1. Managed RESTful APIs for AI Service Consumption


    To build and manage RESTful APIs for AI service consumption, we'll use cloud services that provide API management capabilities. For this example, we'll deploy a managed API using Azure API Management services since it provides a comprehensive solution to publish, manage, secure, and analyze APIs.

    The primary resource we'll use is azure-native.apimanagement.ApiManagementService, which represents the Azure API Management service in Pulumi. This service will act as a gateway for your AI services, providing features like request throttling, authentication and authorization, and usage analytics.

    Below is a detailed Pulumi program written in Python that sets up an Azure API Management Service. This program:

    1. Imports necessary Azure and Pulumi components.
    2. Defines an instance of API Management Service with the minimum required configuration.
    3. Exports the endpoint of the API Management Service for your consumption.

    Before we proceed with the Pulumi program, ensure you have the Pulumi CLI and Azure CLI installed and that you've logged in to Azure with the Azure CLI.

    Here's the detailed program:

    import pulumi import pulumi_azure_native as azure_native # Create a resource group which will contain all our resources. # Resource groups in Azure act as a logical container into which # Azure resources like web apps, databases, and storage accounts are deployed and managed. resource_group = azure_native.resources.ResourceGroup('ai_api_resource_group') # Deploy an instance of Azure API Management. # Azure API Management helps organizations publish APIs to external, partner, and internal developers # to unlock the potential of their data and services. api_management_service = azure_native.apimanagement.ApiManagementService( 'ai_api_management_service', resource_group_name=resource_group.name, publisher_name='Your API Publisher Name', # Replace with your publisher name publisher_email='publisher@example.com', # Replace with your publisher email sku=azure_native.apimanagement.SkuArgs( name="Consumption", # This tier is cost-effective for light usage and scales with your use. capacity=0 # With Consumption tier, capacity is handled automatically. ), location=resource_group.location, # Deploy in the same location as resource group. ) # Export the API management service endpoint so it can be used to access the APIs. pulumi.export('api_management_endpoint', api_management_service.gateway_url)

    Ensure to replace 'Your API Publisher Name' and 'publisher@example.com' with your actual API publisher name and contact email.

    Once the program is successfully executed, it will output the API management endpoint URL where you can direct the RESTful API traffic.

    This Pulumi program creates the scaffolding for a managed API space using Azure, onto which you can deploy and manage your AI service endpoints. You can enhance the service by adding APIs, operations, and policies based on your specific requirements for request/response transformation, caching, rate limiting, CORS support, etc.