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© 2016 Computer Sciences Corporation
How do I do DevOps when all I have is Ops?
Chris Swan
@cpswan
CTO Global Infrastructure Services
2 October 14, 2016© 2016 Computer Sciences Corporation
3 October 14, 2016© 2016 Computer Sciences Corporation
Agenda
• Organisational Context
• What do I mean by DevOps?
• All in on Operational Data Mining
• People, Process and Tools
© 2016 Computer Sciences Corporation
The organisational context
5 October 14, 2016© 2016 Computer Sciences Corporation
Let’s get Conway’s law out of the way early
Dev Ops
GBS GIS
6 October 14, 2016© 2016 Computer Sciences Corporation
iDo – how we presently organise delivery
© 2016 Computer Sciences Corporation
What do I mean by DevOps?
8 October 14, 2016© 2016 Computer Sciences Corporation
All industries evolve
Design for Purpose
Design for Operations
Design for Manufacture
9 October 14, 2016© 2016 Computer Sciences Corporation
IT is no different
Design for Purpose
Design for Operations
Design for Manufacture
10 October 14, 2016© 2016 Computer Sciences Corporation
Agility, Agility, Agility
High-performing IT organizations
report experiencing:
200x
2,555x
more frequent
deployments
lower change
failure rate
shorter
lead times
faster recovery
from failures
24x
3x
Concave Convex
Gains tail off at scale Typical
of most traditional systems
Gains grow at scale Typical of
most software based systems
Payoff
Success
Payoff
Success
Source: 2016 State of DevOps Report
Business Agility
Agile Software Platform
Agile Infrastructure
11 October 14, 2016© 2016 Computer Sciences Corporation
The 3 ways
1.Flow
2.Feedback
3.Continual Learning
& Experimentation
12 October 14, 2016© 2016 Computer Sciences Corporation
Flow – people want Continuous Delivery, and we can help with that, but
it’s not something that can be assumed or directly influenced
You
Are
Here
13 October 14, 2016© 2016 Computer Sciences Corporation
Feedback – it’s pretty much the same story as with Flow
14 October 14, 2016© 2016 Computer Sciences Corporation
Operational Data Mining (ODM) provides a means for Continual Learning
and Experimentation
‘Exhausting’ by Ben Salter https://flic.kr/p/8VTaMe
© 2016 Computer Sciences Corporation
All in on ODM
16 October 14, 2016© 2016 Computer Sciences Corporation
Data helps us find the constraints, then tells us what to do with them
‘Narrow’ by gwire https://flic.kr/p/4d3N4
17 October 14, 2016© 2016 Computer Sciences Corporation
Data provides a means of empowerment to front line staff
“I knew that,
I knew that we needed to do that”
© 2016 Computer Sciences Corporation
People, Process and Tools
19 October 14, 2016© 2016 Computer Sciences Corporation
Infrastructure as Code boot camp
20 October 14, 2016© 2016 Computer Sciences Corporation
Infrastructure as Code boot camp - Git
21 October 14, 2016© 2016 Computer Sciences Corporation
We pay particular attention to Fork’n’Pull
Beg forgiveness Ask permission
22 October 14, 2016© 2016 Computer Sciences Corporation
Infrastructure as Code boot camp - Ansible
23 October 14, 2016© 2016 Computer Sciences Corporation
Infrastructure as Code boot camp - Jenkins
24 October 14, 2016© 2016 Computer Sciences Corporation
The perfect runbook…
‘Snug’ by Thomas https://flic.kr/p/qbdT3c
25 October 14, 2016© 2016 Computer Sciences Corporation
Doing root cause analysis properly
Why?
© 2016 Computer Sciences Corporation
Wrapping up
27 October 14, 2016© 2016 Computer Sciences Corporation
Review
• Organisational Context
• What do I mean by DevOps?
• All in on Operational Data Mining
• People, Process and Tools
28 October 14, 2016© 2016 Computer Sciences Corporation
Further reading
29 October 14, 2016© 2016 Computer Sciences Corporation
Final Thought
© 2016 Computer Sciences Corporation
Questions?

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How do I do DevOps when all I have is Ops?

  • 1. © 2016 Computer Sciences Corporation How do I do DevOps when all I have is Ops? Chris Swan @cpswan CTO Global Infrastructure Services
  • 2. 2 October 14, 2016© 2016 Computer Sciences Corporation
  • 3. 3 October 14, 2016© 2016 Computer Sciences Corporation Agenda • Organisational Context • What do I mean by DevOps? • All in on Operational Data Mining • People, Process and Tools
  • 4. © 2016 Computer Sciences Corporation The organisational context
  • 5. 5 October 14, 2016© 2016 Computer Sciences Corporation Let’s get Conway’s law out of the way early Dev Ops GBS GIS
  • 6. 6 October 14, 2016© 2016 Computer Sciences Corporation iDo – how we presently organise delivery
  • 7. © 2016 Computer Sciences Corporation What do I mean by DevOps?
  • 8. 8 October 14, 2016© 2016 Computer Sciences Corporation All industries evolve Design for Purpose Design for Operations Design for Manufacture
  • 9. 9 October 14, 2016© 2016 Computer Sciences Corporation IT is no different Design for Purpose Design for Operations Design for Manufacture
  • 10. 10 October 14, 2016© 2016 Computer Sciences Corporation Agility, Agility, Agility High-performing IT organizations report experiencing: 200x 2,555x more frequent deployments lower change failure rate shorter lead times faster recovery from failures 24x 3x Concave Convex Gains tail off at scale Typical of most traditional systems Gains grow at scale Typical of most software based systems Payoff Success Payoff Success Source: 2016 State of DevOps Report Business Agility Agile Software Platform Agile Infrastructure
  • 11. 11 October 14, 2016© 2016 Computer Sciences Corporation The 3 ways 1.Flow 2.Feedback 3.Continual Learning & Experimentation
  • 12. 12 October 14, 2016© 2016 Computer Sciences Corporation Flow – people want Continuous Delivery, and we can help with that, but it’s not something that can be assumed or directly influenced You Are Here
  • 13. 13 October 14, 2016© 2016 Computer Sciences Corporation Feedback – it’s pretty much the same story as with Flow
  • 14. 14 October 14, 2016© 2016 Computer Sciences Corporation Operational Data Mining (ODM) provides a means for Continual Learning and Experimentation ‘Exhausting’ by Ben Salter https://flic.kr/p/8VTaMe
  • 15. © 2016 Computer Sciences Corporation All in on ODM
  • 16. 16 October 14, 2016© 2016 Computer Sciences Corporation Data helps us find the constraints, then tells us what to do with them ‘Narrow’ by gwire https://flic.kr/p/4d3N4
  • 17. 17 October 14, 2016© 2016 Computer Sciences Corporation Data provides a means of empowerment to front line staff “I knew that, I knew that we needed to do that”
  • 18. © 2016 Computer Sciences Corporation People, Process and Tools
  • 19. 19 October 14, 2016© 2016 Computer Sciences Corporation Infrastructure as Code boot camp
  • 20. 20 October 14, 2016© 2016 Computer Sciences Corporation Infrastructure as Code boot camp - Git
  • 21. 21 October 14, 2016© 2016 Computer Sciences Corporation We pay particular attention to Fork’n’Pull Beg forgiveness Ask permission
  • 22. 22 October 14, 2016© 2016 Computer Sciences Corporation Infrastructure as Code boot camp - Ansible
  • 23. 23 October 14, 2016© 2016 Computer Sciences Corporation Infrastructure as Code boot camp - Jenkins
  • 24. 24 October 14, 2016© 2016 Computer Sciences Corporation The perfect runbook… ‘Snug’ by Thomas https://flic.kr/p/qbdT3c
  • 25. 25 October 14, 2016© 2016 Computer Sciences Corporation Doing root cause analysis properly Why?
  • 26. © 2016 Computer Sciences Corporation Wrapping up
  • 27. 27 October 14, 2016© 2016 Computer Sciences Corporation Review • Organisational Context • What do I mean by DevOps? • All in on Operational Data Mining • People, Process and Tools
  • 28. 28 October 14, 2016© 2016 Computer Sciences Corporation Further reading
  • 29. 29 October 14, 2016© 2016 Computer Sciences Corporation Final Thought
  • 30. © 2016 Computer Sciences Corporation Questions?