Tell us what you know about Apache Kafka. What does a topic consist of?

Apache Kafka is a distributed platform for stream processing that allows publishing, storing, and processing streams of events in real time.

A topic in Kafka is a logical category or channel to which messages are published. A topic consists of multiple partitions — sequential logs that store messages in the order they are written. Each partition is ordered and has a unique offset for messages.

Main components of a topic:

• Partitions: enable scaling of the topic and provide parallelism.
• Messages: data published to the topic.
• Offsets: unique identifiers of messages within a partition, used to track the consumer's position.

This architecture allows Kafka to efficiently process large volumes of data with high performance and reliability.