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refactor the Kafka part

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Benny Nguyen 2018-01-20 20:45:17 +08:00
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@ -70,8 +70,8 @@ Contributions are always welcome!
* [Understanding When to use RabbitMQ or Apache Kafka](https://content.pivotal.io/blog/understanding-when-to-use-rabbitmq-or-apache-kafka)
* [Running Kafka at scale at Linkedin](https://engineering.linkedin.com/kafka/running-kafka-scale)
* [Delaying Asynchronous Message Processing with RabbitMQ at Indeed](http://engineering.indeedblog.com/blog/2017/06/delaying-messages/)
* [Yelp's Real-time Data Pipeline with Kafka](https://engineeringblog.yelp.com/2016/07/billions-of-messages-a-day-yelps-real-time-data-pipeline.html)
* [Audits Kafka End-to-End at Uber](https://eng.uber.com/chaperone/)
* [Real-time Data Pipeline with Kafka at Yelp](https://engineeringblog.yelp.com/2016/07/billions-of-messages-a-day-yelps-real-time-data-pipeline.html)
* [Audit Kafka End-to-End at Uber (count each message exactly once, audit a message across tiers)](https://eng.uber.com/chaperone/)
* [Deduplication Techniques](https://en.wikipedia.org/wiki/Data_deduplication)
* [Real-time Deduping at Scale with Kafka-based Pipleline at Tapjoy](http://eng.tapjoy.com/blog-list/real-time-deduping-at-scale)
* [Delivering Billions of Messages Exactly Once: Deduping at Segment](https://segment.com/blog/exactly-once-delivery/)