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Global Infrastructure Performance Insights

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Gigaom
Gigaom

The document discusses how Cedexis collects over a billion measurements per day on global infrastructure performance by deploying content and applications across multiple public and private clouds and collecting telemetry from websites and networks around the world. It then uses this data to provide three stories or examples on cloud availability, performance across cloud regions, and the optimal combination of cloud providers to deliver the best performance in the United States.

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THE STATE OF GLOBAL INFRASTRUCTURE PERFORMANCE SPEAKER: Marty Kagan Co-Founder and CEO Cedexis Friday, July 27, 2012
The  State  of  Global  Infrastructure  Performance Marty  Kagan marty@cedexis.com Friday, July 27, 2012
Community  Measurements How  to  collect  a  billion  measurements  a  day Friday, July 27, 2012
1.  Publish  content  and  applica3ons  on  200+          public  and  private  clouds Public  IaaS  &  PaaS Virtualized  Datacenters Global  &  Regional Pla,orms Delivery  Networks Friday, July 27, 2012
2.  Deploy  javascript  tag  on  250+  community-­‐member              websites Friday, July 27, 2012
3.  Collect  end-­‐user  telemetry  from  30k  networks          across  200+  countries Friday, July 27, 2012
4.  Use  the  data  to  tell  stories…   Friday, July 27, 2012
4.  Use  the  data  to  tell  stories…   • How  reliable  is  a  single  Cloud  pla6orm? Friday, July 27, 2012
4.  Use  the  data  to  tell  stories…   • How  reliable  is  a  single  Cloud  pla6orm? • Why  deploy  across  mul:ple  cloud  regions? Friday, July 27, 2012
4.  Use  the  data  to  tell  stories…   • How  reliable  is  a  single  Cloud  pla6orm? • Why  deploy  across  mul:ple  cloud  regions? • What  combina:on  of  providers  will  deliver   the  best  performance? Friday, July 27, 2012
Story  1:  Cloud  Availability How  reliably  reachable  is  Google  App  Engine   from  countries/networks  around  the  world? Friday, July 27, 2012
Google  App  Engine:  20  May  2012 90th  Percen7le  Response  Times Friday, July 27, 2012
Google  App  Engine:  21  May  2012 90th  Percen7le  Response  Times Friday, July 27, 2012
Google  App  Engine:  22  May  2012 90th  Percen7le  Response  Times Friday, July 27, 2012
Conclusion: AVOID  SINGLE-­‐VENDOR  DEPENDENCIES Friday, July 27, 2012
Story  2:  Cloud  Performance Why  should  I  deploy  my  applica:ons  across  mul:ple  Azure  or  EC2   regions? Friday, July 27, 2012
Amazon  EC2  US  East  (Virginia) Median  Response  Times Friday, July 27, 2012
Amazon  EC2  EU  West  (Ireland) Median  Response  Times Friday, July 27, 2012
Amazon  EC2  South  America  (Brazil) Median  Response  Times Friday, July 27, 2012
Amazon  EC2  Asia  Southeast  (Singapore) Median  Response  Times Friday, July 27, 2012
Amazon  EC2  (Performance  Blend) Median  Response  Times Friday, July 27, 2012
Windows  Azure  US  South Median  Response  Times Friday, July 27, 2012
Windows  Azure  EU  North Median  Response  Times Friday, July 27, 2012
Windows  Azure  Asia  East Median  Response  Times Friday, July 27, 2012
Windows  Azure  (Performance  Blend) Median  Response  Times Friday, July 27, 2012
VoxCloud  Dallas Median  Response  Times Friday, July 27, 2012
VoxCloud  Amsterdam Median  Response  Times Friday, July 27, 2012
VoxCloud  Singapore Median  Response  Times Friday, July 27, 2012
VoxCloud  (Performance  Blend) Median  Response  Times Friday, July 27, 2012
Conclusion: REACH  FURTHER  WITH  MULTI-­‐CLOUD  STRATEGIES Friday, July 27, 2012
Story  3:  Blending  clouds What  combina:on  of  providers  will  deliver  the  best  overall   performance  in  the  United  States? Friday, July 27, 2012
1  Clouds !"#$%&'()*' !"#$%&'# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! +,-./0!+12340! Friday, July 27, 2012
2  Clouds !"#$%&'()*' +%,)-%./# !"#$%&'# ()*#+,-.# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
3  Clouds !"#$%&'()*' +%,)-%./# 0#1234#15# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
4  Clouds !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
5  Clouds !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
!"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Conclusion: NOT  ALL  BLENDS  ARE  CREATED  EQUAL Friday, July 27, 2012
So,  what  have  we  learned  today? '%!" '$!" '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
So,  what  have  we  learned  today? • Single-­‐plaRorm  strategies  are  dangerous '%!" '$!" '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
So,  what  have  we  learned  today? • Single-­‐plaRorm  strategies  are  dangerous • Mul7-­‐cloud  strategies  are  key  to  reaching  a  global  audience '%!" '$!" '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
So,  what  have  we  learned  today? • Single-­‐plaRorm  strategies  are  dangerous • Mul7-­‐cloud  strategies  are  key  to  reaching  a  global  audience '%!" '$!" • Fresher  data  =  beUer  decisions '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
What  We  Want To  make  the  web  faster  for   every  user  on  the  planet. Friday, July 27, 2012
Friday, July 27, 2012

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Global Infrastructure Performance Insights

  • 1. THE STATE OF GLOBAL INFRASTRUCTURE PERFORMANCE SPEAKER: Marty Kagan Co-Founder and CEO Cedexis Friday, July 27, 2012
  • 2. The  State  of  Global  Infrastructure  Performance Marty  Kagan marty@cedexis.com Friday, July 27, 2012
  • 3. Community  Measurements How  to  collect  a  billion  measurements  a  day Friday, July 27, 2012
  • 4. 1.  Publish  content  and  applica3ons  on  200+          public  and  private  clouds Public  IaaS  &  PaaS Virtualized  Datacenters Global  &  Regional Pla,orms Delivery  Networks Friday, July 27, 2012
  • 5. 2.  Deploy  javascript  tag  on  250+  community-­‐member              websites Friday, July 27, 2012
  • 6. 3.  Collect  end-­‐user  telemetry  from  30k  networks          across  200+  countries Friday, July 27, 2012
  • 7. 4.  Use  the  data  to  tell  stories…   Friday, July 27, 2012
  • 8. 4.  Use  the  data  to  tell  stories…   • How  reliable  is  a  single  Cloud  pla6orm? Friday, July 27, 2012
  • 9. 4.  Use  the  data  to  tell  stories…   • How  reliable  is  a  single  Cloud  pla6orm? • Why  deploy  across  mul:ple  cloud  regions? Friday, July 27, 2012
  • 10. 4.  Use  the  data  to  tell  stories…   • How  reliable  is  a  single  Cloud  pla6orm? • Why  deploy  across  mul:ple  cloud  regions? • What  combina:on  of  providers  will  deliver   the  best  performance? Friday, July 27, 2012
  • 11. Story  1:  Cloud  Availability How  reliably  reachable  is  Google  App  Engine   from  countries/networks  around  the  world? Friday, July 27, 2012
  • 12. Google  App  Engine:  20  May  2012 90th  Percen7le  Response  Times Friday, July 27, 2012
  • 13. Google  App  Engine:  21  May  2012 90th  Percen7le  Response  Times Friday, July 27, 2012
  • 14. Google  App  Engine:  22  May  2012 90th  Percen7le  Response  Times Friday, July 27, 2012
  • 15. Conclusion: AVOID  SINGLE-­‐VENDOR  DEPENDENCIES Friday, July 27, 2012
  • 16. Story  2:  Cloud  Performance Why  should  I  deploy  my  applica:ons  across  mul:ple  Azure  or  EC2   regions? Friday, July 27, 2012
  • 17. Amazon  EC2  US  East  (Virginia) Median  Response  Times Friday, July 27, 2012
  • 18. Amazon  EC2  EU  West  (Ireland) Median  Response  Times Friday, July 27, 2012
  • 19. Amazon  EC2  South  America  (Brazil) Median  Response  Times Friday, July 27, 2012
  • 20. Amazon  EC2  Asia  Southeast  (Singapore) Median  Response  Times Friday, July 27, 2012
  • 21. Amazon  EC2  (Performance  Blend) Median  Response  Times Friday, July 27, 2012
  • 22. Windows  Azure  US  South Median  Response  Times Friday, July 27, 2012
  • 23. Windows  Azure  EU  North Median  Response  Times Friday, July 27, 2012
  • 24. Windows  Azure  Asia  East Median  Response  Times Friday, July 27, 2012
  • 25. Windows  Azure  (Performance  Blend) Median  Response  Times Friday, July 27, 2012
  • 26. VoxCloud  Dallas Median  Response  Times Friday, July 27, 2012
  • 27. VoxCloud  Amsterdam Median  Response  Times Friday, July 27, 2012
  • 28. VoxCloud  Singapore Median  Response  Times Friday, July 27, 2012
  • 29. VoxCloud  (Performance  Blend) Median  Response  Times Friday, July 27, 2012
  • 30. Conclusion: REACH  FURTHER  WITH  MULTI-­‐CLOUD  STRATEGIES Friday, July 27, 2012
  • 31. Story  3:  Blending  clouds What  combina:on  of  providers  will  deliver  the  best  overall   performance  in  the  United  States? Friday, July 27, 2012
  • 32. 1  Clouds !"#$%&'()*' !"#$%&'# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! +,-./0!+12340! Friday, July 27, 2012
  • 33. 2  Clouds !"#$%&'()*' +%,)-%./# !"#$%&'# ()*#+,-.# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
  • 34. 3  Clouds !"#$%&'()*' +%,)-%./# 0#1234#15# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
  • 35. 4  Clouds !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
  • 36. 5  Clouds !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! Friday, July 27, 2012
  • 37. Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
  • 38. Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
  • 39. Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
  • 40. Historical  Latency-­‐Based  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! Friday, July 27, 2012
  • 41. Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
  • 42. Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
  • 43. Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
  • 44. Real-­‐3me  Data-­‐Driven  Rou3ng !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Friday, July 27, 2012
  • 45. !"#$%&'()*' +%,)-%./# 0#1234#15# !$.65# !$.65# !"#$%&'# ()*#+,-.# /0,12")-3)-&# !"#(,-'4# !"#",1'4# !(&$!! !(%$!! !(#$!! !"#$%&'(")*+&)"',$-"'.-)/' !($$!! !'$!! !&$!! !%$!! !#$!! !"!!!! (! #! )! %! *! !+,-./!+,01.! !2134,51678!974:.6;!<73:/!+,-=.>! !+:78"=?:!@747"@51A:.!+,-=.>! Conclusion: NOT  ALL  BLENDS  ARE  CREATED  EQUAL Friday, July 27, 2012
  • 46. So,  what  have  we  learned  today? '%!" '$!" '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
  • 47. So,  what  have  we  learned  today? • Single-­‐plaRorm  strategies  are  dangerous '%!" '$!" '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
  • 48. So,  what  have  we  learned  today? • Single-­‐plaRorm  strategies  are  dangerous • Mul7-­‐cloud  strategies  are  key  to  reaching  a  global  audience '%!" '$!" '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
  • 49. So,  what  have  we  learned  today? • Single-­‐plaRorm  strategies  are  dangerous • Mul7-­‐cloud  strategies  are  key  to  reaching  a  global  audience '%!" '$!" • Fresher  data  =  beUer  decisions '#!" '!!" &!" %!" $!" #!" !" '" #" (" $" )" Friday, July 27, 2012
  • 50. What  We  Want To  make  the  web  faster  for   every  user  on  the  planet. Friday, July 27, 2012