Not the person that originally asked you, but I'm interested in hearing why ditching docker is needed for high volume production. First, what do you consider high volume? After that, what's wrong with docker within that definition?
Also, this is not an argument _against_ containerization. You make no argument or show any evidence of performance benefits bare v. docker.
It's in this kind of a world that elastic compute provided by a cluster scheduler with efficient packing looks really appealing. And our jobs, while meaty in time and space, are stateless once the initial data is poured in, up until the results pop out - they are big functions, basically. Good match for a stateless container.
So k8s looks quite attractive.