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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

google-native.aiplatform/v1beta1.FeatureOnlineStore

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Google Cloud Native is in preview. Google Cloud Classic is fully supported.

Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
pulumi/pulumi-google-native

    Creates a new FeatureOnlineStore in a given project and location. Auto-naming is currently not supported for this resource.

    Create FeatureOnlineStore Resource

    Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.

    Constructor syntax

    new FeatureOnlineStore(name: string, args: FeatureOnlineStoreArgs, opts?: CustomResourceOptions);
    @overload
def FeatureOnlineStore(resource_name: str,
                       args: FeatureOnlineStoreArgs,
                       opts: Optional[ResourceOptions] = None)

@overload
def FeatureOnlineStore(resource_name: str,
                       opts: Optional[ResourceOptions] = None,
                       feature_online_store_id: Optional[str] = None,
                       bigtable: Optional[GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs] = None,
                       dedicated_serving_endpoint: Optional[GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs] = None,
                       embedding_management: Optional[GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs] = None,
                       etag: Optional[str] = None,
                       labels: Optional[Mapping[str, str]] = None,
                       location: Optional[str] = None,
                       optimized: Optional[GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimizedArgs] = None,
                       project: Optional[str] = None)
    func NewFeatureOnlineStore(ctx *Context, name string, args FeatureOnlineStoreArgs, opts ...ResourceOption) (*FeatureOnlineStore, error)
    public FeatureOnlineStore(string name, FeatureOnlineStoreArgs args, CustomResourceOptions? opts = null)
    public FeatureOnlineStore(String name, FeatureOnlineStoreArgs args)
public FeatureOnlineStore(String name, FeatureOnlineStoreArgs args, CustomResourceOptions options)

    type: google-native:aiplatform/v1beta1:FeatureOnlineStore
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

    Parameters

    name string
    The unique name of the resource.
    args FeatureOnlineStoreArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    resource_name str
    The unique name of the resource.
    args FeatureOnlineStoreArgs
    The arguments to resource properties.
    opts ResourceOptions
    Bag of options to control resource's behavior.
    ctx Context
    Context object for the current deployment.
    name string
    The unique name of the resource.
    args FeatureOnlineStoreArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args FeatureOnlineStoreArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args FeatureOnlineStoreArgs
    The arguments to resource properties.
    options CustomResourceOptions
    Bag of options to control resource's behavior.

    Constructor example

    The following reference example uses placeholder values for all input properties.

    var google_nativeFeatureOnlineStoreResource = new GoogleNative.Aiplatform.V1Beta1.FeatureOnlineStore("google-nativeFeatureOnlineStoreResource", new()
{
    FeatureOnlineStoreId = "string",
    Bigtable = new GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs
    {
        AutoScaling = new GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScalingArgs
        {
            MaxNodeCount = 0,
            MinNodeCount = 0,
            CpuUtilizationTarget = 0,
        },
    },
    DedicatedServingEndpoint = new GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs
    {
        PrivateServiceConnectConfig = new GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigArgs
        {
            EnablePrivateServiceConnect = false,
            ProjectAllowlist = new[]
            {
                "string",
            },
        },
    },
    EmbeddingManagement = new GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs
    {
        Enabled = false,
    },
    Etag = "string",
    Labels = 
    {
        { "string", "string" },
    },
    Location = "string",
    Optimized = null,
    Project = "string",
});

    example, err := aiplatformv1beta1.NewFeatureOnlineStore(ctx, "google-nativeFeatureOnlineStoreResource", &aiplatformv1beta1.FeatureOnlineStoreArgs{
FeatureOnlineStoreId: pulumi.String("string"),
Bigtable: &aiplatform.GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs{
AutoScaling: &aiplatform.GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScalingArgs{
MaxNodeCount: pulumi.Int(0),
MinNodeCount: pulumi.Int(0),
CpuUtilizationTarget: pulumi.Int(0),
},
},
DedicatedServingEndpoint: &aiplatform.GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs{
PrivateServiceConnectConfig: &aiplatform.GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigArgs{
EnablePrivateServiceConnect: pulumi.Bool(false),
ProjectAllowlist: pulumi.StringArray{
pulumi.String("string"),
},
},
},
EmbeddingManagement: &aiplatform.GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs{
Enabled: pulumi.Bool(false),
},
Etag: pulumi.String("string"),
Labels: pulumi.StringMap{
"string": pulumi.String("string"),
},
Location: pulumi.String("string"),
Optimized: nil,
Project: pulumi.String("string"),
})

    var google_nativeFeatureOnlineStoreResource = new FeatureOnlineStore("google-nativeFeatureOnlineStoreResource", FeatureOnlineStoreArgs.builder()
    .featureOnlineStoreId("string")
    .bigtable(GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs.builder()
        .autoScaling(GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScalingArgs.builder()
            .maxNodeCount(0)
            .minNodeCount(0)
            .cpuUtilizationTarget(0)
            .build())
        .build())
    .dedicatedServingEndpoint(GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs.builder()
        .privateServiceConnectConfig(GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigArgs.builder()
            .enablePrivateServiceConnect(false)
            .projectAllowlist("string")
            .build())
        .build())
    .embeddingManagement(GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs.builder()
        .enabled(false)
        .build())
    .etag("string")
    .labels(Map.of("string", "string"))
    .location("string")
    .optimized()
    .project("string")
    .build());

    google_native_feature_online_store_resource = google_native.aiplatform.v1beta1.FeatureOnlineStore("google-nativeFeatureOnlineStoreResource",
    feature_online_store_id="string",
    bigtable=google_native.aiplatform.v1beta1.GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs(
        auto_scaling=google_native.aiplatform.v1beta1.GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScalingArgs(
            max_node_count=0,
            min_node_count=0,
            cpu_utilization_target=0,
        ),
    ),
    dedicated_serving_endpoint=google_native.aiplatform.v1beta1.GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs(
        private_service_connect_config=google_native.aiplatform.v1beta1.GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigArgs(
            enable_private_service_connect=False,
            project_allowlist=["string"],
        ),
    ),
    embedding_management=google_native.aiplatform.v1beta1.GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs(
        enabled=False,
    ),
    etag="string",
    labels={
        "string": "string",
    },
    location="string",
    optimized=google_native.aiplatform.v1beta1.GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimizedArgs(),
    project="string")

    const google_nativeFeatureOnlineStoreResource = new google_native.aiplatform.v1beta1.FeatureOnlineStore("google-nativeFeatureOnlineStoreResource", {
    featureOnlineStoreId: "string",
    bigtable: {
        autoScaling: {
            maxNodeCount: 0,
            minNodeCount: 0,
            cpuUtilizationTarget: 0,
        },
    },
    dedicatedServingEndpoint: {
        privateServiceConnectConfig: {
            enablePrivateServiceConnect: false,
            projectAllowlist: ["string"],
        },
    },
    embeddingManagement: {
        enabled: false,
    },
    etag: "string",
    labels: {
        string: "string",
    },
    location: "string",
    optimized: {},
    project: "string",
});

    type: google-native:aiplatform/v1beta1:FeatureOnlineStore
properties:
    bigtable:
        autoScaling:
            cpuUtilizationTarget: 0
            maxNodeCount: 0
            minNodeCount: 0
    dedicatedServingEndpoint:
        privateServiceConnectConfig:
            enablePrivateServiceConnect: false
            projectAllowlist:
                - string
    embeddingManagement:
        enabled: false
    etag: string
    featureOnlineStoreId: string
    labels:
        string: string
    location: string
    optimized: {}
    project: string

    FeatureOnlineStore Resource Properties

    To learn more about resource properties and how to use them, see Inputs and Outputs in the Architecture and Concepts docs.

    Inputs

    The FeatureOnlineStore resource accepts the following input properties:

    FeatureOnlineStoreId string
    Required. The ID to use for this FeatureOnlineStore, which will become the final component of the FeatureOnlineStore's resource name. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within the project and location.
    Bigtable Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtable
    Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
    DedicatedServingEndpoint Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpoint
    Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
    EmbeddingManagement Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagement
    Optional. The settings for embedding management in FeatureOnlineStore.
    Etag string
    Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    Labels Dictionary<string, string>
    Optional. The labels with user-defined metadata to organize your FeatureOnlineStore. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    Location string
    Optimized Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimized
    Contains settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. When choose Optimized storage type, need to set PrivateServiceConnectConfig.enable_private_service_connect to use private endpoint. Otherwise will use public endpoint by default.
    Project string
    FeatureOnlineStoreId string
    Required. The ID to use for this FeatureOnlineStore, which will become the final component of the FeatureOnlineStore's resource name. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within the project and location.
    Bigtable GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs
    Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
    DedicatedServingEndpoint GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs
    Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
    EmbeddingManagement GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs
    Optional. The settings for embedding management in FeatureOnlineStore.
    Etag string
    Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    Labels map[string]string
    Optional. The labels with user-defined metadata to organize your FeatureOnlineStore. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    Location string
    Optimized GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimizedArgs
    Contains settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. When choose Optimized storage type, need to set PrivateServiceConnectConfig.enable_private_service_connect to use private endpoint. Otherwise will use public endpoint by default.
    Project string
    featureOnlineStoreId String
    Required. The ID to use for this FeatureOnlineStore, which will become the final component of the FeatureOnlineStore's resource name. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within the project and location.
    bigtable GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtable
    Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
    dedicatedServingEndpoint GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpoint
    Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
    embeddingManagement GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagement
    Optional. The settings for embedding management in FeatureOnlineStore.
    etag String
    Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Map<String,String>
    Optional. The labels with user-defined metadata to organize your FeatureOnlineStore. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    location String
    optimized GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimized
    Contains settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. When choose Optimized storage type, need to set PrivateServiceConnectConfig.enable_private_service_connect to use private endpoint. Otherwise will use public endpoint by default.
    project String
    featureOnlineStoreId string
    Required. The ID to use for this FeatureOnlineStore, which will become the final component of the FeatureOnlineStore's resource name. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within the project and location.
    bigtable GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtable
    Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
    dedicatedServingEndpoint GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpoint
    Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
    embeddingManagement GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagement
    Optional. The settings for embedding management in FeatureOnlineStore.
    etag string
    Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels {[key: string]: string}
    Optional. The labels with user-defined metadata to organize your FeatureOnlineStore. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    location string
    optimized GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimized
    Contains settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. When choose Optimized storage type, need to set PrivateServiceConnectConfig.enable_private_service_connect to use private endpoint. Otherwise will use public endpoint by default.
    project string
    feature_online_store_id str
    Required. The ID to use for this FeatureOnlineStore, which will become the final component of the FeatureOnlineStore's resource name. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within the project and location.
    bigtable GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs
    Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
    dedicated_serving_endpoint GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs
    Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
    embedding_management GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs
    Optional. The settings for embedding management in FeatureOnlineStore.
    etag str
    Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Mapping[str, str]
    Optional. The labels with user-defined metadata to organize your FeatureOnlineStore. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    location str
    optimized GoogleCloudAiplatformV1beta1FeatureOnlineStoreOptimizedArgs
    Contains settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. When choose Optimized storage type, need to set PrivateServiceConnectConfig.enable_private_service_connect to use private endpoint. Otherwise will use public endpoint by default.
    project str
    featureOnlineStoreId String
    Required. The ID to use for this FeatureOnlineStore, which will become the final component of the FeatureOnlineStore's resource name. This value may be up to 60 characters, and valid characters are [a-z0-9_]. The first character cannot be a number. The value must be unique within the project and location.
    bigtable Property Map
    Contains settings for the Cloud Bigtable instance that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore.
    dedicatedServingEndpoint Property Map
    Optional. The dedicated serving endpoint for this FeatureOnlineStore, which is different from common Vertex service endpoint.
    embeddingManagement Property Map
    Optional. The settings for embedding management in FeatureOnlineStore.
    etag String
    Optional. Used to perform consistent read-modify-write updates. If not set, a blind "overwrite" update happens.
    labels Map<String>
    Optional. The labels with user-defined metadata to organize your FeatureOnlineStore. Label keys and values can be no longer than 64 characters (Unicode codepoints), can only contain lowercase letters, numeric characters, underscores and dashes. International characters are allowed. See https://goo.gl/xmQnxf for more information on and examples of labels. No more than 64 user labels can be associated with one FeatureOnlineStore(System labels are excluded)." System reserved label keys are prefixed with "aiplatform.googleapis.com/" and are immutable.
    location String
    optimized Property Map
    Contains settings for the Optimized store that will be created to serve featureValues for all FeatureViews under this FeatureOnlineStore. When choose Optimized storage type, need to set PrivateServiceConnectConfig.enable_private_service_connect to use private endpoint. Otherwise will use public endpoint by default.
    project String

    Outputs

    All input properties are implicitly available as output properties. Additionally, the FeatureOnlineStore resource produces the following output properties:

    CreateTime string
    Timestamp when this FeatureOnlineStore was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    Name of the FeatureOnlineStore. Format: projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
    State string
    State of the featureOnlineStore.
    UpdateTime string
    Timestamp when this FeatureOnlineStore was last updated.
    CreateTime string
    Timestamp when this FeatureOnlineStore was created.
    Id string
    The provider-assigned unique ID for this managed resource.
    Name string
    Name of the FeatureOnlineStore. Format: projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
    State string
    State of the featureOnlineStore.
    UpdateTime string
    Timestamp when this FeatureOnlineStore was last updated.
    createTime String
    Timestamp when this FeatureOnlineStore was created.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    Name of the FeatureOnlineStore. Format: projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
    state String
    State of the featureOnlineStore.
    updateTime String
    Timestamp when this FeatureOnlineStore was last updated.
    createTime string
    Timestamp when this FeatureOnlineStore was created.
    id string
    The provider-assigned unique ID for this managed resource.
    name string
    Name of the FeatureOnlineStore. Format: projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
    state string
    State of the featureOnlineStore.
    updateTime string
    Timestamp when this FeatureOnlineStore was last updated.
    create_time str
    Timestamp when this FeatureOnlineStore was created.
    id str
    The provider-assigned unique ID for this managed resource.
    name str
    Name of the FeatureOnlineStore. Format: projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
    state str
    State of the featureOnlineStore.
    update_time str
    Timestamp when this FeatureOnlineStore was last updated.
    createTime String
    Timestamp when this FeatureOnlineStore was created.
    id String
    The provider-assigned unique ID for this managed resource.
    name String
    Name of the FeatureOnlineStore. Format: projects/{project}/locations/{location}/featureOnlineStores/{featureOnlineStore}
    state String
    State of the featureOnlineStore.
    updateTime String
    Timestamp when this FeatureOnlineStore was last updated.

    Supporting Types

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtable, GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableArgs

    autoScaling Property Map
    Autoscaling config applied to Bigtable Instance.

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScaling, GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScalingArgs

    MaxNodeCount int
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    MinNodeCount int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    CpuUtilizationTarget int
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    MaxNodeCount int
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    MinNodeCount int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    CpuUtilizationTarget int
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount Integer
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    minNodeCount Integer
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget Integer
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount number
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    minNodeCount number
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget number
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    max_node_count int
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    min_node_count int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpu_utilization_target int
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount Number
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    minNodeCount Number
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget Number
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScalingResponse, GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableAutoScalingResponseArgs

    CpuUtilizationTarget int
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    MaxNodeCount int
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    MinNodeCount int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    CpuUtilizationTarget int
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    MaxNodeCount int
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    MinNodeCount int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget Integer
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount Integer
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    minNodeCount Integer
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget number
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount number
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    minNodeCount number
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpu_utilization_target int
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    max_node_count int
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    min_node_count int
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.
    cpuUtilizationTarget Number
    Optional. A percentage of the cluster's CPU capacity. Can be from 10% to 80%. When a cluster's CPU utilization exceeds the target that you have set, Bigtable immediately adds nodes to the cluster. When CPU utilization is substantially lower than the target, Bigtable removes nodes. If not set will default to 50%.
    maxNodeCount Number
    The maximum number of nodes to scale up to. Must be greater than or equal to min_node_count, and less than or equal to 10 times of 'min_node_count'.
    minNodeCount Number
    The minimum number of nodes to scale down to. Must be greater than or equal to 1.

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableResponse, GoogleCloudAiplatformV1beta1FeatureOnlineStoreBigtableResponseArgs

    autoScaling Property Map
    Autoscaling config applied to Bigtable Instance.

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpoint, GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointArgs

    PrivateServiceConnectConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PrivateServiceConnectConfig
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    PrivateServiceConnectConfig GoogleCloudAiplatformV1beta1PrivateServiceConnectConfig
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    privateServiceConnectConfig GoogleCloudAiplatformV1beta1PrivateServiceConnectConfig
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    privateServiceConnectConfig GoogleCloudAiplatformV1beta1PrivateServiceConnectConfig
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    private_service_connect_config GoogleCloudAiplatformV1beta1PrivateServiceConnectConfig
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    privateServiceConnectConfig Property Map
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointResponse, GoogleCloudAiplatformV1beta1FeatureOnlineStoreDedicatedServingEndpointResponseArgs

    PrivateServiceConnectConfig Pulumi.GoogleNative.Aiplatform.V1Beta1.Inputs.GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigResponse
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    PublicEndpointDomainName string
    This field will be populated with the domain name to use for this FeatureOnlineStore
    ServiceAttachment string
    The name of the service attachment resource. Populated if private service connect is enabled and after FeatureViewSync is created.
    PrivateServiceConnectConfig GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigResponse
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    PublicEndpointDomainName string
    This field will be populated with the domain name to use for this FeatureOnlineStore
    ServiceAttachment string
    The name of the service attachment resource. Populated if private service connect is enabled and after FeatureViewSync is created.
    privateServiceConnectConfig GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigResponse
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    publicEndpointDomainName String
    This field will be populated with the domain name to use for this FeatureOnlineStore
    serviceAttachment String
    The name of the service attachment resource. Populated if private service connect is enabled and after FeatureViewSync is created.
    privateServiceConnectConfig GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigResponse
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    publicEndpointDomainName string
    This field will be populated with the domain name to use for this FeatureOnlineStore
    serviceAttachment string
    The name of the service attachment resource. Populated if private service connect is enabled and after FeatureViewSync is created.
    private_service_connect_config GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigResponse
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    public_endpoint_domain_name str
    This field will be populated with the domain name to use for this FeatureOnlineStore
    service_attachment str
    The name of the service attachment resource. Populated if private service connect is enabled and after FeatureViewSync is created.
    privateServiceConnectConfig Property Map
    Optional. Private service connect config. If PrivateServiceConnectConfig.enable_private_service_connect set to true, customers will use private service connection to send request. Otherwise, the connection will set to public endpoint.
    publicEndpointDomainName String
    This field will be populated with the domain name to use for this FeatureOnlineStore
    serviceAttachment String
    The name of the service attachment resource. Populated if private service connect is enabled and after FeatureViewSync is created.

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagement, GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementArgs

    Enabled bool
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    Enabled bool
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled Boolean
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled boolean
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled bool
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled Boolean
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.

    GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementResponse, GoogleCloudAiplatformV1beta1FeatureOnlineStoreEmbeddingManagementResponseArgs

    Enabled bool
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    Enabled bool
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled Boolean
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled boolean
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled bool
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.
    enabled Boolean
    Optional. Immutable. Whether to enable embedding management in this FeatureOnlineStore. It's immutable after creation to ensure the FeatureOnlineStore availability.

    GoogleCloudAiplatformV1beta1PrivateServiceConnectConfig, GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigArgs

    EnablePrivateServiceConnect bool
    If true, expose the IndexEndpoint via private service connect.
    ProjectAllowlist List<string>
    A list of Projects from which the forwarding rule will target the service attachment.
    EnablePrivateServiceConnect bool
    If true, expose the IndexEndpoint via private service connect.
    ProjectAllowlist []string
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect Boolean
    If true, expose the IndexEndpoint via private service connect.
    projectAllowlist List<String>
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect boolean
    If true, expose the IndexEndpoint via private service connect.
    projectAllowlist string[]
    A list of Projects from which the forwarding rule will target the service attachment.
    enable_private_service_connect bool
    If true, expose the IndexEndpoint via private service connect.
    project_allowlist Sequence[str]
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect Boolean
    If true, expose the IndexEndpoint via private service connect.
    projectAllowlist List<String>
    A list of Projects from which the forwarding rule will target the service attachment.

    GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigResponse, GoogleCloudAiplatformV1beta1PrivateServiceConnectConfigResponseArgs

    EnablePrivateServiceConnect bool
    If true, expose the IndexEndpoint via private service connect.
    ProjectAllowlist List<string>
    A list of Projects from which the forwarding rule will target the service attachment.
    EnablePrivateServiceConnect bool
    If true, expose the IndexEndpoint via private service connect.
    ProjectAllowlist []string
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect Boolean
    If true, expose the IndexEndpoint via private service connect.
    projectAllowlist List<String>
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect boolean
    If true, expose the IndexEndpoint via private service connect.
    projectAllowlist string[]
    A list of Projects from which the forwarding rule will target the service attachment.
    enable_private_service_connect bool
    If true, expose the IndexEndpoint via private service connect.
    project_allowlist Sequence[str]
    A list of Projects from which the forwarding rule will target the service attachment.
    enablePrivateServiceConnect Boolean
    If true, expose the IndexEndpoint via private service connect.
    projectAllowlist List<String>
    A list of Projects from which the forwarding rule will target the service attachment.

    Package Details

    Repository
    Google Cloud Native pulumi/pulumi-google-native
    License
    Apache-2.0
    google-native logo

    Google Cloud Native is in preview. Google Cloud Classic is fully supported.

    Google Cloud Native v0.32.0 published on Wednesday, Nov 29, 2023 by Pulumi
    pulumi/pulumi-google-native