go-kafka

topic:

topic is a category or feed name to which messages are published by producers and from which messages are consumed by consumers.

broker:

a broker is a server that hosts and manages Kafka topics, storing and distributing data partitions across multiple brokers in a Kafka cluster.

partitions:

partitions are horizontal slices of topics that allow data to be distributed across multiple brokers for scalability and parallel processing of messages by consumers.

                +---------------+
                |   Broker 1    |
                |               |
                | - Topic A     |
                |   - Partition 0
                |   - Partition 1
                |   - Partition 2
                +---------------+
                        |
                        |
                        v
                +---------------+
                |   Broker 2    |
                |               |
                | - Topic A     |
                |   - Partition 3
                |   - Partition 4
                |   - Partition 5
                +---------------+
                        |
                        |
                        v
                +---------------+
                |   Broker 3    |
                |               |
                | - Topic B     |
                |   - Partition 0
                |   - Partition 1
                +---------------+

• There are three brokers (Broker 1, Broker 2, Broker 3), each hosting one or more topics.
• Each topic (Topic A, Topic B) consists of one or more partitions, distributed across multiple brokers.
• Partitions within a topic allow for parallel processing and fault tolerance, with each partition being hosted on a single broker.

This diagram illustrates the distributed nature of Kafka topics and partitions across multiple brokers, allowing for scalability, fault tolerance, and efficient data processing.