Putting hadoop on any cloud  big data spain
 

Putting hadoop on any cloud big data spain

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The massive computing and storage resources that are needed to support big data applications make cloud environments an ideal fit. Now more than ever, there is a growing number of choices of cloud ...

The massive computing and storage resources that are needed to support big data applications make cloud environments an ideal fit. Now more than ever, there is a growing number of choices of cloud infrastructure providers, from Amazon AWS, OpenStack offered by the likes of HP, Rackspace and soon even Dell, VMware vCloud as well a...

INCLUDING
- Effectively managing your Hadoop stack in any data center (on-premise, cloud, hybrid…)
- Maintaining the flexibility to choose the right cloud for the job in an ever-changing environment
- Consistently manage your hadoop deployment with other elements of your Big Data system such as NoSQL DB, Web Tier etc.

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  • http://www.marineinsight.com/marine/life-at-sea/maritime-history/christopher-columbus-ships-vessels-that-discovered-america/Santa Maria, Niña and the Pinta were the three Christopher Columbus Ships
  • Santa Maria, Niña and the Pinta were the three Christopher Columbus Ships
  • • 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.
  • Any app - All clouds

Putting hadoop on any cloud  big data spain Putting hadoop on any cloud big data spain Presentation Transcript

  • 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 thedeployment,installation, scaling, fail-over looks the samethrough the entire stack
  • Running Bare-Metal forhigh I/O workload, Publiccloud for sporadicworkloads ..
  • • Available under different distributions• Cloudera• IBM BigInsights• MapR• Hortonworks
  • • Run on Any Cloud Putting • Consistent MGT • Dynamic ScalingCloudify and • Auto Recovery Hadoop • Auto Scaling Together • Role Assignments • Monitoring • Simple maintenance
  • How it works.. 1 Upload your recipe. 2 Cloudify creates VM’s & installs agents 3 Agents install and manage your app 4 Cloudify automate the scaling
  • Few Snippets..
  • Demo Time..
  • http://www.cloudifysource.orghttp://github.com/CloudifySourcehttps://github.com/CloudifySource/cloudify-recipes/tree/master/services/biginsights