Apache Kafka - Real-time Stream Processing (Master Class) - Kafka Work Distribution Architecture - Part 2

The video tutorial explains the roles of leader and follower brokers in a Kafka cluster. It covers how brokers manage leader and follower partitions, the responsibilities of leaders in handling producer and consumer requests, and the role of followers in replicating messages. The concept of the ISR list is introduced, detailing how it helps maintain synchronization between leaders and followers. The video also discusses handling leader failures, message commitment, and the importance of setting a minimum number of in-sync replicas to ensure data consistency.

What are the two types of partitions managed by a Kafka broker?

Explain the responsibilities of a leader broker in a Kafka cluster.

What happens when a follower falls behind the leader?

How does a follower broker stay in sync with the leader?

What are the common reasons for followers to fail to stay in sync?

What is the purpose of the ISR list in Kafka?

How does Kafka ensure that messages are not lost when a leader fails?

Describe the difference between committed and uncommitted messages in Kafka.

How does the leader broker handle message acknowledgments from producers?

What is the minimum in-sync replicas configuration and why is it important?