The document discusses the value of DevOps in enhancing time to market, business agility, and productivity through effective architecture and continuous delivery. It emphasizes the importance of independent delivery of ideas and improvements in efficiency, citing statistics on performance gains by organizations that adopt DevOps practices. The document underscores that successful DevOps implementation can lead to significant reductions in costs and failures compared to traditional methodologies.

1. DevOps
Making the
Business Case
Copyright © 2015 Accenture All Rights Reserved.

2. Martin Croker
Managing Director, Accenture Technology Architecture
Responsible for DevOps capability at Accenture.
@martincroker
martin.croker@accenture.com

3. 3

4. DevOps has value
How do we articulate
it?

5. 5
DevOps-centric
Architecture
Continuous Delivery
Software Defined
Platform
Culture

6. 6
Time to Market
Business Agility
Productivity
Running Costs
Total Benefit

7. Time
Money Money now is worth
more than the same amount of
money later…
Benefit

8. 8
Idea Value

9. 9
Release
Ideas Values

10. Time
Release

11. Investment
Time
Benefit
Investment
Benefit

12. 12
Sprints

13. Time
Investment
Return
Single Release
Return
4 Sprints
Benefit

14. Benefit
Investment
Single
Release
4 Sprints
Time

15. Assumptions
Splitting into sprints doesn’t lower
productivity
The ideas (scope) could be delivered
independently & has value when
delivered independently
IT has the maturity and engineering
practices to delivery in sprints
Powered by
DevOps
Powered by
DevOps

16. 16
Laggards
Market Share %
100
75
50
25
Innovators Majority
Time

17. 17
Laggards
Market Share %
100
75
50
25
Innovators Majority
Delay
Time

18. 18
Laggards
Market Share %
100
75
50
25
Innovators Majority
Loss of market
Share?
Time

19. 19
Time to Market
Business Agility
Productivity
Running Costs
Total Benefit

20. 20
Requirements
Design &
Build
QA &
Test
Operate

21. 21
Design &
Build
QA &
Test
Operate Best Guess

22. 22
Design &
Build
QA &
Test
Operate Best Guess
Feedback
Experiments

23. 23
Design &
Build
QA &
Test
Operate Best Guess
1 YEAR6 MONTHS1 MONTH2 WEEKS1 WEEKS1 DAY1 HOURMINUTES

24. 24
“Anyone who has
never made a
mistake has never
tried anything new.”
Albert Einstein

25. 25
Time to Market
Business Agility
Productivity
Running Costs
Total Benefit

26. Assumptions
Splitting into sprints doesn’t lower
productivity
The ideas (scope) could be delivered
independently & has value when
delivered independently
Regular change could be absorbed by
the business

27. Requirements
27
Design &
Build
QA &
Test
Operate
Continuous
Improvement

28. 28
Copyright © 2015 Accenture All Rights Reserved.
Deployment
Automation
Effort
Productivity
Risk

29. 29
Design
Build
Deploy
Test
Regression
Test Automation

30. 30
Design
Build
Deploy
Test
Regression
Rapid Feedback
Cheaper
Resolution

31. 31
Design
Build
Deploy
Test
Regression
Rapid Feedback
More Ownership
Fewer Defects

32. 32
“Quality comes not
from inspection, but
from improvement of
the production
process..“
- Dr W. Edward Deming

33. 33
Design
Build
Deploy
Test
Regression
Greater Flexibility

34. 34
Team Members
Productivity

35. Productivity (SLOC / Day)
ProjectSize

36. 36
Manual
Activities?
Design
Build
Deploy
Test
Regression

37. 37
Time to Market
Business Agility
Productivity
Running Costs
Total Benefit

38. 38
“80% of unplanned
outages are due to ill-
planned changes …”
-- Visible Ops Handbook

39. 39
2008
N = Number of Deploys 1
P = Probability of site degradation 50%
S = Average severity of degradation 0.7
T = Time to detect / resolve (hours) 100
Expected downtime 35
N * P * S * T
2013
250 
10% 
0.05 
5 
6.25
Source: http://www.slideshare.net/beamrider9/continuous-
deployment-at-etsy-a-tale-of-two-approaches

40. 40
Before DevOps
Min time to market 20 weeks 4 days
Test coverage 30% 80%
Test cycle duration 4 weeks 6 hours
Outages 30 (2013) None (2014)
DR Test Duration 4 hours 12 minutes
Source: https://www.youtube.com/watch?v=9jqY_bvI5vk

41. 41
N = No. Deploys
P = Probability of site degradation
C = Average cost of degradation
T = Time to detect / resolve
Annual cost of downtime
N * P * C * T
Cost of bad-change

42. Other potential
run-time benefits
Anti-fragility
Infrastructure costs
Operations automation

43. 43
Time to Market
Business Agility
Productivity
Running Costs
Total Benefit

44. 44
“high-performing organizations are still
deploying code 30 times more
frequently, with 50 percent fewer
failures than their lower-performing
counterparts.”
https://puppetlabs.com/2014-devops-report

45. 45
DevOps-centric
Architecture
Continuous Delivery
Software Defined
Platform
Culture

46. 46
@martincroker