Galder ZAMARREÑO

1. cocktail d’expérience informatiques
Genève 3 & 4 octobre 2011
Seconde édition
soft-shake.ch
Auteur Galder ZAMARREÑO
Track Java
Session Data Grids and
Data Caching

3. Tuesday, October 11, 11

4. Tuesday, October 11, 11

5. Data Grids and
Data Caching
Galder Zamarreño
Senior Software Engineer
Red Hat, Inc
3rd October 2011, Soft Shake
Tuesday, October 11, 11

6. Galder Zamarreño
• R&D Engineer, Red Hat Inc.
• Infinispan developer
• 5+ years exp. with distributed data systems
• Twitter: @galderz
• Blog: zamarreno.com
Tuesday, October 11, 11

7. Agenda
• What is Infinispan?
• Infinispan as in-memory cache
• Infinispan as in-memory data grid
• Data-as-a-Service with Infinispan
• Who uses Infinispan?
Tuesday, October 11, 11

8. Introducing
Tuesday, October 11, 11

9. What is Infinispan?
An in-memory, highly
available, elastic, and open
source (LGPL) data grid
platform
Tuesday, October 11, 11

10. Infinispan can be
used as...
Tuesday, October 11, 11

11. Local in-memory cache
Boost performance caching
data which is hard to calculate
or expensive to retrieve
Tuesday, October 11, 11

12. ConcurrentHashMap ?
Infinispan provides greater
concurrency with MVCC, has
built-in eviction...etc
Tuesday, October 11, 11

13. Local cache example
Tuesday, October 11, 11

14. A local cache might
not be enough...
Tuesday, October 11, 11

15. Clustered caches
Scale up your application and
maintain cache consistency
Tuesday, October 11, 11

16. Consistency in a
clustered cache...
Tuesday, October 11, 11

17. Invalidation
Tuesday, October 11, 11

18. Invalidation
Tuesday, October 11, 11

19. Invalidation
Tuesday, October 11, 11

20. Cache-oriented
operations...
Tuesday, October 11, 11

21. putForExternalRead()
put() putForExternalRead()
Use for updating state Use to cache state read from
external source
Regular lock acquisition timeout Fail-fast
Could throw an exception Fails quietly
Could cause existing transaction to Will never affect existing
fail transactions
Tuesday, October 11, 11

22. Accessing
Infinispan caches
Tuesday, October 11, 11

23. Embedded Access
Tuesday, October 11, 11

24. Infinispan is not
just a cache!
Tuesday, October 11, 11

25. In-memory data grid
It’s a Fast, Available,
Distributed, Elastic data store,
not just a cache!
Tuesday, October 11, 11

26. Invalidation won’t
work for data grids!
Tuesday, October 11, 11

27. Data distribution
Tuesday, October 11, 11

28. Replication
Tuesday, October 11, 11

29. Distribution
• With number of copies = 2
Tuesday, October 11, 11

30. How is data
distributed??
Tuesday, October 11, 11

31. Consistent Hashing
Tuesday, October 11, 11

32. Solving unequal
distribution
Tuesday, October 11, 11

33. Virtual Nodes
Tuesday, October 11, 11

34. Accessing
Infinispan data grid
Tuesday, October 11, 11

35. Remote Access
• Via protocols :
• REST
• Hot Rod
Tuesday, October 11, 11

36. Hot Rod clients
Tuesday, October 11, 11

37. Infinispan as
cloud data store
Tuesday, October 11, 11

38. Traditional 3-tier App
Tuesday, October 11, 11

39. Typical IaaS App
Tuesday, October 11, 11

40. Traditional PaaS App
Tuesday, October 11, 11

41. Where’s your data
stored??
Tuesday, October 11, 11

42. Clouds are
ephemeral!!
Tuesday, October 11, 11

43. State
Tuesday, October 11, 11

44. Virtualizing Data
Some public services exist
(i.e. Amazon RDS), but not all
cloud deployments are public!
Tuesday, October 11, 11

45. Build your own
Data-as-a-Service!
Tuesday, October 11, 11

46. Characteristics of DaaS
Elastic, scalable and highly
available!
Tuesday, October 11, 11

47. DaaS with
Infinispan
Tuesday, October 11, 11

48. Architecture
Manage and Monitor
Tuesday, October 11, 11

49. Who uses
Infinispan?
Tuesday, October 11, 11

50. As a cache...
Hibernate 2nd level cache,
Torquebox Rails cache...
Tuesday, October 11, 11

51. As a temporary store...
Http session cache & EJB
SFSB cache, in JBoss AS7
Tuesday, October 11, 11

52. As data grid...
Real-time trading app of a well
known stock exchange
Tuesday, October 11, 11

53. What’s next?
Tuesday, October 11, 11

54. Towards EDG
Solidifying Infinispan towards
integration with Red Hat’s
Enterprise Data Grid
Tuesday, October 11, 11

55. Plus more data grid...
Enhancing Hot Rod protocol,
Hibernate Object/Grid Mapper
...etc
Tuesday, October 11, 11

56. Summary
Infinispan as fast powerful
local cache that can be
clustered!
Tuesday, October 11, 11

57. Summary
But also a F.A.D.E. data grid,
accessible in embedded or
remote fashion
Tuesday, October 11, 11

58. Summary
Build your own Infinispan
based Data-as-a-Service in
your private cloud!
Tuesday, October 11, 11

59. Questions
infinispan.org - @infinispan
speakerrate.com/galder
More on data grids at 5pm!
Tuesday, October 11, 11