jBPM5 presentation at JBossWorld

2. John Graham – TD Manager - SOA Edson Tirelli – Drools Fusion Lead Kris Verlaenen – jBPM Lead May 4 th , 2011 EVENT DRIVEN BPM THE JBOSS WAY

4. Descriptive or normative? How about agile?

5. Challenge: understand and react in real time

8. For commits

9. For code reviews

11. Instability clustering

12. Feature completion

13. Builds status

14. Test status

15. Staff availability

17. Milestone closure

18. Change management

19. Suggestion Use API and reporting mechanisms available with many/most software development tools and infrastructure combined with jBPM 5 and Drools to gain real time understanding and agility.

21. Unstructured, non-lineair or flexible processes

22. Event-driven BPM (edBPM)

24. What is flexibility? “ The quality of being adaptable or variable”

25. Flexibility = Variability + Change

26. Exceptional Control Flow 90% 5% 3% 2%

27. Exceptional Control Flow 90% Rule1 When ... Then ... Rule2 When ... Then ... Rule3 When ... Then ... 5% 3% 2%

28. Processes + Rules + Events

29. Model Deploy Execute Monitor Analyze Life Cycle Mining Analysis Optimization Simulation Testing Design Monitoring Reporting Execution Integration Deployment Management Audit Human Interaction Collaboration

30. Vision A knowledge-oriented platform for developers and business users

32. Exclusive use of non-stop door-to-door services

33. Blended surface and air services to minimize cost and transit time

36. Route calculation and monitoring

38. Capacity tracking Source: E. Tirelli & A. Mollenkopf - ORF2009

39. Logistic Company - Solution Source: E. Tirelli & A. Mollenkopf - ORF2009 New Facts Reasoning Inferred Facts K n o w l e d g e B a s e s CEP [ Temporal Reasoning ] Knowledge Based Reasoning Spatial Reasoning Vehicle Event Stream Aircraft Event Stream Traffic Flow Event Stream Traffic Incident Event Stream Weather Event Stream Shipment Event Stream Stop Event Stream

42. Tooling (IDE, repository, management)

44. Larger scope (reusable)

45. Higher-level

46. Loosely-coupled

48. Process Rules : Data-driven constraints

49. Triggers : Rules / events start / signal process

50. Assignment rules

51. Describing exceptional situations using rules

52. Modularizing concerns using rules

53. Using rules to dynamically alter the behavior of the process Rules and Process Integration

54. Example: Clinical DSS

55. Example: Build Management Source: Hudson Execution and Scheduling Architecture

56. Example: Build Management Source: Hudson Execution and Scheduling Architecture

57. Continuum Data-driven Lifetime Stability Granularity Change Dynamic Complexity Declarative User-focused

58. JBoss Projects

60. Source http://github.com/droolsjbpm/jbpm

61. Hudson http://hudson.jboss.org/hudson/job/jBPM

62. Blog http://kverlaen.blogspot.com/

63. #jbpm on irc.codehaus.org

64. [email_address]

65. jBPM user forum

67. Source http://github.com/droolsjbpm/jbpm

68. Hudson http://hudson.jboss.org/hudson/job/drools

69. Blog http://blog.athico.com/

70. #drools on irc.codehaus.org

71. [email_address]