This presentation shows how, in less than 1 month, the Brazilian publishing company Abril build a system to track user visiting in realtime to help publishers decide what would be the best content to atract more users to websites. This system uses ruby, sinatra, heroku and redis.

1. Case Abril:
Click counter
Luís Cipriani
@lfcipriani (twitter, linkedin, github, ...)
21o. GURU (2012-01-28) - Sao Paulo/Brazil

2. ME

3. motivation
• hard news
• sites Home must be dynamic
• knowing what’s hot helps a lot
• other advantages could be obtained

4. architecture

5. architecture
• triggered with user click on the page

6. architecture

7. architecture
• servers click.js
• generate metrics dashboard

8. architecture

9. architecture
• clean up referer link list periodically
• avoid Redis out of memory

10. architecture

11. performance
• ~ 650.000 hits/day (only sites home)
•17 sites monitored
• ~ $823 dolars/month
• 15 heroku dynos handling everything

12. performance
• GET /click (on average day)
• average: 6.8 ms
• std deviation: 0.03 ms

13. overall performance

14. performance
• GET /dashboard (on average day)
• average: 4000 ms
• std deviation: 2.4 ms
• acceptable by the publishers

15. process performance
• continuous deploy
• few requirements = focus
• 3 developers working 1 month
• 2 weeks = initial implementation using Mongo
• 2 weeks = refactoring to Redis and improving
dashboard load time

16. feedback (from emails)
“A sua ferramenta é o que há de bom.” Edna Dantas (redatora chefe Contigo)
“Parabéns a você e a sua equipe pelo desenvolvimento desta
ferramenta. Ela é uma ajuda e tanto no nosso processo de
publicação e edição do site.” Edna Dantas
“Nós também estamos viciados no click counter. “ Hoshino (Webmaster
Veja)

17. Reformulação Box de Login Abril ID
http://engineering.abril.com.br/
?