I run k3s in my homelab as a single node cluster. I’m very familiar with kubernetes in general, so it's just easier for me to reason with a control plane.

Some of the benefits I find useful:

• ArgoCD set to fire and forget will automatically update software versions as they happen. I use nix to lower the burden of maintaining my chart forks. Sometimes they break, but
• VictoriaMetrics easily collects all the metrics from everything in the cluster with very little manual tinkering, so I am notified when things break, and
• zfs-localpv provides in-cluster management for data snapshots, so when things do break I can easily roll back to a known good state.

k3s is, of course, a memory hog, I'd estimate it and cilium (my CNS of choice) eat up about 2Gb ram and a bit under one core. It's something you can tune to some extent, though. But then, I can easily do pod routing via VPN and create services that will automatically get a public IP from my endless IPv6 pool and get that address assigned a DNS name in like 10 lines of Yaml.

I use swarm in my home lab, I don't have any docker things at work so Kubernetes is way more then I want to manage.

All my stacks are in a git repo, I have an ansible playbook to update them if needed. I also have most things tracked on new releases (https://newreleases.io/) so I know when something needs an update, then I can either update the git repo by hand or use ansible.

Also have a look at docker contexts, you can manage your swarm from a remote location.

Acronyms, initialisms, abbreviations, contractions, and other phrases which expand to something larger, that I've seen in this thread:

8 acronyms in this thread; the most compressed thread commented on today has 13 acronyms.

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I'm using k8s at work and am planning to set up k3s at home, because even though PVCs and Ingresses are not the easiest to grasp and write in templates, I think the way I want to do storage is beyond the capabilities of podman which I used earlier. Also, Kubernetes on either end so knowledge transfer is ready

What are your reasons for using docker swarm instead normal docker if you don't want to do replication?

My personal experience with swarm has been terrible. I would not recommend it for anyone. For me it is full of foot-guns. I found it difficult to debug when things go wacky. The last time I checked, the project was dead, but it feels like it. It doesn't seem to be many people using it, because I find it difficult finding answers. In addition, there was a docker swarm python script originally, but then it was kinda/sorta implemented into docker itself. They work similarly, but not the same. I often got hung up following directions from the wrong one. I'm in the middle of migrating to k3s and nix.

Others have talked about a good experience with it, but that wasn't my story. Is docker and docker compose work for you, then stick with it. If you want something more, I would recommend looking at k3s before jumping into docker swarm.

On additional note, I have multiple nodes, which is why I went to docker swarm instead of sticking with docker compose. Having only one node might hide some of the issues I had/have with docker swarm .

I don’t have an answer for you but I have one instead. When I attempted to do swarm my biggest challenge was shared storage. I was attempting to run a swarm with shared storage on a NAS. Literally could not run apps, ran into a ton of problems running stacks (NAS share tried SMB and NFS). How did you get around this problem?

I was in the same place as you a few years ago - I liked swarm, and was a bit intimidated by kubernetes - so I'd encourage you to take a stab at kubernetes. Everything you like about swam kubernetes does better, and tools like k3s make it super simple to get set up. There _is& a learning curve, but I'd say it's worth it. Swarm is more or less a dead end tech at this point, and there are a lot more resources about kubernetes out there.