Yeah, ofc it is.
I’m working in a system that generates 750 MILLION non-debug log messages a day (And this isn’t even as many as others).
Good luck grepping that, or making heads or tails of what you need.
We put a lot of work into making the process of digging through logs easier. The absolute minimum we can do it dump it into elastic so it’s available in Kibana.
Similarly, in a K8 env you need to get logs off of your pods, ASAP, because pods are transient, disposable. There is no guarantee that a particular pod will live long enough to have introspectable logs on that particular instance (of course there is some log aggregation available in your environment that you could grep. But they actually usefulness of it is questionable especially if you don’t know what you need to grep for).
These are dozens, hundreds, more problems that crop up as you scale the number of systems and people working on those systems.
Ok…
So your point is that a bad logging implementation is bad. And I agree.
I’m not seeing how that’s extendable to implementations as a whole. You’re conflating your bad experience with "log aggregation is bad’.
Just because your company sucks at this doesn’t mean everyone else’s does.