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Data Center Changes
Greg Althaus
DCS Solutions Engineer
What Is DCS?
• Data Center Solutions
– Focuses on 100 largest hyper-scale deployments
• Global Dedicated Team
– Sales
– Engineering
– Deployment
• Providing Hyper Scale Computing Platforms
– Customized Engineering
• Deriving Competitive Advantage
– High Efficiency
– Latest Technology
– Reduced Mass-Market Features
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In three years DCS…
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Developed and Shipped 40+ Platforms
Shipped in Excess of 500,000 Servers
Claim 3rd Largest x86 Server Company in U.S.1
Claim 5th Largest x86 Server Company in World1
Claim 6th Largest x86 Server Company in China1
Shipped more Container Data Centers than any of our Competitors
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Q1 CY 2010 IDC x86 Server Tracker
We’re just getting started…
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Leveraging DCS Experience to Fill the Gap
Data
Center
Solutions
Software
Resiliency &
Availability
Hyperscale
Scale
PowerEdge
Core
Single
Machines
Hardware
* Conceptual, not to scale
Broad Usage
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Design &
Features
Specialized
Customized
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The Largest Data Centers are Taking a Revolutionary Path
And they are setting a new economic bar for IT efficiency
Efficiency
Evolutionary
Admin
Storage
Costs
300
servers/admi
n
$2.20/GB/Mo
nth
Revolutionary
Admin
3,000
servers/admin
Storage
Costs
$0.40/GB/Mon
th
Network
Costs
$13/Mbps/mo
nth
 “Leapfrog” Efficiency Gains
Pwr.
 Platform-based
PUE = 1.15
Efficiency
 Application-oriented
 New benchmark of CIO’s
Utilization
50-60%
 Dell is powering
20 of 25 largest
Network
$95/Mbps/M
Costs
 Incremental onth
Efficiency Gains
 Virtualization-based
Pwr.
 Infrastructure-oriented
PUE = 1.7
Efficiency
Utilization
Today
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~25%
Inflexible Form-Factors
Complex Layered Networking
Tool/Process Lock-in
Expensive, Proprietary HW
Adoption
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Technology Directions
WORKLOADS
TYPE
SOLUTION
Compute
Aggregation
• Search
• Hadoop
• Mem Cache
RESOURCES
CPU
MEMORY
HDD
& Flash
NETWORKING
I/O
FORCING
FUNCTION
Perf/W/$
• HPC
• Visualization
Inexpensive
Bulk Storage
Plausible
Performance
• Freemail
• Online backup
• File/Document
TCO$
Archiving
Database
Analytics
• Social
Video
Services
• Streaming Video
Utility
Computing
• Performance
Perf/W/$
Networking
• Web Analytics
TCO$
Storage
Var$
• Virtualization
Platform
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Dynamically
Interactive
• Online Gaming
Managed
Systems
• Hosting
• Leased System
• Web Front End
Maintain
Price/Perf/Pwr
Perf/$
$
Force
Reduction
Force
Increase
Drive
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Scale
Ultimately, Software Drives Cloud Hardware
• Changes to Applications
– Application designed to fail (fault tolerance)
– Externalization of State (portability)
– Application Striping (RAIN)
• Better app distribution means fewer hardware requirements
• Leads to hardware decisions
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Fault zones
No RAID (See SWIFT!!)
No redundancy
Flatter networks
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Hyper-scale Infrastructure
Cloud Infrastructure
Fault Zone
(15/rack, all the same, local storage)
Fault Zone
Fault Zone
Generic Compute Nodes
Application Deployment
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Traditional Apps mapped to Cloud
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Mapping Apps to Infrastructure
Web
Web
Web
Web
Web
Web
Web
Web
DB
Web
Web
Web
DB
DB
DB
LoadDB
Balancer
Web
DB
DB
DB
Web
DB
Web
Web
Web
Load Balancer
Load Balancer
Load Balancer
DB
DB
DB
Web
Web
Web
Web
Web
Web
Load Balancer
Load Balancer
Load Balancer
Load Balancer
Web
Web
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And, Cloud Hardware drives Management
• Better app scaling means more hardware to scale onto
– see Jevon’s Paradox (higher unit efficiency drives to more total use)
• Leads to Management Change
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iDrac removed to ipmi
Large Cloud kills whole rack and brings it up with out heads
Limited or no console access
“Lights Out” Data Center
• Undiscovered Territory
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Security
Network Virtualization
Integration
Practical Bursting
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Minimum to Play?
• Beginning to see market dynamic change
• Public Clouds eliminate barriers to entry
• Defer hardware costs to a later point in the life cycle
• Public Clouds are picking up services which push out that cross-over
point
• All this drives to larger deployments when the trigger to internalize is
pulled
• Zynga deploys games on Amazon and then pulls them back after a
certain set of success criteria are achieved
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Datacenter Market View
• Key DC pain points: Capex, Efficiency, Speed, Flexibility
• Growing demand for data center capacity
– 46% will build a new DC within 2 years; 35% said their newest DC was >5 yrs
old*
– Build plans delayed; explosion in data generation/capture
Dell’s Modular Data
Center
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*: Gartner survey Apr 2010
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Module Shipping
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