This chapter started with some memory-related directives that can be set and then we looked at the various policies for key eviction when Redis reaches the limits of its available memory. Different memory-efficient encoding for small hashes, lists, sorted sets, and sets under special conditions, sets were examined next. We then looked at using bitmap strings as random access arrays followed by using hashes more effectively as a high-level key-value store that is more memory efficient. Finally, we took a look at how to use the Redis latency monitor mode to track problematic and long-running Redis commands followed by a couple of tips for improving running Redis on Linux. The next chapter switches the focus to software development and starting with a tour of Redis's C source code and then switching to using Redis clients using three different programming languages.
Mastering Redis
By :
Mastering Redis
By:
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
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Why Redis?
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
Sources
Index
Customer Reviews