0. Apache Storm
Kalyan Bhonagiri
Utah State University

1. History
• Created by Nathan BackType • Open sourced on 19th September, 2011 Documentation at Contribution Storm.html

2. Storm??

3. Storm Components

4. Storm Topology

5. Batch vs. Real-Time processing
• Batch processing
- Gathering of data and processing as a group at one time.
- Jobs run to completion
- Data might be out of date
• Real-time processing
- Processing of data that takes place as the information is being entered.
- Run for ever

6. Real Time Use Cases
• Social Media Feeds • Network Sensors • App/Web Logs • Stock Tick Data • Weather Data • Auctions • Payment Transactions

7. Storm vs Hadoop
• Stream Processing • Fast • Scalable • Fault Tolerant • Reliable

8. Parallelism

9. Storm Groupings

10. Streams

11. Reliable Processing

12. Storm Cluster View

13. Fault Tolerance

14. Fault Tolerance

15. Fault Tolerance

16. Fault Tolerance

17. Fault Tolerance

18. Companies & Projects Using Storm

19. Demo

20. References
Books :
• Getting Started with Storm - Jonathan Leibiusky, Gabriel Eisbruch, Dario Simonassi
• Storm Blueprints: Patterns for Distributed Real-time Computation - P. Taylor Goetz, Brian O'Neill