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 type- StepScalingand 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 - StepScalingand not supported otherwise.
- BreachThreshold (float) – - The breach threshold for the alarm. - Required if the policy type is - StepScalingand 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': { '...': '...', }, }