ddh

1. I’m backing up LXCs, like I’d back up a VM. I don’t back up Docker containers, just their config and volumes.
2. I don’t think anyone is doing that. We’re talking about installing Docker in LXC. One of the Proxmox rules you can live by is to not install software on the host. I don’t see the problem with installing Docker in an LXC for that reason.
3. I’ll snapshot an LXC before running things like a dist-upgrade, or testing something that might break things. It’s very easy, so why not?
4. I back up my LXC that has Docker installed because that way it’s easy to restore everything, including local volumes, to various points in time.

You can also create a single LXC for Docker and run multiple Docker containers on it. The VM argument is for security as it’s harder to escalate to the host from a VM than from an LXC.

If you do that, Docker is stuck on that host. If it’s in an LXC it can move to another host. Plus, backing up and snapshotting are easier IMO.

I’ve used Gnucash for investment accounting and market valuation. It’s got plenty of features for tracking personal investments.

GnuCash will do the sort of security trade accounting you’re talking about. I don’t know how GnuCash compares to the other offerings, but it can be fully offline and has a lot of features.

It’s extra protection, especially if you use non-browser apps on your devices it can limit tracking.

Be careful upgrading Docker versions, it has breaking changes.

https://registry.hub.docker.com/r/pihole/pihole/

It was the same in my house, with a 19" rack and old workstations. I’m downsizing to a 10" rack and so far it’s quieter and cheaper (in the long run!)

Electricity meter go brrrrr

I put on my robe and wizard hat.

Andy out here shooting straight through his foot and putting holes in his boat’s hull.

I’m still trying out combinations of hardware and models, but even my old Intel 8500T CPU will run around reading speed with a stock version of Meta’s Llama 3.2 3b (maybe the one you tried) with mostly good output—fine for rewriting content, answering questions about uploaded document stores etc.

There are thousands of models tuned for various purposes, so one of the key questions is your purpose. If you want to use your setup for something specific (e.g., coding SQL) you are going to be able to find a much more efficient model.

Well, no, not the same thing. This is a meta critique.

Like moths to an orange flame

Ollama and Open WebUI, as far as I know, are just open source software projects created to run pre-trained models, and have the same business model as many other open source projects on Github.

The models themselves come from Google, Meta and others. Have a look at all the models available on Hugging Face. The models themselves are just binary files. They’ve been trained and there are no ongoing costs to use them apart from energy your computer uses to run them.

I run Ollama with Open WebUI at home.

A) the containers they run in by default can’t access the Internet, but they are provided access if we turn on web search or want to download new models. Ollama and Open WebUI are fairly popular products and I haven’t seen any evidence of nefarious activity so far.

B) they create a profile on me and my family members that use them, by design. We can add sensitive documents that the models can use.

C) they are restricted by what we type and the documents we provide.

I’m on a XR and have the option.

FWIW I run only very small databases e.g., sqlite ones shipped with applications, but haven’t had any problems in about a year now, and nothing that wasn’t recoverable from backup.

Correct, I run docker on a compute host that has no local storage. The host’s disks are on iSCSI LUNs.

Exactly. Who did Popeye’s buy their chicken from?