Indeed this is very confusing! The program implements a pretty standard state machine (ok), but there is nothing apparently async here. The auth alludes to combining the state machine with async IO in this paper (https://github.com/angea/pocorgtfo/blob/master/contents/arti...), but this implementation is just using fread to (synchronously) read a chunk of bytes.
Furthermore, given disk caching and memory mapping, I'm not convinced async IO would really be that astonishingly different, as individual reads are going to be amortized over pretty much the same bulk reads that the sample program is doing.
As the author says themselves, it seems the main win is hand implementing the incremental utf8 parsing instead of calling a library/os function.
Maybe I'm being naive, but I don't get how "pathnames as a concept are now utterly broken in POSIX". Isn't this "merely" a problem that the resolution of the path name is dynamic and can change between inspection and use? Wouldn't a practice of resolving pathnames once (recursively, atomically, whatever) into an immutable, opaque, direct handle, such as file descriptor, before use solve this issue? I realize what I just said may be tantamount to "all file io ops taking path strings are broken" - but that seems like a problem with the initial API design, not with the concept of having a level of indirection in path name resolution itself.
This is basically what I was going to say. The article spends a lot of time arguing that TOCTOU patterns introduce security vulnerabilities, which I think all programmers (should!) already know but then comes to the weird conclusion that we'd just be better off without symlinks instead of designing an API to work with them atomically.
Kinda reminds me of how a lot of UX changes happen: "This really popular feature is a bit kludgy and hard to maintain, let's just rewrite the whole app without it! (Instead of doing the work required to make it not suck.)"
Others will probably provide some other good reasons, but to me, Docker is multiplexing the global shared resource that is typically singular on a machine (at least a cloud/vm) - network ports. Of course you can easily stand up multiple services (of varying or same software platform) but you will need to carefully negotiate and manage and proxy ports. Docker provides an abstraction that does this for you, where services are hosted under unique internal host names which are easily addressable.
Furthermore, given disk caching and memory mapping, I'm not convinced async IO would really be that astonishingly different, as individual reads are going to be amortized over pretty much the same bulk reads that the sample program is doing.
As the author says themselves, it seems the main win is hand implementing the incremental utf8 parsing instead of calling a library/os function.