published on Monday, Jul 20, 2026 by Volcengine
published on Monday, Jul 20, 2026 by Volcengine
Group basic information
Example Usage
import * as pulumi from "@pulumi/pulumi";
import * as volcenginecc from "@volcengine/pulumi-volcenginecc";
const kafkaGroupDemo = new volcenginecc.kafka.Group("KafkaGroupDemo", {
instanceId: "instance_id_xxxxxx",
groupId: "ccapi-test-2",
description: "test",
tags: [{
key: "env",
value: "test",
}],
});
import pulumi
import pulumi_volcenginecc as volcenginecc
kafka_group_demo = volcenginecc.kafka.Group("KafkaGroupDemo",
instance_id="instance_id_xxxxxx",
group_id="ccapi-test-2",
description="test",
tags=[{
"key": "env",
"value": "test",
}])
package main
import (
"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
"github.com/volcengine/pulumi-volcenginecc/sdk/go/volcenginecc/kafka"
)
func main() {
pulumi.Run(func(ctx *pulumi.Context) error {
_, err := kafka.NewGroup(ctx, "KafkaGroupDemo", &kafka.GroupArgs{
InstanceId: pulumi.String("instance_id_xxxxxx"),
GroupId: pulumi.String("ccapi-test-2"),
Description: pulumi.String("test"),
Tags: kafka.GroupTagArray{
&kafka.GroupTagArgs{
Key: pulumi.String("env"),
Value: pulumi.String("test"),
},
},
})
if err != nil {
return err
}
return nil
})
}
using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Volcenginecc = Volcengine.Pulumi.Volcenginecc;
return await Deployment.RunAsync(() =>
{
var kafkaGroupDemo = new Volcenginecc.Kafka.Group("KafkaGroupDemo", new()
{
InstanceId = "instance_id_xxxxxx",
GroupId = "ccapi-test-2",
Description = "test",
Tags = new[]
{
new Volcenginecc.Kafka.Inputs.GroupTagArgs
{
Key = "env",
Value = "test",
},
},
});
});
package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.volcengine.volcenginecc.kafka.Group;
import com.volcengine.volcenginecc.kafka.GroupArgs;
import com.pulumi.volcenginecc.kafka.inputs.GroupTagArgs;
import java.util.ArrayList;
import java.util.Arrays;
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 kafkaGroupDemo = new Group("kafkaGroupDemo", GroupArgs.builder()
.instanceId("instance_id_xxxxxx")
.groupId("ccapi-test-2")
.description("test")
.tags(GroupTagArgs.builder()
.key("env")
.value("test")
.build())
.build());
}
}
resources:
kafkaGroupDemo:
type: volcenginecc:kafka:Group
name: KafkaGroupDemo
properties:
instanceId: instance_id_xxxxxx
groupId: ccapi-test-2
description: test
tags:
- key: env
value: test
pulumi {
required_providers {
volcenginecc = {
source = "pulumi/volcenginecc"
}
}
}
resource "volcenginecc_kafka_group" "KafkaGroupDemo" {
instance_id = "instance_id_xxxxxx"
group_id = "ccapi-test-2"
description = "test"
tags {
key = "env"
value = "test"
}
}
Create Group Resource
Resources are created with functions called constructors. To learn more about declaring and configuring resources, see Resources.
Constructor syntax
new Group(name: string, args: GroupArgs, opts?: CustomResourceOptions);@overload
def Group(resource_name: str,
args: GroupArgs,
opts: Optional[ResourceOptions] = None)
@overload
def Group(resource_name: str,
opts: Optional[ResourceOptions] = None,
group_id: Optional[str] = None,
instance_id: Optional[str] = None,
description: Optional[str] = None,
tags: Optional[Sequence[GroupTagArgs]] = None)func NewGroup(ctx *Context, name string, args GroupArgs, opts ...ResourceOption) (*Group, error)public Group(string name, GroupArgs args, CustomResourceOptions? opts = null)type: volcenginecc:kafka:Group
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.
resource "volcenginecc_kafka_group" "name" {
# resource properties
}Parameters
- name string
- The unique name of the resource.
- args GroupArgs
- 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 GroupArgs
- 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 GroupArgs
- The arguments to resource properties.
- opts ResourceOption
- Bag of options to control resource's behavior.
- name string
- The unique name of the resource.
- args GroupArgs
- The arguments to resource properties.
- opts CustomResourceOptions
- Bag of options to control resource's behavior.
- name String
- The unique name of the resource.
- args GroupArgs
- 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 examplegroupResourceResourceFromKafkagroup = new Volcenginecc.Kafka.Group("examplegroupResourceResourceFromKafkagroup", new()
{
GroupId = "string",
InstanceId = "string",
Description = "string",
Tags = new[]
{
new Volcenginecc.Kafka.Inputs.GroupTagArgs
{
Key = "string",
Value = "string",
},
},
});
example, err := kafka.NewGroup(ctx, "examplegroupResourceResourceFromKafkagroup", &kafka.GroupArgs{
GroupId: pulumi.String("string"),
InstanceId: pulumi.String("string"),
Description: pulumi.String("string"),
Tags: kafka.GroupTagArray{
&kafka.GroupTagArgs{
Key: pulumi.String("string"),
Value: pulumi.String("string"),
},
},
})
resource "volcenginecc_kafka_group" "examplegroupResourceResourceFromKafkagroup" {
group_id = "string"
instance_id = "string"
description = "string"
tags {
key = "string"
value = "string"
}
}
var examplegroupResourceResourceFromKafkagroup = new com.volcengine.volcenginecc.kafka.Group("examplegroupResourceResourceFromKafkagroup", com.volcengine.volcenginecc.kafka.GroupArgs.builder()
.groupId("string")
.instanceId("string")
.description("string")
.tags(GroupTagArgs.builder()
.key("string")
.value("string")
.build())
.build());
examplegroup_resource_resource_from_kafkagroup = volcenginecc.kafka.Group("examplegroupResourceResourceFromKafkagroup",
group_id="string",
instance_id="string",
description="string",
tags=[{
"key": "string",
"value": "string",
}])
const examplegroupResourceResourceFromKafkagroup = new volcenginecc.kafka.Group("examplegroupResourceResourceFromKafkagroup", {
groupId: "string",
instanceId: "string",
description: "string",
tags: [{
key: "string",
value: "string",
}],
});
type: volcenginecc:kafka:Group
properties:
description: string
groupId: string
instanceId: string
tags:
- key: string
value: string
Group 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 Group resource accepts the following input properties:
- Group
Id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- Instance
Id string - Instance ID
- Description string
- Consumer group description, up to 128 characters
-
List<Volcengine.
Group Tag> - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- Group
Id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- Instance
Id string - Instance ID
- Description string
- Consumer group description, up to 128 characters
-
[]Group
Tag Args - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- group_
id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance_
id string - Instance ID
- description string
- Consumer group description, up to 128 characters
- list(object)
- Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- group
Id String - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance
Id String - Instance ID
- description String
- Consumer group description, up to 128 characters
-
List<Group
Tag> - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- group
Id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance
Id string - Instance ID
- description string
- Consumer group description, up to 128 characters
-
Group
Tag[] - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- group_
id str - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance_
id str - Instance ID
- description str
- Consumer group description, up to 128 characters
-
Sequence[Group
Tag Args] - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- group
Id String - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance
Id String - Instance ID
- description String
- Consumer group description, up to 128 characters
- List<Property Map>
- Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
Outputs
All input properties are implicitly available as output properties. Additionally, the Group resource produces the following output properties:
- Balance
Algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- Id string
- The provider-assigned unique ID for this managed resource.
- Protocol
Type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- State string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- Balance
Algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- Id string
- The provider-assigned unique ID for this managed resource.
- Protocol
Type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- State string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- balance_
algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- id string
- The provider-assigned unique ID for this managed resource.
- protocol_
type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- balance
Algorithm String - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- id String
- The provider-assigned unique ID for this managed resource.
- protocol
Type String - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state String
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- balance
Algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- id string
- The provider-assigned unique ID for this managed resource.
- protocol
Type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- balance_
algorithm str - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- id str
- The provider-assigned unique ID for this managed resource.
- protocol_
type str - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state str
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- balance
Algorithm String - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- id String
- The provider-assigned unique ID for this managed resource.
- protocol
Type String - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state String
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
Look up Existing Group Resource
Get an existing Group 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?: GroupState, opts?: CustomResourceOptions): Group@staticmethod
def get(resource_name: str,
id: str,
opts: Optional[ResourceOptions] = None,
balance_algorithm: Optional[str] = None,
description: Optional[str] = None,
group_id: Optional[str] = None,
instance_id: Optional[str] = None,
protocol_type: Optional[str] = None,
state: Optional[str] = None,
tags: Optional[Sequence[GroupTagArgs]] = None) -> Groupfunc GetGroup(ctx *Context, name string, id IDInput, state *GroupState, opts ...ResourceOption) (*Group, error)public static Group Get(string name, Input<string> id, GroupState? state, CustomResourceOptions? opts = null)public static Group get(String name, Output<String> id, GroupState state, CustomResourceOptions options)resources: _: type: volcenginecc:kafka:Group get: id: ${id}import {
to = volcenginecc_kafka_group.example
id = "${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.
- Balance
Algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- Description string
- Consumer group description, up to 128 characters
- Group
Id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- Instance
Id string - Instance ID
- Protocol
Type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- State string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
-
List<Volcengine.
Group Tag> - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- Balance
Algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- Description string
- Consumer group description, up to 128 characters
- Group
Id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- Instance
Id string - Instance ID
- Protocol
Type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- State string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
-
[]Group
Tag Args - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- balance_
algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- description string
- Consumer group description, up to 128 characters
- group_
id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance_
id string - Instance ID
- protocol_
type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- list(object)
- Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- balance
Algorithm String - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- description String
- Consumer group description, up to 128 characters
- group
Id String - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance
Id String - Instance ID
- protocol
Type String - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state String
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
-
List<Group
Tag> - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- balance
Algorithm string - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- description string
- Consumer group description, up to 128 characters
- group
Id string - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance
Id string - Instance ID
- protocol
Type string - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state string
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
-
Group
Tag[] - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- balance_
algorithm str - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- description str
- Consumer group description, up to 128 characters
- group_
id str - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance_
id str - Instance ID
- protocol_
type str - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state str
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
-
Sequence[Group
Tag Args] - Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
- balance
Algorithm String - Algorithm for assigning partitions to consumers, specified by the consumer client. If using custom partition consumption, this field may be empty
- description String
- Consumer group description, up to 128 characters
- group
Id String - Consumer group ID to be created - Length: 3–128 characters - Can contain uppercase and lowercase letters, numbers, hyphens (-), special character (@), and underscores (_) - Must include at least one letter or number
- instance
Id String - Instance ID
- protocol
Type String - Consumer group protocol type - If using the standard Kafka consumer protocol, displays as consumer - If using another protocol type, displays the corresponding protocol name, for example, connect when using Kafka-Connector - If using custom partition consumption, this field may be empty
- state String
- Consumer group status - PreparingRebalance: preparing for consumption - CompletingRebalance: assigning partitions - Stable: consuming - Empty: not consuming - Dead: expired
- List<Property Map>
- Group tags Important Note: When using SetNestedAttribute, you must fully define all attributes of its nested structure. Incomplete definitions may cause Terraform to detect unexpected differences during plan comparison, triggering unnecessary resource updates and affecting resource stability and predictability.
Supporting Types
GroupTag, GroupTagArgs
Import
$ pulumi import volcenginecc:kafka/group:Group example "instance_id|group_id"
To learn more about importing existing cloud resources, see Importing resources.
Package Details
- Repository
- volcenginecc volcengine/pulumi-volcenginecc
- License
- MPL-2.0
- Notes
- This Pulumi package is based on the
volcengineccTerraform Provider.
published on Monday, Jul 20, 2026 by Volcengine