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Scaling Pinterest

Posted by Yash Nelapati, Marty Weiner  on  Dec 30, 2013

Details on Pinterest's architeture, its systems -Pinball, Frontdoor-, and stack - MongoDB, Cassandra, Memcache, Redis, Flume, Kafka, EMR, Qubole, Redshift, Python, Java, Go, Nutcracker, Puppet, etc.

Need Some Cache? Redis in Depth

Posted by Chris Meadows  on  Sep 07, 2012

Chris Meadows introduces Redis, explaining what it is good for, what does it take to be run, and what’s under the hood through a social networking code example.

Yes, SQL!

Posted by Uri Cohen  on  Mar 01, 2011

Uri Cohen presents the key characteristics of SQL and NoSQL databases and how to create a layer on top of distributed data stores in order to use SQL to query for data.

Scale at Facebook

Posted by Aditya Agarwal  on  May 28, 2010 3

Beside presenting the overall Facebook architecture and scaling solutions used, Aditya Agarwal talks about the iterative process of constantly improving the site, making sure to avoid over-engineering

Facebook: Science and the Social Graph

Posted by Aditya Agarwal  on  Mar 25, 2009 9

Aditya Agarwal discusses Facebook’s architecture, more exactly the software stack used, presenting the advantages and disadvantages of its major components: PHP, MySQL, Memcache, Thrift, Scribe.

Rockstar Memcaching

Posted by Tobias Lütke  on  Oct 28, 2008

In this presentation from RubyFringe, Tobias Lütke talks about memcached, the widely used caching solution. Tobias explains how to use it and gives some practical tips on what not to do.

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