1. CSPA Workshop Hackathon
June 22, 2016

2. Problem statement
How to build an environment to support statistical production utilizing CSPA
Single service != statistical process

3. Options Point to point integration Centralized orchestration
“Smart services”

4. Point to Point Integration
Effort / Logic
Classification service
Web Collection service
Validation service
Manual editing
Service n
System for subject 1
System for subject 2

5. Centralized orchestration
Effort / Logic
Classification service
Web Collection service
Validation service
Manual editing
Service n
Orchestration engine
Service Bus
System for subject 1
System for subject 2

6. “Smart Services” Message broker Effort / Logic Classification service
Web Collection service
Validation service
Manual editing
Service n
Message broker

7. Point to point integration Centralized orchestration “Smart Services”
Benefits
Low initial cost
Centralized governance
Control over orchestration
Loose coupling
High reusability
Choreography instead of Orchestration
Agile
Problems
Increased cost and complexity with many integrations
Business logic / Orchestration logic in each application
High cost of maintenance
Low agility
Risk of single point of failure
Business logic in the transport layer
Higher architectural complexity
Less proven for Statistical production
Different way of thinking
Mitigation actions
Standardize service contracts
Standardize the client software
Use it for the right thing
Careful with vendor specific functionality
Need to train people
Governance on development of services

8. Point to Point Integration - Cost over time
Loss
Cost
New pattern for communication
Gain
Point to point
Number of connections

9. Next steps Is CSPA LIM complete enough?
What are the consequences of the different options in regards to granularity and patterns
Migration path
CSPA IG should extend guidance
Prototypes / Reference environment