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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.ml/v1.Trial

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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

    Adds a user provided trial to a study. Auto-naming is currently not supported for this resource.

    Create Trial Resource

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

    Constructor syntax

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

@overload
def Trial(resource_name: str,
          opts: Optional[ResourceOptions] = None,
          study_id: Optional[str] = None,
          final_measurement: Optional[GoogleCloudMlV1__MeasurementArgs] = None,
          location: Optional[str] = None,
          measurements: Optional[Sequence[GoogleCloudMlV1__MeasurementArgs]] = None,
          parameters: Optional[Sequence[GoogleCloudMlV1_Trial_ParameterArgs]] = None,
          project: Optional[str] = None,
          state: Optional[TrialState] = None)
    func NewTrial(ctx *Context, name string, args TrialArgs, opts ...ResourceOption) (*Trial, error)
    public Trial(string name, TrialArgs args, CustomResourceOptions? opts = null)
    public Trial(String name, TrialArgs args)
public Trial(String name, TrialArgs args, CustomResourceOptions options)

    type: google-native:ml/v1:Trial
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 TrialArgs
    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 TrialArgs
    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 TrialArgs
    The arguments to resource properties.
    opts ResourceOption
    Bag of options to control resource's behavior.
    name string
    The unique name of the resource.
    args TrialArgs
    The arguments to resource properties.
    opts CustomResourceOptions
    Bag of options to control resource's behavior.
    name String
    The unique name of the resource.
    args TrialArgs
    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 exampletrialResourceResourceFromMlv1 = new GoogleNative.Ml.V1.Trial("exampletrialResourceResourceFromMlv1", new()
{
    StudyId = "string",
    FinalMeasurement = new GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1__MeasurementArgs
    {
        Metrics = new[]
        {
            new GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_Measurement_MetricArgs
            {
                Metric = "string",
                Value = 0,
            },
        },
        StepCount = "string",
    },
    Location = "string",
    Measurements = new[]
    {
        new GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1__MeasurementArgs
        {
            Metrics = new[]
            {
                new GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_Measurement_MetricArgs
                {
                    Metric = "string",
                    Value = 0,
                },
            },
            StepCount = "string",
        },
    },
    Parameters = new[]
    {
        new GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_Trial_ParameterArgs
        {
            FloatValue = 0,
            IntValue = "string",
            Parameter = "string",
            StringValue = "string",
        },
    },
    Project = "string",
    State = GoogleNative.Ml.V1.TrialState.StateUnspecified,
});

    example, err := ml.NewTrial(ctx, "exampletrialResourceResourceFromMlv1", &ml.TrialArgs{
	StudyId: pulumi.String("string"),
	FinalMeasurement: &ml.GoogleCloudMlV1__MeasurementArgs{
		Metrics: ml.GoogleCloudMlV1_Measurement_MetricArray{
			&ml.GoogleCloudMlV1_Measurement_MetricArgs{
				Metric: pulumi.String("string"),
				Value:  pulumi.Float64(0),
			},
		},
		StepCount: pulumi.String("string"),
	},
	Location: pulumi.String("string"),
	Measurements: ml.GoogleCloudMlV1__MeasurementArray{
		&ml.GoogleCloudMlV1__MeasurementArgs{
			Metrics: ml.GoogleCloudMlV1_Measurement_MetricArray{
				&ml.GoogleCloudMlV1_Measurement_MetricArgs{
					Metric: pulumi.String("string"),
					Value:  pulumi.Float64(0),
				},
			},
			StepCount: pulumi.String("string"),
		},
	},
	Parameters: ml.GoogleCloudMlV1_Trial_ParameterArray{
		&ml.GoogleCloudMlV1_Trial_ParameterArgs{
			FloatValue:  pulumi.Float64(0),
			IntValue:    pulumi.String("string"),
			Parameter:   pulumi.String("string"),
			StringValue: pulumi.String("string"),
		},
	},
	Project: pulumi.String("string"),
	State:   ml.TrialStateStateUnspecified,
})

    var exampletrialResourceResourceFromMlv1 = new Trial("exampletrialResourceResourceFromMlv1", TrialArgs.builder()
    .studyId("string")
    .finalMeasurement(GoogleCloudMlV1__MeasurementArgs.builder()
        .metrics(GoogleCloudMlV1_Measurement_MetricArgs.builder()
            .metric("string")
            .value(0)
            .build())
        .stepCount("string")
        .build())
    .location("string")
    .measurements(GoogleCloudMlV1__MeasurementArgs.builder()
        .metrics(GoogleCloudMlV1_Measurement_MetricArgs.builder()
            .metric("string")
            .value(0)
            .build())
        .stepCount("string")
        .build())
    .parameters(GoogleCloudMlV1_Trial_ParameterArgs.builder()
        .floatValue(0)
        .intValue("string")
        .parameter("string")
        .stringValue("string")
        .build())
    .project("string")
    .state("STATE_UNSPECIFIED")
    .build());

    exampletrial_resource_resource_from_mlv1 = google_native.ml.v1.Trial("exampletrialResourceResourceFromMlv1",
    study_id="string",
    final_measurement={
        "metrics": [{
            "metric": "string",
            "value": 0,
        }],
        "step_count": "string",
    },
    location="string",
    measurements=[{
        "metrics": [{
            "metric": "string",
            "value": 0,
        }],
        "step_count": "string",
    }],
    parameters=[{
        "float_value": 0,
        "int_value": "string",
        "parameter": "string",
        "string_value": "string",
    }],
    project="string",
    state=google_native.ml.v1.TrialState.STATE_UNSPECIFIED)

    const exampletrialResourceResourceFromMlv1 = new google_native.ml.v1.Trial("exampletrialResourceResourceFromMlv1", {
    studyId: "string",
    finalMeasurement: {
        metrics: [{
            metric: "string",
            value: 0,
        }],
        stepCount: "string",
    },
    location: "string",
    measurements: [{
        metrics: [{
            metric: "string",
            value: 0,
        }],
        stepCount: "string",
    }],
    parameters: [{
        floatValue: 0,
        intValue: "string",
        parameter: "string",
        stringValue: "string",
    }],
    project: "string",
    state: google_native.ml.v1.TrialState.StateUnspecified,
});

    type: google-native:ml/v1:Trial
properties:
    finalMeasurement:
        metrics:
            - metric: string
              value: 0
        stepCount: string
    location: string
    measurements:
        - metrics:
            - metric: string
              value: 0
          stepCount: string
    parameters:
        - floatValue: 0
          intValue: string
          parameter: string
          stringValue: string
    project: string
    state: STATE_UNSPECIFIED
    studyId: string

    Trial Resource Properties

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

    Inputs

    In Python, inputs that are objects can be passed either as argument classes or as dictionary literals.

    The Trial resource accepts the following input properties:

    StudyId string
    FinalMeasurement Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1__Measurement
    The final measurement containing the objective value.
    Location string
    Measurements List<Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1__Measurement>
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
    Parameters List<Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_Trial_Parameter>
    The parameters of the trial.
    Project string
    State Pulumi.GoogleNative.Ml.V1.TrialState
    The detailed state of a trial.
    StudyId string
    FinalMeasurement GoogleCloudMlV1__MeasurementArgs
    The final measurement containing the objective value.
    Location string
    Measurements []GoogleCloudMlV1__MeasurementArgs
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
    Parameters []GoogleCloudMlV1_Trial_ParameterArgs
    The parameters of the trial.
    Project string
    State TrialStateEnum
    The detailed state of a trial.
    studyId String
    finalMeasurement GoogleCloudMlV1__Measurement
    The final measurement containing the objective value.
    location String
    measurements List<GoogleCloudMlV1__Measurement>
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
    parameters List<GoogleCloudMlV1_Trial_Parameter>
    The parameters of the trial.
    project String
    state TrialState
    The detailed state of a trial.
    studyId string
    finalMeasurement GoogleCloudMlV1__Measurement
    The final measurement containing the objective value.
    location string
    measurements GoogleCloudMlV1__Measurement[]
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
    parameters GoogleCloudMlV1_Trial_Parameter[]
    The parameters of the trial.
    project string
    state TrialState
    The detailed state of a trial.
    study_id str
    final_measurement GoogleCloudMlV1MeasurementArgs
    The final measurement containing the objective value.
    location str
    measurements Sequence[GoogleCloudMlV1MeasurementArgs]
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
    parameters Sequence[GoogleCloudMlV1Trial_ParameterArgs]
    The parameters of the trial.
    project str
    state TrialState
    The detailed state of a trial.
    studyId String
    finalMeasurement Property Map
    The final measurement containing the objective value.
    location String
    measurements List<Property Map>
    A list of measurements that are strictly lexicographically ordered by their induced tuples (steps, elapsed_time). These are used for early stopping computations.
    parameters List<Property Map>
    The parameters of the trial.
    project String
    state "STATE_UNSPECIFIED" | "REQUESTED" | "ACTIVE" | "COMPLETED" | "STOPPING"
    The detailed state of a trial.

    Outputs

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

    ClientId string
    The identifier of the client that originally requested this trial.
    EndTime string
    Time at which the trial's status changed to COMPLETED.
    Id string
    The provider-assigned unique ID for this managed resource.
    InfeasibleReason string
    A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
    Name string
    Name of the trial assigned by the service.
    StartTime string
    Time at which the trial was started.
    TrialInfeasible bool
    If true, the parameters in this trial are not attempted again.
    ClientId string
    The identifier of the client that originally requested this trial.
    EndTime string
    Time at which the trial's status changed to COMPLETED.
    Id string
    The provider-assigned unique ID for this managed resource.
    InfeasibleReason string
    A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
    Name string
    Name of the trial assigned by the service.
    StartTime string
    Time at which the trial was started.
    TrialInfeasible bool
    If true, the parameters in this trial are not attempted again.
    clientId String
    The identifier of the client that originally requested this trial.
    endTime String
    Time at which the trial's status changed to COMPLETED.
    id String
    The provider-assigned unique ID for this managed resource.
    infeasibleReason String
    A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
    name String
    Name of the trial assigned by the service.
    startTime String
    Time at which the trial was started.
    trialInfeasible Boolean
    If true, the parameters in this trial are not attempted again.
    clientId string
    The identifier of the client that originally requested this trial.
    endTime string
    Time at which the trial's status changed to COMPLETED.
    id string
    The provider-assigned unique ID for this managed resource.
    infeasibleReason string
    A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
    name string
    Name of the trial assigned by the service.
    startTime string
    Time at which the trial was started.
    trialInfeasible boolean
    If true, the parameters in this trial are not attempted again.
    client_id str
    The identifier of the client that originally requested this trial.
    end_time str
    Time at which the trial's status changed to COMPLETED.
    id str
    The provider-assigned unique ID for this managed resource.
    infeasible_reason str
    A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
    name str
    Name of the trial assigned by the service.
    start_time str
    Time at which the trial was started.
    trial_infeasible bool
    If true, the parameters in this trial are not attempted again.
    clientId String
    The identifier of the client that originally requested this trial.
    endTime String
    Time at which the trial's status changed to COMPLETED.
    id String
    The provider-assigned unique ID for this managed resource.
    infeasibleReason String
    A human readable string describing why the trial is infeasible. This should only be set if trial_infeasible is true.
    name String
    Name of the trial assigned by the service.
    startTime String
    Time at which the trial was started.
    trialInfeasible Boolean
    If true, the parameters in this trial are not attempted again.

    Supporting Types

    GoogleCloudMlV1_Measurement_Metric, GoogleCloudMlV1_Measurement_MetricArgs

    Metric string
    Metric name.
    Value double
    The value for this metric.
    Metric string
    Metric name.
    Value float64
    The value for this metric.
    metric String
    Metric name.
    value Double
    The value for this metric.
    metric string
    Metric name.
    value number
    The value for this metric.
    metric str
    Metric name.
    value float
    The value for this metric.
    metric String
    Metric name.
    value Number
    The value for this metric.

    GoogleCloudMlV1_Measurement_MetricResponse, GoogleCloudMlV1_Measurement_MetricResponseArgs

    Metric string
    Metric name.
    Value double
    The value for this metric.
    Metric string
    Metric name.
    Value float64
    The value for this metric.
    metric String
    Metric name.
    value Double
    The value for this metric.
    metric string
    Metric name.
    value number
    The value for this metric.
    metric str
    Metric name.
    value float
    The value for this metric.
    metric String
    Metric name.
    value Number
    The value for this metric.

    GoogleCloudMlV1_Trial_Parameter, GoogleCloudMlV1_Trial_ParameterArgs

    FloatValue double
    Must be set if ParameterType is DOUBLE or DISCRETE.
    IntValue string
    Must be set if ParameterType is INTEGER
    Parameter string
    The name of the parameter.
    StringValue string
    Must be set if ParameterTypeis CATEGORICAL
    FloatValue float64
    Must be set if ParameterType is DOUBLE or DISCRETE.
    IntValue string
    Must be set if ParameterType is INTEGER
    Parameter string
    The name of the parameter.
    StringValue string
    Must be set if ParameterTypeis CATEGORICAL
    floatValue Double
    Must be set if ParameterType is DOUBLE or DISCRETE.
    intValue String
    Must be set if ParameterType is INTEGER
    parameter String
    The name of the parameter.
    stringValue String
    Must be set if ParameterTypeis CATEGORICAL
    floatValue number
    Must be set if ParameterType is DOUBLE or DISCRETE.
    intValue string
    Must be set if ParameterType is INTEGER
    parameter string
    The name of the parameter.
    stringValue string
    Must be set if ParameterTypeis CATEGORICAL
    float_value float
    Must be set if ParameterType is DOUBLE or DISCRETE.
    int_value str
    Must be set if ParameterType is INTEGER
    parameter str
    The name of the parameter.
    string_value str
    Must be set if ParameterTypeis CATEGORICAL
    floatValue Number
    Must be set if ParameterType is DOUBLE or DISCRETE.
    intValue String
    Must be set if ParameterType is INTEGER
    parameter String
    The name of the parameter.
    stringValue String
    Must be set if ParameterTypeis CATEGORICAL

    GoogleCloudMlV1_Trial_ParameterResponse, GoogleCloudMlV1_Trial_ParameterResponseArgs

    FloatValue double
    Must be set if ParameterType is DOUBLE or DISCRETE.
    IntValue string
    Must be set if ParameterType is INTEGER
    Parameter string
    The name of the parameter.
    StringValue string
    Must be set if ParameterTypeis CATEGORICAL
    FloatValue float64
    Must be set if ParameterType is DOUBLE or DISCRETE.
    IntValue string
    Must be set if ParameterType is INTEGER
    Parameter string
    The name of the parameter.
    StringValue string
    Must be set if ParameterTypeis CATEGORICAL
    floatValue Double
    Must be set if ParameterType is DOUBLE or DISCRETE.
    intValue String
    Must be set if ParameterType is INTEGER
    parameter String
    The name of the parameter.
    stringValue String
    Must be set if ParameterTypeis CATEGORICAL
    floatValue number
    Must be set if ParameterType is DOUBLE or DISCRETE.
    intValue string
    Must be set if ParameterType is INTEGER
    parameter string
    The name of the parameter.
    stringValue string
    Must be set if ParameterTypeis CATEGORICAL
    float_value float
    Must be set if ParameterType is DOUBLE or DISCRETE.
    int_value str
    Must be set if ParameterType is INTEGER
    parameter str
    The name of the parameter.
    string_value str
    Must be set if ParameterTypeis CATEGORICAL
    floatValue Number
    Must be set if ParameterType is DOUBLE or DISCRETE.
    intValue String
    Must be set if ParameterType is INTEGER
    parameter String
    The name of the parameter.
    stringValue String
    Must be set if ParameterTypeis CATEGORICAL

    GoogleCloudMlV1__Measurement, GoogleCloudMlV1__MeasurementArgs

    Metrics List<Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_Measurement_Metric>
    Provides a list of metrics that act as inputs into the objective function.
    StepCount string
    The number of steps a machine learning model has been trained for. Must be non-negative.
    Metrics []GoogleCloudMlV1_Measurement_Metric
    Provides a list of metrics that act as inputs into the objective function.
    StepCount string
    The number of steps a machine learning model has been trained for. Must be non-negative.
    metrics List<GoogleCloudMlV1_Measurement_Metric>
    Provides a list of metrics that act as inputs into the objective function.
    stepCount String
    The number of steps a machine learning model has been trained for. Must be non-negative.
    metrics GoogleCloudMlV1_Measurement_Metric[]
    Provides a list of metrics that act as inputs into the objective function.
    stepCount string
    The number of steps a machine learning model has been trained for. Must be non-negative.
    metrics Sequence[GoogleCloudMlV1Measurement_Metric]
    Provides a list of metrics that act as inputs into the objective function.
    step_count str
    The number of steps a machine learning model has been trained for. Must be non-negative.
    metrics List<Property Map>
    Provides a list of metrics that act as inputs into the objective function.
    stepCount String
    The number of steps a machine learning model has been trained for. Must be non-negative.

    GoogleCloudMlV1__MeasurementResponse, GoogleCloudMlV1__MeasurementResponseArgs

    ElapsedTime string
    Time that the trial has been running at the point of this measurement.
    Metrics List<Pulumi.GoogleNative.Ml.V1.Inputs.GoogleCloudMlV1_Measurement_MetricResponse>
    Provides a list of metrics that act as inputs into the objective function.
    StepCount string
    The number of steps a machine learning model has been trained for. Must be non-negative.
    ElapsedTime string
    Time that the trial has been running at the point of this measurement.
    Metrics []GoogleCloudMlV1_Measurement_MetricResponse
    Provides a list of metrics that act as inputs into the objective function.
    StepCount string
    The number of steps a machine learning model has been trained for. Must be non-negative.
    elapsedTime String
    Time that the trial has been running at the point of this measurement.
    metrics List<GoogleCloudMlV1_Measurement_MetricResponse>
    Provides a list of metrics that act as inputs into the objective function.
    stepCount String
    The number of steps a machine learning model has been trained for. Must be non-negative.
    elapsedTime string
    Time that the trial has been running at the point of this measurement.
    metrics GoogleCloudMlV1_Measurement_MetricResponse[]
    Provides a list of metrics that act as inputs into the objective function.
    stepCount string
    The number of steps a machine learning model has been trained for. Must be non-negative.
    elapsed_time str
    Time that the trial has been running at the point of this measurement.
    metrics Sequence[GoogleCloudMlV1Measurement_MetricResponse]
    Provides a list of metrics that act as inputs into the objective function.
    step_count str
    The number of steps a machine learning model has been trained for. Must be non-negative.
    elapsedTime String
    Time that the trial has been running at the point of this measurement.
    metrics List<Property Map>
    Provides a list of metrics that act as inputs into the objective function.
    stepCount String
    The number of steps a machine learning model has been trained for. Must be non-negative.

    TrialState, TrialStateArgs

    StateUnspecified
    STATE_UNSPECIFIEDThe trial state is unspecified.
    Requested
    REQUESTEDIndicates that a specific trial has been requested, but it has not yet been suggested by the service.
    Active
    ACTIVEIndicates that the trial has been suggested.
    Completed
    COMPLETEDIndicates that the trial is done, and either has a final_measurement set, or is marked as trial_infeasible.
    Stopping
    STOPPINGIndicates that the trial should stop according to the service.
    TrialStateStateUnspecified
    STATE_UNSPECIFIEDThe trial state is unspecified.
    TrialStateRequested
    REQUESTEDIndicates that a specific trial has been requested, but it has not yet been suggested by the service.
    TrialStateActive
    ACTIVEIndicates that the trial has been suggested.
    TrialStateCompleted
    COMPLETEDIndicates that the trial is done, and either has a final_measurement set, or is marked as trial_infeasible.
    TrialStateStopping
    STOPPINGIndicates that the trial should stop according to the service.
    StateUnspecified
    STATE_UNSPECIFIEDThe trial state is unspecified.
    Requested
    REQUESTEDIndicates that a specific trial has been requested, but it has not yet been suggested by the service.
    Active
    ACTIVEIndicates that the trial has been suggested.
    Completed
    COMPLETEDIndicates that the trial is done, and either has a final_measurement set, or is marked as trial_infeasible.
    Stopping
    STOPPINGIndicates that the trial should stop according to the service.
    StateUnspecified
    STATE_UNSPECIFIEDThe trial state is unspecified.
    Requested
    REQUESTEDIndicates that a specific trial has been requested, but it has not yet been suggested by the service.
    Active
    ACTIVEIndicates that the trial has been suggested.
    Completed
    COMPLETEDIndicates that the trial is done, and either has a final_measurement set, or is marked as trial_infeasible.
    Stopping
    STOPPINGIndicates that the trial should stop according to the service.
    STATE_UNSPECIFIED
    STATE_UNSPECIFIEDThe trial state is unspecified.
    REQUESTED
    REQUESTEDIndicates that a specific trial has been requested, but it has not yet been suggested by the service.
    ACTIVE
    ACTIVEIndicates that the trial has been suggested.
    COMPLETED
    COMPLETEDIndicates that the trial is done, and either has a final_measurement set, or is marked as trial_infeasible.
    STOPPING
    STOPPINGIndicates that the trial should stop according to the service.
    "STATE_UNSPECIFIED"
    STATE_UNSPECIFIEDThe trial state is unspecified.
    "REQUESTED"
    REQUESTEDIndicates that a specific trial has been requested, but it has not yet been suggested by the service.
    "ACTIVE"
    ACTIVEIndicates that the trial has been suggested.
    "COMPLETED"
    COMPLETEDIndicates that the trial is done, and either has a final_measurement set, or is marked as trial_infeasible.
    "STOPPING"
    STOPPINGIndicates that the trial should stop according to the service.

    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