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Technology stack of social networks [MTS]

  1. social networks The technology stack of Philipp Weber HDE MTS 2015.01.23
  2. Table of Contents ● Overview ● Included networks ● The stacks ● Comments / Takeaway
  3. *Some of the displayed numbers and technologies reach back to the year of 2011. **Rights to the registered Names / Logos / Trademarks featured are property of and belong to their respective owners. Disclaimer
  4. Facebook - 1.35 billion monthly active users Tumblr - 420 million users Twitter - 284 million monthly active users LinkedIn - 300 million users Google+ - 300 million monthly active users Included Networks
  5. Frontend Backend The stack Databases Cache (Hosting) Meta Templating / Javascript Intermediate- Layer Programming Languages Server specifics Offline processing
  6. The stack - Facebook ● 864 million daily active users ● 700 million mobile daily active users
  7. Facebook Haystack (Object-store) Memcached Facebook markup Language PhpCassandra Hadoop + Hive BigPipe → pagelets Thrift Java Varnish HTTP-accel. HipHopVM - Php-compiler Frontend Backend Meta
  8. The stack - Tumblr ● Microblog / social networking website ● ~40k requests per second ● 15 billion page views per month ● belongs to Yahoo
  9. The stack - Tumblr HBase Redis (Hosting) Gearman and Kestrel PHP HA-Proxy Scala Ruby MySQL Apache Kafka Finagle Frontend Backend Meta
  10. The stack - Twitter ● 80% of Twitter active users are on mobile ● Average of ~5750 Tweets/s ● Record 143.199 Tweets/s
  11. Twitter Flock Memcached (Hosting) Bootstrap JVM Finagle Java Netty JavaScriptRedis Hadoop+ Scalding Scala Frontend Backend Meta User-Store
  12. The stack - LinkedIn ● Leader in Professional networking ● Opened their Network data to busines-research in 2008
  13. The stack - LinkedIn Oracle Voldemort Node.js Java GRails = Java-Rails Hadoop Espresso Scala JRuby JavaScript MySQLJQuery Backbone.js Frontend Backend Meta
  14. The stack - Google+ ● Build on Circle API ● Usually use special Google technology and libraries ● Close interaction with android planned
  15. The stack - Google+ BigTable Closure Java Custom JVM GoogleFile System Closure C++ PythonJQuery Frontend Backend Meta
  16. Takeaway So what can we learn from these examples?
  17. Takeaways #1 Embrace Open Source Open Source systems benefit from university research and a big community. Facebook and Twitter release or found many of their software in OpenSource projects.
  18. Takeaways #2 Scalability: Prepare for scalability starting at the foundation. Monolithic systems make rapid growth impossible or error-proned.
  19. Takeaways #3 Discover new solutions: Highscalability.com writes a very in-depth technology-blog with interviews from tech- giants and their experiences. Definitely worth a read.
  20. Thank you for your Attention
  21. Sources Facebook https://github.com/facebook http://www.slideshare.net/meet.hak/facebook-technology-stack http://newsroom.fb.com/company-info/ www.infoq.com/presentations/Scale-at-Facebook Twitter https://about.twitter.com/company https://blog.twitter.com/2013/new-tweets-per-second-record-and-how http://www.slideshare.net/caniszczyk/twitter-opensourcestacklinuxcon2013 Tumblr http://www.theguardian.com/technology/2014/oct/23/tumblr-yahoo-revenues-2015-ads-nsfw http://highscalability.com/blog/2012/2/13/tumblr-architecture-15-billion-page-views-a-month-and-harder.html LinkedIn https://press.linkedin.com/news-releases https://engineering.linkedin.com/technology https://www.youtube.com/watch?x-yt-ts=1421914688&x-yt-cl=84503534&v=OXN3wuHUBP0 Google+ http://www.usatoday.com/story/tech/2013/10/29/google-plus/3296017/ http://highscalability.com/blog/2011/7/12/google-is-built-using-tools-you-can-use-too-closure-java-ser.html
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