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


Any Redis application has two critical parts, namely the keys and the values that are stored in these keys. For most Redis solutions, the design of your key names is important whether you manually design a schema or use a Redis object mapper that hides the details behind a client layer of abstraction. The performance of all Redis's data structures and the corresponding write and access commands is evaluated using the big O notation, a method used in computer science to calculate the worst-case performance for an algorithm when this algorithm is given an increasing number of inputs. Using the big O notation, we can estimate the effectiveness of our Redis-based solutions by summarizing the performance of all our Redis commands in a function, method, or class in our client code. Next, we carry out a basic complexity analysis of Redis's strings, hashes, lists, and sets, while expanding on some advanced usage of Redis's sorted sets, bitstrings, and HyperLogLogs data structures.

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