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Azure Serverless Computing Cookbook

You're reading from   Azure Serverless Computing Cookbook Build and monitor Azure applications hosted on serverless architecture using Azure Functions

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789615265
Length 424 pages
Edition 2nd Edition
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Authors (2):
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Jason Marston Jason Marston
Author Profile Icon Jason Marston
Jason Marston
Praveen Kumar Sreeram Praveen Kumar Sreeram
Author Profile Icon Praveen Kumar Sreeram
Praveen Kumar Sreeram
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Toc

Table of Contents (13) Chapters Close

Preface 1. Developing Cloud Applications Using Function Triggers and Bindings FREE CHAPTER 2. Working with Notifications Using the SendGrid and Twilio Services 3. Seamless Integration of Azure Functions with Azure Services 4. Understanding the Integrated Developer Experience of Visual Studio Tools 5. Exploring Testing Tools for the Validation of Azure Functions 6. Monitoring and Troubleshooting Azure Serverless Services 7. Developing Reliable Serverless Applications Using Durable Functions 8. Bulk Import of Data Using Azure Durable Functions and Cosmos DB 9. Implementing Best Practices for Azure Functions 10. Configuring of Serverless Applications in the Production Environment 11. Implementing and Deploying Continuous Integration Using Azure DevOps 12. Other Books You May Enjoy

Configuring the throttling of Azure Functions using API Management

In the previous chapter, we learned that we can use Azure Functions HTTP triggers as the backend web API. If you want to restrict the number of requests by your client applications to, let's say, 10 requests per second, then you might have to develop a lot of logic. Thanks to Azure API Management, you don't need to write any custom logic if you integrate Azure Functions with API Management.

In this recipe, we will learn how to restrict clients to API access only once per minute for a given IP address. The following are the high-level steps that we will follow:

  1. We will create an Azure API Management service
  2. Then, we will integrate Azure Functions with API Management
  3. Then, we will configure request throttling using inbound policies
  4. Finally, we will test the rate limit inbound policy configuration
...
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