1. Deploying Serverless AI APIs via Azure Function with Azure Static Web Apps

    Python

    Deploying a serverless AI API on Azure involves creating an Azure Function that can execute your AI algorithms and then integrating it with Azure Static Web Apps to serve the application. Azure Functions provide a serverless environment to run your code, and Azure Static Web Apps offer a streamlined way to publish static websites with serverless APIs.

    Here's a step-by-step guide on how to deploy a serverless AI API using Pulumi with Azure:

    1. Azure Function: You will create an Azure Function that contains the AI code. This function will be triggered by HTTP requests.
    2. Azure Static Web Apps: You will set up a Static Web App to host the static content (HTML, CSS, JavaScript) for your application. The static content will interact with your Azure Function API.
    3. Integration: You will integrate the Azure Function with the Static Web App so that the AI API is served alongside your static content.

    The program below will set up an Azure Function and Azure Static Web App using Pulumi in Python. Pulumi allows you to define infrastructure as code, providing a clear, version-controlled specification for your serverless AI API deployment.

    import pulumi import pulumi_azure_native as azure_native # Replace 'my_resource_group' with your Azure Resource Group name resource_group = azure_native.resources.ResourceGroup('my_resource_group') # Create an app service plan for the Azure Function app_service_plan = azure_native.web.AppServicePlan("my_app_service_plan", resource_group_name=resource_group.name, kind="FunctionApp", sku=azure_native.web.SkuDescriptionArgs( name="Y1", tier="Dynamic" )) # Create the Azure Function App with the Python runtime for the AI API function_app = azure_native.web.WebApp("my_function_app", resource_group_name=resource_group.name, server_farm_id=app_service_plan.id, site_config=azure_native.web.SiteConfigArgs( app_settings=[ azure_native.web.NameValuePairArgs(name="FUNCTIONS_WORKER_RUNTIME", value="python"), # Add your application settings, connection strings, etc. ] )) # Create a Static Web App static_web_app = azure_native.web.StaticSite("my_static_web_app", resource_group_name=resource_group.name, # Replace with your details source=azure_native.web.StaticSiteSourceInfoArgs( branch="main", repository_token="<GITHUB_TOKEN>", repository_url="https://github.com/<YOUR_GITHUB_USERNAME>/<YOUR_REPO_NAME>", ), # Configure build and deployment settings as needed ) # Integrate the Azure Function with the Static Web App # This part assumes you have a route setup to link the API endpoint # to your Azure Function and the necessary code in your repository. integration = azure_native.web.StaticSiteCustomDomain("integration", name=static_web_app.name, domain_name=function_app.name.apply(lambda name: f"api.{name}.azurestaticapps.net"), resource_group_name=resource_group.name, static_site_name=static_web_app.name, ) # Export the URLs for the Azure Function App and Static Web App pulumi.export("function_app_url", function_app.default_host_name.apply( lambda name: f"https://{name}/api")) pulumi.export("static_web_app_url", static_web_app.default_host_name)

    Explanation:

    1. Resource Group: A resource group is a container that holds related resources for an Azure solution. The above program creates a resource group to manage your Azure Function and Static Web App.

    2. App Service Plan: An App Service plan defines a set of compute resources for a web app to run. In this case, you're using the "Y1" SKU for a dynamic (serverless) plan, particularly suitable for Azure Functions.

    3. Azure Function App: Function Apps provide the environment for executing your serverless function code. Here, we are defining it with a Python worker runtime, implying that you'll be running Python code for your serverless AI functions.

    4. Azure Static Web App: Static Web Apps are a service that automatically builds and deploys full stack web apps to Azure from a code repository. This resource is being defined with the repository details where your static content lives.

    5. Integration: Custom domain integration with the Static Web App is achieved by combining the domain of the Azure Function App into the URL pattern for the Static Web App. This allows the Static Web App to route API calls to the Azure Function.

    6. Exports: The URLs of the function app and the static web app are exported so you can access them after deployment.

    Important Notes:

    • Replace placeholders like <GITHUB_TOKEN>, <YOUR_GITHUB_USERNAME>, and <YOUR_REPO_NAME> with your actual repository details.
    • Add any additional application settings or environment variables required by your function app in the app_settings section.
    • This program assumes that your Azure Function and the code serving the API are prepared and stored in your GitHub repository. Pulumi will not write your AI function or static content but will deploy them to Azure.

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