After reading docs don't think that makes much sense. This is sampling a bunch of stats from pg, wait sampling, and stat statements and storing somewhere in pg. If you want otel, you can do that yourself with pg exporter and store in your otel store.
Seems like it basically automates capturing metrics and storing them in PG but doesn't actually handle the instrumentation (it reads from various other things).
In Cloudflare Enterprise you can pick either or leave it on auto. Iirc there's a 3rd option but I don't know if it's still supported (Terraform and SDKs used to have it in the enum)
I basically write a prompt using my requirement and a natural language process model including all exceptions etc that I want to handle. I'll feed it to the agent and see how to does. I need to document the requirements anyways. The AI builds out my rough draft. Then I'll tell it to make changes or make them myself, test it, and review at every step. I'm honestly finding it to be more effective than passing it off to a junior dev (depending on the model and dev, but the quality of the recent junior devs on my team seems to be declining vs a coupke years ago).
>You could achieve precisely the same outcome by using search engines and normal research
When it comes to software engineering (as a software engineer myself), the AI is generally a lot quicker than me researching "the old fashion way"
I can fumble around and say "list free software that does X" without knowing I'm looking for, say, a CRM and then spend a couple minutes looking over the results when the "manual" method I would have spent 10-30 minutes just figuring out I was looking for "CRMs"
I like to think of these as sort of "psuedo NP hard" or questions that are slow to answer but quick to validate
Seems like it basically automates capturing metrics and storing them in PG but doesn't actually handle the instrumentation (it reads from various other things).
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