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Apache Kafka & Stream Processing Fundamentals · Lesson

Replication & Fault Tolerance

Learn how Kafka ensures data safety and high availability through topic replication across brokers.

Why Data Safety Matters

Imagine you have important data. If it's stored in only one place, and that place fails, your data is gone!

In distributed systems like Kafka, ensuring data isn't lost and is always available is crucial. This is where replication comes in.

Kafka's Data Duplication

Replication in Kafka means making multiple copies of your data (messages) and storing them on different Kafka brokers (servers).

This simple idea provides two massive benefits:

  • Fault Tolerance: If one broker fails, copies exist elsewhere.
  • High Availability: Data remains accessible even during outages.

All lessons in this course

  1. Replication & Fault Tolerance
  2. Controller & ZooKeeper/Kraft Roles
  3. Designing a Kafka Cluster
  4. Rack Awareness & Multi-AZ Placement
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