confluentcloud.Environment

Example Usage

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

const prod = new confluentcloud.Environment("prod", {
    displayName: "Production",
    streamGovernance: {
        "package": "ESSENTIALS",
    },
});

import pulumi
import pulumi_confluentcloud as confluentcloud

prod = confluentcloud.Environment("prod",
    display_name="Production",
    stream_governance={
        "package": "ESSENTIALS",
    })

package main

import (
	"github.com/pulumi/pulumi-confluentcloud/sdk/v2/go/confluentcloud"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)

func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		_, err := confluentcloud.NewEnvironment(ctx, "prod", &confluentcloud.EnvironmentArgs{
			DisplayName: pulumi.String("Production"),
			StreamGovernance: &confluentcloud.EnvironmentStreamGovernanceArgs{
				Package: pulumi.String("ESSENTIALS"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}

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

return await Deployment.RunAsync(() => 
{
    var prod = new ConfluentCloud.Environment("prod", new()
    {
        DisplayName = "Production",
        StreamGovernance = new ConfluentCloud.Inputs.EnvironmentStreamGovernanceArgs
        {
            Package = "ESSENTIALS",
        },
    });

});

package generated_program;

import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.confluentcloud.Environment;
import com.pulumi.confluentcloud.EnvironmentArgs;
import com.pulumi.confluentcloud.inputs.EnvironmentStreamGovernanceArgs;
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 prod = new Environment("prod", EnvironmentArgs.builder()
            .displayName("Production")
            .streamGovernance(EnvironmentStreamGovernanceArgs.builder()
                .package_("ESSENTIALS")
                .build())
            .build());

    }
}

resources:
  prod:
    type: confluentcloud:Environment
    properties:
      displayName: Production
      streamGovernance:
        package: ESSENTIALS

Getting Started

The following end-to-end examples might help to get started with confluentcloud.Environment resource:

• basic-kafka-acls: Basic Kafka cluster with authorization using ACLs
• basic-kafka-acls-with-alias: Basic Kafka cluster with authorization using ACLs
• standard-kafka-acls: Standard Kafka cluster with authorization using ACLs
• standard-kafka-rbac: Standard Kafka cluster with authorization using RBAC
• dedicated-public-kafka-acls: Dedicated Kafka cluster that is accessible over the public internet with authorization using ACLs
• dedicated-public-kafka-rbac: Dedicated Kafka cluster that is accessible over the public internet with authorization using RBAC
• dedicated-privatelink-aws-kafka-acls: Dedicated Kafka cluster on AWS that is accessible via PrivateLink connections with authorization using ACLs
• dedicated-privatelink-aws-kafka-rbac: Dedicated Kafka cluster on AWS that is accessible via PrivateLink connections with authorization using RBAC
• dedicated-privatelink-azure-kafka-rbac: Dedicated Kafka cluster on Azure that is accessible via PrivateLink connections with authorization using RBAC
• dedicated-privatelink-azure-kafka-acls: Dedicated Kafka cluster on Azure that is accessible via PrivateLink connections with authorization using ACLs
• dedicated-private-service-connect-gcp-kafka-acls: Dedicated Kafka cluster on GCP that is accessible via Private Service Connect connections with authorization using ACLs
• dedicated-private-service-connect-gcp-kafka-rbac: Dedicated Kafka cluster on GCP that is accessible via Private Service Connect connections with authorization using RBAC
• dedicated-vnet-peering-azure-kafka-acls: Dedicated Kafka cluster on Azure that is accessible via VPC Peering connections with authorization using ACLs
• dedicated-vnet-peering-azure-kafka-rbac: Dedicated Kafka cluster on Azure that is accessible via VPC Peering connections with authorization using RBAC
• dedicated-vpc-peering-aws-kafka-acls: Dedicated Kafka cluster on AWS that is accessible via VPC Peering connections with authorization using ACLs
• dedicated-vpc-peering-aws-kafka-rbac: Dedicated Kafka cluster on AWS that is accessible via VPC Peering connections with authorization using RBAC
• dedicated-vpc-peering-gcp-kafka-acls: Dedicated Kafka cluster on GCP that is accessible via VPC Peering connections with authorization using ACLs
• dedicated-vpc-peering-gcp-kafka-rbac: Dedicated Kafka cluster on GCP that is accessible via VPC Peering connections with authorization using RBAC
• dedicated-transit-gateway-attachment-aws-kafka-acls: Dedicated Kafka cluster on AWS that is accessible via Transit Gateway Endpoint with authorization using ACLs
• dedicated-transit-gateway-attachment-aws-kafka-rbac: Dedicated Kafka cluster on AWS that is accessible via Transit Gateway Endpoint with authorization using RBAC
• enterprise-privatelinkattachment-aws-kafka-acls: Enterprise Kafka cluster on AWS that is accessible via PrivateLink connections with authorization using ACLs

Create Environment Resource

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

Constructor syntax

new Environment(name: string, args?: EnvironmentArgs, opts?: CustomResourceOptions);

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

@overload
def Environment(resource_name: str,
                opts: Optional[ResourceOptions] = None,
                display_name: Optional[str] = None,
                stream_governance: Optional[EnvironmentStreamGovernanceArgs] = None)

func NewEnvironment(ctx *Context, name string, args *EnvironmentArgs, opts ...ResourceOption) (*Environment, error)

public Environment(string name, EnvironmentArgs? args = null, CustomResourceOptions? opts = null)

public Environment(String name, EnvironmentArgs args)
public Environment(String name, EnvironmentArgs args, CustomResourceOptions options)

type: confluentcloud:Environment
properties: # The arguments to resource properties.
options: # Bag of options to control resource's behavior.

Parameters

Constructor example

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

var environmentResource = new ConfluentCloud.Environment("environmentResource", new()
{
    DisplayName = "string",
    StreamGovernance = new ConfluentCloud.Inputs.EnvironmentStreamGovernanceArgs
    {
        Package = "string",
    },
});

example, err := confluentcloud.NewEnvironment(ctx, "environmentResource", &confluentcloud.EnvironmentArgs{
	DisplayName: pulumi.String("string"),
	StreamGovernance: &confluentcloud.EnvironmentStreamGovernanceArgs{
		Package: pulumi.String("string"),
	},
})

var environmentResource = new Environment("environmentResource", EnvironmentArgs.builder()
    .displayName("string")
    .streamGovernance(EnvironmentStreamGovernanceArgs.builder()
        .package_("string")
        .build())
    .build());

environment_resource = confluentcloud.Environment("environmentResource",
    display_name="string",
    stream_governance={
        "package": "string",
    })

const environmentResource = new confluentcloud.Environment("environmentResource", {
    displayName: "string",
    streamGovernance: {
        "package": "string",
    },
});

type: confluentcloud:Environment
properties:
    displayName: string
    streamGovernance:
        package: string

Environment Resource Properties

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

Inputs

The Environment resource accepts the following input properties:

Outputs

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

Look up Existing Environment Resource

Get an existing Environment 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?: EnvironmentState, opts?: CustomResourceOptions): Environment

@staticmethod
def get(resource_name: str,
        id: str,
        opts: Optional[ResourceOptions] = None,
        display_name: Optional[str] = None,
        resource_name: Optional[str] = None,
        stream_governance: Optional[EnvironmentStreamGovernanceArgs] = None) -> Environment

func GetEnvironment(ctx *Context, name string, id IDInput, state *EnvironmentState, opts ...ResourceOption) (*Environment, error)

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

public static Environment get(String name, Output<String> id, EnvironmentState state, CustomResourceOptions options)

Resource lookup is not supported in YAML

Supporting Types

EnvironmentStreamGovernance, EnvironmentStreamGovernanceArgs

Import

You can import an Environment by using Environment ID, for example:

$ export CONFLUENT_CLOUD_API_KEY="<cloud_api_key>"

$ export CONFLUENT_CLOUD_API_SECRET="<cloud_api_secret>"

$ pulumi import confluentcloud:index/environment:Environment my_env env-abc123

!> Warning: Do not forget to delete terminal command history afterwards for security purposes.

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

Package Details

Repository

Confluent Cloud pulumi/pulumi-confluentcloud

License

Apache-2.0

Notes

This Pulumi package is based on the confluent Terraform Provider.