Book Image

Azure Serverless Computing Cookbook - Third Edition

By : Praveen Kumar Sreeram
Book Image

Azure Serverless Computing Cookbook - Third Edition

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)
13
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...