import type { ForecastDataType, LoadMetricType, MetricStatistic, PolicyType, PredictiveScalingMaxCapacityBehavior, PredictiveScalingMode, ScalableDimension, ScalingMetricType, ScalingPlanStatusCode, ScalingPolicyUpdateBehavior, ScalingStatusCode, ServiceNamespace } from "./enums"; /** *
Represents a tag.
* @public */ export interface TagFilter { /** *The tag key.
* @public */ Key?: string | undefined; /** *The tag values (0 to 20).
* @public */ Values?: string[] | undefined; } /** *Represents an application source.
* @public */ export interface ApplicationSource { /** *The Amazon Resource Name (ARN) of a AWS CloudFormation stack.
* @public */ CloudFormationStackARN?: string | undefined; /** *A set of tags (up to 50).
* @public */ TagFilters?: TagFilter[] | undefined; } /** *Represents a dimension for a customized metric.
* @public */ export interface MetricDimension { /** *The name of the dimension.
* @public */ Name: string | undefined; /** *The value of the dimension.
* @public */ Value: string | undefined; } /** *Represents a CloudWatch metric of your choosing that can be used for predictive scaling.
*For predictive scaling to work with a customized load metric specification, AWS Auto Scaling
* needs access to the Sum and Average statistics that CloudWatch computes
* from metric data.
When you choose a load metric, make sure that the required Sum and
* Average statistics for your metric are available in CloudWatch and that they
* provide relevant data for predictive scaling. The Sum statistic must represent
* the total load on the resource, and the Average statistic must represent the
* average load per capacity unit of the resource. For example, there is a metric that counts
* the number of requests processed by your Auto Scaling group. If the Sum statistic
* represents the total request count processed by the group, then the Average
* statistic for the specified metric must represent the average request count processed by
* each instance of the group.
If you publish your own metrics, you can aggregate the data points at a given interval * and then publish the aggregated data points to CloudWatch. Before AWS Auto Scaling generates the * forecast, it sums up all the metric data points that occurred within each hour to match the * granularity period that is used in the forecast (60 minutes).
*For information about terminology, available metrics, or how to publish new metrics, see * Amazon CloudWatch * Concepts in the Amazon CloudWatch User Guide.
*After creating your scaling plan, you can use the AWS Auto Scaling console to visualize * forecasts for the specified metric. For more information, see View * Scaling Information for a Resource in the * AWS Auto Scaling User Guide.
* @public */ export interface CustomizedLoadMetricSpecification { /** *The name of the metric.
* @public */ MetricName: string | undefined; /** *The namespace of the metric.
* @public */ Namespace: string | undefined; /** *The dimensions of the metric.
*Conditional: If you published your metric with dimensions, you must specify the same * dimensions in your customized load metric specification.
* @public */ Dimensions?: MetricDimension[] | undefined; /** *The statistic of the metric. The only valid value is Sum.
The unit of the metric.
* @public */ Unit?: string | undefined; } /** *Represents a predefined metric that can be used for predictive scaling.
*After creating your scaling plan, you can use the AWS Auto Scaling console to visualize * forecasts for the specified metric. For more information, see View * Scaling Information for a Resource in the * AWS Auto Scaling User Guide.
* @public */ export interface PredefinedLoadMetricSpecification { /** *The metric type.
* @public */ PredefinedLoadMetricType: LoadMetricType | undefined; /** *Identifies the resource associated with the metric type. You can't specify a resource
* label unless the metric type is ALBTargetGroupRequestCount and there is a
* target group for an Application Load Balancer attached to the Auto Scaling group.
You create the resource label by appending the final portion of the load balancer ARN
* and the final portion of the target group ARN into a single value, separated by a forward
* slash (/). The format is
* app/
app/
targetgroup/
This is an example: * app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d.
*To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use * the DescribeTargetGroups API operation.
* @public */ ResourceLabel?: string | undefined; } /** *Represents a CloudWatch metric of your choosing that can be used for dynamic scaling as part * of a target tracking scaling policy.
*To create your customized scaling metric specification:
*Add values for each required parameter from CloudWatch. You can use an existing metric, * or a new metric that you create. To use your own metric, you must first publish the * metric to CloudWatch. For more information, see Publish Custom * Metrics in the Amazon CloudWatch User Guide.
*Choose a metric that changes proportionally with capacity. The value of the metric * should increase or decrease in inverse proportion to the number of capacity units. * That is, the value of the metric should decrease when capacity increases.
*For information about terminology, available metrics, or how to publish new metrics, see * Amazon CloudWatch * Concepts in the Amazon CloudWatch User Guide.
* @public */ export interface CustomizedScalingMetricSpecification { /** *The name of the metric.
* @public */ MetricName: string | undefined; /** *The namespace of the metric.
* @public */ Namespace: string | undefined; /** *The dimensions of the metric.
*Conditional: If you published your metric with dimensions, you must specify the same * dimensions in your customized scaling metric specification.
* @public */ Dimensions?: MetricDimension[] | undefined; /** *The statistic of the metric.
* @public */ Statistic: MetricStatistic | undefined; /** *The unit of the metric.
* @public */ Unit?: string | undefined; } /** *Represents a predefined metric that can be used for dynamic scaling as part of a target * tracking scaling policy.
* @public */ export interface PredefinedScalingMetricSpecification { /** *The metric type. The ALBRequestCountPerTarget metric type applies only to
* Auto Scaling groups, Spot Fleet requests, and ECS services.
Identifies the resource associated with the metric type. You can't specify a resource
* label unless the metric type is ALBRequestCountPerTarget and there is a target
* group for an Application Load Balancer attached to the Auto Scaling group, Spot Fleet request, or
* ECS service.
You create the resource label by appending the final portion of the load balancer ARN
* and the final portion of the target group ARN into a single value, separated by a forward
* slash (/). The format is
* app/
app/
targetgroup/
This is an example: * app/EC2Co-EcsEl-1TKLTMITMM0EO/f37c06a68c1748aa/targetgroup/EC2Co-Defau-LDNM7Q3ZH1ZN/6d4ea56ca2d6a18d.
*To find the ARN for an Application Load Balancer, use the DescribeLoadBalancers API operation. To find the ARN for the target group, use * the DescribeTargetGroups API operation.
* @public */ ResourceLabel?: string | undefined; } /** *Describes a target tracking configuration to use with AWS Auto Scaling. Used with ScalingInstruction and ScalingPolicy.
* @public */ export interface TargetTrackingConfiguration { /** *A predefined metric. You can specify either a predefined metric or a customized * metric.
* @public */ PredefinedScalingMetricSpecification?: PredefinedScalingMetricSpecification | undefined; /** *A customized metric. You can specify either a predefined metric or a customized metric. *
* @public */ CustomizedScalingMetricSpecification?: CustomizedScalingMetricSpecification | undefined; /** *The target value for the metric. Although this property accepts numbers of type Double, * it won't accept values that are either too small or too large. Values must be in the range * of -2^360 to 2^360.
* @public */ TargetValue: number | undefined; /** *Indicates whether scale in by the target tracking scaling policy is disabled. If the
* value is true, scale in is disabled and the target tracking scaling policy
* doesn't remove capacity from the scalable resource. Otherwise, scale in is enabled and the
* target tracking scaling policy can remove capacity from the scalable resource.
The default value is false.
The amount of time, in seconds, to wait for a previous scale-out activity to take * effect. This property is not used if the scalable resource is an Auto Scaling * group.
*With the scale-out cooldown period, the intention is to continuously * (but not excessively) scale out. After Auto Scaling successfully scales out using a target * tracking scaling policy, it starts to calculate the cooldown time. The scaling policy won't * increase the desired capacity again unless either a larger scale out is triggered or the * cooldown period ends.
* @public */ ScaleOutCooldown?: number | undefined; /** *The amount of time, in seconds, after a scale-in activity completes before another * scale-in activity can start. This property is not used if the scalable resource is an Auto Scaling * group.
*With the scale-in cooldown period, the intention is to scale in * conservatively to protect your application’s availability, so scale-in activities are blocked * until the cooldown period has expired. However, if another alarm triggers a scale-out activity * during the scale-in cooldown period, Auto Scaling scales out the target immediately. In this case, * the scale-in cooldown period stops and doesn't complete.
* @public */ ScaleInCooldown?: number | undefined; /** *The estimated time, in seconds, until a newly launched instance can contribute to the * CloudWatch metrics. This value is used only if the resource is an Auto Scaling group.
* @public */ EstimatedInstanceWarmup?: number | undefined; } /** *Describes a scaling instruction for a scalable resource in a scaling plan. Each scaling * instruction applies to one resource.
*AWS Auto Scaling creates target tracking scaling policies based on the scaling instructions. * Target tracking scaling policies adjust the capacity of your scalable resource as required * to maintain resource utilization at the target value that you specified.
*AWS Auto Scaling also configures predictive scaling for your Amazon EC2 Auto Scaling groups using a subset of * parameters, including the load metric, the scaling metric, the target value for the scaling * metric, the predictive scaling mode (forecast and scale or forecast only), and the desired * behavior when the forecast capacity exceeds the maximum capacity of the resource. With * predictive scaling, AWS Auto Scaling generates forecasts with traffic predictions for the two days * ahead and schedules scaling actions that proactively add and remove resource capacity to * match the forecast.
*We recommend waiting a minimum of 24 hours after creating an Auto Scaling group to configure * predictive scaling. At minimum, there must be 24 hours of historical data to generate a * forecast. For more information, see Best Practices for * AWS Auto Scaling in the AWS Auto Scaling User Guide.
*The namespace of the AWS service.
* @public */ ServiceNamespace: ServiceNamespace | undefined; /** *The ID of the resource. This string consists of the resource type and unique * identifier.
*Auto Scaling group - The resource type is autoScalingGroup and the unique identifier is the
* name of the Auto Scaling group. Example: autoScalingGroup/my-asg.
ECS service - The resource type is service and the unique identifier is the cluster name
* and service name. Example: service/default/sample-webapp.
Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the
* Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
DynamoDB table - The resource type is table and the unique identifier is the resource ID.
* Example: table/my-table.
DynamoDB global secondary index - The resource type is index and the unique identifier is the resource ID.
* Example: table/my-table/index/my-table-index.
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name.
* Example: cluster:my-db-cluster.
The scalable dimension associated with the resource.
*
* autoscaling:autoScalingGroup:DesiredCapacity - The desired capacity of an Auto Scaling group.
* ecs:service:DesiredCount - The desired task count of an ECS service.
* ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request.
* dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
* dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
* dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
* dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
* rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
The minimum capacity of the resource.
* @public */ MinCapacity: number | undefined; /** *The maximum capacity of the resource. The exception to this upper limit is if you * specify a non-default setting for PredictiveScalingMaxCapacityBehavior.
* @public */ MaxCapacity: number | undefined; /** *The target tracking configurations (up to 10). Each of these structures must specify a * unique scaling metric and a target value for the metric.
* @public */ TargetTrackingConfigurations: TargetTrackingConfiguration[] | undefined; /** *The predefined load metric to use for predictive scaling. This parameter or a CustomizedLoadMetricSpecification is required when configuring * predictive scaling, and cannot be used otherwise.
* @public */ PredefinedLoadMetricSpecification?: PredefinedLoadMetricSpecification | undefined; /** *The customized load metric to use for predictive scaling. This parameter or a PredefinedLoadMetricSpecification is required when configuring * predictive scaling, and cannot be used otherwise.
* @public */ CustomizedLoadMetricSpecification?: CustomizedLoadMetricSpecification | undefined; /** *The amount of time, in seconds, to buffer the run time of scheduled scaling actions when * scaling out. For example, if the forecast says to add capacity at 10:00 AM, and the buffer * time is 5 minutes, then the run time of the corresponding scheduled scaling action will be * 9:55 AM. The intention is to give resources time to be provisioned. For example, it can * take a few minutes to launch an EC2 instance. The actual amount of time required depends on * several factors, such as the size of the instance and whether there are startup scripts to * complete.
*The value must be less than the forecast interval duration of 3600 seconds (60 minutes). * The default is 300 seconds.
*Only valid when configuring predictive scaling.
* @public */ ScheduledActionBufferTime?: number | undefined; /** *Defines the behavior that should be applied if the forecast capacity approaches or
* exceeds the maximum capacity specified for the resource. The default value is
* SetForecastCapacityToMaxCapacity.
The following are possible values:
*
* SetForecastCapacityToMaxCapacity - AWS Auto Scaling cannot scale resource
* capacity higher than the maximum capacity. The maximum capacity is enforced as a hard
* limit.
* SetMaxCapacityToForecastCapacity - AWS Auto Scaling may scale resource
* capacity higher than the maximum capacity to equal but not exceed forecast
* capacity.
* SetMaxCapacityAboveForecastCapacity - AWS Auto Scaling may scale resource
* capacity higher than the maximum capacity by a specified buffer value. The intention
* is to give the target tracking scaling policy extra capacity if unexpected traffic
* occurs.
Only valid when configuring predictive scaling.
* @public */ PredictiveScalingMaxCapacityBehavior?: PredictiveScalingMaxCapacityBehavior | undefined; /** *The size of the capacity buffer to use when the forecast capacity is close to or exceeds * the maximum capacity. The value is specified as a percentage relative to the forecast * capacity. For example, if the buffer is 10, this means a 10 percent buffer, such that if * the forecast capacity is 50, and the maximum capacity is 40, then the effective maximum * capacity is 55.
*Only valid when configuring predictive scaling. Required if the PredictiveScalingMaxCapacityBehavior is set to
* SetMaxCapacityAboveForecastCapacity, and cannot be used otherwise.
The range is 1-100.
* @public */ PredictiveScalingMaxCapacityBuffer?: number | undefined; /** *The predictive scaling mode. The default value is ForecastAndScale.
* Otherwise, AWS Auto Scaling forecasts capacity but does not create any scheduled scaling actions
* based on the capacity forecast.
Controls whether a resource's externally created scaling policies are kept or replaced.
*The default value is KeepExternalPolicies. If the parameter is set to
* ReplaceExternalPolicies, any scaling policies that are external to AWS Auto Scaling
* are deleted and new target tracking scaling policies created.
Only valid when configuring dynamic scaling.
*Condition: The number of existing policies to be replaced must be less than or equal to * 50. If there are more than 50 policies to be replaced, AWS Auto Scaling keeps all existing policies * and does not create new ones.
* @public */ ScalingPolicyUpdateBehavior?: ScalingPolicyUpdateBehavior | undefined; /** *Controls whether dynamic scaling by AWS Auto Scaling is disabled. When dynamic scaling is * enabled, AWS Auto Scaling creates target tracking scaling policies based on the specified target * tracking configurations.
*The default is enabled (false).
The name of the scaling plan. Names cannot contain vertical bars, colons, or forward * slashes.
* @public */ ScalingPlanName: string | undefined; /** *A CloudFormation stack or set of tags. You can create one scaling plan per application * source.
*For more information, see ApplicationSource in the AWS Auto Scaling API Reference.
* @public */ ApplicationSource: ApplicationSource | undefined; /** *The scaling instructions.
*For more information, see ScalingInstruction in the AWS Auto Scaling API Reference.
* @public */ ScalingInstructions: ScalingInstruction[] | undefined; } /** * @public */ export interface CreateScalingPlanResponse { /** *The version number of the scaling plan. This value is always 1. Currently,
* you cannot have multiple scaling plan versions.
The name of the scaling plan.
* @public */ ScalingPlanName: string | undefined; /** *The version number of the scaling plan. Currently, the only valid value is
* 1.
The name of the scaling plan.
* @public */ ScalingPlanName: string | undefined; /** *The version number of the scaling plan. Currently, the only valid value is
* 1.
The maximum number of scalable resources to return. The value must be between * 1 and 50. The default value is 50.
* @public */ MaxResults?: number | undefined; /** *The token for the next set of results.
* @public */ NextToken?: string | undefined; } /** *Represents a scaling policy.
* @public */ export interface ScalingPolicy { /** *The name of the scaling policy.
* @public */ PolicyName: string | undefined; /** *The type of scaling policy.
* @public */ PolicyType: PolicyType | undefined; /** *The target tracking scaling policy. Includes support for predefined or customized * metrics.
* @public */ TargetTrackingConfiguration?: TargetTrackingConfiguration | undefined; } /** *Represents a scalable resource.
* @public */ export interface ScalingPlanResource { /** *The name of the scaling plan.
* @public */ ScalingPlanName: string | undefined; /** *The version number of the scaling plan.
* @public */ ScalingPlanVersion: number | undefined; /** *The namespace of the AWS service.
* @public */ ServiceNamespace: ServiceNamespace | undefined; /** *The ID of the resource. This string consists of the resource type and unique * identifier.
*Auto Scaling group - The resource type is autoScalingGroup and the unique identifier is the
* name of the Auto Scaling group. Example: autoScalingGroup/my-asg.
ECS service - The resource type is service and the unique identifier is the cluster name
* and service name. Example: service/default/sample-webapp.
Spot Fleet request - The resource type is spot-fleet-request and the unique identifier is the
* Spot Fleet request ID. Example: spot-fleet-request/sfr-73fbd2ce-aa30-494c-8788-1cee4EXAMPLE.
DynamoDB table - The resource type is table and the unique identifier is the resource ID.
* Example: table/my-table.
DynamoDB global secondary index - The resource type is index and the unique identifier is the resource ID.
* Example: table/my-table/index/my-table-index.
Aurora DB cluster - The resource type is cluster and the unique identifier is the cluster name.
* Example: cluster:my-db-cluster.
The scalable dimension for the resource.
*
* autoscaling:autoScalingGroup:DesiredCapacity - The desired capacity of an Auto Scaling group.
* ecs:service:DesiredCount - The desired task count of an ECS service.
* ec2:spot-fleet-request:TargetCapacity - The target capacity of a Spot Fleet request.
* dynamodb:table:ReadCapacityUnits - The provisioned read capacity for a DynamoDB table.
* dynamodb:table:WriteCapacityUnits - The provisioned write capacity for a DynamoDB table.
* dynamodb:index:ReadCapacityUnits - The provisioned read capacity for a DynamoDB global secondary index.
* dynamodb:index:WriteCapacityUnits - The provisioned write capacity for a DynamoDB global secondary index.
* rds:cluster:ReadReplicaCount - The count of Aurora Replicas in an Aurora DB cluster. Available for Aurora MySQL-compatible edition and Aurora PostgreSQL-compatible edition.
The scaling policies.
* @public */ ScalingPolicies?: ScalingPolicy[] | undefined; /** *The scaling status of the resource.
*
* Active - The scaling configuration is active.
* Inactive - The scaling configuration is not active because the
* scaling plan is being created or the scaling configuration could not be applied.
* Check the status message for more information.
* PartiallyActive - The scaling configuration is partially active
* because the scaling plan is being created or deleted or the scaling configuration
* could not be fully applied. Check the status message for more information.
A simple message about the current scaling status of the resource.
* @public */ ScalingStatusMessage?: string | undefined; } /** * @public */ export interface DescribeScalingPlanResourcesResponse { /** *Information about the scalable resources.
* @public */ ScalingPlanResources?: ScalingPlanResource[] | undefined; /** *The token required to get the next set of results. This value is null if
* there are no more results to return.
The names of the scaling plans (up to 10). If you specify application sources, you * cannot specify scaling plan names.
* @public */ ScalingPlanNames?: string[] | undefined; /** *The version number of the scaling plan. Currently, the only valid value is
* 1.
If you specify a scaling plan version, you must also specify a scaling plan * name.
*The sources for the applications (up to 10). If you specify scaling plan names, you * cannot specify application sources.
* @public */ ApplicationSources?: ApplicationSource[] | undefined; /** *The maximum number of scalable resources to return. This value can be between * 1 and 50. The default value is 50.
* @public */ MaxResults?: number | undefined; /** *The token for the next set of results.
* @public */ NextToken?: string | undefined; } /** *Represents a scaling plan.
* @public */ export interface ScalingPlan { /** *The name of the scaling plan.
* @public */ ScalingPlanName: string | undefined; /** *The version number of the scaling plan.
* @public */ ScalingPlanVersion: number | undefined; /** *A CloudFormation stack or a set of tags. You can create one scaling plan per application * source.
* @public */ ApplicationSource: ApplicationSource | undefined; /** *The scaling instructions.
* @public */ ScalingInstructions: ScalingInstruction[] | undefined; /** *The status of the scaling plan.
*
* Active - The scaling plan is active.
* ActiveWithProblems - The scaling plan is active, but the scaling
* configuration for one or more resources could not be applied.
* CreationInProgress - The scaling plan is being created.
* CreationFailed - The scaling plan could not be created.
* DeletionInProgress - The scaling plan is being deleted.
* DeletionFailed - The scaling plan could not be deleted.
* UpdateInProgress - The scaling plan is being updated.
* UpdateFailed - The scaling plan could not be updated.
A simple message about the current status of the scaling plan.
* @public */ StatusMessage?: string | undefined; /** *The Unix time stamp when the scaling plan entered the current status.
* @public */ StatusStartTime?: Date | undefined; /** *The Unix time stamp when the scaling plan was created.
* @public */ CreationTime?: Date | undefined; } /** * @public */ export interface DescribeScalingPlansResponse { /** *Information about the scaling plans.
* @public */ ScalingPlans?: ScalingPlan[] | undefined; /** *The token required to get the next set of results. This value is null if
* there are no more results to return.
The name of the scaling plan.
* @public */ ScalingPlanName: string | undefined; /** *The version number of the scaling plan. Currently, the only valid value is
* 1.
The namespace of the AWS service. The only valid value is autoscaling.
*
The ID of the resource. This string consists of a prefix (autoScalingGroup)
* followed by the name of a specified Auto Scaling group (my-asg). Example:
* autoScalingGroup/my-asg.
The scalable dimension for the resource. The only valid value is
* autoscaling:autoScalingGroup:DesiredCapacity.
The type of forecast data to get.
*
* LoadForecast: The load metric forecast.
* CapacityForecast: The capacity forecast.
* ScheduledActionMinCapacity: The minimum capacity for each scheduled
* scaling action. This data is calculated as the larger of two values: the capacity
* forecast or the minimum capacity in the scaling instruction.
* ScheduledActionMaxCapacity: The maximum capacity for each scheduled
* scaling action. The calculation used is determined by the predictive scaling maximum
* capacity behavior setting in the scaling instruction.
The inclusive start time of the time range for the forecast data to get. The date and * time can be at most 56 days before the current date and time.
* @public */ StartTime: Date | undefined; /** *The exclusive end time of the time range for the forecast data to get. The maximum time * duration between the start and end time is seven days.
*Although this parameter can accept a date and time that is more than two days in the * future, the availability of forecast data has limits. AWS Auto Scaling only issues forecasts for * periods of two days in advance.
* @public */ EndTime: Date | undefined; } /** *Represents a single value in the forecast data used for predictive scaling.
* @public */ export interface Datapoint { /** *The time stamp for the data point in UTC format.
* @public */ Timestamp?: Date | undefined; /** *The value of the data point.
* @public */ Value?: number | undefined; } /** * @public */ export interface GetScalingPlanResourceForecastDataResponse { /** *The data points to return.
* @public */ Datapoints: Datapoint[] | undefined; } /** * @public */ export interface UpdateScalingPlanRequest { /** *The name of the scaling plan.
* @public */ ScalingPlanName: string | undefined; /** *The version number of the scaling plan. The only valid value is 1.
* Currently, you cannot have multiple scaling plan versions.
A CloudFormation stack or set of tags.
*For more information, see ApplicationSource in the AWS Auto Scaling API Reference.
* @public */ ApplicationSource?: ApplicationSource | undefined; /** *The scaling instructions.
*For more information, see ScalingInstruction in the AWS Auto Scaling API Reference.
* @public */ ScalingInstructions?: ScalingInstruction[] | undefined; } /** * @public */ export interface UpdateScalingPlanResponse { }