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Kafka: A Distributed Messaging System for Log Processing

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This paper introduces Kafka, a novel distributed messaging system designed for high-throughput log processing. Kafka addresses limitations in existing messaging systems and log aggregators by offering a scalable, efficient architecture with a simple API. Key features include a pull-based consumption model, efficient storage and data transfer mechanisms, and the use of ZooKeeper for distributed coordination. Performance tests demonstrate Kafka's superior throughput compared to ActiveMQ and RabbitMQ, highlighting its suitability for handling massive volumes of log data. The authors detail Kafka's implementation at LinkedIn, illustrating its use in both online and offline applications.

https://notes.stephenholiday.com/Kafka.pdf

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43 episodes

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Manage episode 487366633 series 3670304
Content provided by The Binary Breakdown. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Binary Breakdown or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This paper introduces Kafka, a novel distributed messaging system designed for high-throughput log processing. Kafka addresses limitations in existing messaging systems and log aggregators by offering a scalable, efficient architecture with a simple API. Key features include a pull-based consumption model, efficient storage and data transfer mechanisms, and the use of ZooKeeper for distributed coordination. Performance tests demonstrate Kafka's superior throughput compared to ActiveMQ and RabbitMQ, highlighting its suitability for handling massive volumes of log data. The authors detail Kafka's implementation at LinkedIn, illustrating its use in both online and offline applications.

https://notes.stephenholiday.com/Kafka.pdf

  continue reading

43 episodes

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