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Introduction

Explore the fundamental principles of data replication within Kafka to understand how keeping multiple copies across machines enhances fault tolerance, local data access, and read scalability. Discover the main replication algorithms—single leader, multi leader, and leaderless—and their trade-offs to help you grasp how Kafka manages data consistency and availability in distributed environments.

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Replication

Keeping a copy of the same data on multiple machines connected by a network is known as “Replication”.

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Why Replicate?

There are several reasons why data must be replicated. Some include:

  • Keeping data geographically closer to the ...