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Latency Numbers Every Programmer Should Know

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@ -31,7 +31,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [The Twelve-Factor App](https://12factor.net/)
* [10 Common (Large-Scale) Software Architectural Patterns in a Nutshell](https://towardsdatascience.com/10-common-software-architectural-patterns-in-a-nutshell-a0b47a1e9013)
* [CAP Theorem and Trade-offs](http://robertgreiner.com/2014/08/cap-theorem-revisited/)
* [CAP Twelve Years Later: How the "Rules" Have Changed (2012) - Eric Brewer, VP of Infras at Google](https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed)
* [CAP Twelve Years Later: How the "Rules" Have Changed (2012) - Eric Brewer, VP of Infrastructure at Google](https://www.infoq.com/articles/cap-twelve-years-later-how-the-rules-have-changed)
* [Scale Up or Scale Out, What it is and Why You Should Care](https://www.brianjgraf.com/2013/05/17/scalability-scale-up-scale-out-care/)
* [Scaling Up vs Scaling Out: Hidden Costs](https://blog.codinghorror.com/scaling-up-vs-scaling-out-hidden-costs/)
* [ACID and BASE](https://neo4j.com/blog/acid-vs-base-consistency-models-explained/)
@ -49,6 +49,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [Cache is King!](https://www.stevesouders.com/blog/2012/10/11/cache-is-king/)
* [Anti-Caching](http://the-paper-trail.org/blog/paper-notes-anti-caching/)
* [Understand Latency](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
* [Latency Numbers Every Programmer Should Know](http://norvig.com/21-days.html#answers)
* [Architecture Issues When Scaling Web Applications: Bottlenecks, Database, CPU, IO](http://highscalability.com/blog/2014/5/12/4-architecture-issues-when-scaling-web-applications-bottlene.html)
* [20 Common Bottlenecks](http://highscalability.com/blog/2012/5/16/big-list-of-20-common-bottlenecks.html)
* [Life Beyond Distributed Transactions](https://queue.acm.org/detail.cfm?id=3025012)
@ -76,7 +77,7 @@ An updated and curated list of selected readings to illustrate High Scalability,
* [Learn from Mistakes](http://highscalability.com/blog/2013/8/26/reddit-lessons-learned-from-mistakes-made-scaling-to-1-billi.html)
* [Linux Performance](http://www.brendangregg.com/linuxperf.html)
* [How To Design A Good API and Why it Matters - Joshua Bloch](https://www.infoq.com/presentations/effective-api-design)
* [Talks and Papers on Efficiency, Reliability, and Scaling - James Hamilton, VP and Distinguished Engineer at AWS](http://mvdirona.com/jrh/work/)
* [Talks/Papers on Efficiency, Reliability, Scaling - James Hamilton, VP and Distinguished Engineer at AWS](http://mvdirona.com/jrh/work/)
## Scalability
* [Microservices and Orchestration](https://hackernoon.com/microservices-are-hard-an-invaluable-guide-to-microservices-2d06bd7bcf5d)