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Founder's Perspective

NetApp
NetApp

Analyst Day 2011 presentations by Dave Hitz Founder & EVP

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Financial Analyst Day – June 30, 2011



Founder’s
Perspectives
Dave Hitz
EVP and Founder
A Combo of Historic Proportion
                  Value
    NetApp
                 Delivered

   SATA          Cost
  RAID-DP      Reliability
   Flash        Speed
A Combo of Historic Proportion
                  Value          EMC
    NetApp
                 Delivered   20 Years Ago

   SATA          Cost         SCSI
  RAID-DP      Reliability   Mirroring
   Flash        Speed         RAM
A Combo of Historic Proportion
                     Value             EMC
    NetApp
                    Delivered      20 Years Ago

   SATA             Cost            SCSI
  RAID-DP         Reliability      Mirroring
   Flash           Speed            RAM

 Single platform increases market leverage
 Key benefits:
    Same performance, half the price
    Configurable performance
A Scale Evolution Pattern

                Fast deployment
                 Spec’d by development, not IT
                 Do what’s easiest to get going

                Grow fast
                 Do more of what you did before
                 Things break:
                  cost, performance, and manageability

                Enterprise-ready deployment
                 Cost & operational efficiency
                 Performance & reliability
                 Manageable, repeatable
A Scale Evolution Pattern
       Innovation
                    Fast deployment
                     Spec’d by development, not IT
                     Do what’s easiest to get going

                    Grow fast
                     Do more of what you did before
                     Things break:
                      cost, performance, and manageability
       Innovation
                    Enterprise-ready deployment
                     Cost & operational efficiency
                     Performance & reliability
                     Manageable, repeatable
Ad

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Founder's Perspective

  • 1. Financial Analyst Day – June 30, 2011 Founder’s Perspectives Dave Hitz EVP and Founder
  • 2. A Combo of Historic Proportion Value NetApp Delivered SATA Cost RAID-DP Reliability Flash Speed
  • 3. A Combo of Historic Proportion Value EMC NetApp Delivered 20 Years Ago SATA Cost SCSI RAID-DP Reliability Mirroring Flash Speed RAM
  • 4. A Combo of Historic Proportion Value EMC NetApp Delivered 20 Years Ago SATA Cost SCSI RAID-DP Reliability Mirroring Flash Speed RAM  Single platform increases market leverage  Key benefits:  Same performance, half the price  Configurable performance
  • 5. A Scale Evolution Pattern Fast deployment  Spec’d by development, not IT  Do what’s easiest to get going Grow fast  Do more of what you did before  Things break: cost, performance, and manageability Enterprise-ready deployment  Cost & operational efficiency  Performance & reliability  Manageable, repeatable
  • 6. A Scale Evolution Pattern Innovation Fast deployment  Spec’d by development, not IT  Do what’s easiest to get going Grow fast  Do more of what you did before  Things break: cost, performance, and manageability Innovation Enterprise-ready deployment  Cost & operational efficiency  Performance & reliability  Manageable, repeatable
  • 7. Example: Networked Storage Direct Attached Storage (DAS)  Expensive  Inefficient  Complex Networked Storage
  • 8. Example: Networked Storage Direct Attached Storage (DAS)  Expensive  Inefficient  Complex Networked Storage
  • 9. Example: New Analytics or One big, expensive Many small, cheap computer computers
  • 10. Example: New Analytics  Database with Hadoop Map/Reduce  Lots of CPUs  Existing network & DAS  Performance scaling just works  Overwhelms network  Overwhelms storage Works when… Doesn’t work when…  Uniform problem  Multiple problems; non-uniform data on uniform data  Workloads without balance in capacity/compute  Have to buy servers to add capacity  Have to buy storage to add compute
  • 11. Example: New Analytics  Database with Hadoop Map/Reduce  Lots of CPUs  Existing network & DAS  Performance scaling just works  Overwhelms network  Overwhelms storage  Enterprise-ready software solutions  CPU farms  Faster, bigger networks  Hadoop networked storage solutions
  • 12. Example: Flash/Storage on the Host CPU  Add storage to host  Unit of scale = Flash CPU + Storage
  • 13. Scale drives IT markets toward:  Efficiency  Manageability  Shared infrastructure