SSL Termination for AI Services with Azure Application Gateway

Question

Pulumi · Accepted Answer

To set up SSL Termination for AI Services with Azure Application Gateway, you need to perform a few steps. You'll start by creating an instance of Azure Application Gateway, which will act as a central point for managing traffic as it enters your network. The Application Gateway can terminate SSL connections, allowing you to offload this CPU-intensive task from your AI services. Additionally, it can provide other features such as routing, load balancing, and more.

In the Pulumi Python program below, I'll demonstrate how you can create an Application Gateway with SSL Termination. The program assumes you already have the necessary SSL certificate to be used for SSL Termination.

For this example, you would need to have your certificate data available, such as its content in Base64 format and its password if it's password-protected.

Here's an explaination of the resources being created in the code:
- `ApplicationGateway`: This is the Application Gateway resource that manages traffic to your AI services. We will configure it to have SSL termination using a provided SSL certificate.
- `ResourceGroup`: This is a logical container into which Azure resources are deployed and managed. It is used here to group all resources related to the Application Gateway.
- `PublicIPAddress`: We're creating a public IP for the Application Gateway to be accessible over the internet.
- `Subnet`: Application Gateway requires a dedicated subnet, so we're creating one within a virtual network.
- `SslCertificate`: This specifies the SSL certificate information for the SSL termination on the gateway.

Before running the code, you need to have a valid SSL certificate file and its password. In this example, we'll be using `ssl_cert_data` and `ssl_cert_password` – those would need to be replaced with your actual certificate details.

Below is the Pulumi program written in Python to set up an Azure Application Gateway with SSL Termination:

```python
import pulumi
import pulumi_azure_native as azure_native
from pulumi_azure_native import network

# Create an Azure Resource Group
resource_group = network.ResourceGroup("resourceGroup")

# Create a Public IP for our Application Gateway
public_ip = network.PublicIPAddress("publicIP",
    resource_group_name=resource_group.name,
    public_ip_allocation_method=network.IPAllocationMethod.STATIC,
    location=resource_group.location
)

# Create a Virtual Network and a Subnet for Application Gateway
vnet = network.VirtualNetwork("vnet",
    resource_group_name=resource_group.name,
    location=resource_group.location,
    address_space=network.AddressSpaceArgs(
        address_prefixes=["10.0.0.0/16"]
    )
)

subnet = network.Subnet("subnet",
    resource_group_name=resource_group.name,
    virtual_network_name=vnet.name,
    address_prefix="10.0.1.0/24",
    delegated=subnet=True
)

# Create an Application Gateway with SSL Termination
app_gateway = network.ApplicationGateway("appGateway",
    resource_group_name=resource_group.name,
    location=resource_group.location,
    sku=network.ApplicationGatewaySkuArgs(
        name=network.ApplicationGatewaySkuName.STANDARD_V2,
        tier=network.ApplicationGatewayTier.STANDARD_V2
    ),
    ssl_certificates=[network.ApplicationGatewaySslCertificateArgs(
        data=ssl_cert_data,  # Replace with your actual SSL certificate data in Base64 format
        password=ssl_cert_password,  # Replace with your actual certificate password if any
        name="sslCert"
    )],
    gateway_ip_configurations=[network.ApplicationGatewayIPConfigurationArgs(
        name="appGatewayConfig",
        subnet=network.SubResourceArgs(
            id=subnet.id
        )
    )],
    frontend_ip_configurations=[network.ApplicationGatewayFrontendIPConfigurationArgs(
        name="frontendIP",
        public_ip_address=network.SubResourceArgs(
            id=public_ip.id
        )
    )],
    frontend_ports=[network.ApplicationGatewayFrontendPortArgs(
        name="frontendPort",
        port=443
    )],
    http_listeners=[network.ApplicationGatewayHttpListenerArgs(
        name="listener",
        frontend_ip_configuration=network.SubResourceArgs(
            id=public_ip.id
        ),
        frontend_port=network.SubResourceArgs(
            id=443
        ),
        ssl_certificate=network.SubResourceArgs(
            id="sslCert"
        ),
        protocol=network.ApplicationGatewayProtocol.HTTPS
    )],
    request_routing_rules=[network.ApplicationGatewayRequestRoutingRuleArgs(
        name="routingRule",
        rule_type=network.ApplicationGatewayRequestRoutingRuleType.BASIC,
        http_listener=network.SubResourceArgs(
            id="listener"
        ),
        # Here you would configure the backend address pool, backend HTTP settings etc.
    )],
    # Additional configurations for backend pools, health probes etc.
)

# Output the public IP address of the Application Gateway
pulumi.export('appGatewayIp', public_ip.ip_address)

```

Make sure to replace `ssl_cert_data` and `ssl_cert_password` with your actual SSL certificate Base64 data and password.

This code sets up the Application Gateway to terminate SSL connections for incoming traffic and route it to the backend AI services. You would need to provide additional configurations for backend pools, health probes, and other settings based on your specific requirements for the AI services.

The IP address of the Application Gateway is exported at the end of the program and can be used to point a DNS record to enable access to the gateway over the internet.