In this webinar, SSD (solid-state disk) and application performance expert Jamon Bowen will examine the various types of SSD and how they align with application architectures and deployment models. He will examine how performance, cost, and feature sets impact deployments of SSD in today's evolving datacenters. In short, this webinar will demystify SSD and help you make informed architectural choices to fulfill your performance needs. Please visit Texas Memory Systems at http://www.ramsan.com for more information and to request a quote.

1. Straight Talk on Replacing
Thousands of Hard Disks with Just
One Solid State Disk
Jamon Bowen, Director of Sales Engineering
Levi Norman, Director of Marketing
November 2010
The World’s Fastest Storage®
for over thirty years!

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Presentation Synopsis
Thank you for joining Texas Memory Systems to learn how
Solid State Disk(SSD) is being incorporated into Data Centers
to improve the price/performance equation for applications
and storage. Technology developments and improved
economics are making SSD more interesting and affordable,
but there is often confusion about available solutions and
how they can be incorporated into existing data center
architectures.
In this webinar, SSD and application performance expert
Jamon Bowen will examine the various types of SSD and how
they align with application architectures and deployment
models. He will examine how performance, cost, and feature
sets impact deployments of SSD in today’s evolving data
centers. In short, this webinar will demystify SSD and help
you make informed architectural choices to fulfill your
performance needs.

3. The World’s Fastest Storage®Get a quote at txmemsys.com/quote
TMS the Company,
The SSD Market, The
RamSan Portfolio

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Texas Memory Systems, Inc
The World’s Fastest Storage®
16th generation
Established enterprise customer base
32 yrs SSD experience
Deep & established engineering
History of “changing the game”
Privately held; no VC/long term debt
Global in presence
TMS architects and creates The World’s Fastest Storage® in varying
memory mediums and form factors ranging from RAM rack mount
systems to Flash PCIe direct attach storage options.
Each product is developed with enterprise capability and needs in
mind and leverages the very best of each previous design.

5. The World’s Fastest Storage®Get a quote at txmemsys.com/quote
Sent a text
message
Placed online bet
Booked a cruise
or flight
Used an ATM
Conducted a
financial trade
Shopped online
Used pre-paid
wireless
Gamed online
Select RamSan Facts…
…RamSan is Everywhere
The largest SSD installations in production in
the world
Currently operating in 9 major financial
exchanges worldwide
Used today by 7 out of 11 of the world’s largest
telecoms
Installed and in production in over 35 countries

6. The World’s Fastest Storage®Get a quote at txmemsys.com/quote
Select RamSan Facts…
…RamSan is Everywhere
The largest SSD installations in production in
the world
Currently operating in 9 major financial
exchanges worldwide
Used today by 7 out of 11 of the world’s largest
telecoms
Installed and in production in over 35 countries Sent a text
message
Placed online bet
Booked a cruise
or flight
Used an ATM
Conducted a
financial trade
Shopped online
Used pre-paid
wireless
Gamed online

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The Need for Solid State
Three major customer challenges drive Texas Memory Systems to
evolve and develop new solid state disk solutions
PerformanceLatency
Power

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Market Expansion
State of Solid State
Overview & Size IDC, June 2010
Enterprise Revenue (projected):
2009: $400 Million
- Initially projected at $250M
2010: $450 Million
2013: $2 Billion
Competitive Landscape
2010: 200+ SSD co’s StorageSearch.com
2010: Storage OEM offerings multiply
- SSD becoming specialty offering
across OEM tiers (storage, server,
software)
2012: SSD is ubiquitous

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Average WW Traffic of SSDs
Jan42004
Feb272005
Apr232006
Jun172007
Aug102008
Oct42009
Search Volume
Market Expansion
Leading Indicators
Growth in SSD
Searches on Google
Growth in Requests for
Pricing (TMS)
TheInfoPro Heat Index
SSD and Performance
IDC Market Predictions
Sources: Google Trends, TMS, TheInfoPro, and IDC – 2009 and 2010
Requests for (Pricing) Quotes to TMS
0
200
400
600
800
1000
1200
1400
1600
1800
Q107 Q207 Q307 Q407 Q108 Q208 Q308 Q408 Q109 Q209 Q309
Enterprise Flash Revenue ($M) per IDC, 2010
0
500
1000
1500
2000
2500
2008 2009 2010 2011 2012 2013

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Market Expansion
Trailing Indicators
F1000 SSD Adoption
(TheInfoPro)
F1000 SSD Adoption
(by Vendor)
Growth in Capacity
Sold (TMS)
Growth in Zeus IOPS
Revenue (STEC)
Growth in Flash (Usable CapacitySold)
Q3/07 Q4/07 Q1/08 Q2/08 Q3/08 Q4/08 Q1/09 Q2/09 Q3/09 Q4/09Zeus IOPs (STEC) Revenue Growth
$-
$20,000,000
$40,000,000
$60,000,000
Q1/08 Q2/08 Q3/08 Q4/08 Q1/09 Q2/09
Source: TheInfoPro, TMS, SEC Filings – 2009 and 2010

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Market Expansion
Primary Catalyst for Market Growth
$ per GB RAW
(Source: SPC-1 Data, TMS pricing history)
1
10
100
1000
5/24/2002 5/24/2003 5/23/2004 5/23/2005 5/23/2006 5/23/2007 5/22/2008 5/22/2009 5/22/2010 5/22/2011 5/21/2012 5/21/2013
$/GB RAM SSD
$/GB Flash SSD
$GB Flash (est)
$/GB HDD
$ GB HDD (est)
Expon. ($/GB RAM SSD)
Expon. ($/GB Flash SSD)
Expon. ($/GB HDD)
RAM SSD
FLASH SSD
Performance HDD
Source: TMS and Industry HDD Pricing Reports
Convergence of Flash SSD and Performance HDD Pricing

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Faster Flash
– 2010 – 3xnm SLC/MLC Flash (doubles the density)
• 3xnm preserves 100k SLC write endurance; 2xnm likely not…
– New protocols for moving data to/from Flash
• Toggle Mode – Samsung
• ONFI (Open NAND Flash Interface) - Micron
Fast Interfaces
– 8Gb Fibre Channel for low latency/high IOPS
addresses OLTP
– QDR InfiniBand for low latency/high bandwidth for
data warehousing and HPC
Faster Applications

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Faster Flash Architectures
Operating Systems, File Systems and Applications
Designed for Flash
• OS vendors are currently optimizing for Flash
• Files system vendors adding features to support Flash as storage
and Flash as cache
• Application vendors suddenly have one less major bottleneck to
address and are designing applications to use Flash
Faster Applications

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RamSan Product Portfolio
RamSan-440
RamSan-500
RamSan-630
RAM-Based
Network Attached
FLASH-Based
Network Attached
FLASH-Based
Direct Attached
SYSTEMS
PCI
RamSan-20
Closing the Performance Gap
SSD…
Is Non-Volatile Storage
made from RAM and Flash
components
Dramatically Lowers
Response Time
Offers extremely High IOPS
and Bandwidth
Delivers more
Performance/Watt
consumed
Increases Application
Performance
Is a Green technology

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Typical RamSan Application Matrix
Do more, do it faster and support more concurrent users with RamSan!
FINANCIAL
•Trading Systems
• Messaging Systems
• Periodic Reporting
• Batch Processing
• Data Acquisition
GOVERNMENT
• Oracle Databases
• Metadata
• Data Acquisition
• Data Warehousing
• Airborne Data
Centers
E-COMMERCE
• Web Databases
• Shared Content
• Online Gaming
• Online
Communities
HPC
• Scientific
Computing
• Seismic Processing
• Rendering
• Video on Demand
• Data Acquisition
TELCO
• OLTP DB
• Batch Processing
• Data Warehousing
• CRM
Database Acceleration (Oracle, SQL-Server, etc)
The World’s Fastest Storage®

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How SSDs Are
Changing Datacenter
Architecture

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Types of SSD
RAM-based SSD
– Highest performance storage possible
– Requires built-in batteries and nonvolatile
storage
Flash-based SSD
– Non-volatile chip, high density, low power
– Chips require special handling for writes
• Wear leveling
• Bad block replacement
– Faster than disks, but at least 10x slower
than RAM
– Capable of disk density
– Low power

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Many SSD Deployment Options
Available Today
Storage Centric
– Typically form factor SSD
– Designed to fit requirements of Storage
System vendors
Network Centric
– Designed to attach to servers via
network
• Rack mount/Appliance model
Server Centric
– Designed to fit into the server
• PCIe
• Embedded on the motherboard
Source:www.emc.com

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RAM Usage within Storage
Storage Centric
– SAN Cache
Network Centric
– RAM SSD Appliance
Server Centric
– File System Cache
– RAM Drive
Source: www.creativestrategiessvc.com

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RAM SSD - Has a long deployment history
for adding persistent memory to an application
RAM SSDs provide ability to add storage persistence to
an application without sacrificing RAM performance
Typically involves clustered
servers and mirrored RAM
SSDs
– Database Logs
– Financial applications
– Real-time billing systems

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Flash SSD
Currently dominates the SSD discussion
Many factors driving growth
– Price/GB has been declining faster than other
options (Disk or RAM)
– Price/performance is extremely inexpensive
– Dramatic space and power savings for persistent
storage
Explosion in deployment options

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Typical vectors
Performance
• Latency
• Bandwidth
• IOPS
Cost
• Minimum total cost
• Cost per capacity
• Cost per performance
• Operational cost considerations
• Management cost considerations
Features
• Determines the best fit architectures
SSD Deployment Options

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Performance
Application Acceleration
With enough disks you can get IOPS and
you can get bandwidth
Disks have to seek or rotate faster to get
lower latency
Latency is the reason that SSDs
accelerate apps
– All using the same basic chips

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Performance
Latency Comparison
Storage Centric
Bus overhead + Bus to Network Adaptor + Network Adaptor
to Storage Controller Bus + Storage Controller
Processing Stack + Bus to back end storage Network
Adaptor + Network Adaptor to internal SSD Bus
Network Centric
Bus overhead + Bus to Network Adaptor Overhead + Network
Adaptor to SSD overhead
Server Centric
Bus Overhead Only

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Performance
Making the Comparison
A Simple Test - Measuring the latency
impact of typical HBA…
Single Test System with both internal and external SSD

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4 KB Write Performance vs
IOPS Load
0
0.02
0.04
0.06
0.08
0.1
0.12
0.14
0 50000 100000 150000 200000
ResponseTime(ms)
IOPS
IOPS vs Response Time
PCIe SSD
External SSD

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Response Time vs IOPS 100% 8k Random Reads
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1.6
1.8
2.0
0 10000 20000 30000 40000 50000 60000 70000 80000 90000 100000
IOPS
ResponseTime(ms)
Intergrated SSD Solution A
Integrated SSD Solution B
PCI SSD
FLASH Based System
RAM Based System
Response Time vs IOPS

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Cost
Server Centric
Lowest cost of entry
Cost per capacity determined by chip
used & vendor
– Biggest drawback is fixed capacity vs
capacity used
Operational cost consideration
– Lowest operational costs
– Highest management costs

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Cost
Network Centric
Starting cost - tens of thousands range
Cost per capacity determined by chip
used & vendor
Operational cost consideration
– Low operational costs
– Some management centralization

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Cost
Storage Centric
High cost of entry – primarily dominated
by the storage controller cost
Cost per capacity typically higher to cover
OEM markup
Operational cost consideration
– Better operational cost than disk
– Lowest management costs

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Features
Server Centric
– Minimal
– Driver installation requirement
Network Centric
– Shareable, server cluster support
– Central management and monitoring
Storage Centric
– Leverages storage controller feature set
• Replication, snapshot, backup, etc
• Management features are the primary benefit of
this deployment method

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Varying SSD Architectural
Deployment Models
Scale UP Architecture
– Monolithic design of Servers and Storage
Scale OUT Architecture
– Distributed design of Servers and Storage
Mixed
– Scaled OUT Servers with Scaled UP Storage
– Scaled UP Servers with Scaled OUT Storage

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Scale UP Architecture
Monolithic architecture
– Single application image
– Well suited to applications that require tightly
correlated datasets and a shared state
External system design if
– High Availably Requirements
• Active/active clustering - external system
– Capacity
• External system can scale to much higher capacities
Internal solution
– Fits this model when a 3-4u server or workstation is
used to provide a powerful single server solution

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Scale OUT Architecture
Distributed modular architecture
Well suited to applications with easily
partition-able and loosely correlated
datasets
Shared nothing cluster for availability

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Scaled UP Storage
Single Application
Compute resources scale out
– HPC setup
– Many node Oracle RAC
Storage scales up
– Single shared namespace

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Scaled UP Storage
Multiple Applications
Many different applications with
different requirements
Centralized Data Management
Primary Benefit
– Performance tradeoff
– Some array features become more valuable
when there are more applications in the
same management framework (i.e. Dedupe)
– Obvious SSD feature: Tiering

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Typical Storage Array
Storage Controller Storage Controller- Standard
Processors
- Memory
- HBAs
- Storage
Management
Software

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Challenges with the Centralized
Storage Controller
In an HDD world
– Capacity is cheap
– Performance is expensive
– Disks are too expensive for performance to
worry about storage controller bottlenecks
Well architected SSDs change this scenario
– Performance is now cheap

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Disk vs SSD
SSD’s other use case
What if the latency on an SSD was the
same as for an HDD?
Applications wouldn’t run faster…
…SSDs would still be the future!

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You have to buy the physical
disk operating components
for each disk that you buy
(Big difference as compared
to tape)
Multiple disks needed for
random IO performance
Disk vs SSD
HDDs fundamental flaw
Platter cost per bit
decreases rapidly every
year. Single
manufactured
component.
Many components in the
head, armature, and
motor. At low capacities
the costs of these
components is dominant.

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Disk vs SSD
Performance Disks
Much more expensive than consumer
disks
Fully burdened price includes the cost of
the controller, often doubles price per GB
Faster
Less capacity
Public price data available from the
Storage Performance Council
www.storageperformance.org

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Disk Price per GB in
Enterprise Array
$0.00
$10.00
$20.00
$30.00
$40.00
$50.00
$60.00
$70.00
$80.00
$90.00
5/24/2002 10/6/2003 2/17/2005 7/2/2006 11/14/2007 3/28/2009 8/10/2010
$/ GB
$/ GB

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$/ Disk
$0.00
$1,000.00
$2,000.00
$3,000.00
$4,000.00
$5,000.00
$6,000.00
5/24/2002 10/6/2003 2/17/2005 7/2/2006 11/14/2007 3/28/2009 8/10/2010
$ /Disk
$ /Disk
Linear ($ /Disk)

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Object Intensity
Combines both throughput and capacity
requirements
Call it IOPS/GB
At a high enough IOPS/GB SSD is the cheapest
solution
At a low enough IOPS/GB capacity oriented
disk drives meet the performance requirement
In between is performance optimized drives
(15K RPM)

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Based on Performance AND
Price per GB
Solid State Disk Territory
Fast HDD Territory
Capacity Oriented HDD Territory

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Looking Forward
SSDs will replace performance HDDs
Scale out shared nothing designs
Scale out storage controllers
Separation of performance sensitive
apps and the utility model applications

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Find out more or get a quote…
Please visit www.ramsan.com for broad
product information and company
information
or
Visit www.ramsan.com/products/quote to
obtain a Full-Service Quote or a Self-
Service Quote
Thank you for joining us today!