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Class: Aws::ApplicationAutoScaling::Types::TargetTrackingScalingPolicyConfiguration

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

Overview

Note:

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

{
  target_value: 1.0, # required
  predefined_metric_specification: {
    predefined_metric_type: "DynamoDBReadCapacityUtilization", # required, accepts DynamoDBReadCapacityUtilization, DynamoDBWriteCapacityUtilization, ALBRequestCountPerTarget, RDSReaderAverageCPUUtilization, RDSReaderAverageDatabaseConnections, EC2SpotFleetRequestAverageCPUUtilization, EC2SpotFleetRequestAverageNetworkIn, EC2SpotFleetRequestAverageNetworkOut, SageMakerVariantInvocationsPerInstance, ECSServiceAverageCPUUtilization, ECSServiceAverageMemoryUtilization, AppStreamAverageCapacityUtilization, ComprehendInferenceUtilization, LambdaProvisionedConcurrencyUtilization, CassandraReadCapacityUtilization, CassandraWriteCapacityUtilization, KafkaBrokerStorageUtilization
    resource_label: "ResourceLabel",
  },
  customized_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",
  },
  scale_out_cooldown: 1,
  scale_in_cooldown: 1,
  disable_scale_in: false,
}

Represents a target tracking scaling policy configuration to use with Application Auto Scaling.

Returned by:

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#customized_metric_specification ⇒ Types::CustomizedMetricSpecification

A customized metric. You can specify either a predefined metric or a customized metric.

Returns:

#disable_scale_in ⇒ Boolean

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 won\'t remove capacity from the scalable target. Otherwise, scale in is enabled and the target tracking scaling policy can remove capacity from the scalable target. The default value is false.

Returns:

  • (Boolean) —

    Indicates whether scale in by the target tracking scaling policy is disabled.

#predefined_metric_specification ⇒ Types::PredefinedMetricSpecification

A predefined metric. You can specify either a predefined metric or a customized metric.

Returns:

#scale_in_cooldown ⇒ Integer

The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start.

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, Application Auto Scaling scales out the target immediately. In this case, the scale-in cooldown period stops and doesn\'t complete.

Application Auto Scaling provides a default value of 300 for the following scalable targets:

  • ECS services

  • Spot Fleet requests

  • EMR clusters

  • AppStream 2.0 fleets

  • Aurora DB clusters

  • Amazon SageMaker endpoint variants

  • Custom resources

For all other scalable targets, the default value is 0:

  • DynamoDB tables

  • DynamoDB global secondary indexes

  • Amazon Comprehend document classification and entity recognizer endpoints

  • Lambda provisioned concurrency

  • Amazon Keyspaces tables

  • Amazon MSK cluster storage

Returns:

  • (Integer) —

    The amount of time, in seconds, after a scale-in activity completes before another scale-in activity can start.

#scale_out_cooldown ⇒ Integer

The amount of time, in seconds, to wait for a previous scale-out activity to take effect.

With the scale-out cooldown period, the intention is to continuously (but not excessively) scale out. After Application 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. While the cooldown period is in effect, the capacity added by the initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity.

Application Auto Scaling provides a default value of 300 for the following scalable targets:

  • ECS services

  • Spot Fleet requests

  • EMR clusters

  • AppStream 2.0 fleets

  • Aurora DB clusters

  • Amazon SageMaker endpoint variants

  • Custom resources

For all other scalable targets, the default value is 0:

  • DynamoDB tables

  • DynamoDB global secondary indexes

  • Amazon Comprehend document classification and entity recognizer endpoints

  • Lambda provisioned concurrency

  • Amazon Keyspaces tables

  • Amazon MSK cluster storage

Returns:

  • (Integer) —

    The amount of time, in seconds, to wait for a previous scale-out activity to take effect.

#target_value ⇒ Float

The target value for the metric. The range is 8.515920e-109 to 1.174271e+108 (Base 10) or 2e-360 to 2e360 (Base 2).

Returns:

  • (Float) —

    The target value for the metric.