I literally can’t even.

As someone who spent countless hours of my youth in hammer, laying out areas with props and lighting and doing play testing about areal movement with test npcs, it’s hilarious that these people see this slop and say, yes this is the future.

also : “I’m working on a theory that “AI is art” boosters have some kind of limited ability to perceive details. Like they literally only perceive large shapes, colors, and noises. Anything remotely more detailed than ‘big thing go boom’ they actually lack the ability to see it.” 🤔🤔🤔

also: after discussing with my brother I came to the realization that this rube was likely very into the “play2earn” bullshit during the nft era

Mahindra started out by cloning the Willys and they sell something relatively modern in the states called the Roxor

fyi: some fellow forked all of the sentry stuff from when it was bsd and made it less shit to run yourself. I’d been running sentry as self hosted since it came out effectively and they made some real questionable outright bad architecture decisions over the years that made running sentry super annoying to get you to use the saas product. Like yes I want to use Cassandra and elastic search for my one user error logging

regardless https://glitchtip.com/

So this is literally a rehash of Spyce, a CambridgeMA based startup whos first restaurant was in the old chipotle in harvard square. They had a similar setup but one that was able to make actually-hot food instead of salad bowls which were decent. (they ironically sold to sweetgreen in 2021)

I can speak for the tangara, lovely hardware but it is an mp3 player first and foremost. the hardware is technically capable of network stuff but their software stack is mostly focused on recreating that iPod experience and keeping the battery life to days of playback. It does take some getting used to if you’ve been living in musical algoworld for a minute

Your phrasing of the question implies a poor understanding. There’s nothing preventing you from running containers on bare metal.

My colo setup is a mix of classical and podman systemd units running on bare metal, combined with a little nginx for the domain and tls termination.

I think you’re actually asking why folks would use bare metal instead of cloud and here’s the truth. You’re paying for that resiliency even if you don’t need it which means that renting the cloud stuff is incredibly expensive. Most people can probably get away with a$10 vps, but the aws meme of needing 5 app servers, an rds and a load balancer to run WordPress has rotted people. My server that I paid a few grand for on eBay would cost me about as much monthly to rent from aws. I’ve stuffed it full of flash with enough redundancy to lose half of it before going into colo for replacement. I paid a bit upfront but I am set on capacity for another half decade plus, my costs are otherwise fixed.

I assume ppl still run bzflag servers

From my understanding and experience each device you’re logged into gets the hardware survey a few times a year.

The way I’ve been using it for a few years is that most of my machines can see each other and I have a shared folder and versioning setup. As I add things they move between the different machines and once an additional machine has it it is available to the others until everything is in sync

You can definitely do chain topologies which are useful for certain things with a single source of truth

TIOBE merely measures the number of questions asked about a particular language online, which is obviously not exactly realistic metric but people for some reason love to spout it

As a note, I believe that syncthing will actually scale up with more nodes as they will all share with each other if they know each other. If you’re doing this 1 to many then this is not the case of course.

Seeing as the XLibre fellows upstream commits were reverted because they were absolute dogshit, I don’t think that the fork has legs

Ive actually been personally moving away from kubernetes for this kind of deployment and I am a big fan of using ansible to deploy containers using podman systemd units, you have a series of systemd .container files like the one below

[Unit]
Description=Loki

[Container]
Image=docker.io/grafana/loki:3.4.1

# Use volume and network defined below
Volume=/mnt/loki-config:/mnt/config
Volume=loki-tmp:/tmp/loki
PublishPort=3100:3100
AutoUpdate=registry

[Service]
Restart=always
TimeoutStartSec=900

[Install]
# Start by default on boot
WantedBy=multi-user.target default.target

You use ansible to write these into your /etc/containers/systemd/ folder. Example the file above gets written as /etc/containers/systemd/loki.container.

Your ansible script will then call systemctl daemon-reload and then you can systemctl start loki to finish the example

The Kde store UI is a bit lacking the screenshot browser has arrows all the way at the edges.

I uploaded three screens two of the configuration and one of the widget on a panel, expanded with all the advanced controls.

Edit: Ive reuploaded the images with the expanded widget first

The fork Ansel, is supposed to improve on the UI situation.

That is some terminal biz brain right there.

Kate has excellent lsp support nowadays as well.

I think the gap you have is in understanding that Podman Compose was meant to line up with the limitations of docker’s compose, but technically is more capable.

Quadlet files let you do more complex workflows like deploying multiple copies of a service in your deployment that regular compose doesn’t, while not running full kube.

The use I have is that I have something deployed in compose right now that I’d like to scale up on the box since i have the capacity for it, but dont want to deal with a full kube setup or the politic

Personally I’ve converted most of my single node k3s to using quadlet files instead as its less fragile. I absolutely deploy single containers in the quadlet. They show up in journalctl and the ergonomics are great.

Hi, i believe this is where https://groups.google.com/g/django-developers/c/C_Phs05kL1Q

They’ve explained why