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Azure Serverless Computing Cookbook

Azure Serverless Computing Cookbook

By : Praveen Kumar Sreeram
5 (1)
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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

Introduction

Every software application requires back-end components that are responsible for taking care of the business logic and storing data in some kind of storage, such as databases and filesystems. Each of these back-end components can be developed using different technologies. Azure serverless technology allows us to develop these back-end APIs using Azure Functions.

Azure Functions provides many out-of-the-box templates that solve most common problems, such as connecting to storage and building web APIs. In this chapter, you'll learn how to use these built-in templates. Along with learning about concepts related to Azure serverless computing, we'll also implement a solution to the basic problem domain of creating the components required for an organization to manage internal employee information.

Figure 1.1 highlights the key processes that you will learn about in this chapter:

Key processes to be accomplished in the chapter
Figure 1.1: The key processes

Let's go through a step-by-step explanation of the figure to get a better understanding:

  1. Client call to the API.
  2. Persist employee details using Azure Table Storage.
  3. Save profile picture links to queues.
  4. Invoke a queue trigger as soon as a message is created.
  5. Create the blobs in Azure Blob Storage.
  6. Invoke the blob trigger as soon as a blob is created.
  7. Resize the image and store it in Azure Blob Storage.

We'll leverage Azure Functions' built-in templates using HTTP triggers, with the goal of resizing and storing images in Azure Blob Storage.

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