Earlier quoted context omitted.
I just want to point out that for the second problem (scalability of CPU/memory/io), microservices almost always make things worse. Making an RPC necessarily implies serialization and deserialization of data, and nearly always also means sending data over a socket. Plus the fact that most services have some constant overhead of the footprint to run the RPC code and other things (healthchecking, stats collection, etc.…
Microservices are less efficient , but are still more scalable . Servers can only get so big. If your monolith needs more resources than a single server can provide, then you can chop it up into microservices and each microservice can get its own beefy server. Then you can put a load balancer in front of a microservice and run it on N beefy servers. But this only matters at Facebook scale. I think most devs would be…
When you have a giant monolith with the "load the world" endpoint, it can be tricky to pinpoint the the "load the world" endpoint (or, as is often the case, endpoint*s*) is what's causing issues. Instead, everyone just tends to think of it as "the x app having problems."
When you bust the monolith into the x/y/z, and x and z got the "load the world" endpoints, that starts the fires of "x is constantly killing things and it's only doing this one thing. How do we do that better?"
That allows you to better prioritize fixing those scaling problems.