Breaking Bad Equilibruim - John Willis

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  • Breaking Bad Equilibrium John Willis Twitter: botchagalupe GitHub: botchagalupe

  • 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 Mehttps://github.com/botchagalupe/my-presentations

    http://devopscafe.orghttps://github.com/botchagalupe/my-presentations

  • Economics

    Wealth

    Markets

    Thermodynamics

    Equilibrium

  • Techical Debt

    Cooperation

    Risk

    Work Life Balance

    Burnout

    Equilibrium

  • Its a strategy that all the players in the game can adopt and converge on, but it wont produce a desirable outcome

    for anyone.

    Bad Equilibrium

  • False Equilibrium

  • False Analytics

    http://www.slideshare.net/swardley/an-introduction-to-wardley-maps

    http://www.slideshare.net/swardley/an-introduction-to-wardley-maps

  • False Analytics

    http://www.slideshare.net/swardley/an-introduction-to-wardley-maps

    http://www.slideshare.net/swardley/an-introduction-to-wardley-maps

  • Movie Fun

  • More Fun - Game Theory

  • 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

  • A situation is inefficient if someone can be made better off even after

    compensating those made worse off.

    Pareto Inefficiency

  • 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

  • Sarah

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    Nash Equilibrium

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  • Why Michael Lewis?

  • 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 Lewiss own

    work possible. Kahneman and Tversky are more responsible than anybody for the powerful trend to mistrust human intuition and defer to algorithms.

  • Human Irrationality Heuristics System 1 (fast) System 2 (slow) Availability Bias Regression to the Mean Overconfidence Illusion of Validity

  • Thats how its always been done

    around here!

  • Undesirable Outcomes

    Pareto Inefficient

    Nash Equilibrium

    False Analytics

    Human Irrationality

    Cognitive Bias

    Overconfidence

    Devops Bad Equilibrium

    Good Opportunities- Discontinuity

    - Dislocation

  • Breaking Bad Equilibrium

  • Make work visible

    Manage WIP

    Manage Flow

    Create high trust

    Embrace failure

    Devops Advanced

    Good Better

  • Really Hard Stuff

    Better Excellent

    Psychological Safety

    Blamelessness

    Rethink SLAs

    Increase Headcount

    Increase Buffers

  • You are either building a learning organization

    or you will be losing to someone who is

    Andrew Clay Shafer