A Political Scientist's View on Site Reliability
summary
Argues that team change in knowledge work only succeeds by small experiments led by motivated members, not top-down edicts, because hierarchical power is costly and fragile; adapts constructivist game theory to show rules change when others copy new behavior; applies Luhmann system theory to claim complexity equals contingency and risk and to recommend replacing ad hoc link networks with standard ones — e.g. Kubernetes reduces configuration risk; gives a debugging example where an intermittent error spike traces to a noncompliant bot discovered by slicing traffic by user agent.
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chapters (14)
- 0:00Intro
- 1:31Politics, policy, and polity
- 2:32Political science: Relation to other domains
- 4:41A political scientist's insights...
- 6:21Team building is ..
- 6:42Social change 101
- 6:54International Relations Theories: simplified
- 9:01Game theory: Prisoner's dilemma
- 12:04Team building: Network organization
- 16:43Team building as social change
- 21:19Next Steps: all about complexity
- 24:29System theory and debugging
- 25:49Even more complexity
- 29:14A political scientist's insights ..
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