[][src]Struct rusoto_application_autoscaling::StepScalingPolicyConfiguration

pub struct StepScalingPolicyConfiguration {
    pub adjustment_type: Option<String>,
    pub cooldown: Option<i64>,
    pub metric_aggregation_type: Option<String>,
    pub min_adjustment_magnitude: Option<i64>,
    pub step_adjustments: Option<Vec<StepAdjustment>>,
}

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

Fields

adjustment_type: Option<String>

Specifies whether the ScalingAdjustment value in a StepAdjustment is an absolute number or a percentage of the current capacity.

AdjustmentType is required if you are adding a new step scaling policy configuration.

cooldown: Option<i64>

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

With scale-out policies, the intention is to continuously (but not excessively) scale out. After Application Auto Scaling successfully scales out using a step scaling policy, it starts to calculate the cooldown time. While the cooldown period is in effect, capacity added by the initiating scale-out activity is calculated as part of the desired capacity for the next scale-out activity. For example, when an alarm triggers a step scaling policy to increase the capacity by 2, the scaling activity completes successfully, and a cooldown period starts. If the alarm triggers again during the cooldown period but at a more aggressive step adjustment of 3, the previous increase of 2 is considered part of the current capacity. Therefore, only 1 is added to the capacity.

With scale-in policies, 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 cooldown period after a scale-in activity, Application Auto Scaling scales out the target immediately. In this case, the cooldown period for the scale-in activity 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 endpoints

  • Lambda provisioned concurrency

  • Amazon Keyspaces tables

metric_aggregation_type: Option<String>

The aggregation type for the CloudWatch metrics. Valid values are Minimum, Maximum, and Average. If the aggregation type is null, the value is treated as Average.

min_adjustment_magnitude: Option<i64>

The minimum value to scale by when scaling by percentages. For example, suppose that you create a step scaling policy to scale out an Amazon ECS service by 25 percent and you specify a MinAdjustmentMagnitude of 2. If the service has 4 tasks and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude of 2, Application Auto Scaling scales out the service by 2 tasks.

Valid only if the adjustment type is PercentChangeInCapacity.

step_adjustments: Option<Vec<StepAdjustment>>

A set of adjustments that enable you to scale based on the size of the alarm breach.

At least one step adjustment is required if you are adding a new step scaling policy configuration.

Trait Implementations

impl Clone for StepScalingPolicyConfiguration[src]

impl Debug for StepScalingPolicyConfiguration[src]

impl Default for StepScalingPolicyConfiguration[src]

impl<'de> Deserialize<'de> for StepScalingPolicyConfiguration[src]

impl PartialEq<StepScalingPolicyConfiguration> for StepScalingPolicyConfiguration[src]

impl Serialize for StepScalingPolicyConfiguration[src]

impl StructuralPartialEq for StepScalingPolicyConfiguration[src]

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