Isolated Azure Functions Execution with PrivateLink for AI Processing

Question

Pulumi · Accepted Answer

To provide you with a Pulumi Python program for an isolated Azure Functions Execution with PrivateLink for AI Processing, we’ll follow these steps:

1. Create an Azure Function App with a dedicated plan to provide an isolated execution environment.
2. Configure the Azure Function App to connect to a VNET.
3. Create a Private Link Service and a Private Endpoint to facilitate secure, private connectivity to the Azure Function from other services within the VNET.
4. Process AI tasks within this isolated and secure environment.

We will use the `azure-native` Pulumi provider because it provides native access to all Azure resources and enables us to configure them with detailed settings, which is especially important for setting up networking and security features such as Private Link.

Now, let's walk through the Pulumi program to set up the infrastructure:

```python
import pulumi
from pulumi_azure_native import web
from pulumi_azure_native import network
from pulumi_azure_native import resources

# Step 1: Create a new Resource Group
resource_group = resources.ResourceGroup('rg')

# Step 2: Set up the App Service Plan for the Azure Function
#         The 'premium' SKU allows us to run the Function in an isolated environment
service_plan = web.AppServicePlan('service-plan',
    resource_group_name=resource_group.name,
    kind='FunctionApp',
    sku=web.SkuDescriptionArgs(
        tier='Premium',
        name='P1v2',
        size='P1v2',
        family='Pv2',
        capacity=1,
    ),
    reserved=True,  # This must be true for Linux plans
)

# Step 3: Create an Azure Function App
function_app = web.WebApp('function-app',
    resource_group_name=resource_group.name,
    server_farm_id=service_plan.id,
    kind='FunctionApp',
    site_config=web.SiteConfigArgs(
        app_settings=[
            web.NameValuePairArgs(name='FUNCTIONS_WORKER_RUNTIME', value='python'),
        ]
    ),
)

# Step 4: Set up a Virtual Network that the Function App will connect to
vnet = network.VirtualNetwork('virtual-network',
    resource_group_name=resource_group.name,
    address_space=network.AddressSpaceArgs(
        address_prefixes=['10.0.0.0/16'],
    ),
    subnets=[network.SubnetArgs(
        name='default',
        address_prefix='10.0.1.0/24',
        private_endpoint_network_policies="Disabled",
        private_link_service_network_policies="Enabled",
    )]
)

# Step 5: Create a Private Link Service that can be accessed within the VNET
private_link_service = network.PrivateLinkService('private-link-service',
    resource_group_name=resource_group.name,
    ip_configurations=[
        network.PrivateLinkServiceIPConfigurationArgs(
            name='MyPrivateLinkServiceIPConfiguration',
            private_ip_allocation_method='Dynamic',
            subnet=network.SubPropertyArgs(
                id=vnet.subnets[0].id,  # Link to the subnet created above
            ),
        ),
    ],
    auto_approval=network.AutoApprovalArgs(
        subscriptions=[resource_group.id],  # Enable auto-approval for the current subscription
    ),
    visibility=network.VisibilityArgs(
        subscriptions=[resource_group.id],  # Make the service visible to the current subscription
    ),
)

# Step 6: Create a Private Endpoint for secure access to the Azure Function
private_endpoint = network.PrivateEndpoint('private-endpoint',
    resource_group_name=resource_group.name,
    private_link_service_connections=[network.PrivateLinkServiceConnectionArgs(
        name="MyPrivateLinkServiceConnection",
        private_link_service_id=private_link_service.id,
        group_ids=['groupIdFromResource'] # Group ID will vary based on the resource you are connecting to
    )],
    subnet=network.SubnetArgs(
        id=vnet.subnets[0].id,  # Link to the subnet created above
    ),
)

pulumi.export('function_app_name', function_app.name)
pulumi.export('private_endpoint_id', private_endpoint.id)
```

This program sets up the following resources:

- A new **Resource Group** to contain all the resources.
- An **App Service Plan** configured with a premium SKU to run the Azure Function in an isolated environment.
- An **Azure Function App** which represents our serverless function service.
- A **Virtual Network** along with a subnet to host our services and enable our Function App to connect to other resources privately.
- A **Private Link Service** connected to our subnet, which allows secure private access to the Azure Function from within the VNET.
- A **Private Endpoint** to provide a secure connection to the Function App.

After deploying this code using Pulumi CLI, the Azure Functions will be running in an isolated environment, and access to the Azure Functions will be secured and routed privately using Azure Private Link. Remember that in a real-world scenario, you would need to set up appropriate network security, permissions, and potentially a NAT gateway for outbound connectivity from your Azure Functions within the VNET.