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Predictive CPU isolation of containers at Netflix

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@ -556,6 +556,7 @@ An organized reading list for illustrating the patterns behind scalable, reliabl
* [Pagelets Parallelize Server-side Processing at Yelp](https://engineeringblog.yelp.com/2017/07/generating-web-pages-in-parallel-with-pagelets.html)
* [Improving key expiration in Redis at Twitter](https://blog.twitter.com/engineering/en_us/topics/infrastructure/2019/improving-key-expiration-in-redis.html)
* [Ad Delivery Network Performance Optimization with Flame Graphs at MindGeek](https://medium.com/mindgeek-engineering-blog/ad-delivery-network-performance-optimization-with-flame-graphs-bc550cf59cf7)
* [Predictive CPU isolation of containers at Netflix](https://medium.com/netflix-techblog/predictive-cpu-isolation-of-containers-at-netflix-91f014d856c7)
* [Performance Optimization by Tuning Garbage Collection](https://confluence.atlassian.com/enterprise/garbage-collection-gc-tuning-guide-461504616.html)
* [Garbage Collection in Java Applications at LinkedIn](https://engineering.linkedin.com/garbage-collection/garbage-collection-optimization-high-throughput-and-low-latency-java-applications)
* [Garbage Collection in High-Throughput, Low-Latency Machine Learning Services at Adobe](https://medium.com/adobetech/engineering-high-throughput-low-latency-machine-learning-services-7d45edac0271)