Amazon Web Services (AWS), through its ElastiCache service available at https://aws.amazon.com/elasticache/, offers a Redis protocol in-memory cache that provides you with the Redis command set but using Amazon's own backend. This includes functionality for automating common virtual machine tasks such as patch management and failure detection and recovery. Scaling with ElastiCache is also easier than other options because you can configure and add more Cache nodes through the AWS Management Console as your application's operational demands increase due to greater demands from your customers or internal clients in your organization. Pricing for ElastiCache varies depending on your usage where you pay only for the resources your ElastiCache nodes consumes while operating your application. Because ElasticCache is only Redis protocol compliant and does not use Redis server in the backend, there are some limitations that should be considered when using ElastiCache with your Redis...
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)
About the Author
About the Reviewers
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