1. Subdomain Setup for Model Deployment Services


    Setting up a subdomain for model deployment services involves creating a custom domain name that points to the server or service where your model is deployed. In cloud infrastructure, this typically involves a few steps:

    1. Registering a domain name: You usually do this outside of your cloud provider, through a domain registrar.
    2. Creating a DNS record: This is a configuration on your DNS provider to point your subdomain (like model.yourdomain.com) to your deployment service.
    3. Configuring your cloud service: Making sure your cloud service (where the model is deployed) accepts traffic for that subdomain.

    The Pulumi resources that you use depend on which cloud provider you're deploying your model with. For example, with AWS, you might use the Route 53 service for DNS and Elastic Beanstalk or an EC2 instance for the deployment. With Azure, you could use Azure DNS and an Azure App Service.

    Here's a program that sets up a subdomain for a model deployment on AWS using Route 53 and an AWS S3 website. This example assumes that you have a static website hosted on S3 and want to set up a subdomain to point to it. This static website could serve as a simple model inference endpoint using AWS Lambda, API Gateway, and S3 for hosting the model and the static HTML. If you're deploying a more complex model or using a different service, you may need to adjust the resources and properties accordingly.

    import pulumi import pulumi_aws as aws # This assumes that you have already set up an S3 bucket and hosted your static site. # Replace 'your-bucket-name' with your actual bucket name. bucket = aws.s3.Bucket.get("my-bucket", "your-bucket-name") # Set your hosted zone ID and domain name to the correct values. hosted_zone_id = "YOUR_HOSTED_ZONE_ID" domain_name = "models.example.com" # Replace with your desired subdomain. # Set up an A record to route traffic from your subdomain to your S3 static website endpoint. a_record = aws.route53.Record("model-a-record", zone_id=hosted_zone_id, name=domain_name, type="A", aliases=[ aws.route53.RecordAliasArgs( name=bucket.website_endpoint, zone_id=hosted_zone_id, evaluate_target_health=False, ) ]) # Export the DNS name of the subdomain which you can use to access your site. pulumi.export('subdomain_dns_name', a_record.fqdn)


    1. pulumi_aws: Import the AWS Pulumi package to interact with AWS services.
    2. bucket: Obtain a reference to your existing S3 bucket where the model deployment services are located. Replace 'your-bucket-name' with the actual name of your bucket.
    3. hosted_zone_id & domain_name: Define your hosted zone ID (you can get this from the AWS Route 53 console) and the domain name for your subdomain (which you need to have registered).
    4. a_record: Create a DNS A record for the subdomain that points to the S3 static website endpoint.
    5. pulumi.export: Use this to output the fully qualified domain name (FQDN) for the subdomain, which gives you a URL to access the subdomain after the DNS record is active.

    Make sure to replace placeholders with your actual values. Ensure that the AWS credentials are configured for Pulumi to access your AWS account. The program assumes that you've previously set up an S3 bucket to host your static website; if you haven't, you'll need to set that up before using this program.