You can tell this is web scale because of how complex the example is.
However, Go's ability to do coroutines + multicore certainly makes it easier to take advantage of the system's full potential, and this ability is not terribly common in other languages (at least not in such an automatic way). Of course the same result could be achieved with any event-driven language in a less automatic way.
Arguably any functional language does this even more automatically than Go does.
The language doesn't matter, as long as its compiler can expect purely functional code and the compiler is written to take advantage of that code.
Rust kind of succeeds in having it both ways -- the programmer decides what runs in parallel, but the compiler won't allow race conditions.
I can't imagine any better scenario than just writing code that can be automatically parallelized, though.
I'm not holding out much hope for automatic parallelization to save us, or even help all that much. The only remaining hope is that a language written from the beginning to afford more automatically-parallel programs will help, but those efforts (Fortress most notably) also have not gone well. https://en.wikipedia.org/wiki/Fortress_%28programming_langua... , http://web.cs.ucla.edu/~palsberg/course/cs239/F07/slides/for... starting page 33
It's a pity, really. But unfortunately, I wouldn't be promising anybody anything about automatic parallelization, because even in lab conditions nobody's gotten it to work very well, so far as I know. It's a weird case, because my intuition, like most other people's, agrees that there ought to be a lot of opportunity for it, but the evidence is contradicting that.
Anyone who's got a solid link to contradictory evidence, I'd love to hear about it, but my impression is that research has mostly stopped on this topic, because that's how poorly it has gone.
It is, however, easier to use, but the context switching and stack overhead would be too great at anything close to 10M connections.