What problem does Redis generally solve?

Redis is a high-performance in-memory data store that addresses several key tasks:

• Caching: reduces load on the database and speeds up access to frequently used data.
• Session storage: due to its fast operation and TTL (time-to-live) support, Redis is often used for storing user sessions.
• Queues and pub/sub: Redis supports data structures that enable message queues and publish/subscribe systems.
• Support for various data structures: strings, lists, sets, hashes, sorted sets, etc., which expand data storage and processing capabilities.

Overall, Redis solves the problem of fast data access and management in real-time, providing low latency and high throughput, which is critical for scalable and responsive applications.