Scaling Your Node.js Apps

Progress Your Personal Projects to Production-Ready
1. Auflage 2018
ISBN: 978-1-4842-3990-2
Verlag: Apress

Buch, Englisch, 162 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 283 g

Take your Node.js application into production-ready status, capable of scaling up to whatever your needs might be. You'll discover that architecting for successful, popular sites is an essential tool of any professional Node.js developer, and learning to scale your own applications is a great place to start.

Using this book you will learn when to scale, what factors should trigger scaling, and what architectural techniques are best suited for scaling. You will also explore common pitfalls that arise when scaling a Node.js application and solutions to correct them.

Including analyses of success cases at the largest-scale companies, such as Netflix and Paypal, this book will get you started with scaling in no time at all.
What You'll Learn

-
Determine what factors should trigger the need to scale

- Discover different architectural patterns that lend themselves to scaling

-
Resolve problems that arise when scaling up a Node.js application

- Monitor a platform in order to understand when to start scaling
Who This Book Is For

The main audience for this book are Node.js developers with a mid-level understanding of the technology. Novice Node users will also benefit from the coverage of generic scaling-related topics.

Autoren/Hrsg.

Doglio, Fernando

Fachgebiete

• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Webprogrammierung

Inhaltsverzeichnis

1. The Need to Scale.- 2. Architecture Patterns.- 3. Ways to Scale.- 4. Issues when Scaling.- 5. When to Scale?.- 6. Testing your Application.- 7. Success Cases.

Über Autor(innen)

Fernando Doglio has been a Web Developer for the past 10 years. During that time, he's had the opportunity to work with many leading technologies such as PHP, Ruby on Rails, MySQL, Node. js, Angular.js, AJAX, REST APIs, and others. He creates scalable architectures for big data platforms. When not programming, he can be seen spending time with his family. He can be contacted on twitter at: @deleteman123