CallMeAl (Not AI)

People are lazy

Yeah, that tracks. It sounds like Type 1 Laziness: people who don’t want to do anything.

I sense you make this because you are Type 2 Lazy: Happy to learn and make 100 new things to avoid having to do a boring thing more than once. That’s something I can both appreciate and relate to.

Sorry if this is a silly question, but what is the use case for this?

Other than Friendica, Mastodon, Matrix, PeerTube and PieFed, what’s worth running on a Docker instance with 8 VCPUs, 16GB of RAM and around 300GB of storage?

I usually do it the other way around. I figure out what I want to run and at what scale and then I get the server.

You can certainly do all that learning with or without directly connecting the fiber to your firewall pc. For a mini pc you will likely need to get a USB to SFP adapter. If you want to go that route I suggest searching for compatible hardware recommendations and get a USB to SFP that has worked well for others.

Personally I would stick with the ISP modem. In any case, happy learning!

This is working fine with no issues.

It seems like a lot of time and effort with no upside except having one device in the place of two. Is there more you are hoping to accomplish with this proposed change?

As far as I know you can change the audio output per app but not per monitor.

I live in an apartment with a very small fridge that has a tiny freezer inside it. I got a small chest freezer that I use for storage. I only use the one in my fridge for freezing stuff, then it moves to the chest freezer.

Do you do meal planning and if so do your plans include your frozen stuff?

Yes, and freeze sauces, soups, and stews in ice cube trays and then into freezer bags for easy portioning later. This was life changing advice for me.

If you were honest about what you can bring to the friendship and what you can’t then it’s nobody’s fault. Its mismatched expectations. Sometimes you can work that out and sometimes you can’t.

Mulvad is 5 euro per month for up to 5 devices. You could split it with 4 other people…

If the file is already selected you can do this from the keyboard:
SHIFT+F10 -> h -> ARROW KEYS (to highlight Firefox) -> ENTER

yeah, I’m not saying its fake but it does read just like a linux-horror creepypasta

There’s a old school tool call sar which can help you figure out what is causing the performance issues. Found a recent guide: Mastering sar in Linux: A Comprehensive Guide

If your system uses systemd you can set resource limits like cpu per process or user.

There is no such thing as maintenance free hosting. There is just saving it all up for the eventual outage.

I agree with the idea of debloating and hardening your systems.

It helps to have some context as the approach I would take depends on what kind of system I’m running. I think its also good to identify your priorities to hone your approach.

When I want stability, fast security updates, minimal install size, I usually use Alpine which indeed uses the lighter busybox bin/sh instead of bash.

When it comes to my workstation shell I’m more focused on utility than size. So bash or zsh or fish, or whatever you find the most useful, makes sense to use.

Yes, 100 projects from the Fat Head would make sense.

Do you have any way to establish that these 100 more often come from the Long Tail?

If an app includes 50 well-known big projects and 1000 small projects, the sum result can still be that small projects make up for a large fraction of the code.

I understand your point that this is possible. It is an assumption to assume it is most likely the case however.

I would expect the Fat Head of most used open source projects to make up the vast majority of the open source code included in apps. It is not a common practice to include 1000 small projects into a code base for an app, or even 100.

Is it not reasonable then to expect that the 77% of app code from open source is because the most popular app building blocks are open source? Aren’t the popular open source languages, frameworks, and databases are themselves big enough to exceed the number lines of internally written code for the app business logic most of the time?

For example, if I make a “small” electron app its going to be 90% or more open source because the electron base is so large already.

The insight that a majority of open source projects are small contributions by hobby developers, and that it is their summed joint effort what matters, is very interesting.

The vast majority of open source projects are by hobby developers but how much of those projects make up the 77% of the open source included in apps mentioned in the study?

The author assumes an even distribution but I challenge that.

The most popular (Top listed by Github, Gitlab, etc) open source languages (python, typescript, etc), frameworks (rails, flutter, react, etc), and databases (postgres, mongo, redis etc) are all either directly corporately funded (Google, Microsoft, Meta, etc) and/or have robust foundations and sustainability plans.

I would expect these to make up the vast majority of the open source code in modern apps.

What does “optimized for desktop use over Tor” mean? Please explain the optimizations.