Dr. Werner Vogels Keynote

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    Notes on slide 1

    Amazon Web Services is a set of primitive building blocks to enable developers to build applications and, ultimately, businesses, on our battle-tested infrastructure. So what kinds of building blocks do developers need? First, you need compute resources. The Elastic Compute Cloud, or EC2, allows developers to rent virtual computers, running in our data centers, and pay for them by the hour. Provision as many as you need – 1, 10, 1000, for as long as you need them, and you pay only for what you use (starting at 10 cents/hour). Next, you probably need somewhere to durably store and retrieve data. The Simple Storage Service, is, well, a simple storage service that allows to store and retrieve objects in the cloud using simple put and get API calls.You might need to index and query for that data, or create other structured data that you want to query, which is what we built SimpleDB.

    Testing in the CloudInstant Test Labs in MinutesTesting as a ServiceVirtualization/AMIs for Reuse and ReprosWeb Services for AutomationOn-Demand Workforce of Testers (“Elastic QA Staff”)Client and Server Parallelization

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    Dr. Werner Vogels Keynote - Presentation Transcript

    1. Ahead in the Cloud
      The power of Infrastructure as a Service
      Dr. Werner Vogels
      CTO, Amazon.com
    2. AWS - Amazon Web Services
      Custom Applications and Services
      Infrastructure as a Service
      Database
      Amazon SimpleDB
      Content Delivery
      Amazon CloudFront
      Messaging
      Amazon Simple Queue Service (SQS)
      Payments
      Amazon Flexible Payments Service (FPS)
      On-Demand Workforce
      Amazon Mechanical Turk
      Parallel Processing
      Amazon Elastic MapReduce
      Compute
      Amazon Elastic Compute Cloud (EC2)
      Storage
      Amazon Simple Storage Service (S3)
    3. Cloud Computing
      On demand!
      a style of computing where massively scalable IT-related capabilities are provided ‘as a service’ across the Internet to multiple external customers.
      Pay as you Go
      Gartner 2008
    4. Precusors
      Distributed Computing
      SaaS
      Virtualization
      SOA
    5. Forces Driving New Resource Models
      Increasing Uncertainty
      Growing Abundance
      Intensifying Competition
      Growing Power of Customers
      Limited access to capital
      From Push to Pull – Emerging Model for Mobilizing Resources – John Hagel & John Seely Brown - 2005
    6. Addressing Uncertainty
      Acquire resources on demand
      Release resources when no longer needed
      Pay for what you use
      Leverage other’s core competencies
      Turn fixed cost into variable
    11. The 70/30 Switch
      30% of time, energy and dollars
      on differentiated value creation
      70% of time, energy and dollars
      on undifferentiated heavy lifting
    12. COMPUTE
      MESSAGING
      Amazon
      EC2
      Amazon
      SQS
      STORAGE
      Amazon
      EBS
      Amazon
      SimpleDB
      Amazon
      S3
    13. Amazon Infrastructure Services
    15. Amazon Virtual Private Cloud (VPC)
    16. Lowers Cost
      Eliminates Capital Investment
      Reduces Operational Costs
      Increases Agility
      Reduce Time to Market
      Removes contraints
      Foundation for21st Century Architectures
      Removes the “Heavy Lifting”
      Leverages Scalability, Reliability and Security
    17. Billions of Objects in Amazon S3
    18. Enterprise Partners
    19. Cloud Services Ecosystem
    20. Eliminating Capital
    21. Time to Market
    22. Internet Scaling
    23. Scaling Computation
    24. Reliable Infrastructure
    25. Secure Infrastructure
    26. Lower Operational Cost
    27. Enterprise as a Platform
    28. Reserved Instances
      for Amazon EC2
    29. Roadmap?
    30. SecurityScalability AvailabilityPerformanceCost-effectiveness
    31. http://aws.amazon.com
    SlideShare Zeitgeist 2009

    + Amazon Web ServicesAmazon Web Services Nominate

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