Creates or updates a policy for an Auto Scaling group. To update an existing policy, use the existing policy name and set the parameters to change. Any existing parameter not changed in an update to an existing policy is not changed in this update request.
autoscaling_put_scaling_policy(AutoScalingGroupName, PolicyName,
PolicyType, AdjustmentType, MinAdjustmentStep, MinAdjustmentMagnitude,
ScalingAdjustment, Cooldown, MetricAggregationType, StepAdjustments,
EstimatedInstanceWarmup, TargetTrackingConfiguration)
[required] The name of the Auto Scaling group.
[required] The name of the policy.
The policy type. The valid values are SimpleScaling
, StepScaling
,
and TargetTrackingScaling
. If the policy type is null, the value is
treated as SimpleScaling
.
The adjustment type. The valid values are ChangeInCapacity
,
ExactCapacity
, and PercentChangeInCapacity
.
This parameter is supported if the policy type is SimpleScaling
or
StepScaling
.
For more information, see Dynamic Scaling in the Amazon EC2 Auto Scaling User Guide.
Available for backward compatibility. Use MinAdjustmentMagnitude
instead.
The minimum number of instances to scale. If the value of
AdjustmentType
is PercentChangeInCapacity
, the scaling policy
changes the DesiredCapacity
of the Auto Scaling group by at least this
many instances. Otherwise, the error is ValidationError
.
This parameter is supported if the policy type is SimpleScaling
or
StepScaling
.
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.
Conditional: This parameter is required if the policy type is
SimpleScaling
and not supported otherwise.
The amount of time, in seconds, after a scaling activity completes and before the next scaling activity can start. If this parameter is not specified, the default cooldown period for the group applies.
This parameter is supported if the policy type is SimpleScaling
.
For more information, see Scaling Cooldowns in the Amazon EC2 Auto Scaling User Guide.
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
.
This parameter is supported if the policy type is StepScaling
.
A set of adjustments that enable you to scale based on the size of the alarm breach.
Conditional: This parameter is required if the policy type is
StepScaling
and not supported otherwise.
The estimated time, in seconds, until a newly launched instance can contribute to the CloudWatch metrics. The default is to use the value specified for the default cooldown period for the group.
This parameter is supported if the policy type is StepScaling
or
TargetTrackingScaling
.
A target tracking scaling policy. Includes support for predefined or customized metrics.
Conditional: This parameter is required if the policy type is
TargetTrackingScaling
and not supported otherwise.
svc$put_scaling_policy( AutoScalingGroupName = "string", PolicyName = "string", PolicyType = "string", AdjustmentType = "string", MinAdjustmentStep = 123, MinAdjustmentMagnitude = 123, ScalingAdjustment = 123, Cooldown = 123, MetricAggregationType = "string", StepAdjustments = list( list( MetricIntervalLowerBound = 123.0, MetricIntervalUpperBound = 123.0, ScalingAdjustment = 123 ) ), EstimatedInstanceWarmup = 123, TargetTrackingConfiguration = list( PredefinedMetricSpecification = list( PredefinedMetricType = "ASGAverageCPUUtilization"|"ASGAverageNetworkIn"|"ASGAverageNetworkOut"|"ALBRequestCountPerTarget", ResourceLabel = "string" ), CustomizedMetricSpecification = list( MetricName = "string", Namespace = "string", Dimensions = list( list( Name = "string", Value = "string" ) ), Statistic = "Average"|"Minimum"|"Maximum"|"SampleCount"|"Sum", Unit = "string" ), TargetValue = 123.0, DisableScaleIn = TRUE|FALSE ) )
# NOT RUN {
# This example adds the specified policy to the specified Auto Scaling
# group.
# }
# NOT RUN {
svc$put_scaling_policy(
AdjustmentType = "ChangeInCapacity",
AutoScalingGroupName = "my-auto-scaling-group",
PolicyName = "ScaleIn",
ScalingAdjustment = -1L
)
# }
# NOT RUN {
# }
Run the code above in your browser using DataLab