Example Concept: Redis serves as an in-memory caching layer that stores frequently accessed data, such as session information, user profiles, or computed results, to minimize database queries. Its key-value store architecture allows for rapid data access, and features like data persistence, replication, and support for complex data types (e.g., lists, sets, hashes) enhance its utility in distributed systems and real-time applications.