aws_appautoscaling_policy

Provides an Application AutoScaling Policy resource.

Example Usage

resource "aws_appautoscaling_policy" "down" {
  name = "scale-down"
  service_namespace = "ecs"
  resource_id = "service/ecsclustername/servicename"
  scalable_dimension = "ecs:service:DesiredCount"

  adjustment_type = "ChangeInCapacity"
  cooldown = 60
  metric_aggregation_type = "Maximum"

  step_adjustment {
    metric_interval_lower_bound = 0
    scaling_adjustment = -1
  }
  depends_on = ["aws_appautoscaling_target.target"]
}

Argument Reference

The following arguments are supported:

• name - (Required) The name of the policy.
• policy_type - (Optional) Defaults to “StepScaling” because it is the only option available.
• resource_id - (Required) The Resource ID on which you want the Application AutoScaling policy to apply to. For Amazon ECS services, this value is the resource type, followed by the cluster name and service name, such as service/default/sample-webapp.
• scalable_dimension - (Optional) The scalable dimension of the scalable target that this scaling policy applies to. The scalable dimension contains the service names- pace, resource type, and scaling property, such as ecs:service:DesiredCount for the desired task count of an Amazon ECS service. Defaults to ecs:service:DesiredCount since that is the only allowed value.
• service_namespace - (Optional) The AWS service namespace of the scalable target that this scaling policy applies to. Defaults to ecs, because that is currently the only supported option.
• adjustment_type - (Required) Specifies whether the adjustment is an absolute number or a percentage of the current capacity. Valid values are ChangeInCapacity, ExactCapacity, and PercentChangeInCapacity.
• cooldown - (Required) The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start.
• metric_aggregation_type - (Required) The aggregation type for the policy’s metrics. Valid values are “Minimum”, “Maximum”, and “Average”. Without a value, AWS will treat the aggregation type as “Average”.
• step_adjustments - (Optional) A set of adjustments that manage scaling. These have the following structure:

  step_adjustment {
  scaling_adjustment = -1
  metric_interval_lower_bound = 1.0
  metric_interval_upper_bound = 2.0
  }
  step_adjustment {
  scaling_adjustment = 1
  metric_interval_lower_bound = 2.0
  metric_interval_upper_bound = 3.0
  }
  

• scaling_adjustment - (Required) The number of members by which to scale, when the adjustment bounds are breached. A positive value scales up. A negative value scales down.
• metric_interval_lower_bound - (Optional) The lower bound for the difference between the alarm threshold and the CloudWatch metric. Without a value, AWS will treat this bound as infinity.
• metric_interval_upper_bound - (Optional) The upper bound for the difference between the alarm threshold and the CloudWatch metric. Without a value, AWS will treat this bound as infinity. The upper bound must be greater than the lower bound.

Attribute Reference

• arn - The ARN assigned by AWS to the scaling policy.
• name - The scaling policy’s name.
• adjustment_type - The scaling policy’s adjustment type.
• policy_type - The scaling policy’s type.

See the source of this document at Terraform.io