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

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

Notes de l'éditeur

  1. • Dynamic Scaling – provision and add cloud servers to the BigInsights cluster on demand.• Failover – Transparently restart nodes or start new nodes in the case of failure.• Role assignments – Assign new roles to the BigInsights nodes from the Cloudify console.• Monitoring – Monitor deployments using the Cloudify UI with smooth integration to the BigInsights UI. • Data Rebalancing – Kick off Hadoop cluster rebalancing from the Cloudify console. • Hadoop operations – Run Hadoop DFS & DFSAdmin operations from the Cloudify console.