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Joined 1Y ago
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Cake day: Jun 18, 2023

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Whatever works for you. Just do it. It is convenient as f when you are just starting. You can always improve incrementally later on when (if) you encounter a problem.

Too much noise/power costs to run a small thing - get a pi and run it there. Too much impct on your desktop performance - okay, buy a dedicated monster. Want to deep dive into isolating things (and VMs are too much of a hassle) - get multiple devices.

No need to spend money (maybe sponsoring more e-waste) and time until it’s justified for your usecases.


Data visualization, like Grafana, but configurable without gui.
I currently use Grafana to view how all sorts of stuff changes over time. It gets the job done, but is far from ideal: - edititng the data queries is intended to only be done in the web ui (so I end up just copypasting stuff to/from pycharm to at least have a nice text editor) - can't store config in a git repo (yes, I can dump & restore the config as a huge json, but AFAIK the json structure is considered an internal api, so it can change at any time making versioning useless) - all plot parameters other than the data query have to be configured via gui I did try `grafanalib` some time ago and it didn't feel right. It was quite behind in plot types (Grafana screamed at me "don't use this plot type, use the new one instead"), and is using unofficial api (the json config again). Any suggestions? It doesn't even have to be a ready-to-use tool, a library/framework for making dashboards will also do.
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