From Development to Production

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An introduction to development, testing and production patterns on AWS. Slides from the 'Powering games with Amazon Web Services' event in London.

Technologie Business

Idea

Develop

Release

Evaluate

Iterate
OR

Pivot

Many applications,
many environments,
many developers

Usage

Midnight 7am 9am Noon 3pm 5pm Midnight

Time of day

Usage

60%

Midnight 7am 9am Noon 3pm 5pm Midnight

Time of day

State Conﬁg
Code Services

Amazon Machine
Image
ami-219387e

Auto-scaling
RDS
EC2 SNS
SimpleDB
SQS

Resources
Elastic Beanstalk CloudWatch
Security groups Tags

Template CloudFormation

Provisioned
resources

Free
Only pay for the provisioned resources

Trafﬁc

CNAME

Web front end

App servers

Data store

Full stack

Trafﬁc

CloudFormation
CNAME

Web front end

App servers

Data store

Full stack

Trafﬁc

CloudFormation
CNAME

Web front end Web front end

App servers App servers

Data store Data store

Full stack

Trafﬁc

New CNAME

Web front end Web front end

App servers App servers

Data store Data store

Full stack

Trafﬁc

New CNAME

Web front end

App servers

Data store

Full stack

Same building blocks
Speciﬁc conﬁgurations

Development

Integration build

Performance test

Web front end

App servers

Data store

Decouple

Web front end

App servers

Data store

Resource tiers

Web

App servers

Data store

Resource tiers

Web

App

Data store

Single point of failure

CloudFront

Data store
Amazon S3

Static asset delivery

CloudFront

Data store
Amazon S3

Asynchronous processing Spot

Background processing

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From Development to Production

1. From Development to Production

2. Application life cycle

3. Idea Develop Release Evaluate Iterate OR Pivot

4. Idea Develop Release Evaluate Iterate OR Pivot

5. Idea Develop Release Evaluate Iterate OR Pivot

6. Accelerate

7. Friction

8. How can elastic infrastructure help?

9. Idea Develop Release Evaluate Iterate OR Pivot

10. Many applications

11. Many applications, many environments

12. Dev, test, QA, integration, staging

13. Many applications, many environments, many developers

14. Complexity

15. Unlimit development velocity

16. Development and testing are spiky

17. Spin up and down

18. Usage Midnight 7am 9am Noon 3pm 5pm Midnight Time of day

19. Usage 60% Midnight 7am 9am Noon 3pm 5pm Midnight Time of day

20. Environmental consistency

21. Amazon Machine Image

22. State Conﬁg Code Services Amazon Machine Image ami-219387e

23. Collaborate

24. Full stack collaboration

25. Template

26. Deﬁne a full infrastructure stack

27. Auto-scaling RDS EC2 SNS SimpleDB SQS Resources Elastic Beanstalk CloudWatch Security groups Tags

28. Template CloudFormation Provisioned resources

29. Complete deﬁnition

30. Atomic

31. Idempotent

32. Free Only pay for the provisioned resources

33. Trafﬁc CNAME Web front end App servers Data store Full stack

34. Trafﬁc CloudFormation CNAME Web front end App servers Data store Full stack

35. Trafﬁc CloudFormation CNAME Web front end Web front end App servers App servers Data store Data store Full stack

36. Trafﬁc New CNAME Web front end Web front end App servers App servers Data store Data store Full stack

37. Trafﬁc New CNAME Web front end App servers Data store Full stack

38. Environmental freedom

39. Same building blocks Speciﬁc conﬁgurations

40. Development Integration build Performance test

41. Developer freedom

42. Architectural freedom

43. Technology freedom

44. Continuous deployment

45. A/B testing

46. Conﬁguration management

47. Low cost

48. Agility++

49. Meet business opportunities

50. Moving to production

51. Architect for elasticity

52. Web front end App servers Data store

53. Web front end App servers Data store Decouple

54. Web front end App servers Data store Resource tiers

55. Web App servers Data store Resource tiers

56. Web App Data store Resource tiers

57. Web App Data store Single point of failure

58. Data store Redundancy

59. Data store Load balance

60. Data store Graceful failure

61. Data store

62. Data store Add capacity over the day.

63. Data store Reduce capacity at night.

64. Data store Autoscaling

65. Data store Multi-AZ deployment

66. CloudFront Data store Amazon S3 Static asset delivery

67. CloudFront Data store Amazon S3 Asynchronous processing Spot Background processing

68. ElastiCache

69. Elastic Beanstalk

70. Thank you

From Development to Production

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