In October 2013 I stopped by Lancaster University's Highwire program to give a seminar on the Cloud and industry disruptions. Abstract: Everyone is talking about The Cloud. From disrupting the way we do business to the way we live our lives, it has undoubtedly shifted the way we think about computing, IT operations, innovation, and entrepreneurship. But how should we think about it and why has it brought a paradigm change? What specific technologies can we leverage to improve our lives and how will the next iteration of cloud-based systems look like? In this seminar, I will introduce you to cloud computing’s history and discuss its applications with practical examples from Engine Yard’s customers, peers, and partners. See http://www.highwire.lancs.ac.uk/events/Preview/1058 for more information.

1. How The Cloud
is Changing the
World

2. About Me I work with
Databases!
Ines Sombra
Washington University
in Saint Louis Alumna
MS Computer Science
& MS Information
Management

3. Engine Yard is a
Cloud-Based Platform
as a Service

4. Engine Yard

5. Engine Yard

6. Today’s Agenda
Computing Then Computing Now
Use Cases & Discussion

7. Computing
Then

8. Our Checklist
HARDWARE
LANGUAGES
DEVELOPMENT
LIFE-CYCLE

9. Hardware Architectures
Mainframes
Workstations
Microcomputers
The Internet

10. Mainframe Era 1944-1978

11. Mainframe Era 1944-1978
Government & Military
Banks & Corporations
Single computer
Many thin-clients

12. Workstation Era 1968-1985

13. High end microcomputer
Technical / Scientific use
Interactive use
Single console operator
Workstation Era 1968-1985

14. Microcomputers 1978-1994

15. Small & less inexpensive
IBM & Microsoft partner
Becomes a business tool
Apple borrows from Xerox
Microcomputers 1978-1994

16. The Internet 1994-now

17. US military network (nuke)
Failure-resilient network
ARPANET
Distributed & adaptive
The Internet 1994-now

18. Languages Then

19. Language Generations

20. 1GL Machine Language

21. 2GL Assembly

22. 3GL Refinements

23. 4GL Abstractions & ease

24. Development Life-Cycle
Planning
Implementation
Testing
Documentation
Deployment
Maintenance

25. Meet Waterfall

26. Spiral Model circa 1988

27. Discussion & Analysis

28. Notable Companies

29. What has worked well?
Problems and Challenges?
Biggest innovations?
Where is it going next?

31. Computing
Now

32. Our Checklist
HARDWARE
LANGUAGES
DEVELOPMENT
LIFE-CYCLE

33. A Detour Gordon Moore

34. Hardware Architectures

35. Hardware Architectures

36. Hardware Architectures

37. A Detour to 1994

38. Amazon Success & growth

39. Amazon APIs & Services
Databases, Hardware virtualization,
Distributed Systems, Operating
Systems, Robotics, Logistics

40. The Cloud Shared resources

41. The Cloud Our summary
Virtualized
Elastic
On-demand
Service-oriented

42. Storage As a Service
Cloud-based
Storage
OS Independent
Seamless
integration

43. Marketing As a Service
Email Marketing
Easy composition
Analytics
Mobile

44. Credit Cards As a Service
Manage revenue
Payments
Subscriptions
Analytics

45. Performance As a Service
Monitoring
App Metrics
Languages
Even mobile

46. Alerts As a Service
Scheduling
Escalation
Integrated
Even mobile

47. Platform As a Service
Curated Stack
Languages
Operations
Support

48. New standard As-a-Service
Consuming [x]aaS
Leverage APIs
Network is the computer
Default Distributed Systems

49. Discussion & Analysis

50. Notable Companies

51. What has worked well?
Problems and Challenges?
Biggest innovations?
Where is it going next?

52. Languages Then & Now

53. 4GL Generation

54. 5GL Generation

56. NoSQL Distilled: Fowler & Sadalage
SOA Applications
My awesome e-commerce site
Shopping cart &
session data
Completed
orders
Inventory and
item pricing
Recommendations
engine
Session
Storage service
K/V Store
Order
Persistence
service
Document
Store
Inventory &
Price service
RDBMS
Nodes and
relations service
Graph Store

57. Development Life-Cycle
Planning
Implementation
Testing
Documentation
Deployment
Maintenance

58. Agile Development

59. XP Extreme Programming
Code most important
Testing
Listening
Designing

60. Scrum Framework

61. Notable Changes
Pair Programming
Continuous Integration
Test-Driven Development
User Interface Matters

62. Discussion & Analysis

63. What has worked well?
Problems and Challenges?
Biggest innovations?
Where is it going next?

65. Market
Disruptors

66. Our Checklist
MISSION & HISTORY
TECH STACK
INNOVATIONS &
CHALLENGES

67. Uber.com Transportation
To evolve the way the
world moves & make
cities more accessible

68. Uber.com Tech Stack
JavaScript, Python, Backbone.js
Realtime/dispatch systems built
on Node.js and Redis
Business logic in API built on
Python, MySQL, & MongoDB
Objective-C and Java for iPhone
and Adroid apps

69. Uber.com Discussion
Biggest Challenges?
Biggest Innovations?
Commercial Model?
What Next?

70. Instagram Social
To capture and share
the world’s moments

71. Instagram Tech Stack
AWS/Linux
Amazon Elastic Load Balancer
Django on Amazon, Solr
PostgreSQL, Amazon S3, Redis

72. Instagram Discussion
Biggest Challenges?
Biggest Innovations?
Commercial Model?
What Next?

73. 23 and me Health
To be the world's
trusted source of
personal genetic
information

74. 23 and me Tech Stack
AWS/Linux
Apache / Django
Python, C++
MySQL

75. 23 and me Discussion
Biggest Challenges?
Biggest Innovations?
Commercial Model?
What Next?

76. Prismatic Information
Everything you don’t
want to miss, with a
little of something you’d
never find otherwise

77. Prismatic Tech Stack
AWS/Linux
99.9% of backend pipeline and
API servers are written in Clojure
All heavy lifting happens inside
the JVM
MongoDB, MySQL, DynamoDB,
S3

78. Prismatic Discussion
Biggest Challenges?
Biggest Innovations?
Commercial Model?
What Next?

79. Netflix Movies
Becoming the best
global entertainment
distribution service

80. Netflix Tech Stack
AWS/Linux
Java & more
Cassandra, MySQL, RDS
Heavy OSS Contributions

81. Netflix Discussion
Biggest Challenges?
Biggest Innovations?
Commercial Model?
What Next?

82. Questions
& Resources
kippt.com/Randommood/Lancaster