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Kafka

  • Published on
    Uber has one of the largest deployments of Apache Kafka in the world, processing trillions of messages and multiple petabytes of data per day. As Figure 1 shows, today we position Apache Kafka as a cornerstone to Uber’s technology stack and build a complex ecosystem on top of it to empower a large number of different workflows. These include a pub/sub message bus to pass event data from the rider and driver apps, enabling a streaming analytics platform (e.g. Apache Samza, Apache Flink), streaming database changelogs to the downstream subscribers, and ingesting all sorts of data into Uber’s Apache Hadoop data lake.
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    我忘了上下文是什么,我估计应该是这篇(官网上的文档)-《三台破机器扛2百万tps 》:https://engineering.linkedin.com/kafka/benchmarking-apache-kafka-2-million-writes-second-three-cheap-machines