Very interesting article for building large systems at Twitter. Worth reading it, use of sharding on the top of standard mysql makes the trick (gizzard - for sharding , flockdb - for graph db)
https://twitter.com/zipkinproject
http://www.youtube.com/watch?v=5cKTP36HVgI
http://highscalability.com/blog/2011/12/19/how-twitter-stores-250-million-tweets-a-day-using-mysql.html
http://highscalability.com/blog/2013/7/8/the-architecture-twitter-uses-to-deal-with-150m-active-users.html
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