2019年/12月/03日
深层次观察
作者编码三十年，从达尔文自然选择，物理定律，数学之间发现了软件世界的关系。
Back to some high-level observations
Agile DevOps practice stems from the recognition that we live in a world that is fundamentally based on uncertainty, ambiguity, incompleteness, and a healthy dose of confusion. From the scientific/philosophical point of view, these traits are well documented and supported by Heisenberg’s Uncertainty Principle (covering the uncertainty part), Wittgenstein’s Tractatus Logico-Philosophicus (the ambiguity part), Gödel’s incompleteness theorems (the incompleteness aspect), and the Second Law of Thermodynamics (the confusion caused by relentless entropy).
In a nutshell, no matter how hard you try, you can never get complete information when trying to solve any problem. It is, therefore, more profitable to abandon an arrogant stance and adopt a more humble approach to solving problems. Humility pays big dividends in rewarding you—not only with the hoped-for solution but also with the byproduct of a well-structured solution.
敏捷 DevOps 的实践源于人们对所生活的世界的认知。我们生活的世界存在不确定性、不完整性以及充满太多的困惑。从科学/哲学的角度来看，这些特征得到了海森堡的不确定性原理Heisenberg’s Uncertainty Principle（涵盖不确定性部分），维特根斯坦的逻辑论哲学Wittgenstein’s Tractatus Logico-Philosophicus（歧义性部分），哥德尔的不完全性定理Gödel’s incompleteness theorems（不完全性方面）以及热力学第二定律Second Law of Thermodynamics（无情的熵引起的混乱）的充分证明和支持。
简而言之，无论你多么努力，在尝试解决任何问题时都无法获得完整的信息。因此，放下傲慢的姿态，采取更为谦虚的方法来解决问题对我们会更有帮助。谦卑会给为你带来巨大的回报，这个回报不仅是你期望的一个解决方案，还会有它的副产品。
Nature works incessantly—it’s a continuous flow. Nature has no master plan; everything happens as a response to what happened earlier. The feedback loops are very tight, and apparent progress/regress is piecemeal. Everywhere you look in nature, you see stepwise refinement, in one shape or form or another.
Agile DevOps is a very interesting outcome of the engineering model’s gradual maturation. DevOps is based on the recognition that the information you have available is always incomplete, so you’d better proceed cautiously. Obtain a measurable test (e.g., a hypothesis, a measurable expectation), make a humble attempt at satisfying it, most likely fail, then collect the feedback, fix the failure, and continue. There is no plan other than agreeing that, with each step of the way, there must be a measurable hypothesis/test.
大自然在不停地运作，这是一个持续不断的过程。大自然没有总体规划。一切都是对先前发生的事情的回应。 反馈循环是非常紧密的，明显的进步/倒退都是逐步实现的。大自然中随处可见，任何事物的都在以一种或多种形式逐步完善。
敏捷 DevOps 是工程模型逐渐成熟的一个非常有趣的结果。DevOps 基于这样的认识，即你所拥有的信息总是不完整的，因此你最好谨慎进行。获得可衡量的测试（例如，假设、可测量的期望结果），进行简单的尝试，大多数情况下可能失败，然后收集反馈，修复故障并继续测试。除了同意每个步骤都必须要有可衡量的假设/测试之外，没有其他方法。