An Economic Review of performance, scale and budget effects on the IT and organizational performance. Provided by SafePeak, an automated in-memory dynamic caching for SQL Server applications

1. IT PARTICLE ACCELERATOR
ECONOMIC VIEW
SafePeak Technologies
2012

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Latency is a key IT issue
• Responsiveness
• OPEX efficiency
A 400 millisecond delay resulted in a
0.59% decrease in searches/user (Google)

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Responsiveness
• Overhead
• Distraction (If RT > 1Sec)
Lost Productivity
RT = Response Time

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1 sec latency = 2 sec overhead
Source: Microsoft's artificial delay experiment

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Overhead
• Database speed up 100/1
#user * $/user * %Speed-up
500 * $40,000 * 2.5% = $500,000

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% Speed up – Amdahl’s Law
P – affected portion of computation improvement
S – magnitude of improvement
1_______
(1-P)+(P/S)
1_____________
(1-0.05)+(0.05/2) 2.5%
-1)X 100 = % Speed up(

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The cost of distraction
• Errors
• P grows significantly
1_______
(1-P)+(P/S)
Lim
P  1
S
1________
(1-1)+(1/2)
100%-1)X 100(

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Errors
• Data entry errors
• Missed data errors
• Misinterpretation errors
$$$

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P grows significantly
• Time “off-mission”
• Time to refocus
• P
• Time related sweet spot / window of
opportunity
$
$$$

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OPEX
Offloading
the database

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Avoiding
Architecture rewrites
Offloading Database
CPU & I/O

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• No lockout during peak times1
• Less expansive infrastructure2
• Scaling out without breaking the bank3
• Delay re-architecting the system4
Offloading & Distributed Caching

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Cache Efficiency
Cache hits/Total hits
High cache efficiency
• High offload
• High performance

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Time Spent
Resources(Infrastructure&HR)
Dynamic
Caching
Architecture
Rewrite
HW&SW
Cost Alternatives

15. THE VALUE OF EXTREME SPEED

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Be truthful to your IT ROI
Delay architecture rewrite
Turbo-Jet your IT
Infrastructure

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Thank You
Contact Contact information
Dror Bukai
VP Sales
dror@safepeak.com
052-6954600
www.safepeak.com
Speeding-up Data Retrieval
Questions?