How to: Performance
* [Performance Optimization on OS, Storage, Database, Network](https://stackify.com/application-performance-metrics/)
	* [Improving Performance with Background Data Prefetching at Instagram](https://engineering.instagram.com/improving-performance-with-background-data-prefetching-b191acb39898)
	* [Fixing Linux filesystem performance regressions at LinkedIn](https://engineering.linkedin.com/blog/2020/fixing-linux-filesystem-performance-regressions)
	* [Compression Techniques to Solve Network I/O Bottlenecks at eBay](https://www.ebayinc.com/stories/blogs/tech/how-ebays-shopping-cart-used-compression-techniques-to-solve-network-io-bottlenecks/)
	* [Optimizing Web Servers for High Throughput and Low Latency at Dropbox](https://dropbox.tech/infrastructure/optimizing-web-servers-for-high-throughput-and-low-latency)
	* [Linux Performance Analysis in 60.000 Milliseconds at Netflix](https://medium.com/netflix-techblog/linux-performance-analysis-in-60-000-milliseconds-accc10403c55)
	* [Live Downsizing Google Cloud Persistent Disks (PD-SSD) at Mixpanel](https://engineering.mixpanel.com/2018/07/31/live-downsizing-google-cloud-pds-for-fun-and-profit/)
	* [Decreasing RAM Usage by 40% Using jemalloc with Python & Celery at Zapier](https://zapier.com/engineering/celery-python-jemalloc/)
	* [Reducing Memory Footprint at Slack](https://slack.engineering/reducing-slacks-memory-footprint-4480fec7e8eb)
	* [Continuous Load Testing at Slack](https://slack.engineering/continuous-load-testing/)
	* [Performance Improvements at Pinterest](https://medium.com/@Pinterest_Engineering/driving-user-growth-with-performance-improvements-cfc50dafadd7)
	* [Server Side Rendering at Wix](https://www.youtube.com/watch?v=f9xI2jR71Ms)
	* [30x Performance Improvements on MySQLStreamer at Yelp](https://engineeringblog.yelp.com/2018/02/making-30x-performance-improvements-on-yelps-mysqlstreamer.html)
	* [Optimizing APIs at Netflix](https://medium.com/netflix-techblog/optimizing-the-netflix-api-5c9ac715cf19)
	* [Performance Monitoring with Riemann and Clojure at Walmart](https://medium.com/walmartlabs/performance-monitoring-with-riemann-and-clojure-eafc07fcd375)
	* [Performance Tracking Dashboard for Live Games at Zynga](https://www.zynga.com/blogs/engineering/live-games-have-evolving-performance)
	* [Optimizing CAL Report Hadoop MapReduce Jobs at eBay](https://www.ebayinc.com/stories/blogs/tech/optimization-of-cal-report-hadoop-mapreduce-job/)
	* [Performance Tuning on Quartz Scheduler at eBay](https://www.ebayinc.com/stories/blogs/tech/performance-tuning-on-quartz-scheduler/)
	* [Profiling C++ (Part 1: Optimization, Part 2: Measurement and Analysis) at Riot Games](https://engineering.riotgames.com/news/profiling-optimisation)
	* [Profiling React Server-Side Rendering at HomeAway](https://medium.com/homeaway-tech-blog/profiling-react-server-side-rendering-to-free-the-node-js-event-loop-7f0fe455a901)
	* [Hardware-Assisted Video Transcoding at Dailymotion](https://medium.com/dailymotion-engineering/hardware-assisted-video-transcoding-at-dailymotion-66cd2db448ae)
	* [Cross Shard Transactions at 10 Million RPS at Dropbox](https://dropbox.tech/infrastructure/cross-shard-transactions-at-10-million-requests-per-second)
	* [API Profiling at Pinterest](https://medium.com/@Pinterest_Engineering/api-profiling-at-pinterest-6fa9333b4961)
	* [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)
	* [Improving HDFS I/O Utilization for Efficiency at Uber](https://eng.uber.com/improving-hdfs-i-o-utilization-for-efficiency/)
	* [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/)
* [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)
	* [Garbage Collection i