4. Overview
Company Strangeloop Networks - Vancouver, Canada (2006)
Product Strangeloop AS1000™ Application Scaling Appliance
Clients
Awards
Best in Optimization 2009
www.networkproductsguide.com
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5. The Challenge of Dynamic Web Applications
Web 2.0 : Dynamic Web Applications
Collaboration
Apps
Web Services
User Created
Content
Interactive
Personalized
Real-time
data
Wikis
Video
Brochure Voice
Web 1.0: Static Web Sites sites
Rich applications place new, unmet performance demands on IT infrastructure
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6. Front-End Performance Challenge
10~20% of the load time is spent on the back-end
80~90% of the load time is spent on the front-end.
Front-End
Performance Challenges $ Spent on Performance
Back-end
Front-end Back-end
Bandwidth Front-end
Servers Bandwidth
CDN CDN
Front-End
Empty Cache Primed Cache
www.wikipedia.org 82% 80%
www.microsoft.com 75% 72%
www.yahoo.com 86% 81%
www.cnn.com 85% 82%
www.facebook.com/ 97% 96%
www.aol.com 92% 85%
www.nytimes.com 72% 68%
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7. Solving the Performance Challenge
Development approach
Strangeloop AS1000
+ Tried and true optimization Strangeloop AS1000 IT / Network approach
techniques + Offload tasks to network
+ Lever software /platform Optimize applications + Predictable, measurable
features automatically, in real time, ROI
- Hand tune components, with a network device - No knowledge of
pages, code for application or data
performance status
- No knowledge of user
- Demands rare and costly
development resources
Joining optimization techniques with a network device to change how
applications are developed and deployed
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18. Image Consolidation
Real Time Browser Based Image Consolidation
Different techniques based on browsers Web Servers
Multiple
Images
Single
Image
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19. JavaScript & CSS Consolidation
Intelligent JavaScript and CSS Consolidation
Web Servers
Adaptive Consolidation
• JavaScript and CSS Consolidation based
on browser
Client Browser
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24. AS1000 Virtual Appliance
Benefits Of Virtual Deployment
A virtual AS1000 deployment carries with it the benefits of
virtual environments, which include:
Ease of deployment without any network interruption,
rewiring, or impact
Use of existing resources and available processing
resources
Increased hardware utilization
Decrease in costs, including hardware, power consumption,
cooling, and operational expenses
Scalability and elasticity
Platform Supported OS OS Version
VMWare Infrastructure 3 Yes ESX 3.0 (3.0.0+)
VMWare vSphere 4 Yes ESX 4.0 (4.0.0+)
XenServer Yes XenServer 5.5
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25. Sirius Benefit Plans (Canada)
Performance Challenge
• With large numbers of participants
simultaneously using their online benefits
management application, Sirius Benefit Plans has
application performance as a top
priority.
Solution
• The Strangeloop AS1000 improves the
performance and scalability of dynamic Web
applications by intelligently reading requests and
applying ASP.NET and AJAX software
optimization techniques in the network.
Benefits
• Serve 300% more simultaneous participants
• 64% bandwidth savings across all pages
• Over 260 hour savings of end-user time per
month
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26. Millennium Pharmacy (USA)
Performance Challenge
• Ensure that a data-intensive application
delivers consistently fast response times
• Reduce time spent on performance
optimization
• Focus on developing competitive new
service features
Solution
• Deploy Strangeloop AS1000 to minimize
data traffic and accelerate application
performance
Benefits
• Improved developer productivity
• More development resources for new
feature development
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27. Autoanything.com (USA)
Goals
• Maximize Revenue
• Increase User Satisfaction
Solution
• Strangeloop AS1000 Network Appliance
Results
• 33% increase in revenue
• 8% increase in conversion rate
• 5% reduction in bounce rate
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28. Disaboom (USA)
Business
• Online interactive community for people with
disabilities
• > 76,000 subscribers
• > 600,000 visitors / month in October
• # of visitors doubled from July to October
Performance Challenge
• Small IT staff
• Need to deliver new features and make sure
application scales
• > 7% of users on dial-up
• Expect continued growth
Results
• Reduced payload by 50%, perceptibly
improving user response times
• Offloaded servers significantly
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29. The Future
Personalized Optimization
By User and Flow
Each browser and browser version
is different and must be optimized
differently
Mobile
Optimization
Real Time
Behaviour
Heuristics
Auto Browser Detect
and Optimization
J S C G
J
W S HI
Auto Cabinets P
G
S
F S TF
M
T
L
AS1000 Automatically
Optimizes for the Mobile Web
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30. Q&A
DE: webbooster.de
EN: strangeloopnetworks.com
European inquiries: info@webbooster.de
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