1. Enforcing Compliance on Cognitive Services Traffic

    Python

    Enforcing compliance on Cognitive Services traffic involves multiple considerations, such as controlling access and monitoring the services to ensure they adhere to certain standards and policies. Given that you're interested in Pulumi and cloud compliance, I'll guide you through creating an Azure Cognitive Services Account with a Network Access Control List (ACL) to enforce traffic compliance.

    We will utilize Azure Cognitive Services, which is a collection of APIs, SDKs, and services that allows developers to easily add cognitive features into their applications without having direct AI or data science skills or knowledge. To ensure compliance, we can configure network rules that control the traffic to these services.

    Below, I will provide a Pulumi program written in Python that demonstrates how to create an Azure Cognitive Services Account with Network ACLs for IP rules. These IP rules determine which IP addresses are allowed or denied access to the Cognitive Services resources.

    Pulumi Program for Azure Cognitive Services with Network ACLs

    The program will perform the following actions:

    • Import relevant Pulumi Azure Native modules.
    • Create a new Azure resource group, which is a container to hold related resources for an Azure solution.
    • Create a Cognitive Services account.
    • Apply a Network ACL to only allow certain IP addresses, which enforces traffic compliance by limiting access to the service.

    Let's start with the code:

    import pulumi import pulumi_azure_native as azure_native # Create a new resource group to contain the Cognitive Services Account resource_group = azure_native.resources.ResourceGroup('my-resource-group') # Create a new Cognitive Services Account with network ACLs cognitive_account = azure_native.cognitiveservices.Account('myCognitiveAccount', # Define the location and resource group for the Cognitive Services Account location='West Europe', resource_group_name=resource_group.name, # Define SKU for pricing tier and Cognitive Services type sku=azure_native.cognitiveservices.SkuArgs(name='S0'), # Define the kind of cognitive service (e.g., Face, Text Analytics, etc.) kind='TextAnalytics', # Apply the properties for Network ACLs properties=azure_native.cognitiveservices.AccountPropertiesArgs( network_acls=azure_native.cognitiveservices.NetworkRuleSetArgs( # Set the default action for traffic ('Allow' or 'Deny') default_action='Deny', # Define specific IP rules that allow access ip_rules=[ azure_native.cognitiveservices.IpRuleArgs(value='52.176.6.0/24'), azure_native.cognitiveservices.IpRuleArgs(value='52.169.50.45'), ] ) ) ) # Export the Cognitive Services Account Endpoint pulumi.export('cognitive_services_endpoint', cognitive_account.endpoint)

    In the above program, we have:

    1. Imported pulumi and the required Azure modules with pulumi_azure_native.
    2. Created a resource group named 'my-resource-group' where our Cognitive Services Account will reside.
    3. Defined a Cognitive Services Account named 'myCognitiveAccount'. We specified several arguments such as the pricing tier ('S0'), the type of cognitive service ('TextAnalytics'), and the location ('West Europe').
    4. Applied Network ACLs to the account, setting the default action to 'Deny', meaning that by default all traffic will be blocked. We then whitelisted specific IP addresses using the ip_rules argument.

    For more detailed information on the Cognitive Services Account resource and its properties, you may refer to the Account documentation.

    To run this Pulumi program, you need to have Pulumi installed and configured for use with Azure. Once you have that in place, you would save the above code to a file (e.g., main.py), navigate to its directory in your command line, and then execute pulumi up. This command initializes a Pulumi deployment, which provisions the defined resources in your Azure subscription. The output would display the endpoint URL for the Cognitive Services Account, which is essential for connecting client applications to the services.

    Remember to follow best practices for managing and securing Azure credentials when using Pulumi and to review and understand pricing and costs associated with the resources being deployed.


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