Microsoft.ContainerRegistry registries 2020-11-01-preview

Bicep resource definition

The registries resource type can be deployed with operations that target:

• Resource groups - See resource group deployment commands

For a list of changed properties in each API version, see change log.

Resource format

To create a Microsoft.ContainerRegistry/registries resource, add the following Bicep to your template.

resource symbolicname 'Microsoft.ContainerRegistry/registries@2020-11-01-preview' = {
  name: 'string'
  location: 'string'
  tags: {
    tagName1: 'tagValue1'
    tagName2: 'tagValue2'
  }
  sku: {
    name: 'string'
  }
  identity: {
    principalId: 'string'
    tenantId: 'string'
    type: 'string'
    userAssignedIdentities: {}
  }
  properties: {
    adminUserEnabled: bool
    anonymousPullEnabled: bool
    dataEndpointEnabled: bool
    encryption: {
      keyVaultProperties: {
        identity: 'string'
        keyIdentifier: 'string'
      }
      status: 'string'
    }
    networkRuleBypassOptions: 'string'
    networkRuleSet: {
      defaultAction: 'string'
      ipRules: [
        {
          action: 'Allow'
          value: 'string'
        }
      ]
      virtualNetworkRules: [
        {
          action: 'Allow'
          id: 'string'
        }
      ]
    }
    policies: {
      quarantinePolicy: {
        status: 'string'
      }
      retentionPolicy: {
        days: int
        status: 'string'
      }
      trustPolicy: {
        status: 'string'
        type: 'Notary'
      }
    }
    publicNetworkAccess: 'string'
    zoneRedundancy: 'string'
  }
}

Property values

registries

IdentityProperties

RegistryProperties

EncryptionProperty

KeyVaultProperties

NetworkRuleSet

IPRule

VirtualNetworkRule

Policies

QuarantinePolicy

RetentionPolicy

TrustPolicy

Sku

Quickstart templates

The following quickstart templates deploy this resource type.

Template	Description
CI/CD using Jenkins on Azure Container Service (AKS)	Containers make it very easy for you to continuously build and deploy your applications. By orchestrating deployment of those containers using Kubernetes in Azure Container Service, you can achieve replicable, manageable clusters of containers. By setting up a continuous build to produce your container images and orchestration, you can increase the speed and reliability of your deployment.
AKS Cluster with a NAT Gateway and an Application Gateway	This sample shows how to a deploy an AKS cluster with NAT Gateway for outbound connections and an Application Gateway for inbound connections.
Create a Private AKS Cluster with a Public DNS Zone	This sample shows how to a deploy a private AKS cluster with a Public DNS Zone.
Creates a Container App and Environment with Registry	Create a Container App Environment with a basic Container App from an Azure Container Registry. It also deploys a Log Analytics Workspace to store logs.
Creates a Dapr pub-sub servicebus app using Container Apps	Create a Dapr pub-sub servicebus app using Container Apps.
Simple Azure Container Registry Template	A template for creating a new Azure Container Registry.
Azure Container Registry with Geo-replication Template	A template for creating a new Azure Container Registry with geo-replication
Azure Container Registry with Policies and Diagnostics	Azure Container Registry with Policies and Diagnostics (bicep)
Azure AI Studio basic setup	This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource.
Azure AI Studio basic setup	This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource.
Azure AI Studio with Microsoft Entra ID Authentication	This set of templates demonstrates how to set up Azure AI Studio with Microsoft Entra ID authentication for dependent resources, such as Azure AI Services and Azure Storage.
Azure Machine Learning end-to-end secure setup	This set of Bicep templates demonstrates how to set up Azure Machine Learning end-to-end in a secure set up. This reference implementation includes the Workspace, a compute cluster, compute instance and attached private AKS cluster.
Azure Machine Learning end-to-end secure setup (legacy)	This set of Bicep templates demonstrates how to set up Azure Machine Learning end-to-end in a secure set up. This reference implementation includes the Workspace, a compute cluster, compute instance and attached private AKS cluster.
Create an AKS compute target with a Private IP address	This template creates an AKS compute target in given Azure Machine Learning service workspace with a private IP address.
Create an Azure Machine Learning service workspace	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the minimal set of resources you require to get started with Azure Machine Learning.
Create an Azure Machine Learning service workspace (CMK)	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. The example shows how to configure Azure Machine Learning for encryption with a customer-managed encryption key.
Create an Azure Machine Learning service workspace (CMK)	This deployment template specifies how to create an Azure Machine Learning workspace with service-side encryption using your encryption keys.
Create an Azure Machine Learning service workspace (vnet)	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up.
Create an Azure Machine Learning service workspace (legacy)	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up.
AKS cluster with the Application Gateway Ingress Controller	This sample shows how to deploy an AKS cluster with Application Gateway, Application Gateway Ingress Controller, Azure Container Registry, Log Analytics and Key Vault
Build container images with ACR Tasks	This template uses DeploymentScript to orchestrate ACR to build your container image from code repo.
Import Container Images into ACR	This template leverages the Import ACR module from the bicep registry to import public container images into an Azure Container Registry.

ARM template resource definition

The registries resource type can be deployed with operations that target:

• Resource groups - See resource group deployment commands

For a list of changed properties in each API version, see change log.

Resource format

To create a Microsoft.ContainerRegistry/registries resource, add the following JSON to your template.

{
  "type": "Microsoft.ContainerRegistry/registries",
  "apiVersion": "2020-11-01-preview",
  "name": "string",
  "location": "string",
  "tags": {
    "tagName1": "tagValue1",
    "tagName2": "tagValue2"
  },
  "sku": {
    "name": "string"
  },
  "identity": {
    "principalId": "string",
    "tenantId": "string",
    "type": "string",
    "userAssignedIdentities": {}
  },
  "properties": {
    "adminUserEnabled": "bool",
    "anonymousPullEnabled": "bool",
    "dataEndpointEnabled": "bool",
    "encryption": {
      "keyVaultProperties": {
        "identity": "string",
        "keyIdentifier": "string"
      },
      "status": "string"
    },
    "networkRuleBypassOptions": "string",
    "networkRuleSet": {
      "defaultAction": "string",
      "ipRules": [
        {
          "action": "Allow",
          "value": "string"
        }
      ],
      "virtualNetworkRules": [
        {
          "action": "Allow",
          "id": "string"
        }
      ]
    },
    "policies": {
      "quarantinePolicy": {
        "status": "string"
      },
      "retentionPolicy": {
        "days": "int",
        "status": "string"
      },
      "trustPolicy": {
        "status": "string",
        "type": "Notary"
      }
    },
    "publicNetworkAccess": "string",
    "zoneRedundancy": "string"
  }
}

Property values

registries

IdentityProperties

RegistryProperties

EncryptionProperty

KeyVaultProperties

NetworkRuleSet

IPRule

VirtualNetworkRule

Policies

QuarantinePolicy

RetentionPolicy

TrustPolicy

Sku

Quickstart templates

The following quickstart templates deploy this resource type.

Template	Description
CI/CD using Jenkins on Azure Container Service (AKS)	Containers make it very easy for you to continuously build and deploy your applications. By orchestrating deployment of those containers using Kubernetes in Azure Container Service, you can achieve replicable, manageable clusters of containers. By setting up a continuous build to produce your container images and orchestration, you can increase the speed and reliability of your deployment.
AKS Cluster with a NAT Gateway and an Application Gateway	This sample shows how to a deploy an AKS cluster with NAT Gateway for outbound connections and an Application Gateway for inbound connections.
Create a Private AKS Cluster with a Public DNS Zone	This sample shows how to a deploy a private AKS cluster with a Public DNS Zone.
Creates a Container App and Environment with Registry	Create a Container App Environment with a basic Container App from an Azure Container Registry. It also deploys a Log Analytics Workspace to store logs.
Creates a Dapr pub-sub servicebus app using Container Apps	Create a Dapr pub-sub servicebus app using Container Apps.
Simple Azure Container Registry Template	A template for creating a new Azure Container Registry.
Azure Container Registry with Geo-replication Template	A template for creating a new Azure Container Registry with geo-replication
Azure Container Registry with Policies and Diagnostics	Azure Container Registry with Policies and Diagnostics (bicep)
Azure AI Studio basic setup	This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource.
Azure AI Studio basic setup	This set of templates demonstrates how to set up Azure AI Studio with the basic setup, meaning with public internet access enabled, Microsoft-managed keys for encryption and Microsoft-managed identity configuration for the AI resource.
Azure AI Studio with Microsoft Entra ID Authentication	This set of templates demonstrates how to set up Azure AI Studio with Microsoft Entra ID authentication for dependent resources, such as Azure AI Services and Azure Storage.
Azure Machine Learning end-to-end secure setup	This set of Bicep templates demonstrates how to set up Azure Machine Learning end-to-end in a secure set up. This reference implementation includes the Workspace, a compute cluster, compute instance and attached private AKS cluster.
Azure Machine Learning end-to-end secure setup (legacy)	This set of Bicep templates demonstrates how to set up Azure Machine Learning end-to-end in a secure set up. This reference implementation includes the Workspace, a compute cluster, compute instance and attached private AKS cluster.
Create an AKS compute target with a Private IP address	This template creates an AKS compute target in given Azure Machine Learning service workspace with a private IP address.
Create an Azure Machine Learning service workspace	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the minimal set of resources you require to get started with Azure Machine Learning.
Create an Azure Machine Learning service workspace (CMK)	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. The example shows how to configure Azure Machine Learning for encryption with a customer-managed encryption key.
Create an Azure Machine Learning service workspace (CMK)	This deployment template specifies how to create an Azure Machine Learning workspace with service-side encryption using your encryption keys.
Create an Azure Machine Learning service workspace (vnet)	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up.
Create an Azure Machine Learning service workspace (legacy)	This deployment template specifies an Azure Machine Learning workspace, and its associated resources including Azure Key Vault, Azure Storage, Azure Application Insights and Azure Container Registry. This configuration describes the set of resources you require to get started with Azure Machine Learning in a network isolated set up.
AKS cluster with the Application Gateway Ingress Controller	This sample shows how to deploy an AKS cluster with Application Gateway, Application Gateway Ingress Controller, Azure Container Registry, Log Analytics and Key Vault
Build container images with ACR Tasks	This template uses DeploymentScript to orchestrate ACR to build your container image from code repo.
Import Container Images into ACR	This template leverages the Import ACR module from the bicep registry to import public container images into an Azure Container Registry.

Terraform (AzAPI provider) resource definition

The registries resource type can be deployed with operations that target:

• Resource groups

For a list of changed properties in each API version, see change log.

Resource format

To create a Microsoft.ContainerRegistry/registries resource, add the following Terraform to your template.

resource "azapi_resource" "symbolicname" {
  type = "Microsoft.ContainerRegistry/registries@2020-11-01-preview"
  name = "string"
  location = "string"
  parent_id = "string"
  tags = {
    tagName1 = "tagValue1"
    tagName2 = "tagValue2"
  }
  identity {
    type = "string"
    identity_ids = []
  }
  body = jsonencode({
    properties = {
      adminUserEnabled = bool
      anonymousPullEnabled = bool
      dataEndpointEnabled = bool
      encryption = {
        keyVaultProperties = {
          identity = "string"
          keyIdentifier = "string"
        }
        status = "string"
      }
      networkRuleBypassOptions = "string"
      networkRuleSet = {
        defaultAction = "string"
        ipRules = [
          {
            action = "Allow"
            value = "string"
          }
        ]
        virtualNetworkRules = [
          {
            action = "Allow"
            id = "string"
          }
        ]
      }
      policies = {
        quarantinePolicy = {
          status = "string"
        }
        retentionPolicy = {
          days = int
          status = "string"
        }
        trustPolicy = {
          status = "string"
          type = "Notary"
        }
      }
      publicNetworkAccess = "string"
      zoneRedundancy = "string"
    }
    sku = {
      name = "string"
    }
  })
}

Property values

registries

IdentityProperties

RegistryProperties

EncryptionProperty

KeyVaultProperties

NetworkRuleSet

IPRule

VirtualNetworkRule

Policies

QuarantinePolicy

RetentionPolicy

TrustPolicy

Sku