Class ServiceMonitoringServiceAsyncClient (2.9.2)

ServiceMonitoringServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.monitoring_v3.services.service_monitoring_service.transports.base.ServiceMonitoringServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

The Cloud Monitoring Service-Oriented Monitoring API has endpoints for managing and querying aspects of a workspace's services. These include the Service's monitored resources, its Service-Level Objectives, and a taxonomy of categorized Health Metrics.

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
ServiceMonitoringServiceTransportThe transport used by the client instance.

Methods

ServiceMonitoringServiceAsyncClient

ServiceMonitoringServiceAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.monitoring_v3.services.service_monitoring_service.transports.base.ServiceMonitoringServiceTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the service monitoring service client.

Parameters
NameDescription
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

transport Union[str, .ServiceMonitoringServiceTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.

Exceptions
TypeDescription
google.auth.exceptions.MutualTlsChannelErrorIf mutual TLS transport creation failed for any reason.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_service

create_service(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.CreateServiceRequest, dict]] = None, *, parent: Optional[str] = None, service: Optional[google.cloud.monitoring_v3.types.service.Service] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Create a Service.

from google.cloud import monitoring_v3

async def sample_create_service():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.CreateServiceRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_service(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.CreateServiceRequest, dict]

The request object. The CreateService request.

parent str

Required. Resource name https://cloud.google.com/monitoring/api/v3#project_name__ of the parent workspace. The format is: :: projects/[PROJECT_ID_OR_NUMBER] This corresponds to the parent field on the request instance; if request is provided, this should not be set.

service Service

Required. The Service to create. This corresponds to the service field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.types.ServiceA Service is a discrete, autonomous, and network-accessible unit, designed to solve an individual concern ([Wikipedia](https://en.wikipedia.org/wiki/Service-orientation)). In Cloud Monitoring, a Service acts as the root resource under which operational aspects of the service are accessible.

create_service_level_objective

create_service_level_objective(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.CreateServiceLevelObjectiveRequest, dict]] = None, *, parent: Optional[str] = None, service_level_objective: Optional[google.cloud.monitoring_v3.types.service.ServiceLevelObjective] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Create a ServiceLevelObjective for the given Service.

from google.cloud import monitoring_v3

async def sample_create_service_level_objective():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.CreateServiceLevelObjectiveRequest(
        parent="parent_value",
    )

    # Make the request
    response = await client.create_service_level_objective(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.CreateServiceLevelObjectiveRequest, dict]

The request object. The CreateServiceLevelObjective request.

parent str

Required. Resource name of the parent Service. The format is: :: projects/[PROJECT_ID_OR_NUMBER]/services/[SERVICE_ID] This corresponds to the parent field on the request instance; if request is provided, this should not be set.

service_level_objective ServiceLevelObjective

Required. The ServiceLevelObjective to create. The provided name will be respected if no ServiceLevelObjective exists with this name. This corresponds to the service_level_objective field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.types.ServiceLevelObjectiveA Service-Level Objective (SLO) describes a level of desired good service. It consists of a service-level indicator (SLI), a performance goal, and a period over which the objective is to be evaluated against that goal. The SLO can use SLIs defined in a number of different manners. Typical SLOs might include "99% of requests in each rolling week have latency below 200 milliseconds" or "99.5% of requests in each calendar month return successfully."

delete_service

delete_service(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.DeleteServiceRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Soft delete this Service.

from google.cloud import monitoring_v3

async def sample_delete_service():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.DeleteServiceRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_service(request=request)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.DeleteServiceRequest, dict]

The request object. The DeleteService request.

name str

Required. Resource name of the Service to delete. The format is: :: projects/[PROJECT_ID_OR_NUMBER]/services/[SERVICE_ID] This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

delete_service_level_objective

delete_service_level_objective(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.DeleteServiceLevelObjectiveRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Delete the given ServiceLevelObjective.

from google.cloud import monitoring_v3

async def sample_delete_service_level_objective():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.DeleteServiceLevelObjectiveRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_service_level_objective(request=request)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.DeleteServiceLevelObjectiveRequest, dict]

The request object. The DeleteServiceLevelObjective request.

name str

Required. Resource name of the ServiceLevelObjective to delete. The format is: :: projects/[PROJECT_ID_OR_NUMBER]/services/[SERVICE_ID]/serviceLevelObjectives/[SLO_NAME] This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ServiceMonitoringServiceAsyncClientThe constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
ServiceMonitoringServiceAsyncClientThe constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ServiceMonitoringServiceAsyncClientThe constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variabel is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
NameDescription
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_service

get_service(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.GetServiceRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Get the named Service.

from google.cloud import monitoring_v3

async def sample_get_service():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.GetServiceRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_service(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.GetServiceRequest, dict]

The request object. The GetService request.

name str

Required. Resource name of the Service. The format is: :: projects/[PROJECT_ID_OR_NUMBER]/services/[SERVICE_ID] This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.types.ServiceA Service is a discrete, autonomous, and network-accessible unit, designed to solve an individual concern ([Wikipedia](https://en.wikipedia.org/wiki/Service-orientation)). In Cloud Monitoring, a Service acts as the root resource under which operational aspects of the service are accessible.

get_service_level_objective

get_service_level_objective(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.GetServiceLevelObjectiveRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Get a ServiceLevelObjective by name.

from google.cloud import monitoring_v3

async def sample_get_service_level_objective():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.GetServiceLevelObjectiveRequest(
        name="name_value",
    )

    # Make the request
    response = await client.get_service_level_objective(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.GetServiceLevelObjectiveRequest, dict]

The request object. The GetServiceLevelObjective request.

name str

Required. Resource name of the ServiceLevelObjective to get. The format is: :: projects/[PROJECT_ID_OR_NUMBER]/services/[SERVICE_ID]/serviceLevelObjectives/[SLO_NAME] This corresponds to the name field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.types.ServiceLevelObjectiveA Service-Level Objective (SLO) describes a level of desired good service. It consists of a service-level indicator (SLI), a performance goal, and a period over which the objective is to be evaluated against that goal. The SLO can use SLIs defined in a number of different manners. Typical SLOs might include "99% of requests in each rolling week have latency below 200 milliseconds" or "99.5% of requests in each calendar month return successfully."

get_transport_class

get_transport_class()

Returns an appropriate transport class.

list_service_level_objectives

list_service_level_objectives(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.ListServiceLevelObjectivesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

List the ServiceLevelObjective\ s for the given Service.

from google.cloud import monitoring_v3

async def sample_list_service_level_objectives():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.ListServiceLevelObjectivesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_service_level_objectives(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.ListServiceLevelObjectivesRequest, dict]

The request object. The ListServiceLevelObjectives request.

parent str

Required. Resource name of the parent containing the listed SLOs, either a project or a Monitoring Workspace. The formats are: :: projects/[PROJECT_ID_OR_NUMBER]/services/[SERVICE_ID] workspaces/[HOST_PROJECT_ID_OR_NUMBER]/services/- This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.services.service_monitoring_service.pagers.ListServiceLevelObjectivesAsyncPagerThe ListServiceLevelObjectives response. Iterating over this object will yield results and resolve additional pages automatically.

list_services

list_services(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.ListServicesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

List Service\ s for this workspace.

from google.cloud import monitoring_v3

async def sample_list_services():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.ListServicesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_services(request=request)

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.ListServicesRequest, dict]

The request object. The ListServices request.

parent str

Required. Resource name of the parent containing the listed services, either a project https://cloud.google.com/monitoring/api/v3#project_name__ or a Monitoring Workspace. The formats are: :: projects/[PROJECT_ID_OR_NUMBER] workspaces/[HOST_PROJECT_ID_OR_NUMBER] This corresponds to the parent field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.services.service_monitoring_service.pagers.ListServicesAsyncPagerThe ListServices response. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_service_level_objective_path

parse_service_level_objective_path(path: str)

Parses a service_level_objective path into its component segments.

parse_service_path

parse_service_path(path: str)

Parses a service path into its component segments.

service_level_objective_path

service_level_objective_path(
    project: str, service: str, service_level_objective: str
)

Returns a fully-qualified service_level_objective string.

service_path

service_path(project: str, service: str)

Returns a fully-qualified service string.

update_service

update_service(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.UpdateServiceRequest, dict]] = None, *, service: Optional[google.cloud.monitoring_v3.types.service.Service] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Update this Service.

from google.cloud import monitoring_v3

async def sample_update_service():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.UpdateServiceRequest(
    )

    # Make the request
    response = await client.update_service(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.UpdateServiceRequest, dict]

The request object. The UpdateService request.

service Service

Required. The Service to draw updates from. The given name specifies the resource to update. This corresponds to the service field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.types.ServiceA Service is a discrete, autonomous, and network-accessible unit, designed to solve an individual concern ([Wikipedia](https://en.wikipedia.org/wiki/Service-orientation)). In Cloud Monitoring, a Service acts as the root resource under which operational aspects of the service are accessible.

update_service_level_objective

update_service_level_objective(request: Optional[Union[google.cloud.monitoring_v3.types.service_service.UpdateServiceLevelObjectiveRequest, dict]] = None, *, service_level_objective: Optional[google.cloud.monitoring_v3.types.service.ServiceLevelObjective] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Update the given ServiceLevelObjective.

from google.cloud import monitoring_v3

async def sample_update_service_level_objective():
    # Create a client
    client = monitoring_v3.ServiceMonitoringServiceAsyncClient()

    # Initialize request argument(s)
    request = monitoring_v3.UpdateServiceLevelObjectiveRequest(
    )

    # Make the request
    response = await client.update_service_level_objective(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.monitoring_v3.types.UpdateServiceLevelObjectiveRequest, dict]

The request object. The UpdateServiceLevelObjective request.

service_level_objective ServiceLevelObjective

Required. The ServiceLevelObjective to draw updates from. The given name specifies the resource to update. This corresponds to the service_level_objective field on the request instance; if request is provided, this should not be set.

retry google.api_core.retry.Retry

Designation of what errors, if any, should be retried.

timeout float

The timeout for this request.

metadata Sequence[Tuple[str, str]]

Strings which should be sent along with the request as metadata.

Returns
TypeDescription
google.cloud.monitoring_v3.types.ServiceLevelObjectiveA Service-Level Objective (SLO) describes a level of desired good service. It consists of a service-level indicator (SLI), a performance goal, and a period over which the objective is to be evaluated against that goal. The SLO can use SLIs defined in a number of different manners. Typical SLOs might include "99% of requests in each rolling week have latency below 200 milliseconds" or "99.5% of requests in each calendar month return successfully."