fasthttp(go) can do around 80k/sec on my laptop; dash(C) can do almost 88k/sec on my laptop†. As soon as dash does IPC, it drops to around 51k/sec, and as soon as it needs a reply, we're down to 25k/sec††. I see no reason to believe fasthttp would do any faster.
That means I'm spending around 70% of my time in IPC -- something posix_spawn() would let me avoid (if my application were designed to do so). My same laptop will do 100k/sec posix_spawn() so I'd find this difficult to believe (1-4 msec per call) fork() or exec() is the bottleneck for any application with this architecture. Do you think posix_spawn() represents 70% of your costs? If our goal is to beat 51k/sec requests, sure, but NodeJS on my laptop (btw) gets 10k/sec, so if it's a contender, I'd say posix_spawn() is as well.
† https://github.com/geocar/dash/blob/master/README.techempowe...
What is just another way to make a NxM server, so maybe forget about it...
On the other hand a Node.js or Go program can have a preestablished pool of keep alive connections to the backends already ready to go and reuse that connection pool for many hundreds or even thousands of concurrent websocket connections. You can approximate something like this with the fork() model by having a local daemon process that manages the connection pool and have your forked process talk to that local helper daemon when it needs a connection, but you are still going to pay a penalty for that compared with having a fully preestablished connection ready to use right there in the process already