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## Principles ## Principles
* [CAP Theorem and Trade-offs](http://robertgreiner.com/2014/08/cap-theorem-revisited/) * [CAP Theorem and Trade-offs](http://robertgreiner.com/2014/08/cap-theorem-revisited/)
* [Scaling Up and Scaling Out](https://blogs.technet.microsoft.com/admoore/2015/02/17/scaling-out-vs-scaling-up/) * [Scaling Up and Scaling Out](https://blogs.technet.microsoft.com/admoore/2015/02/17/scaling-out-vs-scaling-up/)
* [Best Practices for Scaling Out](https://blog.openshift.com/best-practices-for-horizontal-application-scaling/)
* [Understanding Latency](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
* [Maximal Throughput with Acceptable Latency (Dropbox case)](https://blogs.dropbox.com/tech/2017/09/optimizing-web-servers-for-high-throughput-and-low-latency/)
* [ACID and BASE](https://neo4j.com/blog/acid-vs-base-consistency-models-explained/) * [ACID and BASE](https://neo4j.com/blog/acid-vs-base-consistency-models-explained/)
* [Synchronous and Asynchronous](https://blogs.msdn.microsoft.com/csliu/2009/08/04/inside-scalable-io-model-in-sync-async-way/) * [Synchronous and Asynchronous](https://blogs.msdn.microsoft.com/csliu/2009/08/04/inside-scalable-io-model-in-sync-async-way/)
* [SQL and NoSQL](https://www.upwork.com/hiring/data/sql-vs-nosql-databases-whats-the-difference/)
* [Understand why Cache is King!](https://www.stevesouders.com/blog/2012/10/11/cache-is-king/)
* [Understand Latency](http://highscalability.com/latency-everywhere-and-it-costs-you-sales-how-crush-it)
* [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) * [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)
* [Performance and Scalability patterns](https://docs.microsoft.com/en-us/azure/architecture/patterns/category/performance-scalability)
* [Advantages and Drawbacks of Microservices](https://cloudacademy.com/blog/microservices-architecture-challenge-advantage-drawback/) * [Advantages and Drawbacks of Microservices](https://cloudacademy.com/blog/microservices-architecture-challenge-advantage-drawback/)
* [Avoid Overengineering](https://medium.com/@rdsubhas/10-modern-software-engineering-mistakes-bc67fbef4fc8) * [Avoid Overengineering](https://medium.com/@rdsubhas/10-modern-software-engineering-mistakes-bc67fbef4fc8)
* [Don't Repeat Yourself (DRY)](https://softwareengineering.stackexchange.com/questions/103233/why-is-dry-important) * [Don't Repeat Yourself (DRY)](https://softwareengineering.stackexchange.com/questions/103233/why-is-dry-important)
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* [Design for Resiliency](http://highscalability.com/blog/2012/12/31/designing-for-resiliency-will-be-so-2013.html) * [Design for Resiliency](http://highscalability.com/blog/2012/12/31/designing-for-resiliency-will-be-so-2013.html)
* [Design for Self-healing when failures occur](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/self-healing) * [Design for Self-healing when failures occur](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/self-healing)
* [Design for Scale out](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/scale-out) * [Design for Scale out](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/scale-out)
* [Best Practices for Scaling Out (by Steve Souders, author of "High Performance Web Sites")](https://blog.openshift.com/best-practices-for-horizontal-application-scaling/)
* [Design for Evolution](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/design-for-evolution) * [Design for Evolution](https://docs.microsoft.com/en-us/azure/architecture/guide/design-principles/design-for-evolution)
## Scalability ## Scalability