Redis's rich ecosystem offers a number of object mappers for Redis that hide the key naming management from the designer and the user while offering, through client-side code, a functionality that may be present in other data storage technologies. Examining how a Redis object mapper implements this functionality with a particular pattern of keys and data structures can help you learn about existing patterns and allow you to extend and improve your own Redis-based applications. Using a Redis object mapper can also be helpful if you do not want to re-implement a functionality that may already exist and run it in production environments in your code base. A few of the more popular programming languages have these object mapper projects that all provide ways to persist object semantics and data in Redis while offering more object-oriented methodologies and techniques for the developer who may be more familiar with these techniques and ideas in their preferred...
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