Describes the available CloudWatch metrics for Amazon EC2 Auto Scaling.
Raises:
-
ResourceContentionFault
–
You already have a pending update to an Amazon EC2 Auto Scaling resource (for example, an Auto Scaling group, instance, or load balancer).
-
UnknownServiceError
–
The service returned an error code this client does not model.
Examples:
To describe the Auto Scaling metric collection types
This example describes the available metric collection types.
>>> await client.describe_metric_collection_types()
Source code in docs_src/capo_auto_scaling/_services/async_auto_scaling.py
| async def describe_metric_collection_types(
self, *, config_overrides: Optional[AsyncAutoScalingClientConfig] = None
) -> "capo_auto_scaling.types.describe_metric_collection_types_answer.DescribeMetricCollectionTypesAnswer":
"""<p>Describes the available CloudWatch metrics for Amazon EC2 Auto Scaling.</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.UnknownServiceError: The service returned an error code this client does not model.
Examples:
To describe the Auto Scaling metric collection types
This example describes the available metric collection types.
>>> await client.describe_metric_collection_types()
"""
async def _handler(
req: "AsyncOperationRequest[None]",
) -> AsyncOperationResponse[
"capo_auto_scaling.types.describe_metric_collection_types_answer.DescribeMetricCollectionTypesAnswer"
]:
import capo_auto_scaling._operations.auto_scaling_2011_01_01.describe_metric_collection_types
(
output,
http_response,
) = await capo_auto_scaling._operations.auto_scaling_2011_01_01.describe_metric_collection_types.async_describe_metric_collection_types(
req.options
)
return AsyncOperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("DescribeMetricCollectionTypes")
)
response = await aexecute_pipeline(
AsyncOperationRequest(input=None, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
await response.response.aclose()
return response.output
|