1. Throttling and Rate Limiting AI API Calls on Azure


    Throttling and rate limiting are crucial concepts in API management that prevent abuse and ensure that APIs can handle the number of requests made to them without degrading performance or becoming unavailable. It involves setting limits on how many times an API can be called within a certain timeframe by a consumer.

    In Azure, you can use Azure API Management service to implement throttling and rate limiting. With Azure API Management, you can define policies that control the call rate to your APIs. You're able to enforce quotas and rate limits at multiple levels, including subscription, product, and API levels. Throttling policies in Azure API Management can also be used to protect your backend services from being overwhelmed by too many requests.

    Below is a Pulumi program in Python that demonstrates how to create Azure API Management service with a rate limiting policy. We will do the following steps:

    1. Create an instance of the API Management Service using the ApiManagementService resource.
    2. Set up a product on API Management using the Product resource. Products in API Management are a way to group APIs and offer them to developers.
    3. Define a rate limit policy using the Policy resource. This policy will specify the rate limits.
    4. Associate the policy with our product using the ProductPolicy resource.

    Here's the program:

    import pulumi import pulumi_azure_native.apimanagement as apimanagement # Configuration for the Azure API Management Service api_management_service_name = "my-api-management-service" resource_group_name = "my-resource-group" # Create an API Management Service api_management_service = apimanagement.ApiManagementService( api_management_service_name, resource_group_name=resource_group_name, location="West US", # Specify your Azure region publisher_name="My Company", publisher_email="contact@mycompany.com", sku_name="Developer_1" # Developer tier is cost-effective for demo purposes ) # Create a product to encapsulate a set of APIs. product = apimanagement.Product( "my-api-product", resource_group_name=resource_group_name, service_name=api_management_service.name, display_name="My API Product", approval_required=False, published=True ) # Define the rate limit policy. # In this case, we're limiting to 5 requests per 15 seconds. rate_limit_policy_xml = """<policies> <inbound> <rate-limit calls="5" renewal-period="15"/> </inbound> </policies>""" # Apply the rate limit policy at the product level. # When an API is added to this product, it inherits this policy. product_policy = apimanagement.ProductPolicy( "my-product-policy", resource_group_name=resource_group_name, service_name=api_management_service.name, product_id=product.product_id, value=rate_limit_policy_xml, format="xml" ) # Export the API Management Service URL pulumi.export('api_management_service_url', api_management_service.gateway_url)

    In this program, we initiated an Azure API Management instance with basic publisher information and in the "Developer" tier, which is suitable for testing and development purposes.

    The product is then created to represent a collection of APIs. The rate limiting policy is written in XML, which is the format Azure API Management expects for policies. We've set a rate limit of 5 calls every 15 seconds. The policy is then associated with the product, so any APIs added to this product will have this rate limit applied.

    Finally, the URL to the API Management Service's gateway is exported, which you can use to access your managed APIs.

    Remember to replace "my-resource-group" and "my-api-management-service" with your actual resource group name and desired API Management service name. The publisher information should also be updated to reflect your organization's details.