Spring Boot with Redis cache

What is Redis Cache:

Redis (Remote Dictionary Server) Cache is an open-source, in-memory data structure store, used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams. Redis is designed for speed and efficiency, leveraging the ability to read from and write to memory, which is much faster than disk-based storage.

Motivation of Using Redis:

High Performance and Scalability

• Fast Data Access: Redis is an in-memory data store, providing extremely fast read and write access to data, which is crucial for applications requiring high throughput and low latency.
• Scalability: Redis supports master-slave replication, allowing it to scale out and handle more data and connections. This makes it suitable for applications with growing data needs or user bases.

Effective Caching

• Reduced Latency: By caching frequently accessed data, you can significantly reduce the latency of data access, improving the overall performance of your application.
• Load Reduction: Caching can also reduce the load on your primary database, thereby increasing its longevity and reducing the likelihood of performance bottlenecks.

Session Management

• Distributed Sessions: In microservices architectures or serverless applications, managing session state can be challenging. Redis offers a simple and efficient way to store session information, making it accessible across multiple services or instances.
• Persistence and Expiration: Redis allows you to have both volatile and persistent storage with configurable expiration times for data, making it ideal for short-lived data like web session information.