Infrastructure Nodes

AdGuard Home, Traefik, Cloudflare Tunnel, WireGuard, Authelia

This node provides core network services. AdGuard Home filters ads and trackers at the DNS level, Traefik manages reverse proxying and TLS, Cloudflare Tunnel securely exposes services without port forwarding, WireGuard enables encrypted remote access, and Authelia adds multi-factor authentication for protected services.

Proxmox Backup Server

Dedicated backup node running Proxmox Backup Server to provide fast, deduplicated, and encrypted backups for all Proxmox hosts and containers.

Home Assistant OS, TP-Link Tapo Integration

This node hosts Home Assistant OS for full smart home automation, including TP-Link Tapo device integration for lighting, sensors, and automation workflows.

Plex, Sonarr, Radarr, Prowlarr, Overseerr

Media automation and streaming node. Plex handles media playback, while Sonarr, Radarr, and Prowlarr automate content acquisition. Overseerr provides a user-friendly request interface.

Immich (server + machine learning)

Dedicated photo management node running Immich for high‑performance photo storage, AI-powered tagging, facial recognition, and machine learning indexing.

Portainer, Grafana, Prometheus, Uptime Kuma, Gitea

Monitoring and DevOps node. Prometheus collects metrics, Grafana visualizes dashboards, Uptime Kuma monitors service availability, Portainer manages containers, and Gitea provides lightweight Git hosting.

Rewards App, Postgres

Web application node hosting your Rewards App along with a dedicated Postgres database backend for reliable and scalable data storage.

qBittorrent, Recyclarr

Download automation node running qBittorrent for torrent management and Recyclarr for automated syncing of media quality profiles with Sonarr and Radarr.

Ollama, Open WebUI

This node is dedicated to running local AI models using Ollama, providing fast, private inference without relying on cloud services. Open WebUI offers a clean, user-friendly interface for interacting with models, managing prompts, and running workflows. Upgrading to 16GB RAM ensures smooth performance for larger LLMs and multimodal models.