Book Image

Architecting Vue.js 3 Enterprise-Ready Web Applications

By : Solomon Eseme
Book Image

Architecting Vue.js 3 Enterprise-Ready Web Applications

By: Solomon Eseme

Overview of this book

Building enterprise-ready Vue.js apps entails following best practices for creating high-performance and scalable applications. Complete with step-by-step explanations and best practices outlined, this Vue.js book is a must-read for any developer who works with a large Vue.js codebase where performance and scalability are indispensable. Throughout this book, you’ll learn how to configure and set up Vue.js 3 and the composition API and use it to build real-world applications. You’ll develop the skills to create reusable components and scale performance in Vue.js 3 applications. As you progress, the book guides you in scaling performance with asynchronous lazy loading, image compression, code splitting, and tree shaking. Furthermore, you’ll see how to use the Restful API, Docker, GraphQL, and different types of testing to ensure that your Vue.js 3 application is scalable and maintainable. By the end of this book, you’ll be well-versed in best practices for implementing Restful API, Docker, GraphQL, and testing methods to build and deploy an enterprise-ready Vue.js 3 application of any scale.
Table of Contents (21 chapters)
1
Part 1: Getting Started with Vue.js
4
Part 2: Large-Scale Apps and Scaling Performance in Vue.js 3
9
Part 3: Vue.js 3 Enterprise Tools
11
Part 4: Testing Enterprise Vue.js 3 Apps
16
Part 5: Deploying Enterprise-ready Vue.js 3

To get the most out of this book

Software/hardware covered in the book

Operating system requirements

Node.js 16.0 or higher

Windows, macOS, or Linux

Familiarity with command line

Windows, macOS, or Linux

JavaScript, ECMAScript 11

Windows, macOS, or Linux

Vue.js 3

Windows, macOS, or Linux

Docker and AWS

Windows, macOS, or Linux

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

You will need knowledge of Docker and containerization to run the code presented in Chapter 7.

You will need knowledge of AWS and cloud computing to run the code presented in Chapter 12.