Auto Scaling:DescribeScalingRules

MetricName

String

CpuUtilization

The predefined metric of the scaling rule. This parameter is applicable if ScalingRuleType is set to TargetTrackingScalingRule or PredictiveScalingRule.

Valid values if ScalingRuleType is set to TargetTrackingScalingRule:

• CpuUtilization: the average CPU utilization

• ClassicInternetRx: the average inbound public traffic over the classic network

• ClassicInternetTx: the average outbound public traffic over the classic network

• VpcInternetRx: the average inbound public traffic over a virtual private cloud (VPC)

• VpcInternetTx: the average outbound public traffic over a VPC

• IntranetRx: the average inbound traffic over the internal network

• IntranetTx: the average outbound traffic over the internal network

  Valid values if ScalingRuleType is set to PredictiveScalingRule:

• CpuUtilization: the average CPU utilization

• IntranetRx: the average inbound traffic over the internal network

• IntranetTx: the average outbound traffic over the internal network

AdjustmentType

String

QuantityChangeInCapacity

The adjustment method of the scaling rule. Valid values:

• QuantityChangeInCapacity: adds the specified number of ECS instances to or removes the specified number of ECS instances from the scaling group.

• PercentChangeInCapacity: adds the specified percentage of ECS instances to or removes the specified percentage of ECS instances from the scaling group.

• TotalCapacity: adjusts the number of ECS instances in the scaling group to a specified number.

InitialMaxSize

Integer

100

The maximum number of ECS instances that can be added to the scaling group. If you specify InitialMaxSize, you must also specify PredictiveValueBehavior.

EstimatedInstanceWarmup

Integer

300

The warm-up period during which a series of preparation measures are taken on new instances. Auto Scaling does not monitor the metric data of instances that are being warmed up.

ScaleOutEvaluationCount

Integer

3

The number of consecutive times that the event-triggered task created for scale-out purposes must meet the threshold conditions before an alert is triggered. After a target tracking scaling rule is created, an event-triggered task is automatically created and associated with the target tracking scaling rule.

PredictiveScalingMode

String

PredictAndScale

The mode of the predictive scaling rule. Valid values:

• PredictAndScale: produces predictions and creates prediction tasks.

• PredictOnly: provides predictions but does not create prediction tasks.

MinAdjustmentMagnitude

Integer

1

The minimum number of instances that must be scaled. This parameter takes effect if you set ScalingRuleType to SimpleScalingRule or StepScalingRule, and AdjustmentType to PercentChangeInCapacity.

ScalingRuleAri

String

ari:acs:ess:cn-hangzhou:140692647406****:scalingrule/asr-bp1dvirgwkoowxk7****

The ARN of scaling rule N.

PredictiveTaskBufferTime

Integer

30

The amount of buffer time before the prediction task is executed. By default, all prediction tasks that are automatically created by a predictive scaling rule are executed on the hour. You can set a buffer time to execute prediction tasks and prepare resources in advance. Valid values: 0 to 60. Unit: minutes.

MinSize

Integer

1

The minimum number of ECS instances that must be contained in the scaling group.

ScalingGroupId

String

asg-bp1ffogfdauy0jw0****

The ID of the scaling group.

PredictiveValueBehavior

String

MaxOverridePredictiveValue

The action on the predicted maximum value. Valid values:

• MaxOverridePredictiveValue: uses the initial maximum capacity as the maximum value for prediction tasks if the predicted value is greater than the initial maximum capacity.

• PredictiveValueOverrideMax: uses the predicted value as the maximum value for prediction tasks if the predicted value is greater than the initial maximum capacity.

• PredictiveValueOverrideMaxWithBuffer: increases the predicted value by a ratio that is specified by PredictiveValueBuffer, and uses the increased value as the maximum value for prediction tasks if the predicted value increased by the ratio is greater than the initial maximum capacity.

TargetValue

Float

0.125

The target value of the metric. If you set TargetValue to TargetTrackingScalingRule or PredictiveScalingRule, Auto Scaling adds instances to or removes instances from the scaling group to maintain the target metric value.

Cooldown

Integer

20

The cooldown period of the scaling rule. This parameter is available only if you set ScalingRuleType to SimpleScalingRule. Valid values: 0 to 86400. Unit: seconds.

MaxSize

Integer

2

The maximum number of ECS instances that can be contained in the scaling group.

PredictiveValueBuffer

Integer

50

The ratio based on which the predicted value is increased if you set PredictiveValueBehavior to PredictiveValueOverrideMaxWithBuffer. If the predicted value that is increased by this ratio is greater than the initial maximum capacity, the increased value is used as the maximum value for prediction tasks. Valid values: 0 to 100.

ScalingRuleType

String

SimpleScalingRule

The type of the scaling rule. Valid values:

• SimpleScalingRule: a simple scaling rule. Once a simple scaling rule is executed, Auto Scaling adjusts the number of ECS instances or elastic container instances in the scaling group based on the values of AdjustmentType and AdjustmentValue.

• TargetTrackingScalingRule: a target tracking scaling rule. Once a target tracking scaling rule is executed, Auto Scaling dynamically calculates the number of ECS instances or elastic container instances to scale based on the predefined metric (MetricName) and attempts to maintain the metric value close to the specified target value (TargetValue).

• StepScalingRule: a step scaling rule. Once a step scaling rule is executed, Auto Scaling scales instances step by step based on the predefined thresholds and metric values.

• PredictiveScalingRule: a predictive scaling rule. Once a predictive scaling rule is executed, Auto Scaling analyzes the historical monitoring data based on the machine learning technology and predicts the trends of metric data. Auto Scaling also creates scheduled tasks to enable dynamic adjustment of the boundary values for the scaling group.

AdjustmentValue

Integer

1

The number of instances that must be scaled based on the scaling rule.

ScaleInEvaluationCount

Integer

15

The number of consecutive times that the event-triggered task for scale-in purposes must meet the threshold conditions before an alert is triggered. After a target tracking scaling rule is created, an event-triggered task is automatically created and associated with the target tracking scaling rule.

DisableScaleIn

Boolean

true

Indicates whether scale-in is disabled. This parameter takes effect only if you set ScalingRuleType to TargetTrackingScalingRule. Valid values:

• true

• false

ScalingRuleName

String

scalingrule****

The name of the scaling rule.

ScalingRuleId

String

asr-bp1dvirgwkoowxk7****

The ID of the scaling rule.