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Cherami: Message Queue System for Transporting Async Tasks at Uber

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@ -180,6 +180,7 @@ An updated and curated list of selected readings to illustrate best practices in
* [Kafka in Socket Architecture (with a Comprehensive Comparison Table) at Trello](https://tech.trello.com/why-we-chose-kafka/)
* [Bullet: Forward-Looking Query Engine for Streaming Data at Yahoo](https://yahooeng.tumblr.com/post/161855616651/open-sourcing-bullet-yahoos-forward-looking)
* [Benchmarking Streaming Computation Engines at Yahoo](https://yahooeng.tumblr.com/post/135321837876/benchmarking-streaming-computation-engines-at)
* [Cherami: Message Queue System for Transporting Async Tasks at Uber](https://eng.uber.com/cherami/)
* [Messaging Service at Riot Games](https://engineering.riotgames.com/news/riot-messaging-service)
* [Event Stream Analytics with Druid (Search Engine meet Column DB) at Walmart](https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)
* [Analytics Pipeline (Kafka, Dataflow, BigQuery) at Teads.tv](http://highscalability.com/blog/2018/4/9/give-meaning-to-100-billion-events-a-day-the-analytics-pipel.html)