San diego meetup

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San diego meetup

  1. 1. The State of Global Infrastructure Performance Marty Kagan marty@cedexis.com
  2. 2. ORIGINS
  3. 3. Web audiences are increasingly global
  4. 4. But global performance remains challenging
  5. 5. In 2002, the Solution was Content Delivery Networks
  6. 6. But the Internet is Immense and Complex Countries 230 Networks 28k+
  7. 7. And Even the Largest Providers Cover Only a Small %Akamai Technologies: The $6.6B Market Leader in CDN
  8. 8. Rackspace HostingMean Response Times 26 August 2012
  9. 9. Akamai CDNMean Response Times 26 August 2012
  10. 10. Edgecast CDNMean Response Times 26 August 2012
  11. 11. Level3 CDNMean Response Times 26 August 2012
  12. 12. CloudFront CDNMean Response Times 26 August 2012
  13. 13. Fastweb CDNMean Response Times 26 August 2012
  14. 14. The Solution: Maximizing global performance requires a diversified portfolio ! Multi-Cloud is the only way to deliver optimal performance to global users.
  15. 15. Variation by NetworkFastest Average Response Time, 26 August 2012
  16. 16. Variation by NetworkFastest Average Response Time, 26 August 2012
  17. 17. Variation by NetworkFastest Average Response Time, 26 August 2012
  18. 18. Variation over Time
  19. 19. How does one capture the end-user experience?
  20. 20. What We Need is a Community RADAR Assess performance of every cloud provider and content delivery network on the planet ACTIONABLE INTELLIGENCE
  21. 21. Seed the Market
  22. 22. Seed the Market
  23. 23. Seed the Market
  24. 24. Build a Community
  25. 25. Radar Community Edition
  26. 26. Radar: Javascript – Execution
  27. 27. Detailed reporting
  28. 28. Operating at ScaleMission critical software as a service platform running on 150 serversdeployed in 48 datacenters in 26 cities in 16 countries on 5 continents Measurements 1B (Day) Decisions 13B (Month) Public Clouds 87 Private Platforms 350+
  29. 29. WHAT HAVE WE LEARNED
  30. 30. Amazon EC2 EuropeMedian Response Times 26 August 2012
  31. 31. Amazon EC2 South AmericaMean Response Times 26 August 2012
  32. 32. Amazon EC2 Asia Pacific (Singapore)Mean Response Times 26 August 2012
  33. 33. Windows Azure West USMean Response Times 26 August 2012
  34. 34. Windows Azure West EuropeMean Response Times 26 August 2012
  35. 35. Windows Azure East AsiaMean Response Times 26 August 2012
  36. 36. Internap AgileCLOUD TexasMean Response Times 26 August 2012
  37. 37. Internap AgileCLOUD AmsterdamMean Response Times 26 August 2012
  38. 38. Internap AgileCLOUD SingaporeMean Response Times 26 August 2012
  39. 39. Variation by Network
  40. 40. Variation by Network
  41. 41. Variation by Network
  42. 42. Variation by Network
  43. 43. How does one drive traffic across a hybrid-cloud?
  44. 44. What We Need is a Way to Make Data Actionable RADAR OPENMIX Assess performance of Instantly match local every cloud provider user demand with the and content delivery best performing network on the planet provider at a given moment in time ACTIONABLE ADAPTIVE INTELLIGENCE AUTOMATION
  45. 45. How Openmix Works
  46. 46. Software Defined Request Routing
  47. 47. No Rules Engine 4
  48. 48. Means Unprecedented Flexibility 4
  49. 49. Simple DNS Integration CNAME - hosting.lemonde.fr CNAME - hosting2.lemonde.fr - lemonde.vo.llnwd.net Lemonde.fr 2-01-271d-0002 - lemonde.Amazon.net .cdx.cedexis.net - medias.lemonde.fr.edgesuite.ne - medias.lepost.fr.c.footprint.net - orig-10001.lemonde.cotcdn.net
  50. 50. Hosted on 3 Redundant Anycast NetworksNetwork I Network II Network III• Amsterdam • Frankfurt • Amsterdam• Atlanta • Hong Kong • Ashburn• Chicago • London • Atlanta• Dallas • Los Angeles • Brussels• Frankfurt • Madrid • Chicago• Hong Kong • Miami • Dallas• London • Milan • Frankfurt• Los Angeles • New York • London• New York • Paris • Los Angeles• Paris • San Jose • Miami• San Jose • Seoul • New York• Seattle • Singapore • Phoenix• Singapore • Stockholm • San Jose• Sydney • Tokyo • Sao Paulo• Tokyo • Toronto • Seattle• Washington DC • Washington DC • Toronto
  51. 51. Technical Benefits Average Page Load Times for Hotel Reservation System 20.0 18.0 16.0 14.0 12.0 Seconds 10.0 8.0 6.0APDEX threshold 4.8 seconds 4.0 2.0 - China USA Brazil Thailand Australia France Canada Germany Single-Source 18.6 9.0 8.0 7.7 6.6 4.7 4.7 3.9 Multi-Source 6.8 4.2 4.8 3.5 4.1 3.2 2.8 2.9
  52. 52. NEXT STEPS
  53. 53. Our Mission Automated management of global computing resources and traffic routing based on real-time intelligence and ad hoc logic.
  54. 54. Cedexis Today
  55. 55. Cedexis Tomorrow
  56. 56. What We WantTo make the web faster for every user on the planet.

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