Book Image

MEAN Cookbook

By : Nicholas McClay
Book Image

MEAN Cookbook

By: Nicholas McClay

Overview of this book

The MEAN Stack is a framework for web application development using JavaScript-based technologies; MongoDB, Express, Angular, and Node.js. If you want to expand your understanding of using JavaScript to produce a fully functional standalone web application, including the web server, user interface, and database, then this book can help guide you through that transition. This book begins by configuring the frontend of the MEAN stack web application using the Angular JavaScript framework. We then implement common user interface enhancements before moving on to configuring the server layer of our MEAN stack web application using Express for our backend APIs. You will learn to configure the database layer of your MEAN stack web application using MongoDB and the Mongoose framework, including modeling relationships between documents. You will explore advanced topics such as optimizing your web application using WebPack as well as the use of automated testing with the Mocha and Chai frameworks. By the end of the book, you should have acquired a level of proficiency that allows you to confidently build a full production-ready and scalable MEAN stack application.
Table of Contents (13 chapters)

Optimizing asset delivery with gzip compression in Express

Reducing the size of assets can mean a few different things in a web application. Commonly, minification tools remove whitespace and generally transform human-readable code into very efficient, but virtually unreadable minified code. This operation usually occurs in concert with file concatenation using utitilies such as uglify.js. The other way to reduce asset file size is through the use of asset compression, either by optimizing assets directly such as jpeg quality, or through the use of compression algorithms that can be sent over the network to be decoded by the browser. Gzip is a common solution that is supported by virtually every modern browser and provides huge file size savings for resources with lossless compression that can be up to 90% smaller than the uncompressed file. It works by applying a compression...