Deming to DevOps (Revisited)
summary
Argues that DevOps traces to Deming’s statistical approach—statistical process control—and to 20th‑century physics ideas about non‑determinism, then maps concrete tools and milestones: continuous delivery pipelines published in 2006, Chef and infrastructure‑as‑code lineage to Mark Burgess and later Terraform, Kanban/CAD for software, and the jump from 10 deploys a day → 1000/hour as evidence of scaling. Claims PDCA stems from pragmatism, warns neural nets lack abductive reasoning, and points to a short paper framing a “Phoenix Project for AI” as a practical caution.
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chapters (11)
- 0:00Introduction to talk
- 1:06Brief history of Deming
- 5:01Darwin and non-determinism
- 8:56Deming’s post-war impact
- 12:07Epistemology and pragmatism
- 14:15Lean and continuous improvement
- 15:58Mary Poppendieck’s lean software
- 17:42Continuous delivery revolution
- 19:07Birth of DevOps
- 22:38Infrastructure as code
- 23:20History of AI teaser
