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.

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. © 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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5. 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.

6. 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.

7. On-Demand Pricing Spot Pricing
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8. 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.

9. 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.

10. Nimrod Hoofien Lynwood Bishop Nigel Duffy
SVP of Engineering - Ooyala President - MapLarge CTO - Numerate
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12. 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.