1. Global AI Services Routing with Azure DNS A Records


    Creating Azure DNS A Records to route traffic to AI Services or other types of services globally requires setting up a DNS Zone and configuring A Records to point to your service's IP addresses. In this case, we'll use the azure-native.network.Zone to create a DNS Zone and azure-native.network.RecordSet to add A Records.

    Azure DNS Zones manage the DNS records for a domain, and A Records are used to map a domain to the IP address of the computer hosting the domain. Traffic for AI services can be rerouted by updating these records accordingly.

    Here's the process:

    1. Create an Azure DNS Zone for your domain.
    2. Create A Records within that DNS Zone that point to the IPs of your AI services.

    Below is a Pulumi program in Python that demonstrates how to set up a DNS Zone and configure A Records for global routing to AI services.

    import pulumi from pulumi_azure_native import network # Replace "resource_group_name" with the name of your Azure Resource Group # Replace "example.com" with your domain resource_group_name = 'your_resource_group' domain_name = 'example.com' # Create a DNS Zone for the domain dns_zone = network.Zone("dns-zone", resource_group_name=resource_group_name, zone_name=domain_name) # Define A Records # Replace "ai_service_ips" with the public IPs of your AI services. ai_service_ips = ['', ''] # For each IP address, create an A Record in the DNS Zone for idx, ip in enumerate(ai_service_ips): record_name = f"service-{idx}" network.RecordSet(f"record-set-{idx}", resource_group_name=resource_group_name, zone_name=dns_zone.name, relative_record_set_name=record_name, record_type="A", ttl=300, # Time to Live of DNS record in seconds a_records=[network.ARecordArgs(ipv4_address=ip)]) # Exporting the DNS Zone name pulumi.export("dns_zone_name", dns_zone.name)

    In this program, we start by importing the required modules. Then, we create a DNS Zone for the domain by instantiating a network.Zone.

    Next, we define the IPs of our AI services in a list called ai_service_ips. In a production environment, these IPs would generally be the public endpoints of your AI services hosted on Azure or elsewhere.

    We then create A Records by iterating over the ai_service_ips list and creating a network.RecordSet for each IP address. We use a relative name for each record set, which could be something like service-0 for the first service, service-1 for the second, and so on. The ttl is set to 300 seconds, which means the DNS record will be cached for that duration.

    Finally, we export the DNS Zone name using pulumi.export. This output can be useful if you want to reference the DNS Zone name in other parts of your infrastructure as code or provide that information to another team that may need it.

    This is a simple program that creates one DNS Zone and multiple A Records for different AI service IPs. Depending on your exact use case, you might need to expand upon this—such as adding error handling, integrating with other services, or automating the update process when service IPs change.