Book Image

Mastering Redis

By : Vidyasagar N V, Nelson
Book Image

Mastering Redis

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)
12
Index

Linux containers

Docker containers are based on already existing functionality, such as cgroups and namespaces, that was in the Linux kernel prior to the first Docker release in 2013. In the Linux kernel, cgroups is a feature that isolates and limits CPU, memory, disk I/O, and network access processes that are all bound by the same criteria. cgroups also capture all STDOUT, STDERR, and STDIN output from a container and store the results in accessible logs from outside the container itself. Related to cgroups, kernel namespaces allow groups of processes to cluster together such that these processes are isolated and cannot access other resources in the OS. Specific Linux subsystems that have their own namespaces include the PID namespace, network namespace, mount namespace, IPC namespace, and user namespace, that all contain the processes to a single "virtual" view of the OS without have even knowledge of, other system or user processes that may be also running in the Linux machine...