1. Personalized AI Dashboards Hosted on Azure Static Websites

    Python

    To create personalized AI Dashboards that are hosted on Azure as Static Websites, you would typically follow these high-level steps:

    1. Create an Azure Storage Account: Static websites on Azure are served from the $web container in an Azure Storage Account. You'll need to create one and enable static website hosting for it.
    2. Deploy the Dashboard HTML/CSS/JS: Your AI Dashboard will likely consist of a single-page application (SPA) built with HTML, CSS, and JavaScript. You'll need to deploy these files to the $web container in your Storage Account.
    3. Enable Azure Functions (optional): If your dashboards need to interact with Azure AI services or other server-side APIs dynamically, you could use Azure Functions. These would need to be created and configured to work with your dashboards.
    4. Set up CDN and Custom Domain (optional): For better performance and a custom domain, you may want to put your static website behind Azure CDN.

    Below is a Pulumi program in Python that accomplishes these steps:

    import pulumi import pulumi_azure_native as azure_native # Step 1: Create an Azure Resource Group resource_group = azure_native.resources.ResourceGroup('resource_group') # Step 2: Create an Azure Storage Account with Static Website enabled storage_account = azure_native.storage.StorageAccount('storageAccount', resource_group_name=resource_group.name, sku=azure_native.storage.SkuArgs(name=azure_native.storage.SkuName.STANDARD_LRS), kind=azure_native.storage.Kind.STORAGE_V2) # Note: Static website support needs to be enabled on the storage account. # The "$web" container is created automatically when you indicate the account kind is "StorageV2". static_website = azure_native.storage.StorageAccountStaticWebsite("staticWebsite", account_name=storage_account.name, resource_group_name=resource_group.name, index_document="index.html", error404_document="404.html") # Step 3: Upload the dashboard files to the `$web` container # Note: In a real-world scenario, you would upload your dashboard app's build artifacts (html, js, css, etc.) # This can be done using Azure DevOps Pipelines, GitHub Actions, or even manually through the Azure Portal or Azure CLI. # For simplicity, this step is not included in the Pulumi code. # Step 4 (optional): Setup Azure Functions for server-side processing # Step 5 (optional): Configuring a CDN and custom domain for the storage account static website # Note: In production, you would provision an Azure CDN profile and endpoint for better distribution. # Likewise, setting up a custom domain involves domain verification and configuring a DNS record, which varies per domain registrar. # For simplification, these steps are not included in this Pulumi code. # Export the Web endpoint of the storage account pulumi.export('web_endpoint', pulumi.Output.concat('https://', storage_account.primary_endpoints.apply(lambda endpoints: endpoints.web)))

    Explanation:

    • Resource Group: Everything in Azure needs to be placed in a resource group, a logical container for resources.

    • Storage Account: This is the primary resource for the static website. By setting the kind to STORAGE_V2, we prepare it to host static content.

    • Static Website: We enable static website hosting on the storage account by specifying the index document and a custom 404 error document. These files should already be part of your dashboard application.

    • Deployment: The deployment of the dashboard to Azure isn't handled directly in this Pulumi script. In practice, you'd use a CI/CD pipeline to build your JavaScript application and then deploy the static files to the $web container created when enabling the static website feature.

    • CDN & Custom Domain: Although not explicitly created in the code above, these are common features you'd want with a production static site. You'd need to set up a CDN for content distribution and a custom domain for branding purposes. These could be added to the Pulumi program with resources such as CdnProfile, CdnEndpoint, and DNS zone management.

    Remember, before running this code, you will need to have Pulumi installed and configured to access your Azure subscription. You should also have an environment where you can run Python code (e.g., a virtual environment). After running this Pulumi code, it will provision the necessary resources on Azure, and you'll then deploy your dashboard files to the created $web container.


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