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CPN203 Saving with EC2 Spot Instances - AWS re: Invent 2012

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© 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in...

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CPN203 Saving with EC2 Spot Instances - AWS re: Invent 2012

In this session, we provide an quick overview of how some customers leverage Spot Instances. Join us as we hear from Spot Instance customers, including Ooyala, Numerate, and MapLarge, about how they got started, how they architect for the potential of interruption, how they maximize their savings using Spot, and what best practices they have learned. These customers also provide a high-level architectural overview their Spot solutions including media encoding (Ooyala), drug research (Numerate), and analytics (MapLarge). This session is aimed at customers interested in learning how to maximize their savings using Spot Instances. Come with your questions and get ready to be amazed at how easy it is to save on your Amazon EC2 bill.

In this session, we provide an quick overview of how some customers leverage Spot Instances. Join us as we hear from Spot Instance customers, including Ooyala, Numerate, and MapLarge, about how they got started, how they architect for the potential of interruption, how they maximize their savings using Spot, and what best practices they have learned. These customers also provide a high-level architectural overview their Spot solutions including media encoding (Ooyala), drug research (Numerate), and analytics (MapLarge). This session is aimed at customers interested in learning how to maximize their savings using Spot Instances. Come with your questions and get ready to be amazed at how easy it is to save on your Amazon EC2 bill.

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CPN203 Saving with EC2 Spot Instances - AWS re: Invent 2012

  1. 1. © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  2. 2. © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  3. 3. © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  4. 4. Example: simulation back-testing Delay = loss of productivity, project slips Deployment 1 minute? deadline Possible strategy: 1 hour? Value Use spot of result instances for opportunistic 1 day? acceleration Spot and cost savings 1 week? “You are so fired” Base load RI or OD Time to compute result © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  5. 5. Example: weekend risk analytics Delay = minimal impact until opening bell 1 minute? 1 hour? Market opening 1 day? Value of result All weekend? Possible strategy: Use spot instances for base load, fail back to RI or OD if SLA is at risk “You are so fired” Spot RI/OD Time to compute result © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  6. 6. On-Demand Pricing Spot Pricing © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  7. 7. 57% 63% 50% CycleCloud runs50%HPC a Cluster with 30000 cores at Lucky Oyster crawled 3.4B $1279/Hour (57% savings)! web pages, building a 400M 66% entry index in around 14 50% Some say$10030th fastest hours for the (>85% super computer with 1 GiB savings)! 50% interconnect © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  8. 8. Use Case Types of Applications Batch Processing Generic background processing (scale out computing) Hadoop Hadoop/MapReduce processing type jobs (e.g., Search, Big Data, etc.) Scientific Computing Scientific trials/simulations/analysis in chemistry, physics, and biology Video and Image Transform videos into specific formats Processing/Rendering Testing Provide testing of software, websites, etc. Web/Data Crawling Analyzing data and processing it Financial Hedgefund analytics, energy trading, etc HPC Use HPC servers to do embarrassingly parallel jobs Cheap Compute Backend servers for Facebook games © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  9. 9. Nimrod Hoofien Lynwood Bishop Nigel Duffy SVP of Engineering - Ooyala President - MapLarge CTO - Numerate © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  10. 10. © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.
  11. 11. We are sincerely eager to hear your feedback on this presentation and on re:Invent. Please fill out an evaluation form when you have a chance. © 2012 Amazon.com, Inc. and its affiliates. All rights reserved. May not be copied, modified or distributed in whole or in part without the express consent of Amazon.com, Inc.

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