Analyst Day 2011 presentations by Dave Hitz Founder & EVP

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