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There can be better efficiencies by disaggregating the full stack into microservices and making IPC calls among scalable workers versus strictly service-per-server models which, yes, incur scaling issues from network iowait. Modern network operating systems do this, which allows heavier loaded processes more access to resources while lesser loaded processes are deferred.
I'm not sure what you mean by a "network operating system", but monoliths are inherently just as scaleable as services.
Imagine you have a service architecture, and you are running 2 of service A, 4 of service B, and 8 of service C.
Alternatively, you could be running a monolith on 14 nodes. Most of the work those 14 nodes will be doing work that would have been covered by service C, it's just spread out in a different way.
I'm talking about Cisco IOS-XR, Juniper JunOS, Arista.EOS and others.
Those operating systems are disaggregated, meaning different features can be restarted, replicated, scaled out horizontally, or upgraded without having to disturb the other components in runtime.
Maybe we're getting at the same point from other ends. I'm not a traditional software engineer,but ai have had academic and professional training on these topics.