From 7848897f6481cae5d9f2c1ec940830156f88c7fb Mon Sep 17 00:00:00 2001 From: binhnguyennus Date: Tue, 27 Aug 2019 07:47:23 +0800 Subject: [PATCH] remove two dead links --- README.md | 2 -- 1 file changed, 2 deletions(-) diff --git a/README.md b/README.md index 7bdb615..8b4ac93 100644 --- a/README.md +++ b/README.md @@ -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/)