While Redis and now, Redis Cluster fulfill many requirements for data storage in consumer and enterprise applications, other data-centered technologies may be required to completely meet the expectations and use cases of your projects. We'll start with a brief survey of the major types of data storage technology starting with a traditional SQL database followed by document and graph databases, search indexing, key-value, and the wide-column store. The upcoming sections will illustrate how Redis complements the NoSQL technologies of MongoDB, ElasticSearch, and Fedora Commons. In each case, we will see how Redis can be used to extend functionality or provide the "glue" technology to integrate with other systems by building upon your knowledge from previous chapters. We'll also examine some of the costs and possible hurdles with integrating Redis into another NoSQL or other data storage technology.
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