From 37da545bcf69b2b3f432d417fbb0a70568026213 Mon Sep 17 00:00:00 2001 From: Benny Nguyen Date: Sat, 20 Jan 2018 20:45:17 +0800 Subject: [PATCH] refactor the Kafka part --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 2631ae5..1cb78e6 100644 --- a/README.md +++ b/README.md @@ -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/)