Class AwsClustersAsyncClient (0.5.1)

The AwsClusters API provides a single centrally managed service to create and manage Anthos clusters that run on AWS infrastructure.

Returns the transport used by the client instance.

Instantiates the aws clusters client.

Returns a fully-qualified aws_cluster string.

Returns a fully-qualified aws_node_pool string.

Returns a fully-qualified aws_server_config string.

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Creates a new xref_AwsCluster resource on a given GCP project and region.

If successful, the response contains a newly created Operation][google.longrunning.Operation] resource that can be described to track the status of the operation.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_create_aws_cluster():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    aws_cluster = gke_multicloud_v1.AwsCluster()
    aws_cluster.networking.vpc_id = "vpc_id_value"
    aws_cluster.networking.pod_address_cidr_blocks = ['pod_address_cidr_blocks_value1', 'pod_address_cidr_blocks_value2']
    aws_cluster.networking.service_address_cidr_blocks = ['service_address_cidr_blocks_value1', 'service_address_cidr_blocks_value2']
    aws_cluster.aws_region = "aws_region_value"
    aws_cluster.control_plane.version = "version_value"
    aws_cluster.control_plane.subnet_ids = ['subnet_ids_value1', 'subnet_ids_value2']
    aws_cluster.control_plane.iam_instance_profile = "iam_instance_profile_value"
    aws_cluster.control_plane.database_encryption.kms_key_arn = "kms_key_arn_value"
    aws_cluster.control_plane.aws_services_authentication.role_arn = "role_arn_value"
    aws_cluster.control_plane.config_encryption.kms_key_arn = "kms_key_arn_value"
    aws_cluster.authorization.admin_users.username = "username_value"
    aws_cluster.fleet.project = "project_value"

    request = gke_multicloud_v1.CreateAwsClusterRequest(
        parent="parent_value",
        aws_cluster=aws_cluster,
        aws_cluster_id="aws_cluster_id_value",
    )

    # Make the request
    operation = client.create_aws_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Creates a new xref_AwsNodePool, attached to a given xref_AwsCluster.

If successful, the response contains a newly created Operation][google.longrunning.Operation] resource that can be described to track the status of the operation.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_create_aws_node_pool():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    aws_node_pool = gke_multicloud_v1.AwsNodePool()
    aws_node_pool.version = "version_value"
    aws_node_pool.config.iam_instance_profile = "iam_instance_profile_value"
    aws_node_pool.config.config_encryption.kms_key_arn = "kms_key_arn_value"
    aws_node_pool.autoscaling.min_node_count = 1489
    aws_node_pool.autoscaling.max_node_count = 1491
    aws_node_pool.subnet_id = "subnet_id_value"
    aws_node_pool.max_pods_constraint.max_pods_per_node = 1798

    request = gke_multicloud_v1.CreateAwsNodePoolRequest(
        parent="parent_value",
        aws_node_pool=aws_node_pool,
        aws_node_pool_id="aws_node_pool_id_value",
    )

    # Make the request
    operation = client.create_aws_node_pool(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a specific xref_AwsCluster resource.

Fails if the cluster has one or more associated xref_AwsNodePool resources.

If successful, the response contains a newly created Operation][google.longrunning.Operation] resource that can be described to track the status of the operation.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_delete_aws_cluster():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.DeleteAwsClusterRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_aws_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a specific xref_AwsNodePool resource.

If successful, the response contains a newly created Operation][google.longrunning.Operation] resource that can be described to track the status of the operation.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_delete_aws_node_pool():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.DeleteAwsNodePoolRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_aws_node_pool(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Deletes a long-running operation.

This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

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

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

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

Generates a short-lived access token to authenticate to a given xref_AwsCluster resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_generate_aws_access_token():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.GenerateAwsAccessTokenRequest(
        aws_cluster="aws_cluster_value",
    )

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

    # Handle the response
    print(response)

Describes a specific xref_AwsCluster resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_get_aws_cluster():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.GetAwsClusterRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Describes a specific xref_AwsNodePool resource.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_get_aws_node_pool():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.GetAwsNodePoolRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Returns information, such as supported AWS regions and Kubernetes versions, on a given Google Cloud location.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_get_aws_server_config():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.GetAwsServerConfigRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

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 variable 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.

Gets the latest state of a long-running operation.

Returns an appropriate transport class.

Lists all xref_AwsCluster resources on a given Google Cloud project and region.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_list_aws_clusters():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.ListAwsClustersRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)

Lists all xref_AwsNodePool resources on a given xref_AwsCluster.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_list_aws_node_pools():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    request = gke_multicloud_v1.ListAwsNodePoolsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)

Lists operations that match the specified filter in the request.

Parses a aws_cluster path into its component segments.

Parses a aws_node_pool path into its component segments.

Parses a aws_server_config path into its component segments.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Updates an xref_AwsCluster.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_update_aws_cluster():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    aws_cluster = gke_multicloud_v1.AwsCluster()
    aws_cluster.networking.vpc_id = "vpc_id_value"
    aws_cluster.networking.pod_address_cidr_blocks = ['pod_address_cidr_blocks_value1', 'pod_address_cidr_blocks_value2']
    aws_cluster.networking.service_address_cidr_blocks = ['service_address_cidr_blocks_value1', 'service_address_cidr_blocks_value2']
    aws_cluster.aws_region = "aws_region_value"
    aws_cluster.control_plane.version = "version_value"
    aws_cluster.control_plane.subnet_ids = ['subnet_ids_value1', 'subnet_ids_value2']
    aws_cluster.control_plane.iam_instance_profile = "iam_instance_profile_value"
    aws_cluster.control_plane.database_encryption.kms_key_arn = "kms_key_arn_value"
    aws_cluster.control_plane.aws_services_authentication.role_arn = "role_arn_value"
    aws_cluster.control_plane.config_encryption.kms_key_arn = "kms_key_arn_value"
    aws_cluster.authorization.admin_users.username = "username_value"
    aws_cluster.fleet.project = "project_value"

    request = gke_multicloud_v1.UpdateAwsClusterRequest(
        aws_cluster=aws_cluster,
    )

    # Make the request
    operation = client.update_aws_cluster(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)

Updates an xref_AwsNodePool.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import gke_multicloud_v1

async def sample_update_aws_node_pool():
    # Create a client
    client = gke_multicloud_v1.AwsClustersAsyncClient()

    # Initialize request argument(s)
    aws_node_pool = gke_multicloud_v1.AwsNodePool()
    aws_node_pool.version = "version_value"
    aws_node_pool.config.iam_instance_profile = "iam_instance_profile_value"
    aws_node_pool.config.config_encryption.kms_key_arn = "kms_key_arn_value"
    aws_node_pool.autoscaling.min_node_count = 1489
    aws_node_pool.autoscaling.max_node_count = 1491
    aws_node_pool.subnet_id = "subnet_id_value"
    aws_node_pool.max_pods_constraint.max_pods_per_node = 1798

    request = gke_multicloud_v1.UpdateAwsNodePoolRequest(
        aws_node_pool=aws_node_pool,
    )

    # Make the request
    operation = client.update_aws_node_pool(request=request)

    print("Waiting for operation to complete...")

    response = (await operation).result()

    # Handle the response
    print(response)