I wrote a new blog post, about monitoring, and when averages are useful: http://brooker.co.za/blog/2017/12/28/mean.html …
If we measured dynamic Kolmogorov complexity, in terms of the the number of branches actually executed in running code, I have a hunch that we'd identify "hot" and "cool" systems more easily and learn to insulate more organically.
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We'd also see big changes (deployments, new features) in behavior as a big temperature change, naturally associate it with thermal stress, and so manage it appropriately; keep the cooling on standby.
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I like this idea of building systems that are easily monitorable, not only because they can be measured, but because their emergent properties can be understood with a relatively simple mental model.
End of conversation
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