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Scale Fast with Amazon Web Services: Strategies for Developers and Innovators

benjamin-buck avatar
benjamin-buck
39 diapositives · 525 Views · Nov 29, 2014

Discover how Amazon Web Services (AWS) empowers developers with scalable infrastructure and innovative services. Learn about essential tools like Amazon Simple Storage Service (S3), Elastic Compute Cloud (EC2), and Simple Queue Service (SQS) that allow you to scale applications and store vast data reliably. This insightful overview highlights the advantages of using infrastructure as a service for rapid deployment, flexibility, and cost management, enabling startups and large enterprises to innovate and thrive in today’s fast-paced tech landscape.

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  1. Webscale Computing Mike Culver Amazon Web Services

  2. Ideas Meet Pagers

  3. Scale as Fast as You Can

  4. How Do You Survive This?

  5. Don’t Do the Muck

  6. Amazon Web Services Are... Building block services that allow developers to innovate and make money • Infrastructure As a Service • Amazon Simple Storage Service • Amazon Elastic Compute Cloud • Amazon Simple Queue Service • Amazon SimpleDB • Commerce As a Service • Amazon Flexible Payments Service • Fulfillment Web Service • People As a Service • Amazon Mechanical Turk • AlexaWeb Services • Alexa Web Information Service • Alexa Top Sites • Alexa Site Thumbnail • Alexa Web Search Platform

  7. Amazon Simple Storage Service (Amazon S3) Highly scalable data storage in-the-cloud Programmatic access via web services API Simple to get going, simple to use Highly available and durable Pay-as-you-go: Storage: $0.15 / GB / month Data Transfer: starts at $0.18 / GB Requests: nominal charges

  8. Billions of Objects Stored 14 Billion 10 Billion 5 Billion 800 Million August 06 April 07 October 07 January 08

  9. Amazon S3 Namespace Amazon S3 bucket bucket object object object object bucket object object

  10. Amazon S3 Namespace Amazon S3 mculver-images media.mydomain.com Beach.jpg 2005/party/hat.jpg img1.jpg img2.jpg public.blueorigin.com index.html img/pic1.jpg

  11. Internet Backup on a StickOr Stick Backed Up on the Net?

  12. Open Source Backup

  13. Store Gazillions of Terabytes

  14. Amazon Elastic Compute Cloud(Amazon EC2) • Resizable compute capacity in the cloud • Obtain and boot new server instances in minutes • Quickly scale capacity, up or down, as your computing requirements change • Full root access to a blank Linux machine • Simple Web service management interface • Changes the economics of computing

  15. Predictions Cost Money Infrastructure Cost $ You just lost customers Large Capital Expenditure Predicted Demand Opportunity Cost Traditional Hardware Actual Demand Automated Virtualization time

  16. Three Flavors of Amazon Machine Images • Public AMIs: Use pre-configured, template AMIs to get up and running immediately. Choose from Fedora, Movable Type, Ubuntu configurations, and more • Private AMIs: Create an Amazon Machine Image (AMI) containing your applications, libraries, data and associated configuration settings • Paid AMIs: Set a price for your AMI and let others purchase and use it (Single payment and/or per hour)

  17. Three Amazon EC2 Choices

  18. $5 or $30,000 For a Prototype? $30,000 worth of in-house servers DISA paid a total of $5

  19. Build Your Own Virtual ISP

  20. Operating Systems as a Service

  21. Hadoop and Amazon EC2

  22. Scale From an Idea to 30 Million Users

  23. Amazon Simple Queue Service(Amazon SQS) A distributed queue in the cloud Used for storing messages traveling between computers Reliable Runs within Amazon's high-availability data centers Messages are stored redundantly across multiple servers and locations Scalable to millions of messages a day Simple: Only 6 methods Platform agnostic Provides access control and message locking

  24. You Can’t Count On the Other End Being Up and Running

  25. Amazon SimpleDBLimited Beta

  26. Databases Should Just WorkBut They’d Better Scale… • Easy: no administration • Web Service API • Flexible (no schemas) • Scalable: create new domains as • Your data grows • Request throughput increases • Durable • Multiple nodes • Replicated data centers

  27. …On a Low-Scale Budget • $0.14 per Machine Hour consumed(normalized to a circa 2007 1.7 GHz Xeon processor) • Data transfer • $0.10 per GB - all data transfer in • Data Transfer Out (per GB) • $0.18 <= 10 TB / month • $0.16 - next 40 TB / month • $0.13 > 50 TB TB / month • Storage - $1.50 per GB-month

  28. Amazon SimpleDB PUT (item, 123), (description, Sweater), (color, Blue), (color, Red) PUT (item, 456), (description, Dress shirt), (color, White), (color, Blue) PUT (item, 789), (description, Shoes), (color, Black), (material, Leather) Query Domain = MyStore [‘description’ = ‘Sweater’]

  29. Learn More About AWS • Explore http://aws.amazon.com • Read our blog at http://aws.typepad.com • Email me at mculver@amazon.com