,
        _ initialValue: Result,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (Result, DescribeScalingActivitiesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>
    ) -> EventLoopFuture<Result> 

Provides descriptive information about the scaling activities in the specified namespace from the previous six weeks.

You can filter the results using ResourceId and ScalableDimension.

Parameters:

• input: Input for request

• initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.

• logger: Logger used flot logging

• eventLoop: EventLoop to run this process on

• onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

describeScalingActivitiesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func describeScalingActivitiesPaginator(
        _ input: DescribeScalingActivitiesRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (DescribeScalingActivitiesResponse, EventLoop) -> EventLoopFuture<Bool>
    ) -> EventLoopFuture<Void> 

Parameters

• input: Input for request
• logger: Logger used flot logging
• eventLoop: EventLoop to run this process on
• onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

describeScalingPoliciesPaginator(_:_:logger:on:onPage:)

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:​_:​) -> Result.

public func describeScalingPoliciesPaginator<Result>(
        _ input: DescribeScalingPoliciesRequest,
        _ initialValue: Result,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (Result, DescribeScalingPoliciesResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>
    ) -> EventLoopFuture<Result> 

Describes the Application Auto Scaling scaling policies for the specified service namespace.

You can filter the results using ResourceId, ScalableDimension, and PolicyNames.

For more information, see Target tracking scaling policies and Step scaling policies in the Application Auto Scaling User Guide.

Parameters:

• input: Input for request

• initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.

• logger: Logger used flot logging

• eventLoop: EventLoop to run this process on

• onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

describeScalingPoliciesPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func describeScalingPoliciesPaginator(
        _ input: DescribeScalingPoliciesRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (DescribeScalingPoliciesResponse, EventLoop) -> EventLoopFuture<Bool>
    ) -> EventLoopFuture<Void> 

Parameters

• input: Input for request
• logger: Logger used flot logging
• eventLoop: EventLoop to run this process on
• onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.

describeScheduledActionsPaginator(_:_:logger:on:onPage:)

Provide paginated results to closure onPage for it to combine them into one result. This works in a similar manner to Array.reduce<Result>(_:​_:​) -> Result.

public func describeScheduledActionsPaginator<Result>(
        _ input: DescribeScheduledActionsRequest,
        _ initialValue: Result,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (Result, DescribeScheduledActionsResponse, EventLoop) -> EventLoopFuture<(Bool, Result)>
    ) -> EventLoopFuture<Result> 

Describes the Application Auto Scaling scheduled actions for the specified service namespace.

You can filter the results using the ResourceId, ScalableDimension, and ScheduledActionNames parameters.

For more information, see Scheduled scaling and Managing scheduled scaling in the Application Auto Scaling User Guide.

Parameters:

• input: Input for request

• initialValue: The value to use as the initial accumulating value. initialValue is passed to onPage the first time it is called.

• logger: Logger used flot logging

• eventLoop: EventLoop to run this process on

• onPage: closure called with each paginated response. It combines an accumulating result with the contents of response. This combined result is then returned along with a boolean indicating if the paginate operation should continue.

describeScheduledActionsPaginator(_:logger:on:onPage:)

Provide paginated results to closure onPage.

public func describeScheduledActionsPaginator(
        _ input: DescribeScheduledActionsRequest,
        logger: Logger = AWSClient.loggingDisabled,
        on eventLoop: EventLoop? = nil,
        onPage: @escaping (DescribeScheduledActionsResponse, EventLoop) -> EventLoopFuture<Bool>
    ) -> EventLoopFuture<Void> 

Parameters

• input: Input for request
• logger: Logger used flot logging
• eventLoop: EventLoop to run this process on
• onPage: closure called with each block of entries. Returns boolean indicating whether we should continue.