1. CLARA . What’s new? CLAS Collaboration Meeting. March 6, 2019
Vardan Gyurjyan

2. Everything new is well-forgotten old
Framework review
V 4.3.8/9 overview
What’s next

3. Data Processing Station
Data-Stream Pipe
Orchestrator

4. Data processing Engine Data Processing Station Data Processing Service

5. CLAS12 Data Processing Application

6. Data Processing Station
Runtime Environment
Multi-threading
Communication
Data Processing Station
Configuration
Language Bindings

7. Communication Data-Stream Pipe req rep Transient data
Meta-description,
Serialization,
De-serialization
Data-Stream Pipe
Language Bindings

8. Data processing Engine
Independent
Development
Optimization
Debugging
Deployment
Recovery
Etc.
Java
Data processing Engine
C++
Python

9. Command-Line Interface Application Monitoring, Real-time Benchmarking
Hardware Optimizations
Application Deployment
and Execution
Service Registration/Discovery
Orchestrator
Exception Logging and Reporting
Data-Set Handling
and Distribution
Farm (batch or cloud) Interface
Application Recovery
Data-flow Synchronization

10. Clara v4.3.8/9
Introduced CLARA_USER_DATA environment variable to separate Clara installation form the user specific data. Note that this feature helps multiple users to use a common installation.
User specific data, such as input/output data files, application service composition and data-set description files, as well as log files and farm deployment scripts will be accessed through a user defined directories.
Minor bug fixes

11. Tutorials https://claraweb.jlab.org/clara/docs/clas/hands-on.html
Coming soon
My first service
How to write service in Java
How to write service in C++
How to design a hybrid application
How to design loops and conditional data flows
And many more…

12. In Conclusion
Monolithic
Micro-services
Future effort