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Twitter

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Twitter development process and technologies behind it.

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Twitter

  1. 1. ‘One of the social app’ Amir Fazwan & Syed Syahmi
  2. 2. What is Twitter? • Twitter is an online social networking service that enables users to send and read short 140- character messages called "tweets". • Registered users can read and post tweets, but unregistered users can only read them. Users access Twitter through the website interface, SMS, or mobile device app. • Twitter, it wasn't clear what it was. They called it a social network, they called it microblogging, but it was hard to define, because it didn't replace anything.
  3. 3. History of Development • Born 3 years ago at podcasting company, Odeo Inc. in South Park, San Francisco. (2006) • SMS services to tell small groups what you are doing. • 1st version idea was web-based – as an internal service for Odeo employees. • Userbase was limited. • Original name, “twttr”. • Had admin page to see every user. • Random person - Private account were born. • Direct Message, verified account added later.
  4. 4. • Twttr.com launched to the public after some of Odeo Inc. dissolved. • Obvious Corp born as an incubator with Twttr. • Messages longer than 160 were split (like SMS). • Users may subscribe to other users' tweets – this is known as "following" and subscribers are known as "followers. • In addition, users can block those who have followed them.
  5. 5. SDLC – Iterative Model
  6. 6. • Requirements of the complete system are clearly defined and understood. • Major requirements must be defined; however, some functionalities or requested enhancements may evolve with time. • There is a time to the market constraint. • A new technology is being used and is being learnt by the development team while working on the project. • Resources with needed skill set are not available and are planned to be used on contract basis for specific iterations. • There are some high risk features and goals which may change in the future.
  7. 7. Technology - Tools Front Side Middle Layer/Backend Storing Data
  8. 8. Front Side Ruby on Rails Rendering Cache composition DB querying Synchronous inserts
  9. 9. Middle Layer/Backend • Scale its ever-growing traffic •Updated with latest tweets • Speed up dynamic web app by alleviating DB loads • Cache data & request at multiple levels Memcached • Page caching • Load balancing and reverse proxy Varnish • Both runs on JVM • Comet server (track large number of tweets) Scala & Java • Communicate Apache Thrift between different internal services
  10. 10. Storing Data • Primary storage of tweets • Collaborate with the upstream community MySQL • NoSQL database • To power services such as analytics & search Cassandra • Storage solution built on top of MySQL • Store relationships (follows etc) FlockDB

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