Moreover, topics are immutable records that exist as long as the use case requires. Topics can have multiple event producers and event consumers, a feature that allows apps to scale flexibly. Event consumers listen to these topics and process the events accordingly. With Kafka, event producers emit events to topics, which store and organize the events in the order they occur. These recorded and distributed logs are known as topics. Apache Kafka, a modern event streaming platformĪpache Kafka is an open-source event streaming platform that keeps a recorded log of the events that pass through it and distributes this log to the services and event consumers in the application. Yes, both message brokers like RabbitMQ and event streaming routers like Apache Kafka receive events and pass them along to consumers, but how they do this is very different. ![]() The advent of event streaming message brokers like Apache Kafka transformed event-driven architecture and its possibilities. Since event messages are deleted upon successful delivery, there is no ability to replay events.Tight coupling of consumers to the message broker complicates maintenance of consumers,. ![]()
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