Putting Hadoop on any Cloud. NATI SHALOM at Big Data Spain 2012

Session presented at Big Data Spain 2012 Conference
16th Nov 2012
ETSI Telecomunicacion UPM Madrid
www.bigdataspain.org
More info: http://www.bigdataspain.org/es-2012/conference/putting-hadoop-cloud/nati-shalom

Transcript

2. Columbus & The Cloud
5. http://code.zynga.com/2012/02/the-evolution-of-zcloud/
6. http://code.mixpanel.com/2010/11/08/amazon-vs-rackspace/
11. Realization: What You Really Care about Is App Portability
14. http://techblog.netflix.com/2012/07/benchmarking-high-performance-io-with.html
16. A Typical Big Data App…
17. • Auto start VMs • Install and configure app components • Monitor • Repair • (Auto) Scale • Burst…
18. Making the deployment, installation, scaling, fail- over looks the same through the entire stack
19. Running Bare-Metal for high I/O workload, Public cloud for sporadic workloads..
20. • Available under different distributions • Cloudera • IBM BigInsights • MapR • Hortonworks
22. Putting Cloudify and Hadoop Together • Run on Any Cloud • Consistent MGT • Dynamic Scaling • Auto Recovery • Auto Scaling • Role Assignments • Monitoring • Simple maintenance
23. Few Snippets..
24. Demo Time..
25. http://www.cloudifysource.org http://github.com/CloudifySource https://github.com/CloudifySource/cloudify- recipes/tree/master/services/biginsights