Скачать или смотреть How Apache Kafka Works: Topics, Partitions, Brokers, and Consumer Groups

This video breaks down Kafka end‑to‑end using a clean mental model: producers write records to topic partitions, brokers store and replicate those logs, KRaft coordinates metadata and leader elections, and consumer groups poll partitions to scale processing safely. Learn why keys preserve order within a partition, how replication delivers durability, what consumer offsets and rebalances do, and practical tips for sizing partitions, monitoring lag, and setting retention.

What you’ll learn:

Producers, topics, and partitions: ordering by key and parallelism

Brokers and replication: leaders, followers, durability, and retention

KRaft controller quorum: leader elections and cluster metadata

Consumers and groups: polling, offsets, rebalancing, and throughput

Operations: partition count, replication factor, lag, and compression

Chapters:
0:00 Intro
0:24 Producers → topics → partitions
1:02 Broker storage and replication
1:38 KRaft and leader elections
2:05 Consumer groups and offsets
2:35 Operational tips and pitfalls
2:58 Key takeaways