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

Approaches to partitioning data

Partitioning data, where keys are divided and assigned to specific instances, is an important strategy for breaking up large databases or datasets that cannot be loaded into any single machine's available memory. With partitioning, computation and resources are no longer limited to what is available to a single Redis instance but expands and scales your application to include multiple processor cores and machines running and connecting to other Redis instances through network interfaces, routers, and adapters to other machines.

There are usually three different avenues for partitioning data with Redis—client-side partitioning, proxy assisted partitioning, and query routing. In client-side partitioning, the partitioning logic is contained in the client code that selects the correct partition or Redis node based on either an algorithm, storing extra information, or some combination of the two. With proxy-assisted partitioning, Redis clients connect to a proxy...