AutoScaling / Client / execute_policy
execute_policy#
- AutoScaling.Client.execute_policy(**kwargs)#
Executes the specified policy. This can be useful for testing the design of your scaling policy.
See also: AWS API Documentation
Request Syntax
response = client.execute_policy( AutoScalingGroupName='string', PolicyName='string', HonorCooldown=True|False, MetricValue=123.0, BreachThreshold=123.0 )
- Parameters:
AutoScalingGroupName (string) – The name of the Auto Scaling group.
PolicyName (string) –
[REQUIRED]
The name or ARN of the policy.
HonorCooldown (boolean) –
Indicates whether Amazon EC2 Auto Scaling waits for the cooldown period to complete before executing the policy.
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.MetricValue (float) –
The metric value to compare to
BreachThreshold
. This enables you to execute a policy of typeStepScaling
and determine which step adjustment to use. For example, if the breach threshold is 50 and you want to use a step adjustment with a lower bound of 0 and an upper bound of 10, you can set the metric value to 59.If you specify a metric value that doesn’t correspond to a step adjustment for the policy, the call returns an error.
Required if the policy type is
StepScaling
and not supported otherwise.BreachThreshold (float) –
The breach threshold for the alarm.
Required if the policy type is
StepScaling
and not supported otherwise.
- Returns:
None
Exceptions
Examples
This example executes the specified policy.
response = client.execute_policy( AutoScalingGroupName='my-auto-scaling-group', BreachThreshold=50.0, MetricValue=59.0, PolicyName='my-step-scale-out-policy', ) print(response)
Expected Output:
{ 'ResponseMetadata': { '...': '...', }, }