pulumi-azure-kotlin/com.pulumi.azure.machinelearning.kotlin/ComputeClusterArgs

ComputeClusterArgs

data class ComputeClusterArgs(val description: Output<String>? = null, val identity: Output<ComputeClusterIdentityArgs>? = null, val localAuthEnabled: Output<Boolean>? = null, val location: Output<String>? = null, val machineLearningWorkspaceId: Output<String>? = null, val name: Output<String>? = null, val nodePublicIpEnabled: Output<Boolean>? = null, val scaleSettings: Output<ComputeClusterScaleSettingsArgs>? = null, val ssh: Output<ComputeClusterSshArgs>? = null, val sshPublicAccessEnabled: Output<Boolean>? = null, val subnetResourceId: Output<String>? = null, val tags: Output<Map<String, String>>? = null, val vmPriority: Output<String>? = null, val vmSize: Output<String>? = null) : ConvertibleToJava<ComputeClusterArgs>

Manages a Machine Learning Compute Cluster. NOTE: At this point in time the resource cannot be updated (not supported by the backend Azure Go SDK). Therefore it can only be created and deleted, not updated. At the moment, there is also no possibility to specify ssh User Account Credentials to ssh into the compute cluster.

Example Usage

import * as pulumi from "@pulumi/pulumi";
import * as azure from "@pulumi/azure";
const current = azure.core.getClientConfig({});
const example = new azure.core.ResourceGroup("example", {
    name: "example-rg",
    location: "west europe",
    tags: {
        stage: "example",
    },
});
const exampleInsights = new azure.appinsights.Insights("example", {
    name: "example-ai",
    location: example.location,
    resourceGroupName: example.name,
    applicationType: "web",
});
const exampleKeyVault = new azure.keyvault.KeyVault("example", {
    name: "example-kv",
    location: example.location,
    resourceGroupName: example.name,
    tenantId: current.then(current => current.tenantId),
    skuName: "standard",
    purgeProtectionEnabled: true,
});
const exampleAccount = new azure.storage.Account("example", {
    name: "examplesa",
    location: example.location,
    resourceGroupName: example.name,
    accountTier: "Standard",
    accountReplicationType: "LRS",
});
const exampleWorkspace = new azure.machinelearning.Workspace("example", {
    name: "example-mlw",
    location: example.location,
    resourceGroupName: example.name,
    applicationInsightsId: exampleInsights.id,
    keyVaultId: exampleKeyVault.id,
    storageAccountId: exampleAccount.id,
    identity: {
        type: "SystemAssigned",
    },
});
const exampleVirtualNetwork = new azure.network.VirtualNetwork("example", {
    name: "example-vnet",
    addressSpaces: ["10&#46;1&#46;0&#46;0/16"],
    location: example.location,
    resourceGroupName: example.name,
});
const exampleSubnet = new azure.network.Subnet("example", {
    name: "example-subnet",
    resourceGroupName: example.name,
    virtualNetworkName: exampleVirtualNetwork.name,
    addressPrefixes: ["10&#46;1&#46;0&#46;0/24"],
});
const test = new azure.machinelearning.ComputeCluster("test", {
    name: "example",
    location: example.location,
    vmPriority: "LowPriority",
    vmSize: "Standard_DS2_v2",
    machineLearningWorkspaceId: exampleWorkspace.id,
    subnetResourceId: exampleSubnet.id,
    scaleSettings: {
        minNodeCount: 0,
        maxNodeCount: 1,
        scaleDownNodesAfterIdleDuration: "PT30S",
    },
    identity: {
        type: "SystemAssigned",
    },
});
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import pulumi
import pulumi_azure as azure
current = azure.core.get_client_config()
example = azure.core.ResourceGroup("example",
    name="example-rg",
    location="west europe",
    tags={
        "stage": "example",
    })
example_insights = azure.appinsights.Insights("example",
    name="example-ai",
    location=example.location,
    resource_group_name=example.name,
    application_type="web")
example_key_vault = azure.keyvault.KeyVault("example",
    name="example-kv",
    location=example.location,
    resource_group_name=example.name,
    tenant_id=current.tenant_id,
    sku_name="standard",
    purge_protection_enabled=True)
example_account = azure.storage.Account("example",
    name="examplesa",
    location=example.location,
    resource_group_name=example.name,
    account_tier="Standard",
    account_replication_type="LRS")
example_workspace = azure.machinelearning.Workspace("example",
    name="example-mlw",
    location=example.location,
    resource_group_name=example.name,
    application_insights_id=example_insights.id,
    key_vault_id=example_key_vault.id,
    storage_account_id=example_account.id,
    identity={
        "type": "SystemAssigned",
    })
example_virtual_network = azure.network.VirtualNetwork("example",
    name="example-vnet",
    address_spaces=["10&#46;1&#46;0&#46;0/16"],
    location=example.location,
    resource_group_name=example.name)
example_subnet = azure.network.Subnet("example",
    name="example-subnet",
    resource_group_name=example.name,
    virtual_network_name=example_virtual_network.name,
    address_prefixes=["10&#46;1&#46;0&#46;0/24"])
test = azure.machinelearning.ComputeCluster("test",
    name="example",
    location=example.location,
    vm_priority="LowPriority",
    vm_size="Standard_DS2_v2",
    machine_learning_workspace_id=example_workspace.id,
    subnet_resource_id=example_subnet.id,
    scale_settings={
        "min_node_count": 0,
        "max_node_count": 1,
        "scale_down_nodes_after_idle_duration": "PT30S",
    },
    identity={
        "type": "SystemAssigned",
    })
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using System.Collections.Generic;
using System.Linq;
using Pulumi;
using Azure = Pulumi.Azure;
return await Deployment.RunAsync(() =>
{
    var current = Azure.Core.GetClientConfig.Invoke();
    var example = new Azure.Core.ResourceGroup("example", new()
    {
        Name = "example-rg",
        Location = "west europe",
        Tags =
        {
            { "stage", "example" },
        },
    });
    var exampleInsights = new Azure.AppInsights.Insights("example", new()
    {
        Name = "example-ai",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationType = "web",
    });
    var exampleKeyVault = new Azure.KeyVault.KeyVault("example", new()
    {
        Name = "example-kv",
        Location = example.Location,
        ResourceGroupName = example.Name,
        TenantId = current.Apply(getClientConfigResult => getClientConfigResult.TenantId),
        SkuName = "standard",
        PurgeProtectionEnabled = true,
    });
    var exampleAccount = new Azure.Storage.Account("example", new()
    {
        Name = "examplesa",
        Location = example.Location,
        ResourceGroupName = example.Name,
        AccountTier = "Standard",
        AccountReplicationType = "LRS",
    });
    var exampleWorkspace = new Azure.MachineLearning.Workspace("example", new()
    {
        Name = "example-mlw",
        Location = example.Location,
        ResourceGroupName = example.Name,
        ApplicationInsightsId = exampleInsights.Id,
        KeyVaultId = exampleKeyVault.Id,
        StorageAccountId = exampleAccount.Id,
        Identity = new Azure.MachineLearning.Inputs.WorkspaceIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });
    var exampleVirtualNetwork = new Azure.Network.VirtualNetwork("example", new()
    {
        Name = "example-vnet",
        AddressSpaces = new[]
        {
            "10.1.0.0/16",
        },
        Location = example.Location,
        ResourceGroupName = example.Name,
    });
    var exampleSubnet = new Azure.Network.Subnet("example", new()
    {
        Name = "example-subnet",
        ResourceGroupName = example.Name,
        VirtualNetworkName = exampleVirtualNetwork.Name,
        AddressPrefixes = new[]
        {
            "10.1.0.0/24",
        },
    });
    var test = new Azure.MachineLearning.ComputeCluster("test", new()
    {
        Name = "example",
        Location = example.Location,
        VmPriority = "LowPriority",
        VmSize = "Standard_DS2_v2",
        MachineLearningWorkspaceId = exampleWorkspace.Id,
        SubnetResourceId = exampleSubnet.Id,
        ScaleSettings = new Azure.MachineLearning.Inputs.ComputeClusterScaleSettingsArgs
        {
            MinNodeCount = 0,
            MaxNodeCount = 1,
            ScaleDownNodesAfterIdleDuration = "PT30S",
        },
        Identity = new Azure.MachineLearning.Inputs.ComputeClusterIdentityArgs
        {
            Type = "SystemAssigned",
        },
    });
});
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package main
import (
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/appinsights"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/core"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/keyvault"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/machinelearning"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/network"
	"github.com/pulumi/pulumi-azure/sdk/v6/go/azure/storage"
	"github.com/pulumi/pulumi/sdk/v3/go/pulumi"
)
func main() {
	pulumi.Run(func(ctx *pulumi.Context) error {
		current, err := core.GetClientConfig(ctx, map[string]interface{}{}, nil)
		if err != nil {
			return err
		}
		example, err := core.NewResourceGroup(ctx, "example", &core.ResourceGroupArgs{
			Name:     pulumi.String("example-rg"),
			Location: pulumi.String("west europe"),
			Tags: pulumi.StringMap{
				"stage": pulumi.String("example"),
			},
		})
		if err != nil {
			return err
		}
		exampleInsights, err := appinsights.NewInsights(ctx, "example", &appinsights.InsightsArgs{
			Name:              pulumi.String("example-ai"),
			Location:          example.Location,
			ResourceGroupName: example.Name,
			ApplicationType:   pulumi.String("web"),
		})
		if err != nil {
			return err
		}
		exampleKeyVault, err := keyvault.NewKeyVault(ctx, "example", &keyvault.KeyVaultArgs{
			Name:                   pulumi.String("example-kv"),
			Location:               example.Location,
			ResourceGroupName:      example.Name,
			TenantId:               pulumi.String(current.TenantId),
			SkuName:                pulumi.String("standard"),
			PurgeProtectionEnabled: pulumi.Bool(true),
		})
		if err != nil {
			return err
		}
		exampleAccount, err := storage.NewAccount(ctx, "example", &storage.AccountArgs{
			Name:                   pulumi.String("examplesa"),
			Location:               example.Location,
			ResourceGroupName:      example.Name,
			AccountTier:            pulumi.String("Standard"),
			AccountReplicationType: pulumi.String("LRS"),
		})
		if err != nil {
			return err
		}
		exampleWorkspace, err := machinelearning.NewWorkspace(ctx, "example", &machinelearning.WorkspaceArgs{
			Name:                  pulumi.String("example-mlw"),
			Location:              example.Location,
			ResourceGroupName:     example.Name,
			ApplicationInsightsId: exampleInsights.ID(),
			KeyVaultId:            exampleKeyVault.ID(),
			StorageAccountId:      exampleAccount.ID(),
			Identity: &machinelearning.WorkspaceIdentityArgs{
				Type: pulumi.String("SystemAssigned"),
			},
		})
		if err != nil {
			return err
		}
		exampleVirtualNetwork, err := network.NewVirtualNetwork(ctx, "example", &network.VirtualNetworkArgs{
			Name: pulumi.String("example-vnet"),
			AddressSpaces: pulumi.StringArray{
				pulumi.String("10.1.0.0/16"),
			},
			Location:          example.Location,
			ResourceGroupName: example.Name,
		})
		if err != nil {
			return err
		}
		exampleSubnet, err := network.NewSubnet(ctx, "example", &network.SubnetArgs{
			Name:               pulumi.String("example-subnet"),
			ResourceGroupName:  example.Name,
			VirtualNetworkName: exampleVirtualNetwork.Name,
			AddressPrefixes: pulumi.StringArray{
				pulumi.String("10.1.0.0/24"),
			},
		})
		if err != nil {
			return err
		}
		_, err = machinelearning.NewComputeCluster(ctx, "test", &machinelearning.ComputeClusterArgs{
			Name:                       pulumi.String("example"),
			Location:                   example.Location,
			VmPriority:                 pulumi.String("LowPriority"),
			VmSize:                     pulumi.String("Standard_DS2_v2"),
			MachineLearningWorkspaceId: exampleWorkspace.ID(),
			SubnetResourceId:           exampleSubnet.ID(),
			ScaleSettings: &machinelearning.ComputeClusterScaleSettingsArgs{
				MinNodeCount:                    pulumi.Int(0),
				MaxNodeCount:                    pulumi.Int(1),
				ScaleDownNodesAfterIdleDuration: pulumi.String("PT30S"),
			},
			Identity: &machinelearning.ComputeClusterIdentityArgs{
				Type: pulumi.String("SystemAssigned"),
			},
		})
		if err != nil {
			return err
		}
		return nil
	})
}
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package generated_program;
import com.pulumi.Context;
import com.pulumi.Pulumi;
import com.pulumi.core.Output;
import com.pulumi.azure.core.CoreFunctions;
import com.pulumi.azure.core.ResourceGroup;
import com.pulumi.azure.core.ResourceGroupArgs;
import com.pulumi.azure.appinsights.Insights;
import com.pulumi.azure.appinsights.InsightsArgs;
import com.pulumi.azure.keyvault.KeyVault;
import com.pulumi.azure.keyvault.KeyVaultArgs;
import com.pulumi.azure.storage.Account;
import com.pulumi.azure.storage.AccountArgs;
import com.pulumi.azure.machinelearning.Workspace;
import com.pulumi.azure.machinelearning.WorkspaceArgs;
import com.pulumi.azure.machinelearning.inputs.WorkspaceIdentityArgs;
import com.pulumi.azure.network.VirtualNetwork;
import com.pulumi.azure.network.VirtualNetworkArgs;
import com.pulumi.azure.network.Subnet;
import com.pulumi.azure.network.SubnetArgs;
import com.pulumi.azure.machinelearning.ComputeCluster;
import com.pulumi.azure.machinelearning.ComputeClusterArgs;
import com.pulumi.azure.machinelearning.inputs.ComputeClusterScaleSettingsArgs;
import com.pulumi.azure.machinelearning.inputs.ComputeClusterIdentityArgs;
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 current = CoreFunctions.getClientConfig();
        var example = new ResourceGroup("example", ResourceGroupArgs.builder()
            .name("example-rg")
            .location("west europe")
            .tags(Map.of("stage", "example"))
            .build());
        var exampleInsights = new Insights("exampleInsights", InsightsArgs.builder()
            .name("example-ai")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationType("web")
            .build());
        var exampleKeyVault = new KeyVault("exampleKeyVault", KeyVaultArgs.builder()
            .name("example-kv")
            .location(example.location())
            .resourceGroupName(example.name())
            .tenantId(current.applyValue(getClientConfigResult -> getClientConfigResult.tenantId()))
            .skuName("standard")
            .purgeProtectionEnabled(true)
            .build());
        var exampleAccount = new Account("exampleAccount", AccountArgs.builder()
            .name("examplesa")
            .location(example.location())
            .resourceGroupName(example.name())
            .accountTier("Standard")
            .accountReplicationType("LRS")
            .build());
        var exampleWorkspace = new Workspace("exampleWorkspace", WorkspaceArgs.builder()
            .name("example-mlw")
            .location(example.location())
            .resourceGroupName(example.name())
            .applicationInsightsId(exampleInsights.id())
            .keyVaultId(exampleKeyVault.id())
            .storageAccountId(exampleAccount.id())
            .identity(WorkspaceIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .build());
        var exampleVirtualNetwork = new VirtualNetwork("exampleVirtualNetwork", VirtualNetworkArgs.builder()
            .name("example-vnet")
            .addressSpaces("10.1.0.0/16")
            .location(example.location())
            .resourceGroupName(example.name())
            .build());
        var exampleSubnet = new Subnet("exampleSubnet", SubnetArgs.builder()
            .name("example-subnet")
            .resourceGroupName(example.name())
            .virtualNetworkName(exampleVirtualNetwork.name())
            .addressPrefixes("10.1.0.0/24")
            .build());
        var test = new ComputeCluster("test", ComputeClusterArgs.builder()
            .name("example")
            .location(example.location())
            .vmPriority("LowPriority")
            .vmSize("Standard_DS2_v2")
            .machineLearningWorkspaceId(exampleWorkspace.id())
            .subnetResourceId(exampleSubnet.id())
            .scaleSettings(ComputeClusterScaleSettingsArgs.builder()
                .minNodeCount(0)
                .maxNodeCount(1)
                .scaleDownNodesAfterIdleDuration("PT30S")
                .build())
            .identity(ComputeClusterIdentityArgs.builder()
                .type("SystemAssigned")
                .build())
            .build());
    }
}
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resources:
  example:
    type: azure:core:ResourceGroup
    properties:
      name: example-rg
      location: west europe
      tags:
        stage: example
  exampleInsights:
    type: azure:appinsights:Insights
    name: example
    properties:
      name: example-ai
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationType: web
  exampleKeyVault:
    type: azure:keyvault:KeyVault
    name: example
    properties:
      name: example-kv
      location: ${example.location}
      resourceGroupName: ${example.name}
      tenantId: ${current.tenantId}
      skuName: standard
      purgeProtectionEnabled: true
  exampleAccount:
    type: azure:storage:Account
    name: example
    properties:
      name: examplesa
      location: ${example.location}
      resourceGroupName: ${example.name}
      accountTier: Standard
      accountReplicationType: LRS
  exampleWorkspace:
    type: azure:machinelearning:Workspace
    name: example
    properties:
      name: example-mlw
      location: ${example.location}
      resourceGroupName: ${example.name}
      applicationInsightsId: ${exampleInsights.id}
      keyVaultId: ${exampleKeyVault.id}
      storageAccountId: ${exampleAccount.id}
      identity:
        type: SystemAssigned
  exampleVirtualNetwork:
    type: azure:network:VirtualNetwork
    name: example
    properties:
      name: example-vnet
      addressSpaces:
        - 10.1.0.0/16
      location: ${example.location}
      resourceGroupName: ${example.name}
  exampleSubnet:
    type: azure:network:Subnet
    name: example
    properties:
      name: example-subnet
      resourceGroupName: ${example.name}
      virtualNetworkName: ${exampleVirtualNetwork.name}
      addressPrefixes:
        - 10.1.0.0/24
  test:
    type: azure:machinelearning:ComputeCluster
    properties:
      name: example
      location: ${example.location}
      vmPriority: LowPriority
      vmSize: Standard_DS2_v2
      machineLearningWorkspaceId: ${exampleWorkspace.id}
      subnetResourceId: ${exampleSubnet.id}
      scaleSettings:
        minNodeCount: 0
        maxNodeCount: 1
        scaleDownNodesAfterIdleDuration: PT30S
      identity:
        type: SystemAssigned
variables:
  current:
    fn::invoke:
      function: azure:core:getClientConfig
      arguments: {}
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Import

Machine Learning Compute Clusters can be imported using the resource id, e.g.

$ pulumi import azure:machinelearning/computeCluster:ComputeCluster example /subscriptions/00000000-0000-0000-0000-000000000000/resourceGroups/resGroup1/providers/Microsoft.MachineLearningServices/workspaces/workspace1/computes/cluster1
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Constructors

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constructor(description: Output<String>? = null, identity: Output<ComputeClusterIdentityArgs>? = null, localAuthEnabled: Output<Boolean>? = null, location: Output<String>? = null, machineLearningWorkspaceId: Output<String>? = null, name: Output<String>? = null, nodePublicIpEnabled: Output<Boolean>? = null, scaleSettings: Output<ComputeClusterScaleSettingsArgs>? = null, ssh: Output<ComputeClusterSshArgs>? = null, sshPublicAccessEnabled: Output<Boolean>? = null, subnetResourceId: Output<String>? = null, tags: Output<Map<String, String>>? = null, vmPriority: Output<String>? = null, vmSize: Output<String>? = null)

Properties

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val description: Output<String>? = null

The description of the Machine Learning compute. Changing this forces a new Machine Learning Compute Cluster to be created.

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val identity: Output<ComputeClusterIdentityArgs>? = null

An identity block as defined below.

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val localAuthEnabled: Output<Boolean>? = null

Whether local authentication methods is enabled. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.

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val location: Output<String>? = null

The Azure Region where the Machine Learning Compute Cluster should exist. Changing this forces a new Machine Learning Compute Cluster to be created.

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val machineLearningWorkspaceId: Output<String>? = null

The ID of the Machine Learning Workspace. Changing this forces a new Machine Learning Compute Cluster to be created.

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val name: Output<String>? = null

The name which should be used for this Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.

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val nodePublicIpEnabled: Output<Boolean>? = null

Whether the compute cluster will have a public ip. Defaults to true. Changing this forces a new Machine Learning Compute Cluster to be created.

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val scaleSettings: Output<ComputeClusterScaleSettingsArgs>? = null

A scale_settings block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created.

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val ssh: Output<ComputeClusterSshArgs>? = null

Credentials for an administrator user account that will be created on each compute node. A ssh block as defined below. Changing this forces a new Machine Learning Compute Cluster to be created.

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val sshPublicAccessEnabled: Output<Boolean>? = null

A boolean value indicating whether enable the public SSH port. Defaults to false. Changing this forces a new Machine Learning Compute Cluster to be created.

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val subnetResourceId: Output<String>? = null

The ID of the Subnet that the Compute Cluster should reside in. Changing this forces a new Machine Learning Compute Cluster to be created.

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val tags: Output<Map<String, String>>? = null

A mapping of tags which should be assigned to the Machine Learning Compute Cluster. Changing this forces a new Machine Learning Compute Cluster to be created.

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val vmPriority: Output<String>? = null

The priority of the VM. Changing this forces a new Machine Learning Compute Cluster to be created. Accepted values are Dedicated and LowPriority.

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val vmSize: Output<String>? = null

The size of the VM. Changing this forces a new Machine Learning Compute Cluster to be created.

Functions

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open override fun toJava(): ComputeClusterArgs