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Web Performance Acceleration with Strangeloop AS1000
This document provides an overview of the Strangeloop AS1000 application acceleration appliance. It discusses how dynamic web applications place new performance demands on infrastructure. The AS1000 solves front-end performance challenges by applying optimization techniques automatically and in real-time at the network level. The appliance includes a dynamic choreography engine that applies application, network, and browser-facing treatments. It demonstrates treatments like compression, caching, connection optimization, and viewstate handling. The document outlines deployment options, models, and virtual appliance support. It shares case studies of companies that saw benefits like increased revenue, conversion rates, and developer productivity by deploying the AS1000.
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Web Performance Acceleration with Strangeloop AS1000
- 1. Web Performance Acceleration with Strangeloop AS1000 Thomas Stensitzki 1. European Day of DotNetNuke @ Paris - Session 159
- 2. Thomas Stensitzki • SeniorConsultant at iCOMcept GmbH, Aachen – www.icomcept.de – Microsoft Gold Partner – SPLA Hosting Provider • MCITP, Enterprise Administrator, Exchange 2007 & 2010 • MCTS, Sharepoint 2007, Virtualization, BDD • MCPD, ASP.NET 3.5 • Founder .NET Usergroup Aachen (OecherCoder, www.oechercoder.net) • Member European DotNetNuke Professionals • Blog: http://www.sf-tools.net • E-Mail: thomas.stensitzki@icomcept.de 2
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- 4. Overview Company Strangeloop Networks - Vancouver, Canada (2006) Product Strangeloop AS1000™ Application Scaling Appliance Clients Awards Best in Optimization 2009 www.networkproductsguide.com 4
- 5. The Challenge ofDynamic 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 5
- 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% 6
- 7. Solving the PerformanceChallenge 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 7
- 8. Solution for Front-EndPerformance Problem 8
- 9. Demo 9
- 10. Strangeloop – DynamicChoreography Engine Pipeline Manager In Memory Database Pipeline Mirrors & Data Replication with High Availability Dynamic Choreography Engine Application Network Browser - Facing - Based - Facing Treatments Treatments Treatments Web Browsers Applications c Configuration Analysis 10
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- 12. Strangeloop Application AccelerationTreatments 12
- 13. Strangeloop AS1000 AdditionalFeatures 13
- 14. Http Compression Automatic Compression Web Servers Client Aware Compression Adaptive Compression No End-User Agents • Gzip, Deflate Client Browser 14
- 15. RCache Web Servers Pre-Compressed Content Static / Dynamic Content Caching Multi-Store Caching Clients request contents 15
- 16. Predictive Browser Caching Intelligent Pre-Fetching Browser Idle Time Fetching political.aspx 435 BuildASign Home Political Signs colbert.aspx 158 Yard Template signs.aspx 130 wallet.aspx 42 bumpers.aspx 75 nation.aspx 17 banners.aspx 26 lincoln.aspx 13 magnetics.aspx 15 roberts.aspx 6 accessories 8 signs.aspx 3 all.aspx 7 all.aspx 1 buildasign.aspx 0 Political Sign & Template 16
- 17. Connection Maxomizer MaximisingTCP Connection Clients Web Strangeloop AS1000 Applications Internet 17
- 18. Image Consolidation Real Time Browser Based Image Consolidation Different techniques based on browsers Web Servers Multiple Images Single Image 18
- 19. JavaScript & CSSConsolidation Intelligent JavaScript and CSS Consolidation Web Servers Adaptive Consolidation • JavaScript and CSS Consolidation based on browser Client Browser 19
- 20. ASP.Net ViewState Automated Tokenizationfor ASP.NET ViewState ViewState (ViewState) Server ViewState Automatic ViewState Removal & Re-Insert Client 20
- 21. Multiple Hosting Services Strangeloop AS1000 192.168.10.101 Internet 192.168.10.102 Clients 192.168.10.103 VIP : 10.10.10.11 www.strangeloop.com 192.168.10.101 192.168.10.102 192.168.10.103 blog.strangeloop.com 192.168.11.101 192.168.11.101 192.168.11.102 192.168.11.102 192.168.11.103 192.168.11.103 Domain Name Server 10.10.10.11 www.strangeloop.com 10.10.10.11 blog.strangeloop.com Web Servers 21
- 22. UI Overview Diagnosis Configuration High Availability 22
- 23. AS1000 Appliance -Models AS1000 Basic AS1000 AS1000 Enterprise Single Dual Core Single Quad Core Dual Quad Core CPU Zeon 5500 Zeon 5500 Zeon 5500 Memory 4 GB 8 GB 16 GB Network 10/100/1000 Mbps Ethernet 10/100/1000 Mbps Ethernet 10/100/1000 Mbps Ethernet HDD 80G 160G 160G Profile 1U 1U 2U SSL CPS 5,000 15,000 24,000 SSL Throughput 500 Mbps 1Gbps 1Gbps Max Concurrent 32,000 100,000 250,000 Connection HTTP Requests & 4,000 TPS 10,000 TPS 20,000 TPS Responses 23
- 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 24
- 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 27
- 26. Millennium Pharmacy (USA) PerformanceChallenge • 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 28
- 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 29
- 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 30
- 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 31
- 30. Q&A DE: webbooster.de EN: strangeloopnetworks.com European inquiries: info@webbooster.de 32