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 fork Ansel, is supposed to improve on the UI situation.
Unironically their greatest movie.
Kate has excellent lsp support nowadays as well.
Pretty solid gameplay so far, threw a tenner at them for the work
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.
Ah good to know, shame it's been left by the wayside a bit. Was super useful in the early days
From my understanding and experience each device you're logged into gets the hardware survey a few times a year.