Rails Scales!: Practical Techniques for Performance and Growth
Author:Cristian Planas (Author), Cristian Planas
ASIN: B0DXNXQRHK
Publisher finelybook 出版社: Pragmatic Bookshelf
Publication Date 出版日期: 2025-06-24
Edition 版本: 1st
Language 语言: English
Print Length 页数: 272 pages
ISBN-13: 9798888651025
Book Description
Rails doesn’t scale. So say the naysayers. They’re wrong. Ruby on Rails runs some of the biggest sites in the world, impacting the lives of millions of users while efficiently crunching petabytes of data. This book reveals how they do it, and how you can apply the same techniques to your applications. Optimize everything necessary to make an application function at scale: monitoring, product design, Ruby code, software architecture, database access, caching, and more. Even if your app may never have millions of users, you reduce the costs of hosting and maintaining it.
Optimize every aspect of your Ruby on Rails applications for world-class performance. Tweak your Rails app for snappy responsiveness. Find bottlenecks that slow your code. Scale an app for massive data sets.
This book introduces techniques, patterns, and tricks to make your Rails application become more performant and scale to billions of requests per day. And it does it in an entertaining and fun way, sharing real-life stories of all kinds: tales from the trenches of working on massive Rails apps, and anecdotes from working on much smaller projects in tiny organizations of a handful of engineers. Through all these experiences you will learn that scaling Rails applications is a multifaceted task, including aspects such as monitoring, query tuning, and memory-aware coding.
This book is for programmers of all levels of experience, from beginners to experienced Rails veterans. You can even show your nontechnical colleagues the features and limitations of Rails at scale.
Reading this book will help you make Rails applications that fly. And it will make you enjoy the process.
What You Need:
In the course of this book we will be using Rails 8.0 and Ruby 3.4. The data stores used will be MySQL, Postgres, Redis, and Memcached.
