# Kafka Use Cases

**Kafka**

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**Data Streaming** Kafka can stream data in real time from various sources, such as sensors, applications, and databases. This data can then be processed and analyzed in real-time or stored for later analysis.

**Log Aggregation** Kafka can be used to aggregate logs from various sources. This can help improve system logs' visibility and facilitate troubleshooting.

**Message Queuing** Kafka can decouple applications and services as a message queue. This can help to improve the scalability and performance of applications.

**Web Activity Tracking** Kafka can track web activity in real-time. This data can then be used to analyze user behavior and improve the user experience.

**Data replication** Kafka can be used to replicate data between different systems. This can help to ensure that data is always available and that it is consistent across systems.

