Can you explain how a Kafka Topic is organized and operates?

Kafka Topic is a logical category or stream of messages to which data is published and from which consumers read.

How a Topic is organized:

• Partitions: each Topic is divided into several partitions — ordered, immutable sequences of messages. Partitions allow scaling processing and provide parallelism.
• Offset: each message in a partition has a unique sequential number — offset, which consumers use to track which messages have already been read.
• Replication: partitions can have replicas on different brokers for fault tolerance.

How a Topic works:

1. A producer sends messages to the Topic, Kafka distributes them across partitions (e.g., by key or round-robin).
2. Messages are written to the end of partitions and stored on disk.
3. Consumers read messages from partitions, using the offset they control themselves.

Thus, a Topic provides an ordered, scalable, and fault-tolerant message exchange system.