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Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook

By : Praveen Kumar Sreeram
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Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook

5 (1)
By: Praveen Kumar Sreeram

Overview of this book

This third edition of Azure Serverless Computing Cookbook guides you through the development of a basic back-end web API that performs simple operations, helping you understand how to persist data in Azure Storage services. You'll cover the integration of Azure Functions with other cloud services, such as notifications (SendGrid and Twilio), Cognitive Services (computer vision), and Logic Apps, to build simple workflow-based applications. With the help of this book, you'll be able to leverage Visual Studio tools to develop, build, test, and deploy Azure functions quickly. It also covers a variety of tools and methods for testing the functionality of Azure functions locally in the developer's workstation and in the cloud environment. Once you're familiar with the core features, you'll explore advanced concepts such as durable functions, starting with a "hello world" example, and learn about the scalable bulk upload use case, which uses durable function patterns, function chaining, and fan-out/fan-in. By the end of this Azure book, you'll have gained the knowledge and practical experience needed to be able to create and deploy Azure applications on serverless architectures efficiently.
Table of Contents (14 chapters)
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13
Index

Throttling Azure Functions using API Management

You have already learned in previous chapters that we can use Azure Functions' HTTP triggers as a back-end web API. To restrict the number of requests by client applications to, let's say, 10 requests per second, we would usually have to develop a lot of logic. Thanks to Azure API Management, we don't need to write any custom logic if we integrate Azure Functions with API Management.

In this recipe, you'll learn how to restrict clients to only one API request per minute for a given IP address. The following are the high-level steps that we'll follow:

  1. Creating an Azure API Management service
  2. Integrating Azure Functions with API Management
  3. Configuring request throttling using inbound policies
  4. Testing the rate limit inbound policy configuration

Getting ready

To get started, you need to create an Azure API Management service by performing the following steps:

  1. Search for API...

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