Google Cloud v9.0.0, Sep 18 25

Google Cloud v9.0.0 published on Thursday, Sep 18, 2025 by Pulumi

gcp.vertex.AiFeatureStoreIamPolicy

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Google Cloud v9.0.0 published on Thursday, Sep 18, 2025 by Pulumi

pulumi/pulumi-gcp

gcp.vertex.AiFeatureStoreIamPolicy: Authoritative. Sets the IAM policy for the featurestore and replaces any existing policy already attached.
gcp.vertex.AiFeatureStoreIamBinding: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the featurestore are preserved.
gcp.vertex.AiFeatureStoreIamMember: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestore are preserved.

A data source can be used to retrieve policy data in advent you do not need creation

gcp.vertex.AiFeatureStoreIamPolicy: Retrieves the IAM policy for the featurestore

Note: gcp.vertex.AiFeatureStoreIamPolicy cannot be used in conjunction with gcp.vertex.AiFeatureStoreIamBinding and gcp.vertex.AiFeatureStoreIamMember or they will fight over what your policy should be.

Note: gcp.vertex.AiFeatureStoreIamBinding resources can be used in conjunction with gcp.vertex.AiFeatureStoreIamMember resources only if they do not grant privilege to the same role.

gcp.vertex.AiFeatureStoreIamPolicy

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const admin = gcp.organizations.getIAMPolicy({
    bindings: [{
        role: "roles/viewer",
        members: ["user:jane@example.com"],
    }],
});
const policy = new gcp.vertex.AiFeatureStoreIamPolicy("policy", {
    project: featurestore.project,
    region: featurestore.region,
    featurestore: featurestore.name,
    policyData: admin.then(admin => admin.policyData),
});

import pulumi
import pulumi_gcp as gcp

admin = gcp.organizations.get_iam_policy(bindings=[{
    "role": "roles/viewer",
    "members": ["user:jane@example.com"],
}])
policy = gcp.vertex.AiFeatureStoreIamPolicy("policy",
    project=featurestore["project"],
    region=featurestore["region"],
    featurestore=featurestore["name"],
    policy_data=admin.policy_data)

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		admin, err := organizations.LookupIAMPolicy(ctx, &organizations.LookupIAMPolicyArgs{
			Bindings: []organizations.GetIAMPolicyBinding{
				{
					Role: "roles/viewer",
					Members: []string{
						"user:jane@example.com",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreIamPolicy(ctx, "policy", &vertex.AiFeatureStoreIamPolicyArgs{
			Project:      pulumi.Any(featurestore.Project),
			Region:       pulumi.Any(featurestore.Region),
			Featurestore: pulumi.Any(featurestore.Name),
			PolicyData:   pulumi.String(admin.PolicyData),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var admin = Gcp.Organizations.GetIAMPolicy.Invoke(new()
    {
        Bindings = new[]
        {
            new Gcp.Organizations.Inputs.GetIAMPolicyBindingInputArgs
            {
                Role = "roles/viewer",
                Members = new[]
                {
                    "user:jane@example.com",
                },
            },
        },
    });

    var policy = new Gcp.Vertex.AiFeatureStoreIamPolicy("policy", new()
    {
        Project = featurestore.Project,
        Region = featurestore.Region,
        Featurestore = featurestore.Name,
        PolicyData = admin.Apply(getIAMPolicyResult => getIAMPolicyResult.PolicyData),
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetIAMPolicyArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreIamPolicy;
import com.pulumi.gcp.vertex.AiFeatureStoreIamPolicyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var admin = OrganizationsFunctions.getIAMPolicy(GetIAMPolicyArgs.builder()
            .bindings(GetIAMPolicyBindingArgs.builder()
                .role("roles/viewer")
                .members("user:jane@example.com")
                .build())
            .build());

        var policy = new AiFeatureStoreIamPolicy("policy", AiFeatureStoreIamPolicyArgs.builder()
            .project(featurestore.project())
            .region(featurestore.region())
            .featurestore(featurestore.name())
            .policyData(admin.policyData())
            .build());

    }
}

resources:
  policy:
    type: gcp:vertex:AiFeatureStoreIamPolicy
    properties:
      project: ${featurestore.project}
      region: ${featurestore.region}
      featurestore: ${featurestore.name}
      policyData: ${admin.policyData}
variables:
  admin:
    fn::invoke:
      function: gcp:organizations:getIAMPolicy
      arguments:
        bindings:
          - role: roles/viewer
            members:
              - user:jane@example.com

gcp.vertex.AiFeatureStoreIamBinding

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const binding = new gcp.vertex.AiFeatureStoreIamBinding("binding", {
    project: featurestore.project,
    region: featurestore.region,
    featurestore: featurestore.name,
    role: "roles/viewer",
    members: ["user:jane@example.com"],
});

import pulumi
import pulumi_gcp as gcp

binding = gcp.vertex.AiFeatureStoreIamBinding("binding",
    project=featurestore["project"],
    region=featurestore["region"],
    featurestore=featurestore["name"],
    role="roles/viewer",
    members=["user:jane@example.com"])

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreIamBinding(ctx, "binding", &vertex.AiFeatureStoreIamBindingArgs{
			Project:      pulumi.Any(featurestore.Project),
			Region:       pulumi.Any(featurestore.Region),
			Featurestore: pulumi.Any(featurestore.Name),
			Role:         pulumi.String("roles/viewer"),
			Members: pulumi.StringArray{
				pulumi.String("user:jane@example.com"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var binding = new Gcp.Vertex.AiFeatureStoreIamBinding("binding", new()
    {
        Project = featurestore.Project,
        Region = featurestore.Region,
        Featurestore = featurestore.Name,
        Role = "roles/viewer",
        Members = new[]
        {
            "user:jane@example.com",
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreIamBinding;
import com.pulumi.gcp.vertex.AiFeatureStoreIamBindingArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var binding = new AiFeatureStoreIamBinding("binding", AiFeatureStoreIamBindingArgs.builder()
            .project(featurestore.project())
            .region(featurestore.region())
            .featurestore(featurestore.name())
            .role("roles/viewer")
            .members("user:jane@example.com")
            .build());

    }
}

resources:
  binding:
    type: gcp:vertex:AiFeatureStoreIamBinding
    properties:
      project: ${featurestore.project}
      region: ${featurestore.region}
      featurestore: ${featurestore.name}
      role: roles/viewer
      members:
        - user:jane@example.com

gcp.vertex.AiFeatureStoreIamMember

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const member = new gcp.vertex.AiFeatureStoreIamMember("member", {
    project: featurestore.project,
    region: featurestore.region,
    featurestore: featurestore.name,
    role: "roles/viewer",
    member: "user:jane@example.com",
});

import pulumi
import pulumi_gcp as gcp

member = gcp.vertex.AiFeatureStoreIamMember("member",
    project=featurestore["project"],
    region=featurestore["region"],
    featurestore=featurestore["name"],
    role="roles/viewer",
    member="user:jane@example.com")

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreIamMember(ctx, "member", &vertex.AiFeatureStoreIamMemberArgs{
			Project:      pulumi.Any(featurestore.Project),
			Region:       pulumi.Any(featurestore.Region),
			Featurestore: pulumi.Any(featurestore.Name),
			Role:         pulumi.String("roles/viewer"),
			Member:       pulumi.String("user:jane@example.com"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var member = new Gcp.Vertex.AiFeatureStoreIamMember("member", new()
    {
        Project = featurestore.Project,
        Region = featurestore.Region,
        Featurestore = featurestore.Name,
        Role = "roles/viewer",
        Member = "user:jane@example.com",
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreIamMember;
import com.pulumi.gcp.vertex.AiFeatureStoreIamMemberArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var member = new AiFeatureStoreIamMember("member", AiFeatureStoreIamMemberArgs.builder()
            .project(featurestore.project())
            .region(featurestore.region())
            .featurestore(featurestore.name())
            .role("roles/viewer")
            .member("user:jane@example.com")
            .build());

    }
}

resources:
  member:
    type: gcp:vertex:AiFeatureStoreIamMember
    properties:
      project: ${featurestore.project}
      region: ${featurestore.region}
      featurestore: ${featurestore.name}
      role: roles/viewer
      member: user:jane@example.com

This resource supports User Project Overrides.

IAM policy for Vertex AI Featurestore

Three different resources help you manage your IAM policy for Vertex AI Featurestore. Each of these resources serves a different use case:

gcp.vertex.AiFeatureStoreIamPolicy: Authoritative. Sets the IAM policy for the featurestore and replaces any existing policy already attached.
gcp.vertex.AiFeatureStoreIamBinding: Authoritative for a given role. Updates the IAM policy to grant a role to a list of members. Other roles within the IAM policy for the featurestore are preserved.
gcp.vertex.AiFeatureStoreIamMember: Non-authoritative. Updates the IAM policy to grant a role to a new member. Other members for the role for the featurestore are preserved.

A data source can be used to retrieve policy data in advent you do not need creation

gcp.vertex.AiFeatureStoreIamPolicy: Retrieves the IAM policy for the featurestore

Note: gcp.vertex.AiFeatureStoreIamPolicy cannot be used in conjunction with gcp.vertex.AiFeatureStoreIamBinding and gcp.vertex.AiFeatureStoreIamMember or they will fight over what your policy should be.

Note: gcp.vertex.AiFeatureStoreIamBinding resources can be used in conjunction with gcp.vertex.AiFeatureStoreIamMember resources only if they do not grant privilege to the same role.

gcp.vertex.AiFeatureStoreIamPolicy

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const admin = gcp.organizations.getIAMPolicy({
    bindings: [{
        role: "roles/viewer",
        members: ["user:jane@example.com"],
    }],
});
const policy = new gcp.vertex.AiFeatureStoreIamPolicy("policy", {
    project: featurestore.project,
    region: featurestore.region,
    featurestore: featurestore.name,
    policyData: admin.then(admin => admin.policyData),
});

import pulumi
import pulumi_gcp as gcp

admin = gcp.organizations.get_iam_policy(bindings=[{
    "role": "roles/viewer",
    "members": ["user:jane@example.com"],
}])
policy = gcp.vertex.AiFeatureStoreIamPolicy("policy",
    project=featurestore["project"],
    region=featurestore["region"],
    featurestore=featurestore["name"],
    policy_data=admin.policy_data)

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/organizations"
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		admin, err := organizations.LookupIAMPolicy(ctx, &organizations.LookupIAMPolicyArgs{
			Bindings: []organizations.GetIAMPolicyBinding{
				{
					Role: "roles/viewer",
					Members: []string{
						"user:jane@example.com",
					},
				},
			},
		}, nil)
		if err != nil {
			return err
		}
		_, err = vertex.NewAiFeatureStoreIamPolicy(ctx, "policy", &vertex.AiFeatureStoreIamPolicyArgs{
			Project:      pulumi.Any(featurestore.Project),
			Region:       pulumi.Any(featurestore.Region),
			Featurestore: pulumi.Any(featurestore.Name),
			PolicyData:   pulumi.String(admin.PolicyData),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var admin = Gcp.Organizations.GetIAMPolicy.Invoke(new()
    {
        Bindings = new[]
        {
            new Gcp.Organizations.Inputs.GetIAMPolicyBindingInputArgs
            {
                Role = "roles/viewer",
                Members = new[]
                {
                    "user:jane@example.com",
                },
            },
        },
    });

    var policy = new Gcp.Vertex.AiFeatureStoreIamPolicy("policy", new()
    {
        Project = featurestore.Project,
        Region = featurestore.Region,
        Featurestore = featurestore.Name,
        PolicyData = admin.Apply(getIAMPolicyResult => getIAMPolicyResult.PolicyData),
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.organizations.OrganizationsFunctions;
import com.pulumi.gcp.organizations.inputs.GetIAMPolicyArgs;
import com.pulumi.gcp.vertex.AiFeatureStoreIamPolicy;
import com.pulumi.gcp.vertex.AiFeatureStoreIamPolicyArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        final var admin = OrganizationsFunctions.getIAMPolicy(GetIAMPolicyArgs.builder()
            .bindings(GetIAMPolicyBindingArgs.builder()
                .role("roles/viewer")
                .members("user:jane@example.com")
                .build())
            .build());

        var policy = new AiFeatureStoreIamPolicy("policy", AiFeatureStoreIamPolicyArgs.builder()
            .project(featurestore.project())
            .region(featurestore.region())
            .featurestore(featurestore.name())
            .policyData(admin.policyData())
            .build());

    }
}

resources:
  policy:
    type: gcp:vertex:AiFeatureStoreIamPolicy
    properties:
      project: ${featurestore.project}
      region: ${featurestore.region}
      featurestore: ${featurestore.name}
      policyData: ${admin.policyData}
variables:
  admin:
    fn::invoke:
      function: gcp:organizations:getIAMPolicy
      arguments:
        bindings:
          - role: roles/viewer
            members:
              - user:jane@example.com

gcp.vertex.AiFeatureStoreIamBinding

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const binding = new gcp.vertex.AiFeatureStoreIamBinding("binding", {
    project: featurestore.project,
    region: featurestore.region,
    featurestore: featurestore.name,
    role: "roles/viewer",
    members: ["user:jane@example.com"],
});

import pulumi
import pulumi_gcp as gcp

binding = gcp.vertex.AiFeatureStoreIamBinding("binding",
    project=featurestore["project"],
    region=featurestore["region"],
    featurestore=featurestore["name"],
    role="roles/viewer",
    members=["user:jane@example.com"])

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreIamBinding(ctx, "binding", &vertex.AiFeatureStoreIamBindingArgs{
			Project:      pulumi.Any(featurestore.Project),
			Region:       pulumi.Any(featurestore.Region),
			Featurestore: pulumi.Any(featurestore.Name),
			Role:         pulumi.String("roles/viewer"),
			Members: pulumi.StringArray{
				pulumi.String("user:jane@example.com"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var binding = new Gcp.Vertex.AiFeatureStoreIamBinding("binding", new()
    {
        Project = featurestore.Project,
        Region = featurestore.Region,
        Featurestore = featurestore.Name,
        Role = "roles/viewer",
        Members = new[]
        {
            "user:jane@example.com",
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreIamBinding;
import com.pulumi.gcp.vertex.AiFeatureStoreIamBindingArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var binding = new AiFeatureStoreIamBinding("binding", AiFeatureStoreIamBindingArgs.builder()
            .project(featurestore.project())
            .region(featurestore.region())
            .featurestore(featurestore.name())
            .role("roles/viewer")
            .members("user:jane@example.com")
            .build());

    }
}

resources:
  binding:
    type: gcp:vertex:AiFeatureStoreIamBinding
    properties:
      project: ${featurestore.project}
      region: ${featurestore.region}
      featurestore: ${featurestore.name}
      role: roles/viewer
      members:
        - user:jane@example.com

gcp.vertex.AiFeatureStoreIamMember

import * as pulumi from "@pulumi/pulumi";
import * as gcp from "@pulumi/gcp";

const member = new gcp.vertex.AiFeatureStoreIamMember("member", {
    project: featurestore.project,
    region: featurestore.region,
    featurestore: featurestore.name,
    role: "roles/viewer",
    member: "user:jane@example.com",
});

import pulumi
import pulumi_gcp as gcp

member = gcp.vertex.AiFeatureStoreIamMember("member",
    project=featurestore["project"],
    region=featurestore["region"],
    featurestore=featurestore["name"],
    role="roles/viewer",
    member="user:jane@example.com")

package main

import (
	"github.com/pulumi/pulumi-gcp/sdk/v9/go/gcp/vertex"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := vertex.NewAiFeatureStoreIamMember(ctx, "member", &vertex.AiFeatureStoreIamMemberArgs{
			Project:      pulumi.Any(featurestore.Project),
			Region:       pulumi.Any(featurestore.Region),
			Featurestore: pulumi.Any(featurestore.Name),
			Role:         pulumi.String("roles/viewer"),
			Member:       pulumi.String("user:jane@example.com"),
		})
		if err != nil {
			return err
		}
		return nil
	})
}

using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Gcp = Pulumi.Gcp;

return await Deployment.RunAsync(() => 
{
    var member = new Gcp.Vertex.AiFeatureStoreIamMember("member", new()
    {
        Project = featurestore.Project,
        Region = featurestore.Region,
        Featurestore = featurestore.Name,
        Role = "roles/viewer",
        Member = "user:jane@example.com",
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.gcp.vertex.AiFeatureStoreIamMember;
import com.pulumi.gcp.vertex.AiFeatureStoreIamMemberArgs;
import java.util.List;
import java.util.ArrayList;
import java.util.Map;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Paths;

public class App {
    public static void main(String[] args) {
        Pulumi.run(App::stack);
    }

    public static void stack(Context ctx) {
        var member = new AiFeatureStoreIamMember("member", AiFeatureStoreIamMemberArgs.builder()
            .project(featurestore.project())
            .region(featurestore.region())
            .featurestore(featurestore.name())
            .role("roles/viewer")
            .member("user:jane@example.com")
            .build());

    }
}

resources:
  member:
    type: gcp:vertex:AiFeatureStoreIamMember
    properties:
      project: ${featurestore.project}
      region: ${featurestore.region}
      featurestore: ${featurestore.name}
      role: roles/viewer
      member: user:jane@example.com

Create AiFeatureStoreIamPolicy Resource

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

Constructor syntax

new AiFeatureStoreIamPolicy(name: string, args: AiFeatureStoreIamPolicyArgs, opts?: CustomResourceOptions);

@overload
def AiFeatureStoreIamPolicy(resource_name: str,
                            args: AiFeatureStoreIamPolicyArgs,
                            opts: Optional[ResourceOptions] = None)

@overload
def AiFeatureStoreIamPolicy(resource_name: str,
                            opts: Optional[ResourceOptions] = None,
                            featurestore: Optional[str] = None,
                            policy_data: Optional[str] = None,
                            project: Optional[str] = None,
                            region: Optional[str] = None)

func NewAiFeatureStoreIamPolicy(ctx *Context, name string, args AiFeatureStoreIamPolicyArgs, opts ...ResourceOption) (*AiFeatureStoreIamPolicy, error)

public AiFeatureStoreIamPolicy(string name, AiFeatureStoreIamPolicyArgs args, CustomResourceOptions? opts = null)

public AiFeatureStoreIamPolicy(String name, AiFeatureStoreIamPolicyArgs args)
public AiFeatureStoreIamPolicy(String name, AiFeatureStoreIamPolicyArgs args, CustomResourceOptions options)

type: gcp:vertex:AiFeatureStoreIamPolicy
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 AiFeatureStoreIamPolicyArgs: 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 AiFeatureStoreIamPolicyArgs: 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 AiFeatureStoreIamPolicyArgs: The arguments to resource properties.
opts ResourceOption: Bag of options to control resource's behavior.

name string: The unique name of the resource.
args AiFeatureStoreIamPolicyArgs: The arguments to resource properties.
opts CustomResourceOptions: Bag of options to control resource's behavior.

name String: The unique name of the resource.
args AiFeatureStoreIamPolicyArgs: 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 aiFeatureStoreIamPolicyResource = new Gcp.Vertex.AiFeatureStoreIamPolicy("aiFeatureStoreIamPolicyResource", new()
{
    Featurestore = "string",
    PolicyData = "string",
    Project = "string",
    Region = "string",
});

example, err := vertex.NewAiFeatureStoreIamPolicy(ctx, "aiFeatureStoreIamPolicyResource", &vertex.AiFeatureStoreIamPolicyArgs{
	Featurestore: pulumi.String("string"),
	PolicyData:   pulumi.String("string"),
	Project:      pulumi.String("string"),
	Region:       pulumi.String("string"),
})

var aiFeatureStoreIamPolicyResource = new AiFeatureStoreIamPolicy("aiFeatureStoreIamPolicyResource", AiFeatureStoreIamPolicyArgs.builder()
    .featurestore("string")
    .policyData("string")
    .project("string")
    .region("string")
    .build());

ai_feature_store_iam_policy_resource = gcp.vertex.AiFeatureStoreIamPolicy("aiFeatureStoreIamPolicyResource",
    featurestore="string",
    policy_data="string",
    project="string",
    region="string")

const aiFeatureStoreIamPolicyResource = new gcp.vertex.AiFeatureStoreIamPolicy("aiFeatureStoreIamPolicyResource", {
    featurestore: "string",
    policyData: "string",
    project: "string",
    region: "string",
});

type: gcp:vertex:AiFeatureStoreIamPolicy
properties:
    featurestore: string
    policyData: string
    project: string
    region: string

AiFeatureStoreIamPolicy 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 AiFeatureStoreIamPolicy resource accepts the following input properties:

Featurestore string: Used to find the parent resource to bind the IAM policy to
PolicyData string: The policy data generated by a gcp.organizations.getIAMPolicy data source.
Project string: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
Region string: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

Featurestore string: Used to find the parent resource to bind the IAM policy to
PolicyData string: The policy data generated by a gcp.organizations.getIAMPolicy data source.
Project string: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
Region string: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

featurestore String: Used to find the parent resource to bind the IAM policy to
policyData String: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project String: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region String: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

featurestore string: Used to find the parent resource to bind the IAM policy to
policyData string: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project string: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region string: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

featurestore str: Used to find the parent resource to bind the IAM policy to
policy_data str: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project str: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region str: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

featurestore String: Used to find the parent resource to bind the IAM policy to
policyData String: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project String: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region String: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

Outputs

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

Etag string: (Computed) The etag of the IAM policy.
Id string: The provider-assigned unique ID for this managed resource.

Etag string: (Computed) The etag of the IAM policy.
Id string: The provider-assigned unique ID for this managed resource.

etag String: (Computed) The etag of the IAM policy.
id String: The provider-assigned unique ID for this managed resource.

etag string: (Computed) The etag of the IAM policy.
id string: The provider-assigned unique ID for this managed resource.

etag str: (Computed) The etag of the IAM policy.
id str: The provider-assigned unique ID for this managed resource.

etag String: (Computed) The etag of the IAM policy.
id String: The provider-assigned unique ID for this managed resource.

Look up Existing AiFeatureStoreIamPolicy Resource

Get an existing AiFeatureStoreIamPolicy resource’s state with the given name, ID, and optional extra properties used to qualify the lookup.

public static get(name: string, id: Input<ID>, state?: AiFeatureStoreIamPolicyState, opts?: CustomResourceOptions): AiFeatureStoreIamPolicy

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        etag: Optional[str] = None,
        featurestore: Optional[str] = None,
        policy_data: Optional[str] = None,
        project: Optional[str] = None,
        region: Optional[str] = None) -> AiFeatureStoreIamPolicy

func GetAiFeatureStoreIamPolicy(ctx *Context, name string, id IDInput, state *AiFeatureStoreIamPolicyState, opts ...ResourceOption) (*AiFeatureStoreIamPolicy, error)

public static AiFeatureStoreIamPolicy Get(string name, Input<string> id, AiFeatureStoreIamPolicyState? state, CustomResourceOptions? opts = null)

public static AiFeatureStoreIamPolicy get(String name, Output<String> id, AiFeatureStoreIamPolicyState state, CustomResourceOptions options)

resources:  _:    type: gcp:vertex:AiFeatureStoreIamPolicy    get:      id: ${id}

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

resource_name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

name: The unique name of the resulting resource.
id: The unique provider ID of the resource to lookup.
state: Any extra arguments used during the lookup.
opts: A bag of options that control this resource's behavior.

The following state arguments are supported:

Etag string: (Computed) The etag of the IAM policy.
Featurestore string: Used to find the parent resource to bind the IAM policy to
PolicyData string: The policy data generated by a gcp.organizations.getIAMPolicy data source.
Project string: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
Region string: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

Etag string: (Computed) The etag of the IAM policy.
Featurestore string: Used to find the parent resource to bind the IAM policy to
PolicyData string: The policy data generated by a gcp.organizations.getIAMPolicy data source.
Project string: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
Region string: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

etag String: (Computed) The etag of the IAM policy.
featurestore String: Used to find the parent resource to bind the IAM policy to
policyData String: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project String: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region String: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

etag string: (Computed) The etag of the IAM policy.
featurestore string: Used to find the parent resource to bind the IAM policy to
policyData string: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project string: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region string: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

etag str: (Computed) The etag of the IAM policy.
featurestore str: Used to find the parent resource to bind the IAM policy to
policy_data str: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project str: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region str: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

etag String: (Computed) The etag of the IAM policy.
featurestore String: Used to find the parent resource to bind the IAM policy to
policyData String: The policy data generated by a gcp.organizations.getIAMPolicy data source.
project String: The ID of the project in which the resource belongs. If it is not provided, the project will be parsed from the identifier of the parent resource. If no project is provided in the parent identifier and no project is specified, the provider project is used.
region String: The region of the dataset. eg us-central1 Used to find the parent resource to bind the IAM policy to. If not specified, the value will be parsed from the identifier of the parent resource. If no region is provided in the parent identifier and no region is specified, it is taken from the provider configuration.

Import

For all import syntaxes, the “resource in question” can take any of the following forms:

projects/{{project}}/locations/{{region}}/featurestores/{{name}}
{{project}}/{{region}}/{{name}}
{{region}}/{{name}}
{{name}}

Any variables not passed in the import command will be taken from the provider configuration.

Vertex AI featurestore IAM resources can be imported using the resource identifiers, role, and member.

IAM member imports use space-delimited identifiers: the resource in question, the role, and the member identity, e.g.

$ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer user:jane@example.com"

IAM binding imports use space-delimited identifiers: the resource in question and the role, e.g.

$ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor "projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}} roles/viewer"

IAM policy imports use the identifier of the resource in question, e.g.

$ pulumi import gcp:vertex/aiFeatureStoreIamPolicy:AiFeatureStoreIamPolicy editor projects/{{project}}/locations/{{region}}/featurestores/{{featurestore}}

-> Custom Roles If you’re importing a IAM resource with a custom role, make sure to use the

full name of the custom role, e.g. [projects/my-project|organizations/my-org]/roles/my-custom-role.

To learn more about importing existing cloud resources, see Importing resources.

Package Details

Repository: Google Cloud (GCP) Classic pulumi/pulumi-gcp
License: Apache-2.0
Notes: This Pulumi package is based on the google-beta Terraform Provider.

Google Cloud v9.0.0 published on Thursday, Sep 18, 2025 by Pulumi

pulumi/pulumi-gcp

gcp.vertex.AiFeatureStoreIamPolicy

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gcp.vertex.AiFeatureStoreIamPolicy

gcp.vertex.AiFeatureStoreIamBinding

gcp.vertex.AiFeatureStoreIamMember

This resource supports User Project Overrides.

IAM policy for Vertex AI Featurestore

gcp.vertex.AiFeatureStoreIamPolicy

gcp.vertex.AiFeatureStoreIamBinding

gcp.vertex.AiFeatureStoreIamMember

Create AiFeatureStoreIamPolicy Resource

Constructor syntax

Parameters

Constructor example

AiFeatureStoreIamPolicy Resource Properties

Inputs

Outputs

Look up Existing AiFeatureStoreIamPolicy Resource

Import

Package Details

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