Kas saaksid loetleda Kafka kasutatavate peamised abstraktsioonide tüübid?

The main abstractions in Apache Kafka are as follows:

• Topic (Teema) — a logical category or name of the channel where messages are published.
• Partition (Partīcija) — a physical part of the topic that stores a sequence of messages. The topic is divided into multiple partitions for scalability and parallelism.
• Producer (Ražotājs) — a component that publishes messages to the topic.
• Consumer (Patērētājs) — a component that reads messages from the topic.
• Consumer Group (Patērētāju grupa) — a group of consumers that collectively read messages from the topic, ensuring load balancing.
• Broker (Brokeris) — a Kafka server that stores data and processes requests.
• Offset (Novirze) — a unique identifier of a message's position within a partition, used to track read messages.

These abstractions enable organizing a reliable, scalable, and fault-tolerant message exchange system.