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1
Intro
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LEARNING FROM COMPLEX SYSTEMS
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Main takeaways
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whoami
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Linear Models of Delivery
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Evolution to autonomous teams
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Mindset shift
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Traditional Incident Management
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The Post-mortem
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Is there a better way?
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Management of work
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Knowledge and Understanding (Linear Analysis and Systems Thinking)
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Where linear analysis breaks down
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Characteristics of Complex Systems Philosophy and sciences can agree that
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How can we learn better?
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Resiliency in nature
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Conditions for Resiliency
Description:
Explore the intricacies of complex systems in this 28-minute conference talk from SREcon21. Delve into the characteristics of complex systems, from slime molds to human brains and modern organizations. Examine the limitations of linear analysis and traditional incident management approaches. Discover alternative methods for learning from incidents in complex environments. Gain insights into the evolution of autonomous teams, systems thinking, and conditions for resiliency. Apply takeaways from history, science, and philosophy to enhance understanding and management of complex systems in technology and beyond.

Learning More from Complex Systems

USENIX
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