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.

  • felsiq
    3·
    2 months ago

    To add to this, with rustup you can add different build targets than the current system - could let you build the binary on a more powerful pc and then just scp it over.

    • Ephera@lemmy.ml
      5·
      2 months ago

      Yeah, we do this regularly at $DAYJOB, although we use Cross.

      Basically, if you pull in any libraries with vendored C code, like e.g. OpenSSL, then you’d need to configure a linker and set up cross-compilation for C code.
      Cross does the whole compilation in a container where this is already set up, so you just need to install Docker or Podman on your host system.

      Basically:

      cargo install cross

cross build --release --target=armv7-unknown-linux-gnueabihf

      …and out plops your binary for a Raspberry Pi.