Use PodWarden to manage your homelab infrastructure — deploy self-hosted apps across multiple nodes with built-in networking, backups, and GPU scheduling.

Homelab Deployment Manager

Running a homelab is rewarding but managing it gets complex fast. One machine turns into three, Docker Compose files multiply, and suddenly you're SSH-ing into different boxes to restart services, check logs, and update containers. PodWarden brings order to homelab infrastructure by providing a single management plane for your entire fleet.

The Homelab Problem

A typical homelab evolves organically:

A mini PC running Home Assistant and Pi-hole
A NAS with Jellyfin and Nextcloud
A GPU server for AI inference or media transcoding
Maybe a cheap VPS for external-facing services

Each machine runs its own Docker Compose stacks, has its own networking config, and needs individual maintenance. There's no central view of what's running where, no coordinated backups, and no way to move workloads between machines when hardware changes.

How PodWarden Solves It

Unified Fleet Management

PodWarden discovers all your homelab machines via Tailscale and provisions them into K3s clusters using Ansible. From one dashboard, you see every host's health, resource usage, and running workloads. No more SSH-ing into individual machines — manage everything centrally.

Add a new machine to your homelab by connecting it to your Tailscale network. PodWarden discovers it, you click to provision, and it joins your cluster automatically. Remove a machine by draining its workloads first — they reschedule to other nodes.

One-Click App Deployment

PodWarden's template catalog includes 100+ self-hosted applications pre-configured for K3s deployment. Each template includes:

Sensible resource limits (CPU, memory)
Volume mounts for persistent data
Environment variable schemas with descriptions
Health checks and restart policies
Network port configurations

Deploy Jellyfin, Home Assistant, Nextcloud, Immich, or any other popular self-hosted app with proper Kubernetes configuration — no writing YAML manifests by hand.

Built-in Networking

Self-hosting from home means dealing with dynamic IPs, port forwarding, and TLS certificates. PodWarden handles all of this:

Caddy ingress: Automatic reverse proxy with TLS certificate provisioning
DDNS management: Dynamic DNS updates when your home IP changes
Domain routing: Map jellyfin.yourdomain.com to the right service automatically

No separate Nginx Proxy Manager, no manual Cloudflare DNS updates, no Let's Encrypt renewal scripts.

GPU-Aware Scheduling

If you have a GPU server in your homelab (for Ollama, Stable Diffusion, Plex transcoding, or Frigate NVR), PodWarden discovers the GPU hardware and schedules workloads appropriately. Request a GPU in your workload definition, and PodWarden places it on a node with available GPU resources.

Automated Backups

PodWarden's Restic-based backup policies protect your homelab data. Define backup schedules for your persistent volumes, configure hot (fast local) and cold (off-site S3) storage targets, and PodWarden handles the rest. Browse and restore snapshots from the dashboard when you need them.

Example: 3-Node Homelab

Here's a typical PodWarden-managed homelab:

Node	Hardware	Role	Workloads
node-1	Intel NUC, 32GB RAM	General services	Home Assistant, Pi-hole, Nextcloud, Vaultwarden
node-2	Synology NAS + K3s agent	Storage-heavy	Jellyfin, Immich, Paperless-ngx
node-3	RTX 4090 workstation	GPU workloads	Ollama, Stable Diffusion, Frigate NVR

PodWarden manages all three as a single K3s cluster. Longhorn provides distributed storage across nodes. Caddy handles ingress for all services. Backups run nightly to a local NAS target and weekly to off-site S3.

Getting Started

Install PodWarden on any machine in your network (Docker Compose)
Connect your hosts to a Tailscale network for discovery
Provision hosts — PodWarden uses Ansible to install K3s
Create a cluster — group your nodes into a K3s cluster
Deploy apps — browse the template catalog and install

Your homelab goes from a collection of independent machines to a managed infrastructure platform in under an hour.

Why K3s for Homelabs

You might wonder why Kubernetes for a homelab. K3s makes it practical:

Lightweight: Runs on a Raspberry Pi with 1GB RAM
Single binary: No complex multi-component installation
Certified: Full Kubernetes API compatibility
Self-healing: Crashed containers restart automatically
Scheduling: Workloads placed on nodes with available resources

PodWarden abstracts the Kubernetes complexity so you get the benefits (scheduling, self-healing, distributed storage) without writing YAML or running kubectl commands.