It's interesting that the industry constantly has to relearn the idea that tech needs follow business needs, not the other way around. As you said, so many team

It's interesting that the industry constantly has to relearn the idea that tech needs follow business needs, not the other way around. As you said, so many teams rushing to containerize, but if the services you run are piles of junk, do your users care about whether kubernetes can scale based on memory instead of cpu? Similarly, many effective "recommendation engines" are just inverted indexes and not fancy ML models, and are a hell of a lot cheaper.