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Mastering Redis

Mastering Redis

By : Vidyasagar N V, Nelson
3.3 (3)
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Mastering Redis

Mastering Redis

3.3 (3)
By: Vidyasagar N V, 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 (13 chapters)
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12
Index

Chapter 3. Managing RAM – Tips and Techniques for Redis Memory Management

More than most data storage technologies, the effective usage of Redis requires an understanding of the computer's random access memory or RAM, as well as the network and disk latency to track down performance bottlenecks, resource planning, and allocation. With Redis loading all of your data into RAM, your application's writes and reads are constrained by the technical limits of your hardware and network connections then on slower hard disk read/writes operations used by more traditional relational databases like Oracle or MySQL. As we saw in the last chapter, the time complexity of your software and how it interacts with Redis becomes more important as a target for suitable optimization. This chapter starts with a review of a few of the memory-related directives that can be set in the redis.conf file for configuring Redis.

Next in this chapter on optimizing memory, is a section on memory...

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