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Using Machine Learning to Improve Streaming Quality at Netflix

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@ -41,6 +41,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [CP Databases and AP Databases](https://blog.andyet.com/2014/10/01/right-database)
* [Scale Up vs Scale Out](https://www.brianjgraf.com/2013/05/17/scalability-scale-up-scale-out-care/)
* [Scale Up vs Scale Out: Hidden Costs](https://blog.codinghorror.com/scaling-up-vs-scaling-out-hidden-costs/)
* [Best Practices for Scaling Out](https://blog.openshift.com/best-practices-for-horizontal-application-scaling/)
* [ACID and BASE](https://neo4j.com/blog/acid-vs-base-consistency-models-explained/)
* [Blocking/Non-Blocking and Sync/Async](https://blogs.msdn.microsoft.com/csliu/2009/08/27/io-concept-blockingnon-blocking-vs-syncasync/)
* [Performance and Scalability of Databases](https://use-the-index-luke.com/sql/testing-scalability)
@ -77,8 +78,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [Design for Loose-coupling](http://bulgerpartners.com/how-loosely-coupled-architectures-are-helping-the-modernization-of-legacy-software/)
* [Design for Resiliency](http://highscalability.com/blog/2012/12/31/designing-for-resiliency-will-be-so-2013.html)
* [Design for Self-healing](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/self-healing)
* [Design for Scaling Out](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/scale-out)
* [Best Practices for Scaling Out](https://blog.openshift.com/best-practices-for-horizontal-application-scaling/)
* [Design for Scaling Out](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/scale-out)
* [Design for Evolution](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/design-for-evolution)
* [Learn from Mistakes](http://highscalability.com/blog/2013/8/26/reddit-lessons-learned-from-mistakes-made-scaling-to-1-billi.html)
@ -348,6 +348,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [Machine Learning (2 parts) at Condé Nast](https://technology.condenast.com/story/handbag-brand-and-color-detection)
* [Machine Learning Applications In The E-commerce Domain (4 parts) at Rakuten](https://techblog.rakuten.co.jp/2017/07/12/machine-learning-applications-in-the-e-commerce-domain-4/)
* [Venue Rating System at Foursquare](https://engineering.foursquare.com/finding-the-perfect-10-how-we-developed-the-foursquare-venue-rating-system-c76b08f7b9b3)
* [Using Machine Learning to Improve Streaming Quality at Netflix](https://medium.com/netflix-techblog/using-machine-learning-to-improve-streaming-quality-at-netflix-9651263ef09f)
* [Distributed Source Code and Configuration Files Management](https://betterexplained.com/articles/intro-to-distributed-version-control-illustrated/)
* [Distributed Version Control Systems: A Not-So-Quick Guide Through](https://www.infoq.com/articles/dvcs-guide)
* [Stemma: Distributed Git Server at Palantir](https://medium.com/@palantir/stemma-distributed-git-server-70afbca0fc29)