1.
Columbus & The Cloud

2.
http://code.zynga.com/2012/02/the-evolution-of-zcloud/

3.
http://code.mixpanel.com/2010/11/08/amazon-vs-rackspace/

4.
Realization: What You Really Care about Is App Portability

5.
http://techblog.netflix.com/2012/07/benchmarking-high-performance-io-with.html

6.
A Typical Big Data App…

7.
• Auto start VMs• Install and configure app components• Monitor• Repair• (Auto) Scale• Burst…

8.
Making thedeployment,installation, scaling, fail-over looks the samethrough the entire stack

9.
Running Bare-Metal forhigh I/O workload, Publiccloud for sporadicworkloads ..

10.
• Available under different distributions• Cloudera• IBM BigInsights• MapR• Hortonworks

11.
• Run on Any Cloud Putting • Consistent MGT • Dynamic ScalingCloudify and • Auto Recovery Hadoop • Auto Scaling Together • Role Assignments • Monitoring • Simple maintenance

12.
Few Snippets..

13.
Demo Time..

14.
http://www.cloudifysource.orghttp://github.com/CloudifySourcehttps://github.com/CloudifySource/cloudify-recipes/tree/master/services/biginsights