31–40 of 113 posts
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Most of those technologies are known for either how they handle complexity, or the coordination between asynchronous actors with shared resources
Uhhh what? jq is basically an updated sed. One input stream, one output stream, no awareness of anything else
Earlier quoted context omitted.
Most of those technologies are known for either how they handle complexity, or the coordination between asynchronous actors with shared resources
Uhhh what? jq is basically an updated sed. One input stream, one output stream, no awareness of anything else
There are a _lot_ of systems out there that tie together various components with tools that behave a lot like jq (or literally are jq...)
Earlier quoted context omitted.
Uhhh what? jq is basically an updated sed. One input stream, one output stream, no awareness of anything else
You don't see how a simple input/output streaming model would be helpful in understanding systems theory and design? There are a _lot_ of systems out there that tie together various components with tools that behave a lot like jq (or literally are jq...)
There is nothing unique about jq in this regard, and there is nothing particularly “systems thinking” about any of them. You can and people have used them for decades without doing any special “systems thinking”.
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You don't see how a simple input/output streaming model would be helpful in understanding systems theory and design? There are a _lot_ of systems out there that tie together various components with tools that behave a lot like jq (or literally are jq...)
Yes this is how every Unix command line utility works. There is nothing unique about jq in this regard, and there is nothing particularly “systems thinking” about any of them. You can and people have used them for decades without doing any special “systems thinking”.
And also Ackoff's talks on Systems Thinking:
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Where does one get started building a simple database?
Can you develop a file format plus API that is ACID compliant in C?
Building Evolutionary Architecture
The Checklist Manifesto
The Half Life of Data
How Buildings Learn
I recommend looking into anything around processes or process-building/management, project management, how incentives work, and how the brain works. The natural world and the corporate world are great examples of systems in action.
* Architecture of Open Source Applications (http://aosabook.org/en/index.html): always a nice reference for brief overviews of how various OSS projects are architected.
* Counterintuitive Behavior of Social Systems (https://ocw.mit.edu/courses/sloan-school-of-management/15-98...): primarily an argument by Jay Forrester (the "father" of system dynamics) for using computer models to test social policy changes, but also serves as a primer for how systems are complicated, and how to approach reasoning about complex systems.
* A City Is Not A Tree (http://en.bp.ntu.edu.tw/wp-content/uploads/2011/12/06-Alexan...): ostensibly a paper about the structure of cities, but but really a deeper insight into the limits of using tree-like structures to describe systems.
I suspect a strong background in Physics leads to systems thinking. Especially since a couple of my favourite system thinkers are Jacob Lund Fisker and Elon Musk. They both have degrees in physics.
Paras Chopra's blog - https://invertedpassion.com/