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binhnguyennus 2019-08-27 07:47:23 +08:00
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@ -515,7 +515,6 @@ An organized reading list for illustrating the patterns of scalable, reliable, a
* [Autoscaling](https://medium.com/@BotmetricHQ/top-11-hard-won-lessons-learned-about-aws-auto-scaling-5bfe56da755f)
* [Autoscaling Pinterest](https://medium.com/@Pinterest_Engineering/auto-scaling-pinterest-df1d2beb4d64)
* [Autoscaling Based on Request Queuing at Square](https://medium.com/square-corner-blog/autoscaling-based-on-request-queuing-c4c0f57f860f)
* [Autoscaling Applications at PayPal](https://www.paypal-engineering.com/2017/08/16/autoscaling-applications-paypal/)
* [Autoscaling Jenkins at Trivago](http://tech.trivago.com/2017/02/17/your-definite-guide-for-autoscaling-jenkins/)
* [Autoscaling Pub-Sub Consumers at Spotify](https://labs.spotify.com/2017/11/20/autoscaling-pub-sub-consumers/)
* [Autoscaling Bigtable Clusters based on CPU Load at Spotify](https://labs.spotify.com/2018/12/18/bigtable-autoscaler-saving-money-and-time-using-managed-storage/)
@ -629,7 +628,6 @@ An organized reading list for illustrating the patterns of scalable, reliable, a
* [HALO: Hardware Analytics and Lifecycle Optimization at Facebook](https://code.fb.com/data-center-engineering/hardware-analytics-and-lifecycle-optimization-halo-at-facebook/)
* [RBEA: Real-time Analytics Platform at King](https://techblog.king.com/rbea-scalable-real-time-analytics-king/)
* [AresDB: GPU-Powered Real-time Analytics Engine at Uber](https://eng.uber.com/aresdb/)
* [Gimel: Analytics Data Processing Platform at PayPal](https://www.paypal-engineering.com/2018/04/17/gimel/)
* [AthenaX: Streaming Analytics Platform at Uber](https://eng.uber.com/athenax/)
* [Keystone: Real-time Stream Processing Platform at Netflix](https://medium.com/netflix-techblog/keystone-real-time-stream-processing-platform-a3ee651812a)
* [Databook: Turning Big Data into Knowledge with Metadata at Uber](https://eng.uber.com/databook/)