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Azure Serverless Computing Cookbook

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

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Product type Paperback
Published in Aug 2017
Publisher Packt
ISBN-13 9781788390828
Length 332 pages
Edition 1st Edition
Tools
Concepts
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Author (1):
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Praveen Kumar Sreeram Praveen Kumar Sreeram
Author Profile Icon Praveen Kumar Sreeram
Praveen Kumar Sreeram
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Toc

Table of Contents (11) Chapters Close

Preface 1. Accelerate Your Cloud Application Development Using Azure Function Triggers and Bindings 2. Working with Notifications Using SendGrid and Twilio Services FREE CHAPTER 3. Seamless Integration of Azure Functions with Other Azure Services 4. Understanding the Integrated Developer Experience of Visual Studio Tools for Azure Functions 5. Exploring Testing Tools for the Validation of Azure Functions 6. Monitoring and Troubleshooting Azure Serverless Services 7. Code Reusability and Refactoring the Code in Azure Functions 8. Developing Reliable and Durable Serverless Applications Using Durable Functions 9. Implement Best Practices for Azure Functions 10. Implement Continuous Integration and Deployment of Azure Functions Using Visual Studio Team Services

Adding multiple messages to a Queue using the IAsyncCollector function

In the first chapter, you learned how to create a Queue message for each request coming from the HTTP request. Now let's assume that each user is registering their devices (mobiles, laptops, and so on) using any client application (for example, a desktop app, a mobile app, or any client website) that can send multiple records in a single request. In these cases, the backend application should be smart enough to handle the load coming to it. In these cases, there should be a mechanism to create multiple Queue message in a single go asynchronously. You will learn how to create multiple Queue messages using the IAsyncCollector interface.

Here is a sample diagram that depicts the data flow from different client applications to the backend web API:

In this recipe, we will simulate the requests using the Postman...

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