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Breaking Bad Equilibrium - Devops Connect 2017 RSAC

  1. “Breaking Bad” Equilibrium John Willis Twitter: botchagalupe GitHub: botchagalupe
  2. • One of the founding members of “Devopsdays” • Co-author of the “Devops Handbook”. • Author of the “Introduction to Devops” on Linux Foundation edX. • Podcaster at devopscafe.org • Devops Enterprise Summit - Cofounder • Nine person in at Chef (VP of Customer Enablement) • Formally Director of Devops at Dell • Found of Socketplane (Acquired by Docker) • 10 Startups over 25 years About Me https://github.com/botchagalupe/my-presentations
  3. • Economics • Wealth • Markets • Thermodynamics Equilibrium
  4. • Techical Debt • Cooperation • Risk • Work Life Balance • Burnout Equilibrium
  5. It’s a strategy that all the players in the game can adopt and converge on, but it won’t produce a desirable outcome for anyone. Bad Equilibrium
  6. False Equilibrium
  7. False Analytics http://www.slideshare.net/swardley/an-introduction-to-wardley-maps
  8. False Analytics http://www.slideshare.net/swardley/an-introduction-to-wardley-maps
  9. Movie Fun
  10. More Fun - Game Theory
  11. Is a state of allocation of resources in which it is impossible to make any one individual better off without making at least one individual worse off. Pareto Efficiency
  12. A situation is inefficient if someone can be made better off even after compensating those made worse off. Pareto Inefficiency
  13. A concept of game theory where the optimal outcome of a game is one where no player has an incentive to deviate from his chosen strategy after considering an opponent's choice. Nash Equilibrium
  14. Sarah Steven Split Steal Split Steal
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 Equilibrium
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  39. Why Michael Lewis?
  40. Forty years ago, Israeli psychologists Daniel Kahneman and Amos Tversky wrote a series of breathtakingly original studies undoing our assumptions about the decision-making process. Their papers showed the ways in which the human mind erred, systematically, when forced to make judgments in uncertain situations. Their work created the field of behavioral economics, revolutionized Big Data studies, advanced evidence- based medicine, led to a new approach to government regulation, and made much of Michael Lewis’s own work possible. Kahneman and Tversky are more responsible than anybody for the powerful trend to mistrust human intuition and defer to algorithms.
  41. • Human Irrationality • Heuristics • System 1 (fast) • System 2 (slow) • Availability Bias • Regression to the Mean • Overconfidence • Illusion of Validity
  42. That’s how it’s always been done around here!
  43. • Undesirable Outcomes • Pareto Inefficient • Nash Equilibrium • False Analytics
 • Human Irrationality • Cognitive Bias • Overconfidence Devops Bad Equilibrium Good Opportunities… - Discontinuity - Dislocation
  44. Breaking Bad Equilibrium
  45. • Make work visible • Manage WIP • Manage Flow • Create high trust • Embrace failure Devops Advanced Good Better
  46. Really Hard Stuff Better Excellent • Psychological Safety • Blamelessness • Rethink SLA’s • Increase Headcount • Increase Buffers
  47. You are either building a learning organization… or you will be losing to someone who is… Andrew Clay Shafer
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