I’m currently using InfluxDB + Telegraf + Grafana combination to monitor Linux systems and k3s pods. It’s basically same as Prometheus, but InfluxDB uses push model, which makes it easier to develop tools for collecting custom time series data.

For alerts and dashboards, I think Grafana is the simplest and most hassle free solution available at the moment.

I have a APC Back-UPS 1600VA. It powers two desktop PC/Server, a monitor, and router. So far, it gets the job done.

The biggest downside is; battery is not user replaceable, at least it’s not straight forward like the other models. If possible, prefer a UPS with the easy battery replacement option.

Road to success (2024 AI Hype Edition):

1. Clone VSCode.
2. Rename it as LSCode, squash all history, and create some random commits with --author="Linus Torvalds <torvalds@linux-foundation.org>".
3. Add a character AI that calls your code garbage.
4. Profit.

GitHub constantly becomes more bloated, clunky and privacy/license concerning AI BS. It almost feels like using 2010 TFS server with git flavor. Unfortunately, It has a huge user base and it’s hard to incentivize people to use other platforms.

It’s easier for well-established projects to host their own git infrastructure. But for new projects and solo developer, it harder to get interaction on other platforms. I think that’s why even Gitea team uses GitHub as a main location for development. Similarly, I still mirror my public repositories to GitHub for the same reasons even though I prefer using my own Gitea server.

Biggest difference is being able to execute INSTCMD commands, at least that was the main reason why I developed my own tool. Another less important differences are: older ARM support and since it’s written in Rust, it’s much more efficient in terms of resource usage. TBH, being that efficient only makes sense for very low-power devices.

Besides that, I don’t think you can go wrong with either project.

Thanks! I appreciate any kind of feedback.

Jiatan probably is in shambles right now. Poor guy spends years to infiltrate in a project and got caught. Meanwhile CrowdStrike took whole infrastructure down with a single update.

I’m actively using ollama with docker to run llama2:13b model. It’s generally works fine but heavy on resources as expected.

I personally use Traggo, but TimeTagger is also a great option: https://timetagger.app/articles/selfhost/

If I’m recall correct, Sugo 13 only has single 3.5 slot. I’d say look for Sugo 14 (2x3.5) or Node 304 (6x3.5)

Make sure all of your components fits to the planned case including power supply.