What is the main purpose of using Apache Kafka in data processing systems?

The main goal of using Apache Kafka is to organize a high-performance, scalable, and fault-tolerant messaging and stream processing system in real time.

Kafka allows:

• Reliable transmission of large volumes of data between systems.
• Processing events and logs in real time.
• Storing data as a sequence of records (logs) for subsequent analysis.
• Horizontally scaling the system by partitioning data.

An example of use: collecting and processing logs from multiple servers in real time for monitoring and analytics.