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Scaling PostgreSQL Using CUDA

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# High Scalability, High Availability, High Stability, and High Performance Back-end Design Patterns
An updated and curated list of selected readings to illustrate High Scalability, High Availability, High Stability, and High Performance Back-end Design Patterns. Concepts are explained in the articles of notable engineers (Werner Vogels, James Hamilton, Jeff Atwood, Martin Fowler, Robert C. Martin, Tom White, Martin Kleppmann) and credible references (highscalability.com, infoq.com, official engineering blogs). Case studies are taken from battle-tested systems those are serving millions to billions of users (Netflix, Alibaba, Flipkart, LINE, Spotify, etc).
An updated and curated list of selected readings to illustrate High Scalability, High Availability, High Stability, and High Performance Back-end Design Patterns. Concepts are explained in the articles of notable engineers (Werner Vogels, James Hamilton, Martin Kleppmann, etc) and credible references (highscalability.com, infoq.com, official engineering blogs). Case studies are taken from battle-tested systems those are serving millions to billions of users (Netflix, Alibaba, Flipkart, LINE, Spotify, etc).
#### What if your Back-end went slow?
> Understand your problems: performance problem (slow for a single user) or scalability problem (fast for a single user but slow under heavy load) by reviewing [design principles](#principles). You can also check some [talks](#talks) of elite engineers from tech giants (Google, Facebook, Instagram, etc) to see how they build and scale their systems.
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* [Optimizing Session Key Storage in Redis at Deliveroo](https://deliveroo.engineering/2016/10/07/optimising-session-key-storage.html)
* [Optimizing Redis Storage at Deliveroo](https://deliveroo.engineering/2017/01/19/optimising-membership-queries.html)
* [RDBMS (MySQL, MSSQL, PostgreSQL)](https://www.mysql.com/products/cluster/scalability.html)
* [MS SQL versus MySQL](https://www.upwork.com/hiring/data/sql-vs-mysql-which-relational-database-is-right-for-you/)
* [Microsoft SQL versus MySQL](https://www.upwork.com/hiring/data/sql-vs-mysql-which-relational-database-is-right-for-you/)
* [SQL Database Performance Tuning](https://www.toptal.com/sql-server/sql-database-tuning-for-developers)
* [Scaling PostgreSQL Using CUDA](http://highscalability.com/blog/2009/5/28/scaling-postgresql-using-cuda.html)
* [Scaling Distributed Joins](http://blog.memsql.com/scaling-distributed-joins/)
* [Why SQL is beating NoSQL, and what this means for the future of data](https://blog.timescale.com/why-sql-beating-nosql-what-this-means-for-future-of-data-time-series-database-348b777b847a)
* [MySQL Crash-Safe Replication, Parallel Replication, and Slave Scaling (10 parts) at Booking.com](https://blog.booking.com/author/jean-francois-gagne.html)
* [Sharding MySQL at Pinterest](https://medium.com/@Pinterest_Engineering/sharding-pinterest-how-we-scaled-our-mysql-fleet-3f341e96ca6f)
* [Sharding MySQL at MailChimp](https://devs.mailchimp.com/blog/using-shards-to-accommodate-millions-of-users/)