In today's fast-paced development world, the ability to update application configuration on the fly-without redeploying or restarting your service is a game changer. While Spring Cloud Config is a popular solution, sometimes you want a lightweight, cloud-agnostic approach. That's where JedisPubSub comes in.

In modern microservices architectures, visibility into data access patterns is crucial. Whether for debugging, performance tuning, or audit logging, knowing exactly what commands are sent to your database can save hours of investigation. In this article, we'll explore how to implement a CommandListener in Redis OM Spring to intercept and log RediSearch commands.

Rate limiting is a critical mechanism that protects APIs from abuse, ensures fair resource allocation, and maintains system stability. In this article, I'll explain the implementation of a distributed rate limiter for Spring Boot applications using Kotlin and Redis.

In today's data-driven world, the ability to search through large datasets quickly and efficiently is crucial for any application. Traditional SQL databases, while powerful, can become bottlenecks when dealing with complex search queries on massive datasets. This is where RediSearch comes into play — a full-text search engine built on top of Redis that provides light and fast search capabilities.

In today's fast-paced development world, the ability to update application configuration on the fly-without redeploying or restarting your service is a game changer. While Spring Cloud Config is a popular solution, sometimes you want a lightweight, cloud-agnostic approach. That's where RedisConfig comes in.