Discover DevOps Dao‑Fa‑Shu‑Qi 2.0: A Holistic Framework for Enterprise Delivery
In this article, the author revisits the DevOps Dao‑Fa‑Shu‑Qi framework presented at DevOpsDays Shanghai 2017, introduces the upgraded 2.0 version with refined semantics for the Dao, Fa, Shu, and Qi components, and shares visual diagrams and insights for practical enterprise implementation.
Background
On August 18, 2017, at the main venue of DevOpsDays Shanghai, I delivered a talk titled “DevOps Dao‑Fa‑Shu‑Qi” that systematically presented my understanding of DevOps and proposed an enterprise‑grade, three‑dimensional implementation framework named with the culturally rich terms Dao, Fa, Shu, and Qi.
The audience response was enthusiastic, and many industry peers later engaged with me to explore DevOps strategies, practices, and tooling in depth.
DevOps Dao‑Fa‑Shu‑Qi 2.0
Almost a year later, my work exposed me to numerous companies across different industries and their concrete implementation cases, prompting a re‑examination of the original framework.
Combining recent reflections with insights gained from a close encounter with Jez Humble, one of the fathers of continuous delivery, I refined and expanded the model, releasing the DevOps Dao‑Fa‑Shu‑Qi 2.0 version.
The main updates are:
Adjusted the semantic description of the framework within DevOps scenarios.
Enhanced the “Dao” component to include business value contribution and cultural aspects.
Integrated the “Fa” component with the three‑step DevOps workflow.
Linked the “Shu” component to the DevOps capability growth model.
Connected the “Qi” component with the supporting technical platform.
Sharing useful knowledge is valuable only when it drives change; feel free to disseminate this diagram widely and leave comments for further discussion.
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DevOpsClub
Personal account of Mr. Zhang Le (Le Shen @ DevOpsClub). Shares DevOps frameworks, methods, technologies, practices, tools, and success stories from internet and large traditional enterprises, aiming to disseminate advanced software engineering practices, drive industry adoption, and boost enterprise IT efficiency and organizational performance.
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