Book Image

Mastering Azure Serverless Computing

By : Lorenzo Barbieri, Massimo Bonanni
Book Image

Mastering Azure Serverless Computing

By: Lorenzo Barbieri, Massimo Bonanni

Overview of this book

Application development has evolved from traditional monolithic app development to using serverless options and microservices. This book is designed to guide you through using Microsoft's Azure Functions to process data, integrate systems, and build simple APIs and microservices. You will discover how to apply serverless computing to speed up deployment and reduce downtime. You'll also explore Azure Functions, including its core functionalities and essential tools, along with understanding how to debug and even customize Azure Functions. In addition to this, the book will take you through how you can effectively implement DevOps and automation in your working environment. Toward the concluding chapters, you'll cover some quick tips, troubleshooting techniques, and real-world serverless use cases that will help you make the most of serverless computing. By the end of this book, you will have gained the skills you need to develop and deliver cost-effective Azure serverless solutions.
Table of Contents (19 chapters)
Free Chapter
Section 1: Azure Functions 2.0 Fundamentals
Section 2: Azure Functions 2.0 Deployment and Automation
Section 3: Serverless Orchestration, API Management, and Event Processing
Section 4: Real-World Serverless Use Cases

Some Azure serverless use cases

In the next sections, we'll see some of the most common use cases for serverless computing. Serverless computing is not restricted to these scenarios, and every day a new scenario is created that needs these powerful technologies.

IoT and Edge devices

IoT devices can be used to gather and process data from various sources and use directly in the field. One important use case can be using IoT to feed data into Stream Analytics, which can work with it. Stream Analytics can call Azure Functions when it needs to perform custom processing of the data using algorithms that are not included in the product.

Another use case could be using an Azure function running inside a container deployed on...