1. Scalable Media Analysis Workflows with Azure CDN


    To create a scalable media analysis workflow with Azure Content Delivery Network (CDN), you'll need a few Azure services working together. The core components are:

    1. Azure Media Services: This will be used to upload, store, encode, and package your media files.
    2. Azure CDN: To distribute your media content globally with low latency and high transfer speeds.
    3. Azure Functions (optional): You might want to use Azure Functions for processing or to trigger workflows based on certain events, like a new video being uploaded.

    In the Pulumi program below, I'll guide you through setting up an Azure CDN profile and endpoint. This will be the foundation for distributing your media content.

    An Azure CDN profile is a collection of CDN endpoints and is the top-level resource for the CDN service. An endpoint represents a specific web location (DNS name) you want to distribute media from. To analyze media content, you would first process it through Azure Media Services and then serve it through these endpoints.

    Let's create a basic Pulumi program to set up an Azure CDN profile with a single endpoint.

    import pulumi import pulumi_azure_native as azure_native # Create an Azure resource group resource_group = azure_native.resources.ResourceGroup("media_rg") # Create an Azure CDN Profile cdn_profile = azure_native.cdn.Profile("cdnProfile", resource_group_name=resource_group.name, sku=azure_native.cdn.SkuArgs(name=azure_native.cdn.SkuName.STANDARD_MICROSOFT), location=resource_group.location ) # Create an Azure CDN Endpoint cdn_endpoint = azure_native.cdn.Endpoint("cdnEndpoint", resource_group_name=resource_group.name, profile_name=cdn_profile.name, location=resource_group.location, # This is where you would specify the origin of your media content # For example, this could be the hostname of your Azure Media Services origins=[azure_native.cdn.DeepCreatedOriginArgs( name='media-service-origin', host_name='[YOUR_MEDIA_SERVICE_HOSTNAME].azure.net', http_port=80, https_port=443 )] ) # Export the hostname of the CDN Endpoint pulumi.export('cdnEndpointHostname', cdn_endpoint.host_name)

    In this program:

    • We start by creating an Azure Resource Group which will hold our CDN resources.
    • Next, we create an azure_native.cdn.Profile which represents our Azure CDN.
      • The sku parameter specifies the pricing tier; STANDARD_MICROSOFT is used here as an example.
    • Then, we initialize an azure_native.cdn.Endpoint which is the specific location from where our content will be served.
      • You need to replace [YOUR_MEDIA_SERVICE_HOSTNAME] with the actual hostname of your Azure Media Services instance.
    • Lastly, we export the hostname of the CDN endpoint so you can easily access it after deployment.

    The on-demand streaming service of Azure Media Services would typically be used to deliver the content to end users, while the CDN ensures that the content is available with high bandwidth and low latency on a global scale.

    To actually run this Pulumi program:

    1. Install Pulumi and set up the Azure CLI.
    2. Log in to the Azure CLI and configure your credentials for Pulumi to use.
    3. Save this program in a file named __main__.py.
    4. Run pulumi up in the same directory as your program file to initiate the deployment.

    Once deployed, your media content will be served globally from the Azure CDN endpoint, and you can start integrating Azure Media Services to host and process your actual media files.