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
1
Section 1: Azure Functions 2.0 Fundamentals
5
Section 2: Azure Functions 2.0 Deployment and Automation
10
Section 3: Serverless Orchestration, API Management, and Event Processing
15
Section 4: Real-World Serverless Use Cases

Section 3: Serverless Orchestration, API Management, and Event Processing

This section shows how to add advanced features to serverless solutions, including orchestration (both using code and visual workflows), API Management (caching and security) and event processing (routing and filtering).

It comprises the following chapters:

  • Chapter 8, Orchestration as Code – Durable Functions
  • Chapter 9, Orchestration as Design – Logic Apps
  • Chapter 10, Empowering Your Serverless API with API Management
  • Chapter 11, High-Scale Serverless Event Processing with Event Grid