public static interface TargetTrackingScalingPolicyConfiguration.Builder extends SdkPojo, CopyableBuilder<TargetTrackingScalingPolicyConfiguration.Builder,TargetTrackingScalingPolicyConfiguration>
equalsBySdkFields, sdkFieldscopyapplyMutation, buildTargetTrackingScalingPolicyConfiguration.Builder targetValue(Double targetValue)
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. The value must be a valid number based on the choice of metric. For example, if the metric is CPU utilization, then the target value is a percent value that represents how much of the CPU can be used before scaling out.
targetValue - 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.
The value must be a valid number based on the choice of metric. For example, if the metric is CPU
utilization, then the target value is a percent value that represents how much of the CPU can be used
before scaling out.TargetTrackingScalingPolicyConfiguration.Builder predefinedMetricSpecification(PredefinedMetricSpecification predefinedMetricSpecification)
A predefined metric. You can specify either a predefined metric or a customized metric.
predefinedMetricSpecification - A predefined metric. You can specify either a predefined metric or a customized metric.default TargetTrackingScalingPolicyConfiguration.Builder predefinedMetricSpecification(Consumer<PredefinedMetricSpecification.Builder> predefinedMetricSpecification)
A predefined metric. You can specify either a predefined metric or a customized metric.
This is a convenience that creates an instance of thePredefinedMetricSpecification.Builder avoiding
the need to create one manually via PredefinedMetricSpecification.builder().
When the Consumer completes, SdkBuilder.build() is called
immediately and its result is passed to predefinedMetricSpecification(PredefinedMetricSpecification)
.predefinedMetricSpecification - a consumer that will call methods on PredefinedMetricSpecification.BuilderpredefinedMetricSpecification(PredefinedMetricSpecification)TargetTrackingScalingPolicyConfiguration.Builder customizedMetricSpecification(CustomizedMetricSpecification customizedMetricSpecification)
A customized metric. You can specify either a predefined metric or a customized metric.
customizedMetricSpecification - A customized metric. You can specify either a predefined metric or a customized metric.default TargetTrackingScalingPolicyConfiguration.Builder customizedMetricSpecification(Consumer<CustomizedMetricSpecification.Builder> customizedMetricSpecification)
A customized metric. You can specify either a predefined metric or a customized metric.
This is a convenience that creates an instance of theCustomizedMetricSpecification.Builder avoiding
the need to create one manually via CustomizedMetricSpecification.builder().
When the Consumer completes, SdkBuilder.build() is called
immediately and its result is passed to customizedMetricSpecification(CustomizedMetricSpecification)
.customizedMetricSpecification - a consumer that will call methods on CustomizedMetricSpecification.BuildercustomizedMetricSpecification(CustomizedMetricSpecification)TargetTrackingScalingPolicyConfiguration.Builder scaleOutCooldown(Integer scaleOutCooldown)
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 broker storage
scaleOutCooldown - 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 broker storage
TargetTrackingScalingPolicyConfiguration.Builder scaleInCooldown(Integer scaleInCooldown)
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 broker storage
scaleInCooldown - 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 broker storage
TargetTrackingScalingPolicyConfiguration.Builder disableScaleIn(Boolean disableScaleIn)
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.
disableScaleIn - 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.Copyright © 2021. All rights reserved.