The massive computing and storage resources that are needed to support big data applications make cloud environments an ideal fit, and more so OpenStack, which is open and is emerging as a standard for both public and private clouds. But managing your big data app is no walk in the park - configuration, orchestration, HA, auto-scaling are all quite hard to do - which is where Cloudify fits in.

1. BIG DATA APPS
ON OPENSTACK

2. about:me
Head of Product @ GigaSpaces
@uri1803
github.com/uric

3. “Big data and cloud technology
go hand-in-hand. Big data needs
clusters of servers for
processing, which clouds can readily
provide.”
Ed Dumbill, The O’Reilly Radar

4. Why OpenStack?
• Everyone (well, almost…) is in
– HP, RackSpace, Dell, IBM, RedHat
• Same API for public & private clouds
– Cloud bursting
– Portability

5. The 3 V’s of Big Data

6. Big Data Is Not Just About Elephants

7. Distributed File System

8. Map/Reduce

9. Data Mining

10. Data Access

11. Discovery & Orchestration

12. Real Time Event Processing

14. HDFS, in Reality

15. Map/Reduce, in Reality

17. Mongo, in Reality

18. Storm

19. Storm, In Reality

20. And What about Other Parts
of Your App??

21. And This is What Your Big Data
App Will Eventually Look Like

22. Managing All of That In the Cloud
• Start VMs
• Install and configure components
• Monitor
• Repair
• (Auto) Scale
• Burst…

23. Managing Big Managing Big
Data Apps ≠ Data

24. Some Existing (partial) Solutions

25. Introducing Cloudify
the Open Paas Stack (Pun Intended)

26. When PaaS Met DevOps…

27. Your App, Your Recipe

28. How It Works
Process Install
Bootstrap
Application Configure
Java & Cloudify
Recipe Start
Agent
Monitor
& Ensures H/A
Commands
Resource
Allocation
Invokes IaaS
API Compute
Services

29. Demo
Apache

30. Q&A

31. THANK YOU!
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