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NYTimes.com

Vadim Jelezniakov
AWS Summit 2011




                    1
Next 10 min


 The Company
  Why Cloud
The App Examples
 Progress So Far
  What’s Next




                   2
The New York Times Company

     The New York Times
The International Herald Tribune
      The Boston Globe
      15 daily newspapers
         50 Web sites
        NYTimes.com
          Boston.com
          About.com

                              3
NYTimes.com’s Stats
In the US:
38.1 mil unique users / month
810 mil page views / month

Worldwide:
62 mil unique users / month
984 mil page views / month

#1 individual newspaper site
#2 media site bloggers link to the most*
#4 news and information Web site
             comScore Report, April 2011
                 *Technorati's index


                         4
Why Cloud?                Why AWS?



On Demand Availability       Cost-Effective

      Scalability            IaaS = Flexible

  Rapid Deployment           Comprehensive




                         5
Why Cloud?                Why AWS?



On Demand Availability       Cost-Effective

      Scalability            IaaS = Flexible

  Rapid Deployment           Comprehensive




                         6
Why Cloud?                Why AWS?



On Demand Availability       Cost-Effective

      Scalability            IaaS = Flexible

  Rapid Deployment           Comprehensive




                         7
Examples


  On Demand Capacity -
     TimesMachine

Flexibility - Times Skimmer

Scalability - User Generated
   Content (Comments)




                               8
TimesMachine (2007, 2008)




 130 years of archives in 36 hours
 400K objects, 4T of data
 S3, EC2, Hadoop
 http://timesmachine.nytimes.com
                 9
Skimmer Private Beta (Feb 14th, 2009)




      http://www.nytimes.com/skimmer/
                                        10
“SkimmerGate”
11:00 News leaks to
TechCrunch, Google Finance
11:10 Average load on the
instance is 40
11:15 Snapshotting the
instance, configuring the LB,
testing
12:00 Four Skimmer
instances load balanced,
quality is restored
1 hour - from prototype to
production


                               11
Comments on Articles and Blogs




              12
Rate and Review for Movies,
 Theater, Dining and Travel




            13
We like
  To be able to scale
  quickly on demand


  We don’t like
calls from Systems team
    at 6PM on Fridays




                          14
Traffic Spikes - Add Capacity




                               15
Traffic Spikes - Add Capacity




                               15
Load Balancing / Security View




                                 16
Everyone’s Favorites:
Development Instances!




                         17
Gap Analysis


• Load Balancing
• Communication between instances
• Talking back to existing Datacenter
• Scaling up and back
• Securing the instances

                     18
19
20
21
22
23
24
25
Tools Developed for the Cloud
    Nimbul
    Light Cloud Manager
    http://github.com/nimbul/nimbul
    Emissary
    Fast AMQP Messaging
    http://github.com/nimbul/emissary
    CloudSource
    Simple SVN Deployment
    http://github.com/nimbul/cloudsource
    based on ServerMattic developed by WordPress


                26
Progress So Far




                  27
NYTimes.com EC2 Expansion




Clusters: from 2 to 100. Instances: from 30 to 400.
                       28
NYTimes.com EC2 Expansion
        2009                  2011




 EC2 DC in comparison with other DCs
            from 4% to 36%
(VMs/pure physical servers/instance count)

                    29
NYTimes.com AWS Expansion




AWS contributes ~27% of total operational cost across DCs
 (including space, power, bandwidth and excluding CDN)

                           30
What’s Next




Multi-AZ and Multi-Region

SNS, SNS2SQS - in Dev

Multi-AZ MySQL RDS

Need 'smarter' ELB

Need multi-AZ support in VPC
            31
email: vadimj@nytimes.com
twitter: @vadimj
http://www.nytimes.com
http://www.nytimes.com/skimmer/
http://timesmachine.nytimes.com
http://open.nytimes.com
http://github.com/nimbul/




                              images licensed from
                          http://www.dreamstime.com/
                       charts generated using google docs


                                      32

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  12. comments on articles and blogs - we get about 130K comments per month and 1.5 million reader recommendations.\n
  13. rate and review for movies, theater, dining and travel destinations\n
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  15. The key here we thought was not only scaling up for spikes but perhaps scaling down at night when not as many of you were commenting. \n
  16. The key here we thought was not only scaling up for spikes but perhaps scaling down at night when not as many of you were commenting. \n
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  18. We had lots of questions that were fun to answer. How would the front ends know which api instance to request? Or where exactly is that database the api instance is supposed to query? Better yet, how are we going to manage all of these instances? How exactly will it scale? How will we request internal api’s that live back in our data center?\n\n
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