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

Linux-based Azure Functions

Linux-based Azure Functions can run code or custom Docker images. If you decide to run code inside a Linux-based Azure Function, then everything will seem very similar to a Windows-based one. You can decide the hosting plan (the Consumption or App Service plan) and you can choose the runtime stack (at the moment, the choice is between .NET Core, Node.js, and Python):

What happens under the hood is that the function will be deployed inside a container (maintained by Microsoft) that contains the Azure Functions runtime and the runtime stack selected by the user. Everything is similar to Windows-based Azure Functions. For more information about deploying code to a Linux-based Azure Function, go to

If you choose to deploy a custom Docker image...