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Class: Aws::AutoScalingPlans::Types::ScalingInstruction

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing ScalingInstruction as input to an Aws::Client method, you can use a vanilla Hash:

{
  service_namespace: "autoscaling", # required, accepts autoscaling, ecs, ec2, rds, dynamodb
  resource_id: "ResourceIdMaxLen1600", # required
  scalable_dimension: "autoscaling:autoScalingGroup:DesiredCapacity", # required, accepts autoscaling:autoScalingGroup:DesiredCapacity, ecs:service:DesiredCount, ec2:spot-fleet-request:TargetCapacity, rds:cluster:ReadReplicaCount, dynamodb:table:ReadCapacityUnits, dynamodb:table:WriteCapacityUnits, dynamodb:index:ReadCapacityUnits, dynamodb:index:WriteCapacityUnits
  min_capacity: 1, # required
  max_capacity: 1, # required
  target_tracking_configurations: [ # required
    {
      predefined_scaling_metric_specification: {
        predefined_scaling_metric_type: "ASGAverageCPUUtilization", # required, accepts ASGAverageCPUUtilization, ASGAverageNetworkIn, ASGAverageNetworkOut, DynamoDBReadCapacityUtilization, DynamoDBWriteCapacityUtilization, ECSServiceAverageCPUUtilization, ECSServiceAverageMemoryUtilization, ALBRequestCountPerTarget, RDSReaderAverageCPUUtilization, RDSReaderAverageDatabaseConnections, EC2SpotFleetRequestAverageCPUUtilization, EC2SpotFleetRequestAverageNetworkIn, EC2SpotFleetRequestAverageNetworkOut
        resource_label: "ResourceLabel",
      },
      customized_scaling_metric_specification: {
        metric_name: "MetricName", # required
        namespace: "MetricNamespace", # required
        dimensions: [
          {
            name: "MetricDimensionName", # required
            value: "MetricDimensionValue", # required
          },
        ],
        statistic: "Average", # required, accepts Average, Minimum, Maximum, SampleCount, Sum
        unit: "MetricUnit",
      },
      target_value: 1.0, # required
      disable_scale_in: false,
      scale_out_cooldown: 1,
      scale_in_cooldown: 1,
      estimated_instance_warmup: 1,
    },
  ],
  predefined_load_metric_specification: {
    predefined_load_metric_type: "ASGTotalCPUUtilization", # required, accepts ASGTotalCPUUtilization, ASGTotalNetworkIn, ASGTotalNetworkOut, ALBTargetGroupRequestCount
    resource_label: "ResourceLabel",
  },
  customized_load_metric_specification: {
    metric_name: "MetricName", # required
    namespace: "MetricNamespace", # required
    dimensions: [
      {
        name: "MetricDimensionName", # required
        value: "MetricDimensionValue", # required
      },
    ],
    statistic: "Average", # required, accepts Average, Minimum, Maximum, SampleCount, Sum
    unit: "MetricUnit",
  },
  scheduled_action_buffer_time: 1,
  predictive_scaling_max_capacity_behavior: "SetForecastCapacityToMaxCapacity", # accepts SetForecastCapacityToMaxCapacity, SetMaxCapacityToForecastCapacity, SetMaxCapacityAboveForecastCapacity
  predictive_scaling_max_capacity_buffer: 1,
  predictive_scaling_mode: "ForecastAndScale", # accepts ForecastAndScale, ForecastOnly
  scaling_policy_update_behavior: "KeepExternalPolicies", # accepts KeepExternalPolicies, ReplaceExternalPolicies
  disable_dynamic_scaling: false,
}

Describes a scaling instruction for a scalable resource.

The scaling instruction is used in combination with a scaling plan, which is a set of instructions for configuring dynamic scaling and predictive scaling for the scalable resources in your application. 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 Getting Started with AWS Auto Scaling.

Instance Attribute Summary collapse

Instance Attribute Details

#customized_load_metric_specificationTypes::CustomizedLoadMetricSpecification

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.

Returns:

#disable_dynamic_scalingBoolean

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).

Returns:

  • (Boolean)

    Controls whether dynamic scaling by AWS Auto Scaling is disabled.

#max_capacityInteger

The maximum capacity of the resource. The exception to this upper limit is if you specify a non-default setting for PredictiveScalingMaxCapacityBehavior.

Returns:

  • (Integer)

    The maximum capacity of the resource.

#min_capacityInteger

The minimum capacity of the resource.

Returns:

  • (Integer)

    The minimum capacity of the resource.

#predefined_load_metric_specificationTypes::PredefinedLoadMetricSpecification

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.

Returns:

#predictive_scaling_max_capacity_behaviorString

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.

Possible values:

  • SetForecastCapacityToMaxCapacity
  • SetMaxCapacityToForecastCapacity
  • SetMaxCapacityAboveForecastCapacity

Returns:

  • (String)

    Defines the behavior that should be applied if the forecast capacity approaches or exceeds the maximum capacity specified for the resource.

#predictive_scaling_max_capacity_bufferInteger

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.

Returns:

  • (Integer)

    The size of the capacity buffer to use when the forecast capacity is close to or exceeds the maximum capacity.

#predictive_scaling_modeString

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.

Possible values:

  • ForecastAndScale
  • ForecastOnly

Returns:

  • (String)

    The predictive scaling mode.

#resource_idString

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.

Returns:

  • (String)

    The ID of the resource.

#scalable_dimensionString

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.

    Possible values:

    • autoscaling:autoScalingGroup:DesiredCapacity
    • ecs:service:DesiredCount
    • ec2:spot-fleet-request:TargetCapacity
    • rds:cluster:ReadReplicaCount
    • dynamodb:table:ReadCapacityUnits
    • dynamodb:table:WriteCapacityUnits
    • dynamodb:index:ReadCapacityUnits
    • dynamodb:index:WriteCapacityUnits

Returns:

  • (String)

    The scalable dimension associated with the resource.

#scaling_policy_update_behaviorString

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.

Possible values:

  • KeepExternalPolicies
  • ReplaceExternalPolicies

Returns:

  • (String)

    Controls whether a resource\'s externally created scaling policies are kept or replaced.

#scheduled_action_buffer_timeInteger

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.

Returns:

  • (Integer)

    The amount of time, in seconds, to buffer the run time of scheduled scaling actions when scaling out.

#service_namespaceString

The namespace of the AWS service.

Possible values:

  • autoscaling
  • ecs
  • ec2
  • rds
  • dynamodb

Returns:

  • (String)

    The namespace of the AWS service.

#target_tracking_configurationsArray<Types::TargetTrackingConfiguration>

The structure that defines new target tracking configurations (up to 10). Each of these structures includes a specific scaling metric and a target value for the metric, along with various parameters to use with dynamic scaling.

With predictive scaling and dynamic scaling, the resource scales based on the target tracking configuration that provides the largest capacity for both scale in and scale out.

Condition: The scaling metric must be unique across target tracking configurations.

Returns: