The Windows Azure architecture is based on scale-out and offers different scale-units to build large systems. In this session, we will discuss the capabilities for compute, distributed caching, storage and big data.

1. “Scaling on Windows Azure”
Beat Schwegler - Director, Platform Strategy Group - Microsoft corp.
beatsch@microsoft.com - http://cloudbeatsch.com - @cloudbeatsch

2. democratized access to scale & reach

3. spectrum of IT services

4. global
footprint

5. 99.95% monthly SLA

6. application
platforms
operating
systems
Windows
Azure
store
open platform

7. scaling on Windows Azure

8. Cloud Services

9. service
package
service
package

10. service
package

11. service
package

12.  Network load-balancer
configured for traffic

15. fault and upgrade domains

17. storage options

18. Windows Azure Cache

19. Windows Azure CDN

20. Windows Azure Traffic Manager
direct users to the service in the closest region

21. data becomes the new currency

22. store – store – store – store – store

23. move compute to data

24. the hadoop ecosystem

25. MapReduce
Map f(k1,v1)  list(k2,v2)
Reduce f(k2, list(v2))  (k2, v3)
functionally
in practice, WordCount
the quick brown fox jumps over the lazy dog
Map
(the,1) (quick,1), (brown,1), (fox,1), (jumps,1) (over,1), (the,1),(lazy,1),(dog,1)
Shuffle
(the,(1,1)) (quick,1), (brown,1), (fox,1),(jumps,1) (over,1),(lazy,1),(dog,1)
Reduce
(the,2) (quick,1), (brown,1), (fox,1), (jumps,1),(over,1), (lazy,1),(dog,1)
in code
Then, scale to TB/PB of data over 10’s, 100’s or 1000’s of nodes

26. scaling on Windows Azure

27. start now
http://WindowsAzure.com