Why were two message brokers — Kafka and RabbitMQ — used simultaneously?

Using Kafka and RabbitMQ simultaneously is often associated with different message processing requirements:

• Kafka is well-suited for processing large data streams with high throughput and the ability to store message history. It is used for event streams, analytics, and logging.
• RabbitMQ is more focused on complex message routing, guaranteed delivery, and supporting various protocols. It is often used for integration between services where reliability and acknowledgment of receipt are important.

Thus, in a project, Kafka could be used for scalable event processing, and RabbitMQ for reliable communication between microservices with delivery guarantees.