1. Building Web Applications
with AWS
Dr. Matt Wood

2. 6 years young
S3 was launched on 14th March, 2006

3. Empower start-ups
On-demand, no upfront investment, low cost

4. Cost efficiencies are the sizzle.
Agility is the steak.

5. Empower SMBs and Enterprises
On-demand, no upfront investment, low cost

6. 100,000s of customers
Across 190+ countries

7. Full spectrum of customers
From Airbnb to Shell. From Playfish to NASA.

8. Full spectrum of applications
Web apps and beyond…

9. Full spectrum of applications
Web apps and beyond…

10. Spectrum of websites
Static. Dynamic.
Simple. Complex.
Niche. Mass market.

11. Web applications
Popular use case for AWS

12. Availability is important
Redundant HA systems are costly and complex.

13. Capacity is important
“Success failure” as customers flock to a site.
Huge cap-ex required. High risk.

14. Latency is important
Restricted download speeds, high latency when
deployed from a single geographic location.

15. Utility computing to the rescue
Elastic infrastructure allows high availability by default.
Scale is there when you need it, without large upfront costs.

16. Infrastructure
Cost $
Unable to
Large serve
Capital constituents
Expenditure
Predicted
Demand
Traditional
Hardware
Actual
Demand
Automated
Virtualization
time

17. Reach and support a global audience
CloudFront content delivery network.
Latency aware routing for Route 53.

18. Elastic infrastructure
Decoupled. Stateless. Horizontal scale.

19. Load balancer
Application servers
Data store

20. Load balancer
Application servers
Data store

21. Load balancer
Application servers
Data store

22. Load balancer
Application servers
Data store

23. Design for availability
“Everything fails, all the time”
Design for failure. Compute as an interchangeable resource.

24. Load balancer
Application servers
Data store

25. Load balancer
Application servers 
Data store

26. Load balancer
Application servers
Data store

27. Load balancer
Application servers
Data store

28. Load balancer
Application servers
Data store

29. Load balancer
Application servers
Data store

30. Design for automation
Auto-scaling for scale and availability.

31. Load balancer
Application servers
Data store

32. Load balancer
Application servers
Data store

33. Load balancer
Application servers
Data store

34. Design for automation
Automated provisioning and management.

35. Design for scale
Follow architecture best practices for
availability and automation

36. Design for scale
Employ scalable services

37. Load balancer
Application servers
Data store

38. Load balancer
Application servers
Data store

39. Load balancer
Application servers
Data store

40. Load balancer
Application servers
Data store

41. Load balancer
Application servers
Data store

42. Beyond availability and scale…

43. Sophisticated web applications
Powered by productive tools and services

44. Managed. Zero admin.
Up and running for production in minutes.

45. Amazon DynamoDB
Managed NoSQL database service
Consistent, single digit millisecond latencies
Flexible data model

46. Web apps at all scales
Casual games, social networks, user generated content

47. Amazon Simple Workflow
Orchestration for distributed workflows
Business process. Image/transcoding processing. Deployment.

48. Integrated web applications
Public and private subnets across a Virtual Private Cloud.

49. Full spectrum of applications
Web apps and beyond…

50. 1. Mobile applications
Flipboard, Live TalkBack

51. 2. Analytics applications
Recommendations to click stream analysis

52. Daily batch processing requirement: 3.5 billion records
Click stream data
(TB’s / day)
71 million unique cookies
1.7 million targeted ads per day
Optimize next Daily online ad Several TBs of Clickstream logs a day
day’s ad spend spend analysis
Compile Results

53. Home theater Clickstream
system purchase analysis from Targeted
Analyze Targeted advert displayed
and is searching similar purchase
for video games behavior (1.7 Million per day)
Traditional infrastructure AWS Cloud
SAN storage Cloud Services
30 servers for compute Hadoop and Cascading
3 high-end SQL servers “Ad Serving” Integration
Upfront CapEx: ~$500K Upfront CapEx: $0
Recurring OpEx: significant Recurring OpEx: $13K/mo.
Procurement time: 2 mos. Procurement time: 0
Processing time: 2 days /Job Processing time: 8 hours / Job

54. 500%
Return on advertising spend.

55. 3. Backup and Disaster Recovery
Durable storage. Physical separation.
Elastic infrastructure for rapid recovery.

56. High Backup Disaster
Availability Storage Recovery

57. Enterprise Fast, secure, cost effective backup
application backup and DR for Oracle apps
and DR
DR for regulated Reducing cost of vaulting and DR
industries implementations by up to 50%
Oracle E-business IT and Operations are more
Suite DR of dev/test responsive to the business
Hot site DR for Avoiding $1M of infrastructure and
enterprise clients admin costs

58. 3. Backup and Disaster Recovery
Backup to AWS S3. Recover on-premise.
Recover to EC2.

60. 4. Corporate Applications
Amazon’s mission critical corporate applications

61. Planned migration

62. Microsoft SharePoint 2010 &
SQL Server 2008
Running within the Virtual Private Cloud.

63. Microsoft License Mobility
With Software Assurance

64. Worked with AWS just as with any vendor
Premium support. Solutions Architecture support.

65. Infrastructure costs down 22%
Procurement time down from over 4 weeks to minutes.

66. 5. Applications on Mars
NASA and the Mars Rover

69. Left image Right image
Warp Warp
Stereo match
3D mapping
Tile

72. Full spectrum of applications
Web apps and beyond…

73. Web applications
Availability. Automation. Latency. Scale.

74. And beyond…
Mobile. Analytics. DR and backup. Corporate apps.
Interplanetary.

75. Thank you!

76. Q&A
matthew@amazon.com