ModifyScalingRule
Modifies one or more attributes of a scaling rule. If an existing scaling rule no longer meets your requirements, you can call this operation to modify its attributes instead of creating a new one. This prevents unnecessary repetition and saves time and resources.
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RAM authorization
|
Action |
Access level |
Resource type |
Condition key |
Dependent action |
|
ess:ModifyScalingRule |
update |
*ScalingGroup
|
None | None |
Request parameters
|
Parameter |
Type |
Required |
Description |
Example |
| ScalingRuleId |
string |
Yes |
The ID of the scaling rule. |
asr-bp1dvirgwkoowxk7**** |
| ScalingRuleName |
string |
No |
The name of the scaling rule. The name must be 2 to 64 characters in length and start with a digit, a letter, or a Chinese character. It can contain digits, underscores (_), hyphens (-), and periods (.). Note
The scaling rule name must be unique within a scaling group in a region for an Alibaba Cloud account. |
scalingrule**** |
| Cooldown |
integer |
No |
The cooldown time of the scaling rule. This parameter applies only to simple scaling rules. Valid values: 0 to 86400. Unit: seconds. |
60 |
| MinAdjustmentMagnitude |
integer |
No |
The minimum number of instances to be adjusted. This parameter takes effect only when the scaling rule type is |
1 |
| AdjustmentType |
string |
No |
The adjustment method of the scaling rule. This parameter is required when the scaling rule is a simple scaling rule or a step scaling rule. Valid values:
|
QuantityChangeInCapacity |
| AdjustmentValue |
integer |
No |
The adjustment value of the scaling rule. This parameter is required when the scaling rule is a simple scaling rule or a step scaling rule. The number of ECS instances adjusted in a single operation cannot exceed 1,000. Valid values vary based on the adjustment method:
|
100 |
| EstimatedInstanceWarmup |
integer |
No |
The warmup time of instances. This parameter applies to target tracking scaling rules and step scaling rules. ECS instances in the warmup state are added to the scaling group as usual, but they do not report monitoring data to CloudMonitor during the warmup period. Note
When the system dynamically calculates the number of ECS instances to be scaled, instances in the warmup state are not counted as existing instances. Valid values: 0 to 86400. Unit: seconds. |
60 |
| MetricName |
string |
No |
The predefined metric. This parameter is required when the scaling rule is a target tracking scaling rule or a predictive scaling rule. Valid values for target tracking scaling rules:
Valid values for predictive scaling rules:
For more information, see System monitoring event-triggered tasks. |
CpuUtilization |
| TargetValue |
number |
No |
The target value. This parameter applies to target tracking scaling rules and predictive scaling rules. The value can have up to three decimal places and must be greater than 0. |
0.125 |
| DisableScaleIn |
boolean |
No |
Specifies whether to disable scale-in. This parameter applies only to target tracking scaling rules. |
true |
| ScaleInEvaluationCount |
integer |
No |
After a target tracking scaling rule is created, an event-triggered task is automatically created. This parameter specifies the number of consecutive times that the threshold condition must be met to trigger an alert for the corresponding scale-in event-triggered task. |
15 |
| ScaleOutEvaluationCount |
integer |
No |
After a target tracking scaling rule is created, an event-triggered task is automatically created. This parameter specifies the number of consecutive times that the threshold condition must be met to trigger an alert for the corresponding scale-out event-triggered task. |
3 |
| PredictiveScalingMode |
string |
No |
The mode of the predictive scaling rule. Valid values:
|
PredictAndScale |
| PredictiveValueBehavior |
string |
No |
The method to handle the maximum value for the predictive scaling rule. Valid values:
|
MaxOverridePredictiveValue |
| PredictiveValueBuffer |
integer |
No |
The buffer ratio added to the predicted value. This parameter takes effect only when |
50 |
| PredictiveTaskBufferTime |
integer |
No |
The buffer time before the predictive task is executed. Predictive tasks automatically created by predictive scaling rules are executed on the hour by default. You can set a buffer time to execute the predictive task in advance and prepare resources. Unit: minutes. Valid values: 0 to 60. |
30 |
| InitialMaxSize |
integer |
No |
The maximum number of instances in the scaling group. This parameter is used together with PredictiveValueBehavior. |
100 |
| StepAdjustment |
array<object> |
No |
The set of step adjustments. |
|
|
object |
No |
The set of step adjustments. |
||
| MetricIntervalUpperBound |
number |
No |
The upper limit of the step adjustment. This parameter applies only to step scaling rules. Valid values: -9.999999E18 to 9.999999E18. |
5.0 |
| ScalingAdjustment |
integer |
No |
The number of instances to be adjusted for the step adjustment. This parameter applies only to step scaling rules. |
1 |
| MetricIntervalLowerBound |
number |
No |
The lower limit of the step adjustment. This parameter applies only to step scaling rules. Valid values: -9.999999E18 to 9.999999E18. |
1.0 |
| AlarmDimension |
array<object> |
No |
The dimension information associated with the metric. This parameter applies to target tracking scaling rules and is configured when the metric requires additional dimension information. For example, the |
|
|
object |
No |
The dimension information associated with the metric. This parameter applies to target tracking scaling rules and is configured when the metric requires additional dimension information. For example, the |
||
| DimensionKey |
string |
No |
The key of the dimension information associated with the metric. |
rulePool |
| DimensionValue |
string |
No |
The value of the dimension information associated with the metric. |
sgp-l1cbirz451yxu2**** |
| MetricType |
string |
No |
The metric type. Valid values:
|
system |
| HybridMonitorNamespace |
string |
No |
The ID of the Hybrid Cloud Monitoring monitoring metrics repository. For more information about how to manage monitoring metrics repositories, see Manage monitoring metrics repositories. |
aliyun-test |
| HybridMetrics |
array<object> |
No |
The Hybrid Cloud Monitoring monitoring metrics settings. For more information about how to configure the settings, see Customize target tracking scaling rules by using formula operations. |
|
|
array<object> |
No |
|||
| Id |
string |
No |
The reference ID of the metric in the metric operation expression. |
a |
| Expression |
string |
No |
The metric operation expression for multiple Hybrid Cloud Monitoring metrics. The calculation result of the expression is used to trigger scaling activities. The operation expression must comply with the Reverse Polish Notation (RPN) specification, and only the |
(a+b)/2 |
| MetricName |
string |
No |
The name of the metric in the Hybrid Cloud Monitoring monitoring metrics repository. |
AliyunSmq_NumberOfMessagesVisible |
| Statistic |
string |
No |
The statistical method of the metric. Valid values:
|
Average |
| Dimensions |
array<object> |
No |
The dimensions of the metric. This parameter is used to specify the resources monitored by the metric. |
|
|
object |
No |
|||
| DimensionKey |
string |
No |
The key of the metric dimension. |
queue |
| DimensionValue |
string |
No |
The value of the metric dimension. |
testQueue |
| AlarmOptions |
object |
No |
The alert attributes. |
|
| Period |
integer |
No |
The period for collecting metric data in the target tracking scaling rule. Unit: seconds. Valid values:
Note
Default value: 60. |
60 |
Response elements
|
Element |
Type |
Description |
Example |
|
object |
|||
| RequestId |
string |
The request ID. |
473469C7-AA6F-4DC5-B3DB-A3DC0DE3**** |
Examples
Success response
JSON format
{
"RequestId": "473469C7-AA6F-4DC5-B3DB-A3DC0DE3****"
}
Error codes
See Error Codes for a complete list.
Release notes
See Release Notes for a complete list.