I agree with you, a simple minimal url-shortener does not need 2FA.

This would require configuration with a whitelist of which OIDC IdPs to trust. Otherwise anybody could self-authorise a OIDC token (using their own IdP) and use that to log in.

Pypy is often considered the “best” alternative Python implementation. In some cases it can be much faster. But it’s often one or two versions behind, and not 100% compatible, and of course it doesn’t work with native Cpython extensions.

+1 for Forgejo

Kind of. Think of the RAM allowance as a “maximum” limit, not a reserved allocation. The VM host might have 64 GB RAM, and perhaps allows 20 VMS running in it at once. Each VM can allocate up to a max of 8GB from that host. Not everyone is running their VM at the same time, even if they are, not everyone would be running at their limit of 8GB of memory. If it does happen that 20 users are trying to use 8GB at the same time on one host, then it’s the same as anytime an OS runs low on RAM, it would start paging out to disk, everything would slow down for everyone. If that happens too many times, they could shuffle some users’ VMs around to balance the loads across hosts.

Can someone explain to me why it always seems like everyone on lemmy are in one of these two categories:

1: “I remember my first computer used ferro-magnetic beads that we glued to lengths of string. We could store nearly 10 bytes in one string”.

2: “My first computer was an old iPad that only had 64GB storage, couldn’t even store my photo album.”

It’s like everyone is aged either 89 or 19, nobody in between.

Probably because the RAM was pooled, but storage was not. So your RAM allocation is part of a larger pool that is shared between all currently logged in users. But your storage is allocated/reserved up front, and is used only by you.

Nice.

(dimming my bedroom lights)

Thats terrifying. Your desk outlet should not share a circuit with your bedroom lighting circuit, that makes no sense (unless you’re talking about a desk lamp).

And regardless, if a 700W load can make your lights dim, then there’s a major wiring issue in your house. Don’t plug in an electric cooker, kettle, or space heater until you get that checked out.

If I’m reading that correctly, that shows the system is drawing around 100W just sitting idle.

Something is not right there.

Either the power meter is way out of calibration, or there is a configuration issue with your PC. Maybe you have a performance setting that is causing the CPU and GPU to not idle down ever? Or a rogue antivirus software that is cranking the CPU constantly?

Are there any spinning disk hard drives in your PC? They can sometimes use around 5W each on idle. That was the biggest cause of idle power consumption on my old xeon server, with 8 HDDs.

PSU choice can also affect it. Eg, if you buy into marketing and buy a monster 850W PSU, but it’s idle all the time and only uses 450W under load, then the PSU is spending the whole time outside it’s efficiency curve, and can end up causing more power draw than expected.

I’ve only been to another country once in my life. In 2018 I was invited to present at a scientific conference held in Sicily, and my workplace sponsored my travel and accommodation costs.

After 6 days there, my takeaway was an unfavorable view of the local Sicilian people. This is obviously not representative of every person in Sicily, or Italians in general (Italy is a big place with lots of different regions), but I’m not in a hurry to go back to Palermo.

I need to move my mishmash of hard drives, fans, cables, and NUC into a proper NAS box, with a proper power supply and a mini itx motherboard.

Toml is superior to all.

Yep, perfectly average.

+1 for micro. I install it on every server I administer, and alias it to nano. If you’re a nano user and haven’t tried micro, I highly recommend it. It’s like nano, but built this century, it feels fast and modern.

That’s what the two prongs at the top are for. Flip the caliper upside down, use the prongs to measure the inside dimension, and read it off the same scale.