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  • Book Overview & Buying Mastering  Node.js
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Mastering  Node.js

Mastering Node.js - Second Edition

By : Sandro Pasquali, Kevin Faaborg
3.6 (9)
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Mastering  Node.js

Mastering Node.js

3.6 (9)
By: Sandro Pasquali, Kevin Faaborg

Overview of this book

Node.js, a modern development environment that enables developers to write server- and client-side code with JavaScript, thus becoming a popular choice among developers. This book covers the features of Node that are especially helpful to developers creating highly concurrent real-time applications. It takes you on a tour of Node's innovative event non-blocking design, showing you how to build professional applications. This edition has been updated to cover the latest features of Node 9 and ES6. All code examples and demo applications have been completely rewritten using the latest techniques, introducing Promises, functional programming, async/await, and other cutting-edge patterns for writing JavaScript code. Learn how to use microservices to simplify the design and composition of distributed systems. From building serverless cloud functions to native C++ plugins, from chatbots to massively scalable SMS-driven applications, you'll be prepared for building the next generation of distributed software. By the end of this book, you'll be building better Node applications more quickly, with less code and more power, and know how to run them at scale in production environments.
Table of Contents (13 chapters)
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Using Redis for tracking client state

For some of the applications and examples in this chapter, we will be using Redis, an in-memory Key/Value (KV) database developed by Salvatore Sanfilippo. More information on Redis can be found at: http://redis.io. A well-known competitor to Redis is Memcached (http://memcached.org).

In general, any server that must maintain the session state of many clients will need a high-speed data layer with near-instantaneous read/write performance, as request validation and user state transformations can occur multiple times on each request. Traditional file-backed relational databases tend to be slower at this task than in-memory KV databases. We're going to use Redis for tracking the client state.

Redis is a single-threaded data store that runs in memory. It is very fast, and focused on implementing several data structures, such as hashes and...

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