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Kafka's Cluster Replication Design

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Kafka's Cluster Replication Design

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Today’s data climate is fast-paced and it’s not slowing down. Here’s why your current integration solution is not enough. Brought to you in partnership with Liaison Technologies.

Kafka, the distributed pub-sub messaging system designed by LinkedIn and used also at Twitter and Square, is some powerful tech.  This tutorial on intra-cluster replication, a relatively new feature, is a good tutorial on the subject written by Jun Rao, a staff engineer at LinkedIn.

With replication, Kafka clients will get the following benefits:
1. A producer can continue to publish messages during failure and it can choose between latency and durability, depending on the application.
2. A consumer continues to receive the correct messages in real time, even when there is failure.

--Jun Rao, Intra-cluster Replication in Apache Kafka

For more info on the design and the implementation, check out the Kafka Replication Wiki.

Is iPaaS solving the right problems? Not knowing the fundamental difference between iPaaS and iPaaS+ could cost you down the road. Brought to you in partnership with Liaison Technologies.

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