1. 1 Amazon Web Services: Fueling Innovation and Entrepreneurship SOA Web Services Edge 2006 Jeff Barr Web Services Evangelist Amazon Web Services jbarr@amazon.com

2. 2 Introduction & Background > Software development background > Veteran of several startups > Visual Studio team at Microsoft > Almost 4 Years with Amazon > Amazon Web Services Developer Relations Team

3. 3 What Is Amazon? > Online Retailer US, UK, Germany, Japan, France, Canada, China > Technology Consumer Multi-National Web Sites Vast Data Warehouses World-Class Logistics > Technology Provider Amazon Associates Marketplace Sellers Software Developers

4. 4 The Web Services Concept > The Programmable Web Site: Support for industry standards – HTTP, XML, SOAP, XSLT Remote access to data and functionality Decoupling of data and presentation Creation of a platform to attract software developers Vehicle to unlock developer creativity Means to leverage our technology investment

5. 5 What Is Amazon Web Services? > APIs that give developers programmatic access to Amazon’s data and technology Building-block web services Web-scale infrastructure E-commerce capability Content, data, and information New business models Customer-created content

6. 6 AWS Product Family > Amazon Mechanical Turk Artificial Artificial Intelligence Paid Internet-scale workforce > AHP – Amazon Historical Pricing Data warehouse access for product pricing > SQS – Simple Queue Service IT building block > Alexa Top Sites Top sites by Alexa traffic rank > AWIS – Alexa Web Information Service Data warehouse access for web crawl data > AWSP – Alexa Web Search Platform Roll your own search engine > ECS – E-Commerce Service Direct access to Amazon’s product catalog > Amazon S3 – Simple Storage Service Storage for the Internet

7. 7 AWS Business Models > Free – 1 call per second, send us traffic E-Commerce Service > Monthly Fee Amazon Historical Pricing > Usage / Resource Based Amazon S3, Alexa Services, Simple Queue Service, Amazon Mechanical Turk

8. 8 Amazon E-Commerce Service (ECS) Complete access to the Amazon product catalog Rich data schema Millions of products > Shopping cart & checkout > Wishlists > Revenue Model: Link to Amazon Associates program

9. 9 Successful ECS Applications tvmojo.comassociate-o-matic.com

10. 10 Business Model: Click Sharing InstallonServer Developer’s Associate ID Site Operator’s Associate ID Click! 10% to Developer 90% to Site Operator Associates Commissions

11. 11 Alexa Web Information Service > Alexa Web Information Service > Access to 300 TB of Alexa crawl data > 10 billion web pages > 5 functions: Crawl Search Url Info Category Web Map

12. 12 Alexa Web Search Platform > Build your own search engine! > 3 Steps: Specify pages to access within the 300TB archive. Write parallelizable application to process these pages. Publish results as XML feed or as web service. > Pricing – everything costs $1: 50 GB of data processing 1 CPU Hour 1 GB of data downloaded 4000 web service requests

13. 13 Amazon S3 Simple storage service > Storage for the internet - web service to read and write data > 15 cents per Gigabyte-Month to store data > 20 cents per Gigabyte to access data > Private and public storage > Scalable, reliable, cost-effective, and simple!

14. 14 Amazon S3 Properties > Web-scalable Scale to support unlimited number of applications Use scale to increase reliability > Reliable – 99.99% availability Managed replication Self-repairing Fast “Take it for granted” > Cost-effective Pay for what you use – storage and bandwidth Amazon datacenters with industry-leading operating costs Expect hardware failures > Simple Built for use in any application Focus on innovation, not figuring out storage

15. 15 Amazon S3 Applications S3 Explorer filicio.us Jungle Disk S3 Ajax Wiki Backup Manager

16. 16 Amazon S3 Applications > Smug Mug Smug Mug > Ookles Ookles > Chicago Crime Chicago Crime

17. 17 Amazon Mechanical Turk

18. 18 Man Versus Machine

19. 19 But Not Really

20. 20 Amazon Mechanical Turk Provides Web Services API for computers to integrate human intelligence directly into their processing by making requests of humans

21. 21 Put The Human In The Loop while (read (photo)) { ContainsHuman = CallMechanicalTurk(photo); if (ContainsHuman) { acceptPhoto(photo); } else { rejectPhoto(photo); } }

22. 22 How It Works www.mturk.com Workers Artificial, Artificially Intelligent Software Requester (Developer) Human Intelligence Tasks (HITs) Completed HITs Worker Qualifications

23. 23 What This Means For Software Developers > Solves problem of building applications that until now have not worked well without human intelligence For Businesses > Efficiently, effectively and inexpensively complete millions of tasks that require human intelligence > Previously unimaginable business ideas are now feasible For Anyone > Make money using the skills you already have whenever your schedule allows

24. 24 Sample Mechanical Turk Business – Casting Words Casting WordsCasting Words

25. 25 > Podcast transcription service provider > Transcribes audio into high-quality text > Amazon Mechanical Turk Workers transcribe podcasts and index text within search engine > Amazon S3 Storing the podcasts and related files

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33. 33 Summary Of Our Offering > 8 powerful and unique web services > Commercial-use licenses > Reasonable licensing terms > 160,000-member developer community > Bright future

34. 34 Questions?

35. 35 Thanks! > Contact Info: Jeff Barr Web Services Evangelist jbarr@amazon.com http://aws.typepad.com