Same - I'm a SWE embedded in a small (but growing) ML team. We have all of the same problems.
It seems that the "all-in" platforms are too "rigid", and all of the point solutions for the things you mentioned aren't proven enough.
It seems that the "all-in" platforms are too "rigid", and all of the point solutions for the things you mentioned aren't proven enough.
That is magical thinking. I prefer best of breed solutions that integrate nicely with other best of breed solutions every day. That way if a tool doesn't suit you tomorrow, you can relatively easily swap it out for something better