Redis is an open-source, in-memory data structure store that can be used for caching, databases, and message brokering. As an in-memory store, it delivers significantly higher performance compared to traditional databases. Redis supports a wide range of use cases, including message brokering, key-value storage, caching, databases, Pub/Sub messaging, clustering, and ensuring high availability of data.

In this case study, we will focus on caching, one of the most common use cases of Redis. Redis offers high availability through replication, and its performance can be further enhanced by leveraging its clustering features.