def __init__(__self__, *, max_scaled_in_replicas: Optional[pulumi.Input['FixedOrPercentArgs']]=None, time_window_sec: Optional[pulumi.Input[int]]=None):
    "\n        Configuration that allows for slower scale in so that even if Autoscaler recommends an abrupt scale in of a MIG, it will be throttled as specified by the parameters below.\n        :param pulumi.Input['FixedOrPercentArgs'] max_scaled_in_replicas: Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations. Possibly all these VMs can be deleted at once so user service needs to be prepared to lose that many VMs in one step.\n        :param pulumi.Input[int] time_window_sec: How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.\n        "
    if (max_scaled_in_replicas is not None):
        pulumi.set(__self__, 'max_scaled_in_replicas', max_scaled_in_replicas)
    if (time_window_sec is not None):
        pulumi.set(__self__, 'time_window_sec', time_window_sec)
Configuration that allows for slower scale in so that even if Autoscaler recommends an abrupt scale in of a MIG, it will be throttled as specified by the parameters below.
:param pulumi.Input['FixedOrPercentArgs'] max_scaled_in_replicas: Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations. Possibly all these VMs can be deleted at once so user service needs to be prepared to lose that many VMs in one step.
:param pulumi.Input[int] time_window_sec: How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.
def __init__(__self__, *, max_scaled_in_replicas: Optional[pulumi.Input['FixedOrPercentArgs']]=None, time_window_sec: Optional[pulumi.Input[int]]=None):
    "\n        Configuration that allows for slower scale in so that even if Autoscaler recommends an abrupt scale in of a MIG, it will be throttled as specified by the parameters below.\n        :param pulumi.Input['FixedOrPercentArgs'] max_scaled_in_replicas: Maximum allowed number (or %) of VMs that can be deducted from the peak recommendation during the window autoscaler looks at when computing recommendations. Possibly all these VMs can be deleted at once so user service needs to be prepared to lose that many VMs in one step.\n        :param pulumi.Input[int] time_window_sec: How far back autoscaling looks when computing recommendations to include directives regarding slower scale in, as described above.\n        "
    if (max_scaled_in_replicas is not None):
        pulumi.set(__self__, 'max_scaled_in_replicas', max_scaled_in_replicas)
    if (time_window_sec is not None):
        pulumi.set(__self__, 'time_window_sec', time_window_sec)