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Brooklin: Distributed Service for Near Real-Time Data Streaming at LinkedIn

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@ -244,6 +244,7 @@ An organized reading list for illustrating the patterns of scalable, reliable, a
* [Distributed Messaging, Queuing, and Event Streaming](https://arxiv.org/pdf/1704.00411.pdf)
* [Cape: Event Stream Processing Framework at Dropbox](https://blogs.dropbox.com/tech/2017/05/introducing-cape/)
* [Druid: Event Stream Analytics at Walmart](https://medium.com/walmartlabs/event-stream-analytics-at-walmart-with-druid-dcf1a37ceda7)
* [Brooklin: Distributed Service for Near Real-Time Data Streaming at LinkedIn](https://engineering.linkedin.com/blog/2019/brooklin-open-source)
* [Samza: Stream Processing System for Latency Insighs at LinkedIn](https://engineering.linkedin.com/blog/2018/04/samza-aeon--latency-insights-for-asynchronous-one-way-flows)
* [Bullet: Forward-Looking Query Engine for Streaming Data at Yahoo](https://yahooeng.tumblr.com/post/161855616651/open-sourcing-bullet-yahoos-forward-looking)
* [EventHorizon: Tool for Watching Events Streaming at Etsy](https://codeascraft.com/2018/05/29/the-eventhorizon-saga/)