βοΈ Choosing Between Proxmox, TrueNAS & Kubernetes for Homelabs
Platform comparison and decision guide for homelab infrastructure
Quick Comparison Matrix
| Criterion | Proxmox VE | TrueNAS | Kubernetes (k3s) | Bare Docker |
|---|---|---|---|---|
| Learning Curve | Moderate | Moderate | Steep | Easy |
| Resource Overhead | ~2-3GB RAM | ~4-6GB RAM | ~1-2GB (k3s) | Minimal |
| Multi-Node | Native clustering | Native clustering | Purpose-built | Manual setup |
| Storage Integration | Good | Excellent | Via CSI | Via volumes |
| GUI Experience | Excellent web UI | Excellent web UI | Kubectl only | Portainer optional |
| HA / Clustering | Built-in | Built-in | Built-in | Not supported |
Platform Deep-Dives
π₯οΈ Proxmox VE
Type: Hypervisor + Container Platform (Type 1 bare-metal hypervisor)
Best For: Mixed workloads, VM + LXC containers, learning infrastructure
Pros
- Unified management UI for VMs and containers
- Excellent clustering support (3+ nodes recommended)
- Low learning curve for sysadmins coming from VMware
- Native HA with automatic failover
- Large community and extensive documentation
Cons
- Higher CPU overhead than bare Docker
- Complexity scales with cluster size
- License cost for enterprise support (though free community version available)
Typical Homelab: 2-4 nodes, mixed VMs + LXC containers, ~64GB total RAM
πΎ TrueNAS
Type: Storage appliance + Kubernetes cluster (TrueNAS SCALE)
Best For: Storage-first deployments, NAS + containers, ZFS enthusiasts
Pros
- Exceptional storage integration with ZFS
- Kubernetes-native (TrueNAS SCALE uses k3s under the hood)
- Excellent web UI with comprehensive controls
- Active directory / SMB sharing out of the box
- Large ecosystem of community applications
Cons
- Higher resource footprint (4-6GB RAM minimum)
- Steep learning curve for ZFS concepts
- Opinionated ecosystem (sometimes feels limiting)
Typical Homelab: 1-2 nodes with large disk arrays, shared NAS + app containers, ~128GB RAM total
βΈοΈ Kubernetes (k3s / k0s)
Type: Container orchestration platform
Best For: Container-only workloads, learning Kubernetes at scale, multi-node deployments
Pros
- Industry-standard orchestration (skills transfer to production)
- k3s lightweight variant: ~512MB overhead
- Native multi-node, HA, and auto-failover
- Declarative configuration (GitOps friendly)
- Large ecosystem and community support
Cons
- Steep learning curve for newcomers
- Kubectl-only control plane (no native web UI)
- Overkill for simple workloads (<5 containers)
- Requires external load balancer for production-grade HA
Typical Homelab: 3-6 nodes, 100+ microservices, ~4-8GB RAM per node
π³ Bare Docker + Docker Compose
Type: Container runtime + orchestration
Best For: Single-node deployments, learning containers, rapid prototyping
Pros
- Minimal overhead, maximum resource efficiency
- Simple learning curve for beginners
- Fast iteration and development
- Compose files for IaC (Infrastructure as Code)
Cons
- No native clustering or HA
- Manual orchestration at scale
- Limited monitoring and observability
- Doesn't teach production Kubernetes patterns
Typical Homelab: 1 node, <20 containers, ~2-4GB RAM
Decision Tree
How to Choose:
- How many nodes do you have (or plan for)?
- Just 1: Use Bare Docker or single-node k3s
- 2-3: Consider Proxmox or k3s
- 4+: Kubernetes or Proxmox clustering
- What's your workload?
- Storage-first (NAS): TrueNAS SCALE
- Mixed VMs + containers: Proxmox
- Containers only: k3s or Bare Docker
- What's your experience level?
- New to infrastructure: Start with Bare Docker or Proxmox
- Some Linux experience: k3s or TrueNAS
- Production sysadmin: k3s or Proxmox
- Do you need HA (High Availability)?
- No: Bare Docker is fine
- Yes: Proxmox, TrueNAS, or k3s (3+ nodes)
Hybrid Approaches
Many homelab operators run multiple platforms in parallel:
- Proxmox VM running k3s: Learn Kubernetes without dedicated hardware
- TrueNAS + Bare Docker on separate node: Storage isolation + lightweight apps
- Proxmox + Docker Compose: VMs for state-heavy workloads, containers for microservices
Recommendation: Start with one platform, then add others as your needs grow.