Data Plane – Apache Kafka®'s Replication Protocol
https://cnfl.io/kafka-internals-101-m... | Apache Kafka® stores data durably and reliably, and its storage layer is different from the previous generation of systems in the messaging space where data is often missed or lost when a client isn't connected to the system.
In Kafka, multiple copies of data are maintained across a cluster to ensure data safety and achieve high availability and fault tolerance. Learn how Apache Kafka replication functions under the hood and how it contributes to higher durability and availability in this video featuring Jun Rao (Kafka Committer, PMC Member, VP of Kafka, and Co-Founder, Confluent). You will gain an understanding of the concepts behind leaders, followers, and replicas, as well as how replication is enabled and the role it plays in ensuring Kafka, delivers upon its data guarantees. This video is packed with details on writing events to Kafka, physical storage, the on-disk layout of data stored in Kafka, rebalancing data across brokers, replication strategy, in-sync replicas, observer replicas, replica lag, partition high watermark, and setting the replication factor.
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LEARN MORE
► Hands-Free Kafka Replication: https://www.confluent.io/blog/hands-f...
► Multi-region Clusters with Confluent Platform 5.4: https://www.confluent.io/blog/multi-r...
► Apache Kafka 101—Replication: https://developer.confluent.io/learn-...
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