Book Image

Mastering Redis

By : Jeremy Nelson
Book Image

Mastering Redis

By: Jeremy Nelson

Overview of this book

Redis is the most popular, open-source, key value data structure server that provides a wide range of capabilities on which multiple platforms can be be built. Its fast and flexible data structures give your existing applications an edge in the development environment. This book is a practical guide which aims to help you deep dive into the world of Redis data structure to exploit its excellent features. We start our journey by understanding the need of Redis in brief, followed by an explanation of Advanced key management. Next, you will learn about design patterns, best practices for using Redis in DevOps environment and Docker containerization paradigm in detail. After this, you will understand the concept of scaling with Redis cluster and Redis Sentinel , followed by a through explanation of incorporating Redis with NoSQL technologies such as Elasticsearch and MongoDB. At the end of this section, you will be able to develop competent applications using these technologies. You will then explore the message queuing and task management features of Redis and will be able to implement them in your applications. Finally, you will learn how Redis can be used to build real-time data analytic dashboards, for different disparate data streams.
Table of Contents (18 chapters)
Mastering Redis
About the Author
About the Reviewers


The biggest change to Redis in the release of the 3.x series is the inclusion of a working, stable, and production-ready Redis Cluster. Redis Cluster is the preferred method of scaling and splitting your data among different Redis instances running on separate machines. While Redis Cluster implements one method of hashing incoming keys through the use of a composite partitioning method and that combines features from hash and range partitioning, there are other options to scale your data through the use of client-side partitioning methods, a few which were illustrated in this chapter. We also examined a popular open source alternative for sharding and partitioning data from Twitter called Twemproxy that provides an intermediary proxy that handles the hash and assignment logic between the application and the Redis instance backends. We then turned back and examined in detail some of the features and functionality of Redis Cluster including its resharding, failover, replacing, and...