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*[English](README.md) ∙ [简体中文](README-zh-Hans.md) | [Brazilian Portuguese](https://github.com/donnemartin/system-design-primer/issues/40) ∙ [Japanese](https://github.com/donnemartin/system-design-primer/issues/100) ∙ [Polish](https://github.com/donnemartin/system-design-primer/issues/68) ∙ [Russian](https://github.com/donnemartin/system-design-primer/issues/87) ∙ [Turkish](https://github.com/donnemartin/system-design-primer/issues/39) | [Add Translation](https://github.com/donnemartin/system-design-primer/issues/28)*
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*[English](README.md) ∙ [简体中文](README-zh-Hans.md) | [Brazilian Portuguese](https://github.com/donnemartin/system-design-primer/issues/40) ∙ [Italian](https://github.com/donnemartin/system-design-primer/issues/104) ∙ [Japanese](https://github.com/donnemartin/system-design-primer/issues/100) ∙ [Korean](https://github.com/donnemartin/system-design-primer/issues/102) ∙ [Polish](https://github.com/donnemartin/system-design-primer/issues/68) ∙ [Russian](https://github.com/donnemartin/system-design-primer/issues/87) ∙ [Traditional Chinese](https://github.com/donnemartin/system-design-primer/issues/88) ∙ [Turkish](https://github.com/donnemartin/system-design-primer/issues/39) | [Add Translation](https://github.com/donnemartin/system-design-primer/issues/28)*
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# The System Design Primer
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# The System Design Primer
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| Design a system that serves data from multiple data centers | [highscalability.com](http://highscalability.com/blog/2009/8/24/how-google-serves-data-from-multiple-datacenters.html) |
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| Design a system that serves data from multiple data centers | [highscalability.com](http://highscalability.com/blog/2009/8/24/how-google-serves-data-from-multiple-datacenters.html) |
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| Design an online multiplayer card game | [indieflashblog.com](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html)<br/>[buildnewgames.com](http://buildnewgames.com/real-time-multiplayer/) |
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| Design an online multiplayer card game | [indieflashblog.com](http://www.indieflashblog.com/how-to-create-an-asynchronous-multiplayer-game.html)<br/>[buildnewgames.com](http://buildnewgames.com/real-time-multiplayer/) |
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| Design a garbage collection system | [stuffwithstuff.com](http://journal.stuffwithstuff.com/2013/12/08/babys-first-garbage-collector/)<br/>[washington.edu](http://courses.cs.washington.edu/courses/csep521/07wi/prj/rick.pdf) |
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| Design a garbage collection system | [stuffwithstuff.com](http://journal.stuffwithstuff.com/2013/12/08/babys-first-garbage-collector/)<br/>[washington.edu](http://courses.cs.washington.edu/courses/csep521/07wi/prj/rick.pdf) |
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| Design an API rate limiter | [https://stripe.com/blog/](https://stripe.com/blog/rate-limiters) |
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| Add a system design question | [Contribute](#contributing) |
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| Add a system design question | [Contribute](#contributing) |
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### Real world architectures
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### Real world architectures
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We'll continue to address scaling issues due to the problem's constraints:
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We'll continue to address scaling issues due to the problem's constraints:
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* If our **MySQL Database** starts to grow too large, we might considering only storing a limited time period of data in the database, while storing the rest in a data warehouse such as Redshift
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* If our **MySQL Database** starts to grow too large, we might consider only storing a limited time period of data in the database, while storing the rest in a data warehouse such as Redshift
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* A data warehouse such as Redshift can comfortably handle the constraint of 1 TB of new content per month
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* A data warehouse such as Redshift can comfortably handle the constraint of 1 TB of new content per month
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* With 40,000 average read requests per second, read traffic for popular content can be addressed by scaling the **Memory Cache**, which is also useful for handling the unevenly distributed traffic and traffic spikes
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* With 40,000 average read requests per second, read traffic for popular content can be addressed by scaling the **Memory Cache**, which is also useful for handling the unevenly distributed traffic and traffic spikes
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* The **SQL Read Replicas** might have trouble handling the cache misses, we'll probably need to employ additional SQL scaling patterns
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* The **SQL Read Replicas** might have trouble handling the cache misses, we'll probably need to employ additional SQL scaling patterns
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