What components does Kafka architecture include and how do they interact?

The architecture of Apache Kafka includes several key components that interact to ensure reliable message delivery:

• Producer — an application that sends messages to Kafka.
• Broker — a Kafka server that receives, stores, and forwards messages. There can be multiple brokers in a cluster.
• Topic — a logical category or channel where messages are published. Topics are divided into partitions for scalability.
• Partition — a part of a topic that stores an ordered set of messages. Each partition is stored on a single broker.
• Consumer — an application that reads messages from a topic.
• Consumer Group — a group of consumers that jointly read messages from a topic, distributing partitions among themselves.
• ZooKeeper — a service used for coordinating brokers and managing metadata (replaced by Kafka's own mechanism in newer versions).

Interaction:

1. Producer sends messages to a specific topic.
2. Broker stores messages in the topic's partitions.
3. Consumer subscribes to the topic and reads messages from partitions.
4. Consumer Group ensures load balancing and guarantees that each message is processed by one consumer in the group.

Thus, Kafka provides a high-performance, scalable, and fault-tolerant messaging system.