1. Custom Domain Configuration for ML Model APIs


    To configure a custom domain for your ML model APIs, you need to have a domain available and use the appropriate cloud services to map this domain to your APIs. Here we will use Azure as an example, but the process is similar for AWS and GCP.


    1. Create a DNS zone for your custom domain if you haven't already. This will allow you to manage the DNS records related to your domain in Azure.

    2. Deploy your ML model with Azure Machine Learning or a similar service, making sure that it is exposed as a web service with an API endpoint.

    3. Use Azure's CDN (Content Delivery Network) to create a front door for your APIs with a custom domain. This will also provide additional benefits like caching, SSL termination, and improved load times globally.

    4. Validate the custom domain by creating a CNAME record in your DNS zone pointing to the Azure CDN endpoint or directly to your API endpoint, depending on your setup.

    5. Once the domain is validated, you'll be able to use the custom domain in place of the generic Azure endpoint for your APIs.

    Below is a program that demonstrates how you might set up a custom domain for your APIs in Azure using Pulumi:

    import pulumi import pulumi_azure_native as azure_native # Replace these variables with your own values domain_name = "yourcustomdomain.com" unique_cdn_name = "uniquecdnname" # Note: The CDN endpoint name must be globally unique resource_group_name = "your-resource-group" api_endpoint = "your-api-endpoint.azurewebsites.net" # Replace with your API endpoint # Create a DNS Zone for your custom domain dns_zone = azure_native.network.DnsZone("dnsZone", resource_group_name=resource_group_name, zone_name=domain_name, # Additional parameters may be needed depending on your specific requirements ) # Deploy CDN profile cdn_profile = azure_native.cdn.Profile("cdnProfile", resource_group_name=resource_group_name, location="Global", sku=azure_native.cdn.SkuArgs(name=azure_native.cdn.SkuName.STANDARD_MICROSOFT), # Additional parameters may be needed depending on your specific requirements ) # Deploy CDN endpoint linked to your ML Model API cdn_endpoint = azure_native.cdn.Endpoint("cdnEndpoint", resource_group_name=resource_group_name, profile_name=cdn_profile.name, endpoint_name=unique_cdn_name, is_https_allowed=True, is_http_allowed=False, # We disable HTTP to enforce the use of HTTPS origin_host_header=api_endpoint, # Here you define your API endpoint origins=[azure_native.cdn.DeepCreatedOriginArgs( name="apiOrigin", host_name=api_endpoint, https_port=443, # Assuming your API uses the standard HTTPS port )], # Additional parameters may be needed depending on your specific requirements ) # CNAME record to map the custom domain to the CDN endpoint cname_record = azure_native.network.RecordSet("cnameRecord", record_type="CNAME", resource_group_name=resource_group_name, zone_name=dns_zone.name, relative_record_set_name="api", ttl=300, c_name_record=azure_native.network.CNameRecordArgs( cname=cdn_endpoint.host_name.apply(lambda name: f"{name}.azureedge.net"), ), # Additional parameters may be needed depending on your specific requirements ) # Once you have created the DNS zone and the CDN, you should go to your domain registrar # and update the nameservers with the ones provided by Azure, or delegate your subdomain # to this DNS zone if you're setting up a subdomain. pulumi.export("cname_record", cname_record.fqdn)

    Explanation of Resources:

    • DnsZone: This resource represents a DNS zone where you manage the DNS records for your domain within Azure.

    • Profile: This represents a CDN profile in Azure, serving as a container for CDN endpoints and providing caching and acceleration features.

    • Endpoint: This is a specific CDN endpoint that represents the CDN's entry point for your content. Here, it's configured to point to your API endpoint.

    • RecordSet: This is a DNS record within the DNS zone created earlier, specifically a CNAME record used to map a subdomain to the Azure CDN endpoint.

    This program sets up the DNS and CDN configuration needed to use a custom domain for ML model APIs. After the DNS zone is configured and the CNAME record is created to point to the CDN endpoint, you need to ensure that the DNS settings at your domain registrar are updated accordingly, which might involve changing the nameserver records or creating a DNS delegation for a subdomain.

    The exported cname_record provides the fully qualified domain name for the CNAME record, and you use it to validate that the DNS settings are correct and the custom domain is properly mapped to your ML Model APIs through Azure's CDN.