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Rearrange the sections: move HTTP Caching near Load Balancing and Concurrency near Parallel, look better!

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@ -180,6 +180,15 @@ A curated list of selected readings to illustrate Scalability, Availability, and
* [Using CDN to Improve Site Performance at Coursera](https://building.coursera.org/blog/2015/07/09/improving-coursera-global-site-performance-a-head-to-head-cdn-battle-with-production-traffic/)
* [Strategy: Caching 404s Saved 66% On Server Time at The Onion](http://highscalability.com/blog/2010/3/26/strategy-caching-404s-saved-the-onion-66-on-server-time.html)
* [Increasing Application Performance with HTTP Cache Headers](https://devcenter.heroku.com/articles/increasing-application-performance-with-http-cache-headers)
* [Load Balancing](https://blog.vivekpanyam.com/scaling-a-web-service-load-balancing/)
* [Introduction to Modern Network Load Balancing and Proxying](https://blog.envoyproxy.io/introduction-to-modern-network-load-balancing-and-proxying-a57f6ff80236)
* [Load Balancing infrastructure to support more than 1.3 billion users at Facebook](https://www.usenix.org/conference/srecon15europe/program/presentation/shuff)
* [DHCPLB: Open Source Load Balancer for DHCP at Facebook](https://code.facebook.com/posts/1734309626831603/dhcplb-an-open-source-load-balancer/)
* [Load Balancing with Eureka at Netflix](https://medium.com/netflix-techblog/netflix-shares-cloud-load-balancing-and-failover-tool-eureka-c10647ef95e5)
* [Load Balancing at Yelp](https://engineeringblog.yelp.com/2017/05/taking-zero-downtime-load-balancing-even-further.html)
* [Load Balancing at Github](https://githubengineering.com/introducing-glb/)
* [Consistent Hashing to Improve Load Balancing at Vimeo](https://medium.com/vimeo-engineering-blog/improving-load-balancing-with-a-new-consistent-hashing-algorithm-9f1bd75709ed)
* [UDP Load Balancing at 500 pixel](https://developers.500px.com/udp-load-balancing-with-keepalived-167382d7ad08)
* [Concurrency](http://joeduffyblog.com/2016/11/30/15-years-of-concurrency/)
* [Message-Passing Concurrency](https://link.springer.com/chapter/10.1007/978-3-642-35170-9_11)
* [Software Transactional Memory](https://dl.acm.org/citation.cfm?id=3037750)
@ -196,6 +205,14 @@ A curated list of selected readings to illustrate Scalability, Availability, and
* [Erlang in Riot Chat Server](https://engineering.riotgames.com/news/chat-service-architecture-servers)
* [How Discord Scaled Elixir to Five Millions Concurrent Users](https://blog.discordapp.com/scaling-elixir-f9b8e1e7c29b)
* [Mnesia: A Distributed DBMS Rooted in Concurrency](https://www.developer.com/db/article.php/3864331/Mnesia-A-Distributed-DBMS-Rooted-in-Concurrency.htm)
* [Parallel Computing](https://blogs.msdn.microsoft.com/ddperf/2009/05/02/are-we-taking-advantage-of-parallelism/)
* [SPMD (Single Program Multiple Data): The Genetic Pattern](https://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-186.html)
* [Master/Worker Pattern](https://docs.gigaspaces.com/sbp/master-worker-pattern.html)
* [Loop Parallelism Pattern: Extracting parallel tasks from loops](https://www.cs.umd.edu/class/fall2001/cmsc411/projects/unroll/main.htm)
* [Fork/Join Pattern: Good for recursive data processing](http://highscalability.com/learn-how-exploit-multiple-cores-better-performance-and-scalability)
* [Map-Reduce: Born for Simplified Data Processing on Large Clusters](http://static.googleusercontent.com/media/research.google.com/en/us/archive/mapreduce-osdi04.pdf)
* [On the Death of Map-Reduce - Henry Robinson, Cloudera](http://the-paper-trail.org/blog/the-elephant-was-a-trojan-horse-on-the-death-of-map-reduce-at-google/)
* [Parallelize the rendering of web pages: Use case of Yelp.com](https://engineeringblog.yelp.com/2017/07/generating-web-pages-in-parallel-with-pagelets.html)
* [Event-Driven Architecture](https://martinfowler.com/articles/201701-event-driven.html)
* [Messaging](https://www.ibm.com/support/knowledgecenter/en/SSAW57_8.5.5/com.ibm.websphere.nd.doc/ae/cjt1004_.html)
* [Publish-Subscribe](https://aws.amazon.com/pub-sub-messaging/)
@ -218,24 +235,7 @@ A curated list of selected readings to illustrate Scalability, Availability, and
* [Event Sourcing and Stream Processing at Scale](https://martin.kleppmann.com/2016/01/29/event-sourcing-stream-processing-at-ddd-europe.html)
* [Scaling Event Sourcing for Netflix Downloads](https://www.infoq.com/presentations/netflix-scale-event-sourcing)
* [Scaling Event-Sourcing at Jet.com](https://medium.com/@eulerfx/scaling-event-sourcing-at-jet-9c873cac33b8)
* [Command & Query Responsibility Segregation (CQRS)](https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs)
* [Load Balancing](https://blog.vivekpanyam.com/scaling-a-web-service-load-balancing/)
* [Introduction to Modern Network Load Balancing and Proxying](https://blog.envoyproxy.io/introduction-to-modern-network-load-balancing-and-proxying-a57f6ff80236)
* [Load Balancing infrastructure to support more than 1.3 billion users at Facebook](https://www.usenix.org/conference/srecon15europe/program/presentation/shuff)
* [DHCPLB: Open Source Load Balancer for DHCP at Facebook](https://code.facebook.com/posts/1734309626831603/dhcplb-an-open-source-load-balancer/)
* [Load Balancing with Eureka at Netflix](https://medium.com/netflix-techblog/netflix-shares-cloud-load-balancing-and-failover-tool-eureka-c10647ef95e5)
* [Load Balancing at Yelp](https://engineeringblog.yelp.com/2017/05/taking-zero-downtime-load-balancing-even-further.html)
* [Load Balancing at Github](https://githubengineering.com/introducing-glb/)
* [Consistent Hashing to Improve Load Balancing at Vimeo](https://medium.com/vimeo-engineering-blog/improving-load-balancing-with-a-new-consistent-hashing-algorithm-9f1bd75709ed)
* [UDP Load Balancing at 500 pixel](https://developers.500px.com/udp-load-balancing-with-keepalived-167382d7ad08)
* [Parallel Computing](https://blogs.msdn.microsoft.com/ddperf/2009/05/02/are-we-taking-advantage-of-parallelism/)
* [SPMD (Single Program Multiple Data): The Genetic Pattern](https://www2.eecs.berkeley.edu/Pubs/TechRpts/2012/EECS-2012-186.html)
* [Master/Worker Pattern](https://docs.gigaspaces.com/sbp/master-worker-pattern.html)
* [Loop Parallelism Pattern: Extracting parallel tasks from loops](https://www.cs.umd.edu/class/fall2001/cmsc411/projects/unroll/main.htm)
* [Fork/Join Pattern: Good for recursive data processing](http://highscalability.com/learn-how-exploit-multiple-cores-better-performance-and-scalability)
* [Map-Reduce: Born for Simplified Data Processing on Large Clusters](http://static.googleusercontent.com/media/research.google.com/en/us/archive/mapreduce-osdi04.pdf)
* [On the Death of Map-Reduce - Henry Robinson, Cloudera](http://the-paper-trail.org/blog/the-elephant-was-a-trojan-horse-on-the-death-of-map-reduce-at-google/)
* [Parallelize the rendering of web pages: Use case of Yelp.com](https://engineeringblog.yelp.com/2017/07/generating-web-pages-in-parallel-with-pagelets.html)
* [Command & Query Responsibility Segregation (CQRS)](https://docs.microsoft.com/en-us/azure/architecture/patterns/cqrs)
* [Distributed Machine Learning](https://arxiv.org/pdf/1512.09295.pdf)
* [Scalable Deep Learning Platform On Spark In Baidu](https://www.slideshare.net/JenAman/scalable-deep-learning-platform-on-spark-in-baidu)
* [Horovod: Uber’s Open Source Distributed Deep Learning Framework for TensorFlow](https://eng.uber.com/horovod/)