1. Managing Permissions for Azure Cognitive Services


    In Azure Cognitive Services, managing permissions involves setting up appropriate access controls to restrict who can use the Cognitive Services resources. This typically includes configuring network access restrictions, assigning roles to users or service principals, deploying services within private networks when necessary, and enforcing authentication mechanisms.

    To manage permissions and access control for an Azure Cognitive Services resource with Pulumi, you would generally work with the following:

    1. Azure Cognitive Services Account: This resource represents a Cognitive Services account on Azure. Access control and permissions are managed on this level, as it acts as a container for your cognitive services.

    2. Network Access Control Lists (ACLs): These can restrict access to your Cognitive Services account by setting IP rules, virtual network rules, public network access, and more.

    3. Role-Based Access Control (RBAC): Azure allows you to assign roles to users, groups, and service principals at different scopes (e.g., subscription, resource group, resource). Roles such as Contributor, Reader, or Cognitive Services User can be assigned to control what actions an identity can perform.

    4. Private Endpoints: Using Azure Private Link, you can secure the connection to your Cognitive Services account from within a virtual network.

    Below is a Pulumi program in Python that sets up a Cognitive Services Account with restricted network access, implements a private endpoint, and could be extended to manage user permissions through role assignments.

    import pulumi import pulumi_azure_native as azure_native from pulumi_azure_native import cognitiveservices # Create a new resource group, assuming one doesn't already exist to hold the Cognitive Services Account resource_group = azure_native.resources.ResourceGroup('myResourceGroup') # Create a new Cognitive Services Account with network access restrictions cognitive_services_account = cognitiveservices.Account('myCognitiveServicesAccount', resource_group_name=resource_group.name, kind='CognitiveServices', # Specify the kind of cognitive service sku={'name': 'S1'}, # Specify the pricing tier; S1 is used here as an example location=resource_group.location, properties={ 'networkAcls': { 'defaultAction': 'Deny', # Deny access by default 'ipRules': [{"value": "IP_ADDRESS"}], # Replace 'IP_ADDRESS' with the allowed IP address # Add more rules as needed }, # Add other properties as needed } ) # Optionally, create a private endpoint connection to the Cognitive Services Account for secure access private_endpoint_connection = cognitiveservices.PrivateEndpointConnection('myPrivateEndpointConnection', account_name=cognitive_services_account.name, resource_group_name=resource_group.name, private_endpoint_connection_name='myPrivateEndpoint', # Name your private endpoint # The following properties configure the private endpoint and link it to the Cognitive Services Account properties={ 'groupIds': ['cognitiveservices'], 'privateLinkServiceConnectionState': { 'status': 'Approved', 'description': 'Auto-approved connection' } } ) # Export the Cognitive Services Account endpoint URL pulumi.export('cognitive_services_endpoint', cognitive_services_account.endpoint_url)

    In the above program:

    • We create a new Azure Cognitive Services Account, specifying the kind and sku which represent the type of cognitive services and pricing tier respectively.
    • The networkAcls property restricts access by allowing only specified IP addresses.
    • Optionally, a PrivateEndpointConnection resource is declared for secure access inside a virtual network.

    When you run this Pulumi program, it will configure Azure Cognitive Services with the specified permissions and network restrictions. Always make sure to replace placeholders like 'IP_ADDRESS' with actual values from your setup.

    Keep in mind this is a foundational example. To fully manage permissions, you would also use Pulumi to assign RBAC roles for finer-grained access control over who can access the Cognitive Services resources. This typically involves using Azure AD with Pulumi's azure_native.authorization module to assign roles to different identities.