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Amazon Web Services Simone Brunozzi Amazon Web Services Technology Evangelist Cork, IE April 20th, 2009
A presentation isn't an obligation. Seth Godin It's a privilege.
We are a diverse audience
Goals 1. Intro to Cloud Computing 2. Amazon Web Services 3. Use cases 4. Conclusions
Twitter: @Simon
1. Intro to Cloud Computing
IT is a friction Contract negotiations Bandwidth management Power/cooling management Purchasing decisions Etherogeneous hardware Physical growth, relocation Disasters Human effort The two prediction problems
The two prediction problems
Amazon.com Three main businesses: - retail Largest e-commerce player - merchants - developers (AWS)
Why Amazon Web Services? Low margin, high volume Operational excellence Tech expertise
2. Amazon Web Services
Amazon Web Services S3 - Simple Storage Service CloudFfront EC2 - Elastic Compute Cloud SQS - Simple Queue Service Premium Support SimpleDB Elastic MapReduce Mechanical Turk
AWS principles Easy to use Security (working on SOX,  SAS 70 type II) Flexible Pay per use (no investment) No commitment API platform neutral
AWS Amazon's Global Websites How are we doing? AWS developers > 540,000 S3 Objects > 52 Billion (was 800 million in 2006)
Amazon S3 Multiple tier 1 bandwidth providers Simple Durable Cost effective No capacity planning is needed http://aws.amazon.com/s3/ Highly durable internet storage
Content Delivery Service Easy setup, no commitment Elastic and reliable Cost effective 8 locations in the US 4 locations in Europe 2 locations in Asia Amazon Cloudfront Reliable Content Delivery
EC2 = Elastic Compute Cloud Pay by the hour from S(small), 0.10 $/h, to XL 0.80 $/h Linux, Windows, OpenSolaris Management Console / API Public AMIs, or bundle your own Amazon EC2 Virtual servers on demand
EBS = Elastic Block Store (1 to 1,000 GB) EBS is redundant and persistent US/EU regions Multiple availability zones Elastic IP SLA 99.95 % Amazon EC2 (continued) Virtual servers on demand
Reserved instances, 1 year (3 years) Small : 325 $ (500 $) + 0.03 $/h Instance - normal / r.i. 1 year / r.i. 3 years Small - 876 / 587.8 / 429.47 (costs for 1 year) EC2 reserved instances EC2 for steady state usage
Hadoop: Java Framework Data Intensive distributed applications Amazon EC2 + Amazon S3 Use cases: Web Indexing Data Mining Machine Learning Financial Analysis Scientific Simulation Amazon Elastic MapReduce Hosted Hadoop Framework
Microsoft IBM Oracle Sun Microsystems Red Hat Capgemini Facebook Salesforce Other forms Partners The Amazon Web Services Ecosystem
3. Use cases
Once were startups: Smugmug Don MacAskill, founder, CTO: "We looked at Amazon S3’s pricing, design and ease-of-use and were blown away"
Web: Indy 500 Indianapolis 500 Allstate 400 Red Bull Indianapolis MotoGP 3.1 million online visitors Adrian Payne: "We selected AWS to quickly scale and have full control over computing resources"
Enterprise: Eli Lilly Pharmaceutical company 34.5 Billion $ market cap 18.63 Billion $ revenue Amazon EC2 for research Dave Powers: "The speed of implementation, flexibility, and collaborative capabilities are absolutely disruptive"
Startup: Animoto Web application Photo + Music = Video Cool effects & Transitions April 2008: Facebook App...
> 3500 < 80 www.animoto.com - April 2008
Academic: Harvard Harvard Medical School Dr. Peter Tonellato &quot;The combination of AWS and Oracle allowed us to focus our time and energy on simulation development, rather than technology, to get results quickly&quot;
4. Conclusions
The future EC2: load balancing EC2: auto scaling AWS: monitoring AWS certification (developers) Expansion in Asia More features US - EU Suggestions?
Thank you Simone Brunozzi AWS Technology Evangelist [email_address] Twitter: @simon http://aws.amazon.com

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Amazon Web Services

  • 1. Amazon Web Services Simone Brunozzi Amazon Web Services Technology Evangelist Cork, IE April 20th, 2009
  • 2. A presentation isn't an obligation. Seth Godin It's a privilege.
  • 3. We are a diverse audience
  • 4. Goals 1. Intro to Cloud Computing 2. Amazon Web Services 3. Use cases 4. Conclusions
  • 6. 1. Intro to Cloud Computing
  • 7. IT is a friction Contract negotiations Bandwidth management Power/cooling management Purchasing decisions Etherogeneous hardware Physical growth, relocation Disasters Human effort The two prediction problems
  • 9. Amazon.com Three main businesses: - retail Largest e-commerce player - merchants - developers (AWS)
  • 10. Why Amazon Web Services? Low margin, high volume Operational excellence Tech expertise
  • 11. 2. Amazon Web Services
  • 12. Amazon Web Services S3 - Simple Storage Service CloudFfront EC2 - Elastic Compute Cloud SQS - Simple Queue Service Premium Support SimpleDB Elastic MapReduce Mechanical Turk
  • 13. AWS principles Easy to use Security (working on SOX, SAS 70 type II) Flexible Pay per use (no investment) No commitment API platform neutral
  • 14. AWS Amazon's Global Websites How are we doing? AWS developers > 540,000 S3 Objects > 52 Billion (was 800 million in 2006)
  • 15. Amazon S3 Multiple tier 1 bandwidth providers Simple Durable Cost effective No capacity planning is needed http://aws.amazon.com/s3/ Highly durable internet storage
  • 16. Content Delivery Service Easy setup, no commitment Elastic and reliable Cost effective 8 locations in the US 4 locations in Europe 2 locations in Asia Amazon Cloudfront Reliable Content Delivery
  • 17. EC2 = Elastic Compute Cloud Pay by the hour from S(small), 0.10 $/h, to XL 0.80 $/h Linux, Windows, OpenSolaris Management Console / API Public AMIs, or bundle your own Amazon EC2 Virtual servers on demand
  • 18. EBS = Elastic Block Store (1 to 1,000 GB) EBS is redundant and persistent US/EU regions Multiple availability zones Elastic IP SLA 99.95 % Amazon EC2 (continued) Virtual servers on demand
  • 19. Reserved instances, 1 year (3 years) Small : 325 $ (500 $) + 0.03 $/h Instance - normal / r.i. 1 year / r.i. 3 years Small - 876 / 587.8 / 429.47 (costs for 1 year) EC2 reserved instances EC2 for steady state usage
  • 20. Hadoop: Java Framework Data Intensive distributed applications Amazon EC2 + Amazon S3 Use cases: Web Indexing Data Mining Machine Learning Financial Analysis Scientific Simulation Amazon Elastic MapReduce Hosted Hadoop Framework
  • 21. Microsoft IBM Oracle Sun Microsystems Red Hat Capgemini Facebook Salesforce Other forms Partners The Amazon Web Services Ecosystem
  • 23. Once were startups: Smugmug Don MacAskill, founder, CTO: &quot;We looked at Amazon S3’s pricing, design and ease-of-use and were blown away&quot;
  • 24. Web: Indy 500 Indianapolis 500 Allstate 400 Red Bull Indianapolis MotoGP 3.1 million online visitors Adrian Payne: &quot;We selected AWS to quickly scale and have full control over computing resources&quot;
  • 25. Enterprise: Eli Lilly Pharmaceutical company 34.5 Billion $ market cap 18.63 Billion $ revenue Amazon EC2 for research Dave Powers: &quot;The speed of implementation, flexibility, and collaborative capabilities are absolutely disruptive&quot;
  • 26. Startup: Animoto Web application Photo + Music = Video Cool effects & Transitions April 2008: Facebook App...
  • 27. > 3500 < 80 www.animoto.com - April 2008
  • 28. Academic: Harvard Harvard Medical School Dr. Peter Tonellato &quot;The combination of AWS and Oracle allowed us to focus our time and energy on simulation development, rather than technology, to get results quickly&quot;
  • 30. The future EC2: load balancing EC2: auto scaling AWS: monitoring AWS certification (developers) Expansion in Asia More features US - EU Suggestions?
  • 31. Thank you Simone Brunozzi AWS Technology Evangelist [email_address] Twitter: @simon http://aws.amazon.com