Optimizing Your SOA with Event Processing, TIBCO, TUCON 2007, Tim Bass, Principal Global Architect, DirectorEmerging Technologies Group TIBCO Software Inc.

1. Optimizing Your SOA with Event Processing Tim Bass Principal Global Architect, Director Emerging Technologies Group TIBCO Software Inc.

15. EDA Characteristics Aggregate events across multiple sources; compare reality with expectations Analyze Detect events across extended environment in real-time Sense Update expectations; Invoke distributed services in real-time Respond

16. Event Processing Reference Architecture 24 EVENT PRE-PROCESSING EVENT SOURCES EXTERNAL . . . LEVEL ONE EVENT TRACKING Visualization, BAM, User Interaction Event-Processing Architecture DB MANAGEMENT Historical Data Profiles & Patterns DISTRIBUTED LOCAL EVENT SERVICES . . EVENT PROFILES . . DATA BASES . . OTHER DATA LEVEL TWO SITUATION DETECTION LEVEL THREE PREDICTIVE ANALYSIS LEVEL FOUR ADAPTIVE BPM

22. EDA Visualized Asynchronous, Strongly Decoupled, Not Orchestrated A A A A A A A A A A Message Message Message Message Message Message Message Message

23. “Traditional SOA” + EDA Visualized Synchronous & Asynchronous, Loosely Coupled & Strongly Decoupled, Managed, Orchestrated, Not Orchestrated, Consumer-Driven, Producer-Driven Not Orchestrated Messaging (EDA) Note: Request/Reply Implied in “ Orchestrated Messaging” Orchestrated Messaging (“Traditional” SOA) Message A A A A A A A A A A Message Message Message Message Message Message Message Message

24. Table of Characteristics SOA and EDA Asynchronous Event Triggers Synchronous Service Invocation Application Interaction Flow Control Faster Sense/Respond Service Component Reuse Primary Technical Goal Reduced Costs and Increased Visibility Reduce Costs and Time-to-Market Primary Business Goal One-to-One, One-to-Many, Many-to-Many One-to-One Process Communication Models Publish/Subscribe Orchestration Process Management Producer Consumer Process Trigger No Scheduler Scheduler Required Process Coordination Strongly Decoupled Loosely Coupled Application Interaction EDA SOA Architectural Characteristic

25. Table of Characteristics “New SOA” and EDA Asynchronous Event Triggers Synchronous & Asynchronous Service Invocation Application Interaction Flow Control Faster Sense/Respond Distributed Computing Primary Technical Goal Reduced Costs and Increased Visibility Reduced Costs, Time-to-Market, and Increased Visibility Primary Business Goal One-to-One, One-to-Many, Many-to-Many One-to-One, One-to-Many, Many-to-Many Process Communication Models Publish/Subscribe Orchestration & Pub/Sub Process Management Producer Consumer or Producer Process Trigger No Scheduler Scheduled & Unscheduled Process Coordination Strongly Decoupled Decoupled, Loosely Coupled Application Interaction EDA “ New SOA” Architectural Characteristic

26. FYI: Event Processing (EP) and CEP Visualized A A RE A A A A A A A Messages Messages Messages Messages Messages Message Messages Messages Many-to-One Asynchronous Events Processing with Rules Engine (RE)

27. SOA + EDA + CEP Visualized (with Rules Engine) A A A A A A A RE A A Message Message Message Message Message Messages Messages Message Synchronous & Asynchronous, Loosely Coupled & Decoupled, Managed, Orchestrated, Not Orchestrated, Consumer-Driven, Producer-Driven Orchestrated Messaging (“Traditional” SOA) Not Orchestrated Messaging (EDA) Messages Note: Request/Reply Implied in “ Orchestrated Messaging” Messages

28. Complex Event Processing " Events in several forms, from simple events to complex events, will become very widely used in business applications during 2004 through 2008 " --- Gartner July 2003 Situation Detection

29. Bloor Report on Event Processing Automated Operational Decisions Automated Predictive Decisions Human Predictive Decisions Human Operational Decisions Decision Latency Event Complexity Process Complexity Pattern Matching and Inferencing Anti-Money Laundering Credit-Card Fraud Exchange Compliance Database Monitoring Algorithmic Trading Trade Desk Monitoring Customer Interaction Order Routing RFID Tariff Look-Up Rail Networks Search & Rescue Baggage Handling Liquidity Management

31. TIBCO BusinessEvents™ Solutions Overview BusinessEvents™ Solutions Space Data: Events & Databases -Real-Time & Historical Data Models: Statistical Financial Optimization Comms: Pub/Sub Messaging Queues Topics UIs Knowledge: Facts & Rules

33. TIBCO BusinessEvents™ Overview Collection, Normalization Metric of Managed Objects, Normalized Non-Contextual Events Metadata Repository Semantic Model Events Rules Design Environment State Model Event Management, Correlation, Aggregation, Inference and Analysis Correlated, Analyzed, Contextual Dialogue Events Rules, Knowledge, Patterns, Models Visualization, Reporting, Alert Management Application Interface Feeds Visualization: Detection Metrics Agents Synthetic Warehouse Visualization: Process View Dialogue Manager Inference Engine FDS/IDS Logfiles Edge Devs Sensors

34. BusinessEvents™ Components Enterprise Metadata (Concepts, Properties, State Models, XML Schemas, Business Rules) BusinessEvents Workbench (Designtime) BusinessEvents Engine (Runtime) Business User Interface Business User Language Decision Tables Runtime Viewer Management Server

36. Standard TIBCO Design, Deploy, Run Model

37. CEP Use Case Illustrated

38. CEP Use Case Illustrated

41. Thank You! Tim Bass, CISSP Principal Global Architect, Director TIBCO Software Inc.