TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

Observations on Observability

57 点作者 jlward4th超过 5 年前

3 条评论

jacques_chester超过 5 年前
What I wish I had is a book that introduces control engineering in some depth for software folks like me.<p>I wanted to write such a book, or half of such a book, as a second part of <i>Knative in Action</i>. I wrote a simulator[0] and did a ton of reading which felt like I&#x27;d barely scratched the surface of the surface.<p>But really, there&#x27;s just no room for what I wanted to do. Based on a simple estimate it would have run to about 200 pages on top of another 250 pages of actually-about-Knative material. So that whole section wound on the cutting room floor. Maybe another time.<p>In terms of books I felt helped me the <i>most</i> down this road, here&#x27;s a reasonable reading list I&#x27;d point to:<p><i>Feedback Control for Computer Systems: Introducing Control Theory to Enterprise Programmers</i>, by Philipp Janert. Short, to-the-point introduction to basic classical control theory using PID controllers.<p><i>Matching Supply with Demand: An Introduction to Operations Management</i> by Cachon and Terweisch. A short, meant-for-MBAs textbook on operations management (ie applied operations research). Simple and approachable. Very good for warming up to...<p><i>Factory Physics</i> by Hopp and Spearman. Magisterial in scope, also magisterial in grumpiness and idiosyncracy. I&#x27;ve directly applied material from this book and <i>Matching</i> to research work.<p><i>Business Dynamics</i> by Sterman. Still the best system dynamics book I&#x27;ve ever read. I&#x27;m anxiously waiting for the 2nd edition, expected circa 2021.<p><i>Performance Modeling and Design of Computer Systems: Queueing Theory in Action</i> by Harchol-Balter. Approachable and enlightening. I stumbled on a few of the proofs and got lost once or twice in thickets of notation, but that&#x27;s due to my own mathematical immaturity more than the book itself.<p>But I still don&#x27;t have <i>a</i> book to refer to for the specifics of software dynamics, spanning its physics and economics. And I wish I did. I would love to read that book, if folks can make recommendations.<p>[0] <a href="https:&#x2F;&#x2F;github.com&#x2F;pivotal&#x2F;skenario" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;pivotal&#x2F;skenario</a>
floatrock超过 5 年前
&gt; At scale, digital becomes analog. — Michael Feathers<p>&gt; Fortunately, as discrete pieces aggregate, they start to look continuous. At scale, we can take advantage of this, embracing higher-level metrics that can be treated as continuous signals.<p>He&#x27;s saying that rather than look at request-level metrics in your Big Data Message Queue (request ID, etc.), your message queue <i>in aggregate</i> can be seen as an industrial process, and there&#x27;s an entire discipline built around managing those called Statistical Process Control.<p>Seen in this way, the next NewRelic is going to be all about creating p- and c-charts [1] where the limits algorithmically turn knobs on your kubernetes cluster.<p>In other words, the next big dev-ops trend is going to be the return of Six Sigma.<p>[1] <a href="https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Control_chart" rel="nofollow">https:&#x2F;&#x2F;en.wikipedia.org&#x2F;wiki&#x2F;Control_chart</a>
评论 #21132538 未加载
tiedemann超过 5 年前
I can not say that I really understand anything but I like it; any chance of using the term factorial in meetings outside of gaming is a win.