interface CfnScalingPolicyProps
Language | Type name |
---|---|
![]() | Amazon.CDK.AWS.AutoScaling.CfnScalingPolicyProps |
![]() | github.com/aws/aws-cdk-go/awscdk/v2/awsautoscaling#CfnScalingPolicyProps |
![]() | software.amazon.awscdk.services.autoscaling.CfnScalingPolicyProps |
![]() | aws_cdk.aws_autoscaling.CfnScalingPolicyProps |
![]() | aws-cdk-lib » aws_autoscaling » CfnScalingPolicyProps |
Properties for defining a CfnScalingPolicy
.
Example
// The code below shows an example of how to instantiate this type.
// The values are placeholders you should change.
import { aws_autoscaling as autoscaling } from 'aws-cdk-lib';
const cfnScalingPolicyProps: autoscaling.CfnScalingPolicyProps = {
autoScalingGroupName: 'autoScalingGroupName',
// the properties below are optional
adjustmentType: 'adjustmentType',
cooldown: 'cooldown',
estimatedInstanceWarmup: 123,
metricAggregationType: 'metricAggregationType',
minAdjustmentMagnitude: 123,
policyType: 'policyType',
predictiveScalingConfiguration: {
metricSpecifications: [{
targetValue: 123,
// the properties below are optional
customizedCapacityMetricSpecification: {
metricDataQueries: [{
id: 'id',
// the properties below are optional
expression: 'expression',
label: 'label',
metricStat: {
metric: {
metricName: 'metricName',
namespace: 'namespace',
// the properties below are optional
dimensions: [{
name: 'name',
value: 'value',
}],
},
stat: 'stat',
// the properties below are optional
unit: 'unit',
},
returnData: false,
}],
},
customizedLoadMetricSpecification: {
metricDataQueries: [{
id: 'id',
// the properties below are optional
expression: 'expression',
label: 'label',
metricStat: {
metric: {
metricName: 'metricName',
namespace: 'namespace',
// the properties below are optional
dimensions: [{
name: 'name',
value: 'value',
}],
},
stat: 'stat',
// the properties below are optional
unit: 'unit',
},
returnData: false,
}],
},
customizedScalingMetricSpecification: {
metricDataQueries: [{
id: 'id',
// the properties below are optional
expression: 'expression',
label: 'label',
metricStat: {
metric: {
metricName: 'metricName',
namespace: 'namespace',
// the properties below are optional
dimensions: [{
name: 'name',
value: 'value',
}],
},
stat: 'stat',
// the properties below are optional
unit: 'unit',
},
returnData: false,
}],
},
predefinedLoadMetricSpecification: {
predefinedMetricType: 'predefinedMetricType',
// the properties below are optional
resourceLabel: 'resourceLabel',
},
predefinedMetricPairSpecification: {
predefinedMetricType: 'predefinedMetricType',
// the properties below are optional
resourceLabel: 'resourceLabel',
},
predefinedScalingMetricSpecification: {
predefinedMetricType: 'predefinedMetricType',
// the properties below are optional
resourceLabel: 'resourceLabel',
},
}],
// the properties below are optional
maxCapacityBreachBehavior: 'maxCapacityBreachBehavior',
maxCapacityBuffer: 123,
mode: 'mode',
schedulingBufferTime: 123,
},
scalingAdjustment: 123,
stepAdjustments: [{
scalingAdjustment: 123,
// the properties below are optional
metricIntervalLowerBound: 123,
metricIntervalUpperBound: 123,
}],
targetTrackingConfiguration: {
targetValue: 123,
// the properties below are optional
customizedMetricSpecification: {
dimensions: [{
name: 'name',
value: 'value',
}],
metricName: 'metricName',
metrics: [{
id: 'id',
// the properties below are optional
expression: 'expression',
label: 'label',
metricStat: {
metric: {
metricName: 'metricName',
namespace: 'namespace',
// the properties below are optional
dimensions: [{
name: 'name',
value: 'value',
}],
},
stat: 'stat',
// the properties below are optional
period: 123,
unit: 'unit',
},
period: 123,
returnData: false,
}],
namespace: 'namespace',
period: 123,
statistic: 'statistic',
unit: 'unit',
},
disableScaleIn: false,
predefinedMetricSpecification: {
predefinedMetricType: 'predefinedMetricType',
// the properties below are optional
resourceLabel: 'resourceLabel',
},
},
};
Properties
Name | Type | Description |
---|---|---|
auto | string | The name of the Auto Scaling group. |
adjustment | string | Specifies how the scaling adjustment is interpreted (for example, an absolute number or a percentage). |
cooldown? | string | A cooldown period, in seconds, that applies to a specific simple scaling policy. |
estimated | number | Not needed if the default instance warmup is defined for the group.. |
metric | string | The aggregation type for the CloudWatch metrics. |
min | number | The minimum value to scale by when the adjustment type is PercentChangeInCapacity . |
policy | string | One of the following policy types:. |
predictive | IResolvable | Predictive | A predictive scaling policy. Provides support for predefined and custom metrics. |
scaling | number | The amount by which to scale, based on the specified adjustment type. |
step | IResolvable | IResolvable | Step [] | A set of adjustments that enable you to scale based on the size of the alarm breach. |
target | IResolvable | Target | A target tracking scaling policy. Provides support for predefined or custom metrics. |
autoScalingGroupName
Type:
string
The name of the Auto Scaling group.
adjustmentType?
Type:
string
(optional)
Specifies how the scaling adjustment is interpreted (for example, an absolute number or a percentage).
The valid values are ChangeInCapacity
, ExactCapacity
, and PercentChangeInCapacity
.
Required if the policy type is StepScaling
or SimpleScaling
. For more information, see Scaling adjustment types in the Amazon EC2 Auto Scaling User Guide .
cooldown?
Type:
string
(optional)
A cooldown period, in seconds, that applies to a specific simple scaling policy.
When a cooldown period is specified here, it overrides the default cooldown.
Valid only if the policy type is SimpleScaling
. For more information, see Scaling cooldowns for Amazon EC2 Auto Scaling in the Amazon EC2 Auto Scaling User Guide .
Default: None
estimatedInstanceWarmup?
Type:
number
(optional)
Not needed if the default instance warmup is defined for the group..
The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. This warm-up period applies to instances launched due to a specific target tracking or step scaling policy. When a warm-up period is specified here, it overrides the default instance warmup.
Valid only if the policy type is TargetTrackingScaling
or StepScaling
.
The default is to use the value for the default instance warmup defined for the group. If default instance warmup is null, then
EstimatedInstanceWarmup
falls back to the value of default cooldown.
metricAggregationType?
Type:
string
(optional)
The aggregation type for the CloudWatch metrics.
The valid values are Minimum
, Maximum
, and Average
. If the aggregation type is null, the value is treated as Average
.
Valid only if the policy type is StepScaling
.
minAdjustmentMagnitude?
Type:
number
(optional)
The minimum value to scale by when the adjustment type is PercentChangeInCapacity
.
For example, suppose that you create a step scaling policy to scale out an Auto Scaling group by 25 percent and you specify a MinAdjustmentMagnitude
of 2. If the group has 4 instances and the scaling policy is performed, 25 percent of 4 is 1. However, because you specified a MinAdjustmentMagnitude
of 2, Amazon EC2 Auto Scaling scales out the group by 2 instances.
Valid only if the policy type is StepScaling
or SimpleScaling
. For more information, see Scaling adjustment types in the Amazon EC2 Auto Scaling User Guide .
Some Auto Scaling groups use instance weights. In this case, set the
MinAdjustmentMagnitude
to a value that is at least as large as your largest instance weight.
policyType?
Type:
string
(optional)
One of the following policy types:.
TargetTrackingScaling
StepScaling
SimpleScaling
(default)PredictiveScaling
predictiveScalingConfiguration?
Type:
IResolvable
|
Predictive
(optional)
A predictive scaling policy. Provides support for predefined and custom metrics.
Predefined metrics include CPU utilization, network in/out, and the Application Load Balancer request count.
Required if the policy type is PredictiveScaling
.
scalingAdjustment?
Type:
number
(optional)
The amount by which to scale, based on the specified adjustment type.
A positive value adds to the current capacity while a negative number removes from the current capacity. For exact capacity, you must specify a non-negative value.
Required if the policy type is SimpleScaling
. (Not used with any other policy type.)
stepAdjustments?
Type:
IResolvable
|
IResolvable
|
Step
[]
(optional)
A set of adjustments that enable you to scale based on the size of the alarm breach.
Required if the policy type is StepScaling
. (Not used with any other policy type.)
targetTrackingConfiguration?
Type:
IResolvable
|
Target
(optional)
A target tracking scaling policy. Provides support for predefined or custom metrics.
The following predefined metrics are available:
ASGAverageCPUUtilization
ASGAverageNetworkIn
ASGAverageNetworkOut
ALBRequestCountPerTarget
If you specify ALBRequestCountPerTarget
for the metric, you must specify the ResourceLabel
property with the PredefinedMetricSpecification
.
Required if the policy type is TargetTrackingScaling
.