Redis

High-Performance Caching and Messaging

In the DJPConnect project, Redis was a critical component for optimizing performance and enabling asynchronous communication. I have hands-on experience using Redis for two primary use cases:

1. Caching: I implemented caching strategies using Redis to store frequently accessed data, such as user sessions and permissions. This significantly reduced the load on our primary PostgreSQL database and decreased API response times.
2. Message Broker: Redis was used alongside RabbitMQ as a lightweight message broker for certain asynchronous tasks, helping to decouple our microservices.

Key Competencies

• Data Structures: Using core Redis data structures like Strings, Hashes, and Lists.
• Caching Patterns: Implementing caching strategies such as cache-aside to improve performance.
• Configuration: Basic configuration of Redis for persistence and memory management.
• Use Cases: Understanding when to use Redis for caching, session storage, or as a message queue.