resume_processes ¶

def resume_processes(
    self,
    *,
    config_overrides: Optional[AutoScalingClientConfig] = None,
    auto_scaling_group_name: Optional[
        "capo_auto_scaling.types.xml_string_max_len255.XmlStringMaxLen255"
    ] = None,
    scaling_processes: Optional[
        "capo_auto_scaling.types.process_names.ProcessNames"
    ] = None,
) -> None:
    """<p>Resumes the specified suspended auto scaling processes, or all suspended process, for the specified Auto Scaling group.</p> <p>For more information, see <a href="https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-suspend-resume-processes.html">Suspend and resume Amazon EC2 Auto Scaling processes</a> in the <i>Amazon EC2 Auto Scaling User Guide</i>.</p>

    Args:
        auto_scaling_group_name: <p>The name of the Auto Scaling group.</p>
        scaling_processes: <p>One or more of the following processes:</p> <ul> <li> <p> <code>Launch</code> </p> </li> <li> <p> <code>Terminate</code> </p> </li> <li> <p> <code>AddToLoadBalancer</code> </p> </li> <li> <p> <code>AlarmNotification</code> </p> </li> <li> <p> <code>AZRebalance</code> </p> </li> <li> <p> <code>HealthCheck</code> </p> </li> <li> <p> <code>InstanceRefresh</code> </p> </li> <li> <p> <code>ReplaceUnhealthy</code> </p> </li> <li> <p> <code>ScheduledActions</code> </p> </li> </ul> <p>If you omit this property, all processes are specified.</p>

    Raises:
        capo_auto_scaling.errors.resource_contention_fault.ResourceContentionFault: <p>You already have a pending update to an Amazon EC2 Auto Scaling resource (for example, an Auto Scaling group, instance, or load balancer).</p>
        capo_auto_scaling.errors.resource_in_use_fault.ResourceInUseFault: <p>The operation can't be performed because the resource is in use.</p>
        capo_auto_scaling.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To resume Auto Scaling processes
        This example resumes the specified suspended scaling process for the specified Auto Scaling group.

        >>> client.resume_processes(auto_scaling_group_name='my-auto-scaling-group', scaling_processes=['AlarmNotification'])
    """

    def _handler(
        req: "OperationRequest[capo_auto_scaling.types.scaling_process_query.ScalingProcessQuery]",
    ) -> OperationResponse[None]:
        import capo_auto_scaling._operations.auto_scaling_2011_01_01.resume_processes

        output, http_response = (
            capo_auto_scaling._operations.auto_scaling_2011_01_01.resume_processes.resume_processes(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ResumeProcesses")
    )
    input_: capo_auto_scaling.types.scaling_process_query.ScalingProcessQuery = {}
    if auto_scaling_group_name is not None:
        input_["auto_scaling_group_name"] = auto_scaling_group_name
    if scaling_processes is not None:
        input_["scaling_processes"] = scaling_processes

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output