The beginning of what eventually became the Redis cluster started with an announcement by Salvatore Sanfilippo in 2011 to the Redis e-mail list and a subsequent blog post, refer bullet point number 4 from Appendix, Sources, Chapter 6: Scaling with Redis Cluster and Sentinel. Earlier discussions about Redis clustering support started in 2010 with the first mention of the term redis-cluster in an e-mail message to the Redis-db listserv, refer bullet point number 5 in Appendix, Sources, Chapter 6: Scaling with Redis Cluster and Sentine. Development and testing of the Redis cluster continued from 2011 through 2015. In an October 2014 follow-up blog posting, Sanfilippo relates how over the 4+ years since his first commit in March 2011 related to Redis Cluster, he had to redesign, implement, and test the functionality of Redis Cluster on numerous occasions as he became more familiar with the challenges surrounding distributed computing at scale. During those years of development...
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)
About the Author
About the Reviewers
Advanced Key Management and Data Structures
Managing RAM – Tips and Techniques for Redis Memory Management
Programming Redis Part One – Redis Core, Clients, and Languages
Programming Redis Part Two – Lua Scripting, Administration, and DevOps
Scaling with Redis Cluster and Sentinel
Redis and Complementary NoSQL Technologies
Docker Containers and Cloud Deployments
Task Management and Messaging Queuing
Measuring and Managing Information Streams