How to use Apache Kafka for message transmission and processing in distributed systems?

Apache Kafka is a distributed message streaming platform used for transmitting and processing large volumes of data in real-time.

Main steps for using Kafka in distributed systems:

1. Producers publish messages to Kafka topics. Topics are categories or channels where messages are sent.
2. Kafka brokers store and replicate topic data, ensuring fault tolerance.
3. Consumers subscribe to topics and read messages for further processing.
4. Consumer groups distribute load among multiple application instances.

Example of usage:

• Service A publishes order events to the "orders" topic.
• Service B subscribes to the "orders" topic and processes orders (e.g., updates database).

Kafka provides high performance, scalability, and reliability, making it suitable for systems with high data flow and asynchronous processing needs.