1. Scalable AI Content Delivery Network using Akamai

    Python

    To create a scalable AI Content Delivery Network (CDN) using Akamai with Pulumi, you need to define resources such as a CDN property configuration, which includes settings for caching, compression, and delivery optimization. Akamai provides a range of features and tools to optimize content delivery, including application layer security, image management, and data stream configuration.

    Below is an annotated Pulumi Python program that creates the necessary resources for a simple Akamai CDN. The program will define an Akamai property for CDN functionality. For a complete solution, you may need to integrate more complex logic and additional resources, but this will give you a foundation to start from.

    The Akamai provider for Pulumi enables the creation and management of Akamai resources programmatically. You can install it with the Pulumi CLI like this:

    pulumi plugin install resource akamai vX.Y.Z

    Make sure to replace X.Y.Z with the version number that matches your Pulumi installation.

    Pulumi Python Program to Create an Akamai CDN Property

    import pulumi import pulumi_akamai as akamai # The first step is to create an Akamai property, which is the central component of the CDN configuration. # The `akamai.Property` resource allows you to define a configuration for how content is served through Akamai's network. # Properties like `name`, `rules`, `hostnames` are essential for setting up the property. # Note: The following Akamai-specific IDs (group_id, contract_id, product_id, etc.) need to be obtained from your Akamai account. property_name = "my-ai-cdn-property" property = akamai.Property("myProperty", name=property_name, # Rules define how the CDN will handle the traffic. # This is written as a JSON formatted string, which could be loaded from an external file for better management. rules="""{ "rules": [ { "name": "default", "behaviors": [ { "name": "caching", "options": { "behavior": "CACHE_CONTROL_AND_EXPIRES" } } ], "criteria": [ { "name": "path", "options": { "matchOperator": "MATCHES_ONE_OF", "values": ["/*"], "matchCaseSensitive": false } } ] } ] }""", # To properly set up a hostname, you'll need to configure a CNAME record # pointing from your domain to the edge hostname provided by Akamai via the DNS setup on your domain. # Here you would specify the domain details that the CDN will serve. hostnames=[ akamai.PropertyHostnameArgs( cname_from="www.example.com", cname_to=property_name + ".edgekey.net", # This is an example of the edge hostname. cname_type="EDGE_HOSTNAME" ) ], contact_id="contract-id", # Replace with your contract ID. group_id="group-id", # Replace with your group ID. product_id="prd_Fresca", # Replace with your Akamai product ID. rule_format="latest" # Rule format typically indicates the version of rule language to use; 'latest' is generally safest. ) # Output the hostname for accessing the CDN. pulumi.export('cdn_hostname', property.hostnames)

    This program sets up an Akamai CDN property named my-ai-cdn-property. The rules parameter of the akamai.Property resource is used to define various behaviors for the CDN, such as caching rules and content delivery criteria.

    Please visit the Akamai Property documentation page for more information on the various configuration options you have when defining a property.

    Remember that setting up a CDN properly involves several steps, from configuring the property to setting DNS records. This provided code assumes that you have the necessary Akamai credentials and configurations to authenticate and create resources within the Akamai platform. It also assumes that the domain is already configured to point to Akamai's network via CNAME records.

    To move forward with a more detailed solution, you would also need to integrate monitoring, AI features such as image optimization or user prioritization, and potentially more complex routing and caching rules, depending on your application's requirements. Akamai's Pulumi provider resources can be combined with code-based configuration and external data sources to build a full solution for content delivery.