Spring Boot Redis : How did I Improve User Login Experience by Caching?
Redis is an open-source, in-memory data store known for its versatility and high-performance capabilities. Often referred to as a “data structure server,” Redis provides a wide range of data structures like strings, lists, sets, hashes, and more, making it suitable for various use cases, including caching, real-time analytics, session management, and message queuing. Its in-memory nature enables lightning-fast data access and retrieval, while its ability to persist data ensures durability
Redis can help make successive login and logout calls faster in a web application by efficiently managing user sessions and reducing the need for repeated authentication and database queries. Let’s explore how I achieved a improvement in login times and successive logins by transitioning from maintaining sessions in my primary database to a more efficient approach using Caching, Optimizing Database Queries, Connection Pooling, and Session Management:
Session Management with Redis:
- When a user logs in, their session data (e.g., username, authentication token) is stored in Redis.
