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CP Databases and AP Databases
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@ -35,7 +35,8 @@ An updated and curated list of selected readings to illustrate High Scalability,
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* [The Twelve-Factor App](https://12factor.net/)
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* [10 Common (Large-Scale) Software Architectural Patterns in a Nutshell](https://towardsdatascience.com/10-common-software-architectural-patterns-in-a-nutshell-a0b47a1e9013)
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* [CAP Theorem and Trade-offs](http://robertgreiner.com/2014/08/cap-theorem-revisited/)
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* [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)
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* [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)
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* [CP Databases and AP Databases](https://blog.andyet.com/2014/10/01/right-database)
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* [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/)
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* [Scaling Up vs Scaling Out: Hidden Costs](https://blog.codinghorror.com/scaling-up-vs-scaling-out-hidden-costs/)
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* [ACID and BASE](https://neo4j.com/blog/acid-vs-base-consistency-models-explained/)
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