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Author SHA1 Message Date
Daniel 1db280ae54
Merge 1331a017ca into 1cff6f5767 2024-03-03 00:08:06 -08:00
binhnguyennus 1cff6f5767 Jupiter: Config Driven Adtech Batch Ingestion Platform at Uber 2024-03-03 11:19:58 +08:00
Daniel 1331a017ca
Add PredictKube Kubernetes autoscaler 2022-02-15 23:03:22 +02:00
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@ -568,6 +568,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Scryer: Predictive Auto Scaling Engine at Netflix](https://medium.com/netflix-techblog/scryer-netflixs-predictive-auto-scaling-engine-a3f8fc922270)
* [Bouncer: Simple AWS Auto Scaling Rollovers at Palantir](https://medium.com/palantir/bouncer-simple-aws-auto-scaling-rollovers-c5af601d65d4)
* [Clusterman: Autoscaling Mesos Clusters at Yelp](https://engineeringblog.yelp.com/2019/02/autoscaling-mesos-clusters-with-clusterman.html)
* [PredictKube: an AI-based predictive autoscaler for Kubernetes](https://keda.sh/blog/2022-02-09-predictkube-scaler/)
* [Availability in Globally Distributed Storage Systems at Google](http://static.googleusercontent.com/media/research.google.com/en/us/pubs/archive/36737.pdf)
* [NodeJS High Availability at Yahoo](https://yahooeng.tumblr.com/post/68823943185/nodejs-high-availability)
* [Operations (11 parts) at LinkedIn](https://www.linkedin.com/pulse/introduction-every-day-monday-operations-benjamin-purgason)
@ -708,6 +709,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [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/)
* [AthenaX: Streaming Analytics Platform at Uber](https://eng.uber.com/athenax/)
* [Jupiter: Config Driven Adtech Batch Ingestion Platform at Uber](https://www.uber.com/en-SG/blog/jupiter-batch-ingestion-platform/)
* [Delta: Data Synchronization and Enrichment Platform at Netflix](https://medium.com/netflix-techblog/delta-a-data-synchronization-and-enrichment-platform-e82c36a79aee)
* [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/)