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ManagedScaling

Source code in docs_src/capo_ecs/types/managed_scaling.py
class ManagedScaling(TypedDict, closed=True):
    status: NotRequired["capo_ecs.types.managed_scaling_status.ManagedScalingStatus"]
    """<p>Determines whether to use managed scaling for the capacity provider.</p>"""
    target_capacity: NotRequired[
        "capo_ecs.types.managed_scaling_target_capacity.ManagedScalingTargetCapacity"
    ]
    """<p>The target capacity utilization as a percentage for the capacity provider. The specified value must be greater than <code>0</code> and less than or equal to <code>100</code>. For example, if you want the capacity provider to maintain 10% spare capacity, then that means the utilization is 90%, so use a <code>targetCapacity</code> of <code>90</code>. The default value of <code>100</code> percent results in the Amazon EC2 instances in your Auto Scaling group being completely used.</p>"""
    minimum_scaling_step_size: NotRequired[
        "capo_ecs.types.managed_scaling_step_size.ManagedScalingStepSize"
    ]
    """<p>The minimum number of Amazon EC2 instances that Amazon ECS will scale out at one time. The scale in process is not affected by this parameter If this parameter is omitted, the default value of <code>1</code> is used.</p> <p>When additional capacity is required, Amazon ECS will scale up the minimum scaling step size even if the actual demand is less than the minimum scaling step size.</p>"""
    maximum_scaling_step_size: NotRequired[
        "capo_ecs.types.managed_scaling_step_size.ManagedScalingStepSize"
    ]
    """<p>The maximum number of Amazon EC2 instances that Amazon ECS will scale out at one time. If this parameter is omitted, the default value of <code>10000</code> is used.</p>"""
    instance_warmup_period: NotRequired[
        "capo_ecs.types.managed_scaling_instance_warmup_period.ManagedScalingInstanceWarmupPeriod"
    ]
    """<p>The period of time, in seconds, after a newly launched Amazon EC2 instance can contribute to CloudWatch metrics for Auto Scaling group. If this parameter is omitted, the default value of <code>300</code> seconds is used.</p>"""

instance_warmup_period instance-attribute

instance_warmup_period: NotRequired[ManagedScalingInstanceWarmupPeriod]

The period of time, in seconds, after a newly launched Amazon EC2 instance can contribute to CloudWatch metrics for Auto Scaling group. If this parameter is omitted, the default value of 300 seconds is used.

maximum_scaling_step_size instance-attribute

maximum_scaling_step_size: NotRequired[ManagedScalingStepSize]

The maximum number of Amazon EC2 instances that Amazon ECS will scale out at one time. If this parameter is omitted, the default value of 10000 is used.

minimum_scaling_step_size instance-attribute

minimum_scaling_step_size: NotRequired[ManagedScalingStepSize]

The minimum number of Amazon EC2 instances that Amazon ECS will scale out at one time. The scale in process is not affected by this parameter If this parameter is omitted, the default value of 1 is used.

When additional capacity is required, Amazon ECS will scale up the minimum scaling step size even if the actual demand is less than the minimum scaling step size.

status instance-attribute

status: NotRequired[ManagedScalingStatus]

Determines whether to use managed scaling for the capacity provider.

target_capacity instance-attribute

target_capacity: NotRequired[ManagedScalingTargetCapacity]

The target capacity utilization as a percentage for the capacity provider. The specified value must be greater than 0 and less than or equal to 100. For example, if you want the capacity provider to maintain 10% spare capacity, then that means the utilization is 90%, so use a targetCapacity of 90. The default value of 100 percent results in the Amazon EC2 instances in your Auto Scaling group being completely used.