this post was submitted on 08 Sep 2024
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Programming

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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.

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[–] [email protected] 3 points 1 week ago (3 children)

Are you planning to compile the programs on the thin client? Although rust runs efficiently on a lot of hardware, compiling is gut-wrenching.

I have an rPi 1B running as a lightweight server and both rust and c++ applications take hours to compile (some of them take over a DAY). so, interpreted languages might be what you're looking for. my favorite is python. most distros have a lot of native packages in their repos. albeit a little weird to work on, perl is great, too.

[–] [email protected] 3 points 1 week ago (2 children)

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.

[–] [email protected] 3 points 1 week ago

this is great.

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