suspend_microvm async ¶

async def suspend_microvm(
    self,
    microvm_identifier: "capo_lambda_microvms.types.microvm_identifier.MicrovmIdentifier",
    *,
    config_overrides: Optional[AsyncLambdaMicrovmsClientConfig] = None,
) -> "capo_lambda_microvms.types.suspend_microvm_response.SuspendMicrovmResponse":
    """<p>Suspends a running MicroVM, preserving its full memory and disk state. The MicroVM transitions through SUSPENDING to SUSPENDED. To restore, call ResumeMicrovm or send traffic to the endpoint if autoResumeEnabled is true.</p>

    Args:
        microvm_identifier: <p>The ID of the MicroVM to suspend.</p>

    Raises:
        capo_lambda_microvms.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_lambda_microvms.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry the request later.</p>
        capo_lambda_microvms.errors.throttling_exception.ThrottlingException: <p>The request was denied due to request throttling. Retry the request later.</p>
        capo_lambda_microvms.errors.validation_exception.ValidationException: <p>The input does not satisfy the constraints specified by the service.</p>
        capo_lambda_microvms.errors.conflict_exception.ConflictException: <p>The request could not be completed due to a conflict with the current state of the resource.</p>
        capo_lambda_microvms.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource does not exist.</p>
        capo_lambda_microvms.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_lambda_microvms.types.suspend_microvm_request.SuspendMicrovmRequest]",
    ) -> AsyncOperationResponse[
        "capo_lambda_microvms.types.suspend_microvm_response.SuspendMicrovmResponse"
    ]:
        import capo_lambda_microvms._operations.lambda_microvms.suspend_microvm

        (
            output,
            http_response,
        ) = await capo_lambda_microvms._operations.lambda_microvms.suspend_microvm.async_suspend_microvm(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("SuspendMicrovm")
    )
    input_: capo_lambda_microvms.types.suspend_microvm_request.SuspendMicrovmRequest = {
        "microvm_identifier": microvm_identifier
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output