So would this work well e.g. with the the *arr stack? Because most of the services wouldn’t even need to run always

I’m intrigued! But how does it compare to React which is pretty straight forward? I’m not a frontend dev so what’s really great about React is that it works super well with LLMs.

Thanks! Super helpful and I’d love to have the compose and install script. I also looked into the Helm charts but still wondering if I should go down that route or not eventually.

Thanks! What about CPU usage, how many CPUs did you assign to the environment you run the container in?

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Thanks! What resources are you running it on? I’m looking into a VPS that could host it and ChatGPT recommends 4-8 vCPUs and 16 GB Ram, which sounds reasonable. But let’s say I’m running it on k8s does that leave any room for e.g. running other services on the same cluster?

Thank you! I’m running a Servarr over Docker Compose, and have managed some Kubernetes clusters in the past (although poorly tbh). Any idea how complicated that is in comparison? Also, do you use their Helm charts?

I would deploy the whole app over k8s Helm charts and I would want to use the CI/CD tools and also do Traefik/Ingress for load balancing and having cloudflare point at it. In the future I might be collaborating with other people so I would want the architecture to be solid.

I would actually want to use it to integrate with k8s. I would deploy the app on Kubernetes and do load balancing + pointing at a Cloudflare domain so I would need the whole thing to be solid. I think I do need a lot of the features, but I don’t think I necessarily need to have GitLab if something FOSS could offer the same.

Thanks! May I ask what kind of setup you were running and if there’s any feature you might be missing that existed in GitLab but doesn’t in Forgejo?

Thanks! This looks actually really interesting. Did you try doing CI/CD with it? In future I would probably collaborate with others who’d be also using my self-hosted Git. What would be critical for me is that I can set it up in a way that once I open a PR that branch automatically gets deployed to a dev Kubernetes environment and when I merge with main that it automatically deploys to staging and only when I release a tag the branch would end up in prod. Also I’d like to do secrets management over the platform. I like that Forgejo would be non-commercial and I would prefer it over GitLab if it can do these things well.

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Ahaha I guess that must be the default of my client then

Yeah it’s pretty amazing that there’s kinda no algorithm, you just see what you subscribe to in chronological order

Yeah it’s an M1 16GB, sounds awesome I’ll try, thanks a lot for the guide it’s super helpful. I just got the Mac Mini for jellyfin but this is an unexpected use case where the server comes in very handy.

I run a Mac Mini as a home server because it’s great for hardware transcoding, I was wondering if I could host an LLM locally. I work with python so that wouldn’t be an issue but I have no idea how to do CUDA or work on low level code. Is there anything I need to consider? Would probably start with a really small model.

Very interesting. How secure is this against having a compromised device? I‘m really paranoid that someone would somehow have a backdoor into my systems and snatch stuff I host on my own