Palestra no QConSP 2012, em 04/08/2012.

1. dicas e truques
para ser um bom
inquilino ... no Cloud
Fabio Kung

3. inquilino?

4. A
B C
D
multitenancy

5. IaaS PaaS
Containers/Zones

6. considere ...
espalhar seus
processos

7. weighted
fair scheduling
[1]

8. App A
P1 P2 P3
20
App B
P4 P5 P6 P7
40
App C
P8
40

9. App A App B App C
1 2 3 0 4 5 6 7 0 8 0
20 40 40
fator de “justiça”

10. App B App C
4 5 6 7 0 8 0
40 40

11. App B App C App A
4 5 6 7 0 8 0 1 2 3 30
40 40 20

12. App C App A
8 0 1 2 3 30
40 20

13. App C App B App A
8 0 4 5 6 7 40 1 2 3 30
40 40 20

14. App B App A
4 5 6 7 40 1 2 3 30
40 20

15. App B App A App C
4 5 6 7 40 1 2 3 30 8 80
40 20 40

16. App A App C
1 2 3 30 8 80
20 40
minimum + bursting

17. co-scheduling

18. SMP

19. VM A VM B VM C
vCPU vCPU vCPU vCPU vCPU

20. synchronization
costs

21. VM A VM B VM C
vCPU vCPU vCPU vCPU vCPU

22. CPU stacking [2]

23. evite I/O
... se puder

24. I/O intensive
applications need their
own domain [3]

25. espalhe seus
processos
http://www.12factor.net/concurrency

26. efemeridade

27. eu acho...

28. PROVE!

29. blá blá blá ...
monitoração
... blá blá blá

30. logs => event stream

31. pipeline
Archive,
dashboards
inc
App
id
logs
en
ts
t s
even
Log
App
metrics
logs
router Pager
eve
nt s
logs
App Event nts
ide
processor inc

32. Log routers
• https://github.com/heroku/logplex
• https://github.com/fluent/fluentd
events-to-metrics
• https://github.com/heroku/pulse

33. archives + queries
https://twitter.com/danicuki/statuses/228170302515982336

37. Librato

38. the pager

41. pipeline
Archive,
dashboards
inc
App
id
logs
en
ts
t s
even
Log
App
metrics
logs
router Pager
eve
nt s
logs
App Event nts
ide
processor inc

42. pipeline
Archive,
dashboards
inc
App
id
en
ts
t s
even
External
App
metrics
events
Monitor Pager
eve
nt s
App Event nts
ide
processor in c

44. média

46. %til

49. naked
domains
https://devcenter.heroku.com/articles/avoiding-naked-domains-dns-arecords

50. more...
http://www.12factor.net

51. References
1. Groves, Taylor, Jeff Knockel and Eric Schulte. “BFS vs. CFS -
Scheduler Comparison”. 11 Dec 2009. 2 Aug 2012 <http://
slimjim.cs.unm.edu/~eschulte/data/bfs-v-cfs_groves-knockel-
schulte.pdf>
2. Sukwong, Orathai and Hyong S. Kim. “Is Co-scheduling Too
Expensive for SMP VMs?”. EuroSys 2011 12 Apr 2011, Carnegie Mellon
University. 29 Jul 2012 <http://eurosys2011.cs.uni-salzburg.at/pdf/
eurosys2011-sukwong-slides.pdf>
3. Ongaro, Diego, Alan L. Cox and Scott Rixner. “Scheduling I/O in
Virtual Machine Monitors”. Rice University. 2 Aug 2012 <http://
www.cs.rice.edu/CS/Architecture/docs/ongaro-vee08.pdf>
4. Pijewski, Bill. “Our ZFS I/O Throttle”. Bill Pijewski's Blog.
March 1, 2011. August 3, 2012 <http://dtrace.org/blogs/wdp/2011/03/
our-zfs-io-throttle/>

52. Obrigado!
@fabiokung