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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 Jun 2020
Publisher Packt
ISBN-13 9781800206601
Length 458 pages
Edition 3rd 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 (14) Chapters Close

Preface 1. Accelerating cloud app development using Azure Functions 2. Working with notifications using the SendGrid and Twilio services FREE CHAPTER 3. Seamless integration of Azure Functions with Azure Services 4. Developing Azure Functions using Visual Studio 5. Exploring testing tools for Azure functions 6. Troubleshooting and monitoring Azure Functions 7. Developing reliable serverless applications using durable functions 8. Bulk import of data using Azure Durable Functions and Cosmos DB 9. Configuring security for Azure Functions 10. Implementing best practices for Azure Functions 11. Configuring serverless applications in the production environment 12. Implementing and deploying continuous integration using Azure DevOps Index

Adding multiple messages to a queue using the IAsyncCollector function

In the Saving profile picture paths to queues using queue output bindings recipe of Chapter 1, Accelerating cloud app development using Azure Functions, 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 using client applications (such as desktop apps, mobile apps, or any client websites) that can send multiple records in a single request. In these cases, the back-end application should be smart enough to handle the oncoming load; there should be a mechanism to create multiple queue messages at once and asynchronously. You will learn how to create multiple queue messages using the IAsyncCollector interface.

Let's look at a diagram that depicts the data flow from different client applications to the Back-End Web API.

At a given point of time, as shown in Figure 10.1:

  • iOS App sends two messages...
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