CephFS is awesome, but without a VPN it's not safe to be routed over the internet, and it lacks client support on many platforms. The Linux Kernel Library allows for the linux kernel to be built as a cross-platform user-space library and integrated into a regular Android, Windows, macOS, etc. application. This project combines CephFS, LKL and wireguard, and sprinkles some io-uring on top.

tl;dr

In https://github.com/SUSE-Cloud/automation/ we already have mkcloud, which can setup a whole SUSE Cloud on a single host for testing. However, it would be cool, if (instead of a single machine) we could use cloud.suse.de with its capability to add extra networks as requested.

Everybody is talking about (and with) ChatGPT. I tried it and was impressed by how well the language model behaves and finally how real and humanly it appears, despite the obvious nonsense that it outputs. I was wondering how machine learning practically works and how to build a neural network.

Description

I want to improve my personal server hosting environment. The key tasks include exploring OpenMediaVault which i've freshly set up, migrating existing Docker instances to docker-compose.yml files for streamlined deployment on Portainer, revamping the landing page built with Hugo, and investigating the potential of using Homarr to replace the current landing page for a more dynamic user experience. If there's enough time, i want to also improve the backup procedure, which is currently not covering all services.

The webVTT standard (nearly the same as the older SRT subtitles) allows to add subtitles to a video. We could use this in openQA to show which keys were pressed at that point in the video, in which line of code we were or on what event we waited. This could make debugging easier and might be instructive to users, too.