What have you encountered with message brokers?

In my work, I have dealt with several message brokers, including RabbitMQ, Apache Kafka, and Redis Streams.

• RabbitMQ was used for microservice integration, where guaranteed message delivery and complex routing are important. For example, for processing orders in an e-commerce system, where messages pass through multiple queues and services.

• Kafka was used for analytics systems and real-time event processing. Thanks to its high throughput and ability to store event logs, Kafka is well-suited for building streaming applications and data aggregation.

• Redis Streams was used for simple queues and temporary message storage with low latency, when complex routing was not required.

Overall, the choice of broker depends on performance requirements, delivery guarantees, routing complexity, and data volume.