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@ -609,6 +609,7 @@ An updated and organized reading list for illustrating the patterns of scalable,
* [Predictive CPU isolation of containers at Netflix](https://medium.com/netflix-techblog/predictive-cpu-isolation-of-containers-at-netflix-91f014d856c7)
* [Cloud Jewels: Estimating kWh in the Cloud at Etsy](https://codeascraft.com/2020/04/23/cloud-jewels-estimating-kwh-in-the-cloud/)
* [Unthrottled: Fixing CPU Limits in the Cloud (2 parts) at Indeed](https://engineering.indeedblog.com/blog/2019/12/unthrottled-fixing-cpu-limits-in-the-cloud/)
* [Extreme HTTP Performance Tuning: 1.2M API req/s on a 4 vCPU EC2 Instance](https://talawah.io/blog/extreme-http-performance-tuning-one-point-two-million/)
* [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)