1. Custom Domain Mapping for AI Dashboards

    Python

    When creating AI Dashboards that are accessible via a custom domain name, it's important to set up domain mapping correctly to ensure that requests to your domain are properly routed to the dashboard. Depending on your cloud provider, this involves creating a domain name resource, an API mapping (if your dashboard is served via an API), and configuring DNS settings.

    Below is a Pulumi Python program that demonstrates how to map a custom domain to an AI Dashboard hosted on AWS. This example makes use of the aws.apigateway.DomainName to create a custom domain name and the aws.apigateway.BasePathMapping to map the domain to a specific deployment stage of an API Gateway, which should serve as the backend for the AI Dashboard. We are assuming that the AI Dashboard is served through an AWS API Gateway and that you already have an SSL/TLS certificate ARN for your domain name.

    Before running this program, you must have installed the Pulumi CLI, set up your AWS credentials, and have a domain name registered that you control the DNS settings for. You'll also want to have an SSL/TLS certificate ready in AWS Certificate Manager that covers your domain.

    Here is how you can set up custom domain mapping for your AI Dashboard:

    import pulumi import pulumi_aws as aws # Replace with your own domain and certificate ARN custom_domain_name = "dashboard.example.com" certificate_arn = "arn:aws:acm:region:account-id:certificate/certificate-id" # Creating a custom domain for the API Gateway domain_name = aws.apigateway.DomainName('custom-domain-name', domain_name=custom_domain_name, certificate_arn=certificate_arn ) # Assuming you already have your AI Dashboard deployed via AWS API Gateway # Replace with your actual API's ID and the deployment stage name api_id = "your-api-id" stage_name = "prod" # Creating a base path mapping to map the custom domain to the API Gateway deployment stage base_path_mapping = aws.apigateway.BasePathMapping('api-base-path-mapping', api_id=api_id, stage_name=stage_name, domain_name=domain_name.domain_name ) # Exporting the distribution domain name for accessing the AI Dashboard pulumi.export('dashboard_url', domain_name.domain_name_configuration.apply(lambda conf: conf.target_domain_name))

    In the above program:

    • We declare a custom_domain_name that is the domain you want to use for your AI Dashboard.
    • We use the certificate_arn which is the ARN of your SSL/TLS certificate from AWS Certificate Manager.
    • We create an aws.apigateway.DomainName resource that configures the domain name within API Gateway to use the specified SSL/TLS certificate.
    • We assume the presence of an API Gateway (api_id) and its deployment stage (stage_name) where the AI Dashboard is deployed.
    • We create an aws.apigateway.BasePathMapping resource to map the custom domain to the API Gateway deployment.
    • Finally, we export the dashboard_url which gives us the target domain name for the API Gateway, which would be used to access the AI Dashboard.

    Please ensure to replace the placeholders with actual values from your setup (e.g., custom_domain_name, certificate_arn, api_id, and stage_name).

    Upon running this program with Pulumi (using pulumi up), Pulumi will provision these resources in your AWS account and output the URL that can be used to access your AI Dashboard. You'll also need to update your domain's DNS settings to point to the target domain of the API Gateway, which Pulumi outputs.

    Remember to update your DNS settings to create a CNAME record for your domain that points to the target domain of the API Gateway. This DNS update is outside the scope of Pulumi and needs to be done through your domain registrar's DNS management interface.


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