Book Image

Node Cookbook - Third Edition

By : David Mark Clements, Mathias Buus Madsen, Peter Elger, Matteo Collina
Book Image

Node Cookbook - Third Edition

By: David Mark Clements, Mathias Buus Madsen, Peter Elger, Matteo Collina

Overview of this book

Today's web demands efficient real-time applications and scalability. Asynchronous event-driven programming is ideal for this, and this is where Node.js comes in. Server-side JavaScript has been here since the 90s, but Node got it right. With Node for tooling and server-side logic, and a browser-based client-side UI, everything is JavaScript. This leads to rapid, fluid development cycles. The full-stack, single language experience means less context-switching between languages for developers, architects and whole teams. This book shows you how to build fast, efficient, and scalable client-server solutions using the latest versions of Node. The book begins with debugging tips and tricks of the trade, and how to write your own modules. Then you'll learn the fundamentals of streams in Node.js, discover I/O control, and how to implement the different web protocols. You'll find recipes for integrating databases such as MongoDB, MySQL/MariaDB, Postgres, Redis, and LevelDB. We also cover the options for building web application with Express, Hapi and Koa. You will then learn about security essentials in Node.js and advanced optimization tools and techniques. By the end of the book you will have acquired the level of expertise to build production-ready and scalable Node.js systems. The techniques and skills you will learn in this book are based on the best practices developed by nearForm, one of the leaders in Node implementations, who supported the work of the authors on this book.
Table of Contents (12 chapters)

Introduction

Streams are one of the best features in Node. They have been a big part of the ecosystem since the early days of Node and today thousands of modules exists on npm that help us compose all kinds of great stream-based apps. They allow us to work with large volumes of data in environments with limited resources. In addition to that, they help us decouple our applications by supplying a generic abstraction that most I/O patterns work with.

In this chapter, we're going to explore why streams are such a valuable abstraction, how to safely compose streams together in a production environment, and convenient utilities to stream creation and management.

While this chapter is somewhat theoretical, the recipes contained are foundational to the rest of this book; throughout the following chapters, streams are used regularly in practical examples.

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