Tech dive

Understand how Kafka consumers remember their position, why crashes can cause duplicates or skipped work, and what exactly-once processing really requires.

Understand how Kafka copies partitions across brokers, tracks in-sync replicas, elects new leaders after failures, and keeps data available when machines go down.

Understand how Kafka distributes partitions across consumers in a group, what happens when consumers join or fail, and why partitions define the limit of parallel consumption.

Understand Apache Kafka’s core architecture by following an event through producers, topics, partitions, brokers and consumers.