Redis, as a popular key-value in-memory data store, is gaining more and more attention recently for its high-performance, diversified data types with powerful APIs, high availability, and scalable architecture. It has been successfully ranked at number 9 in the top 10 databases in the DB-Engine Complete Ranking since 2017. Even before that, it had been at the top of the key-value stores ranking provided by DB-Engine for quite a long time. From the early version, 2.x, to the latest version, 4.x, many fantastic features of Redis have been added to help those who want to deliver low-latency services in their business scenarios.
Based on the latest version of Redis 4.x, Redis Cookbook offers you both step-by-step recipes and relevant background information. It covers everything from a basic understanding of Redis data types to advanced aspects of Redis such as high availability, clustering, administration, and troubleshooting.
With the concept of Learning by doing is the best approach in mind, we have spared no effort to deliver the knowledge of Redis through real use cases in writing the recipes in this book. In other words, this book offers out-of-the-box solutions for many common development and maintenance problems. Especially on your personal computer, you will be able to catch the key points of each recipe easily by following the steps in the How to do it section of every recipe. Furthermore, it's not enough for you to know just how to reach your goal with Redis; explanatory notes of the steps you take within a certain task will be provided in the How it works... section. We also offer essential relevant information and necessary explanations of the internal workings of Redis in the There's more... section. The better you understand how Redis works, the more you can make informed decisions regarding the trade-offs that are involved in engineering. Every recipe is structured in this organized way.
Lastly, we do hope this book gives you a better understanding of Redis and enables you to learn more best practices when you use Redis in your environment.
