conrad82

When I have used nfs in the past, i have issues with different user ID. What is the best solution these days?

After becoming a father last year, the time I have for tinkering is close to 0. I found it easiest to keep all the data in the same vm / lxc, pretty straight forward to maintain

I tried that too for a time, using samba. But databases didn't work from a share. I just found it easier in the end to have volumes inside the LXC / VM directly

I'm using smtp gotify , been using it for a while now and it seems OK for alerts and outer features

https://github.com/jreiml/smtp-gotify

I used to use LXC, and switched to VM since internet said it was better.

I kinda miss the LXC setup. Day to day I don't notice any difference, but increasing storage space in VM was a small pain compared to LXC. In VM I increased disk size through proxmox, but then I had to increase the partition inside VM.

In LXC you can just increase disk size and it immediately is available to the containers

I use it too. I am too old to tinker with my OS, Bluefin has some nice defaults and stuff just works (mostly)

Have you considered gollum https://github.com/gollum/gollum ?

A simple, Git-powered wiki with a local frontend and support for many kinds of markup and content.

I used it a long time ago, but then I wanted to try the next shiny note taking app..

I set up a server with all my stuff on, and use syncthing for syncing my files, and self hosting for services. I mostly use vanilla configs for apps, and prefer distros with good defaults.

Some time ago I switched to Bluefin, and stopped distro-hopping 😅

I also use miniflux, have used it for more than a year and I have not looked for alternatives, which is good sign.

I use Flux News on android to consume my feeds. https://github.com/KevinCFechtel/FluxNews

I agree. I learned and used emacs and org mode for several years. With age, I now want simpler tools that do not need extensive configuration. Using mainly Spyder and VS Code for python coding

Me too. I use uptime kuma to send the api request. then I also get uptime status 🙂

Yes it is correct. TLDR; threads run one code at the time, but can access same data. processes is like running python many times, and can run code simultaneously, but sharing data is cumbersome.

If you use multiple threads, they all run on the same python instance, and they can share memory (i.e. objects/variables can be shared). Because of GIL (explained by other comment), the threads cannot run at the same time. This is OK if you are IO bound, but not CPU bound

If you use multiprocessing, it is like running python (from terminal) multiple times. There is no shared memory, and you have a large overhead since you have to start up python many times. But if you have large calculations you can do in parallell that takes long time, it will be much faster than threads as it can use all cpu cores.

If these processes need to share data, it is more complicated. You need to use special functions to share data, like queues and pipes. If you need to share many MB of data, this takes a lot of time in my experience (10s of milliseconds).

If you need to do large calculations, using numpy functions or numba may be faster than multiple processes, due to good optimizations. But if you need to crunch a lot of data, multiprocessing is usually the way to go

if i remember correctly, i just replaced gitea with forgejo for image: in my docker-compose, and it just worked

it was a couple of versions back, so i don't know if that still works