I am right there with you. I am not pro-AI either. For non critical projects, I am less against it than for something like core systems, kernel, and such. It is great for log analysis. Taking tons of data and reporting back information I would rather not skim through line by line.

That and like you said, let’s take ethical and environmental concerns out for this. Because those are a whole other issue.

I think if it is used like a tool, and we can get it’s environmental impact under control it can be great used like the tool it is.

Albeit hesitant due to AI use; I may investigate using this.

Currently I have one Docker host. I want to split my containers across 2 hosts. Both just small form factor PCs. (Lenovo, forget the exact model. But each have 16gb of DDR4 and an i5. One is 8th gen, and the other I have to double check. The one I haven’t setup yet has an Nvidia card of sorts. I want to offload media services onto that one.)

Anyways, on to the breakdown:

Containers:

• Technitium (DNS)
• DNSWeaver (DNS from Labels)
• Caddy (with custom plugins Caddy-Docker-Proxy mainly)
• WG-Easy (Wireguard VPN)
• DDNS container
• Authentik (SSO Provider)
• Signal-CLI
• Molly Socket
• Multiple Docker Socket Proxy containers
• SearXNG
• Uptime Kuma
• Vaultwarden
• WUD
• Speedtest Tracker
• Dozzle
• Forgejo
• FMD (Find my device)
• Bookstack
• Syncthing
• Vikunja (Kanban board)
• Navidrome
• Maloja
• Audiomuse
• Doku
• Jellyfin
• FreshRSS
• Nextcloud
• beets
• Komga
• Lyrica (with some custom scripting to search my music for matching LRC files)
• Homepage
• Ntfy

Next up I want to add Autokuma. However, I am going to split these containers onto another machine yet.