Financial Analyst Day – June 30, 2011 Dave Hitz EVP and Founder Founder’s Perspectives
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Financial Analyst Day – June 30, 2011
Dave Hitz
EVP and Founder
Founder’s Perspectives
A Combo of Historic Proportion
NetApp
SATA
RAID-DP
Flash
Value
Delivered
Cost
Reliability
Speed
A Combo of Historic Proportion
NetApp
SATA
RAID-DP
Flash
Value
Delivered
Cost
Reliability
Speed
EMC
20 Years Ago
SCSI
Mirroring
RAM
A Combo of Historic Proportion
NetApp
SATA
RAID-DP
Flash
Single platform increases market leverage
Key benefits:
Same performance, half the price
Configurable performance
Value
Delivered
Cost
Reliability
Speed
EMC
20 Years Ago
SCSI
Mirroring
RAM
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
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
Innovation
Innovation
Example: Networked Storage
Direct Attached
Storage (DAS)
Expensive
Inefficient
Complex
Networked
Storage
Example: Networked Storage
Direct Attached
Storage (DAS)
Expensive
Inefficient
Complex
Networked
Storage
Example: New Analytics
One big, expensive
computer
Many small, cheap
computers
or
Example: New Analytics
Works when…
Uniform problem
on uniform data
Doesn’t work when…
Multiple problems; non-uniform data
Workloads without balance in
capacity/compute
Have to buy servers to add capacity
Have to buy storage to add compute
Database with Hadoop Map/Reduce
Lots of CPUs
Existing network & DAS
Performance scaling just works
Overwhelms network
Overwhelms storage
Example: New Analytics
Enterprise-ready software solutions
CPU farms
Faster, bigger networks
Hadoop networked storage solutions
Database with Hadoop Map/Reduce
Lots of CPUs
Existing network & DAS
Performance scaling just works
Overwhelms network
Overwhelms storage
Example: Flash/Storage on the Host
Add storage to host
Unit of scale =
CPU + Storage
CPU
Flash
Scale drives IT markets toward:
Efficiency
Manageability
Shared infrastructure
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