I have a small homelab running a few services, some written by myself for small tasks - so the load is basically just me a few times a day.
Now, I’m a Java developer during the day, so I’m relatively productive with it and used some of these apps as learning opportunities (balls to my own wall overengineering to try out a new framework or something).
Problem is, each app uses something like 200mb of memory while doing next to nothing. That seems excessive. Native images dropped that to ~70mb, but that needs a bunch of resources to build.
So my question is, what is you go-to for such cases?
My current candidates are Python/FastAPI, Rust and Elixir, but I’m open for anything at this point - even if it’s just for learning new languages.
Scala compiles either to native, js or jvm - obviously the IO / interface options vary between these envs, but the lang is the same. Recently Scala 3.5 incorporates a simple-to-use CLI which makes it easier to compile to native (or just run a small file as a script, or experiment with a repl), native binaries are small and fast, and there are some simple io libraries. Since you can also compile to jvm to interop with java, that might help with transition.
But that would mean either using Graal/native image or going full Scala, right?
I only used Scala for Gatling, where it’s obviously very java-y.
Indeed to use scala-native you’d need pure-scala libraries, but the core lib re-implements most java lib, and there are now small simple external libs available for common tasks like file management, database, etc. - for example check out the lihaoyi suite.
I mainly use scala-js (to make this) which was formerly a java app - as it compiles to both js and jvm (cross-project) can gradually convert stuff you already wrote. I’ve tried native for stuff like pre-processing data files.