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Managed Kubernetes (EKS, GKE, AKS) starts at $70-150/month before you even add nodes. For personal projects, small startups, and learning, that’s unreasonable. In 2026, k3s on a cheap VPS gives you a fully functional production Kubernetes cluster for $6-10/month. Here’s the complete setup.
📋 Table of Contents
🔑 Key Takeaway
Managed Kubernetes (EKS, GKE, AKS) starts at $70-150/month before you even add nodes. For personal projects, small startups, and learning, that’s unreasonable.
What We’re Building
- k3s (lightweight Kubernetes) on a $6/month Hetzner or $4/month Contabo VPS
- Nginx Ingress Controller for routing
- cert-manager for free Let’s Encrypt TLS
- Helm for package management
- Prometheus + Grafana for monitoring (optional but recommended)
Choose Your VPS Provider
| Provider | Plan | Price/mo | Specs |
|---|---|---|---|
| Hetzner Cloud | CAX11 | $4.15 | 2 vCPU, 4GB RAM, 40GB SSD |
| Contabo | Cloud VPS S | $5.99 | 4 vCPU, 8GB RAM, 50GB NVMe |
| DigitalOcean | Basic Droplet | $6.00 | 1 vCPU, 1GB RAM — too small |
| Vultr | Regular 2GB | $10.00 | 1 vCPU, 2GB RAM, 55GB SSD |
Recommendation: Hetzner CAX11 at $4.15/month. Best specs per dollar, EU privacy laws, excellent network performance. Minimum 2GB RAM for k3s; 4GB recommended.
Initial Server Setup
# Connect to your VPS
ssh root@YOUR_SERVER_IP
# Update and install dependencies
apt update && apt upgrade -y
apt install -y curl wget git
# Set hostname
hostnamectl set-hostname k3s-prod
# Configure firewall (UFW)
ufw allow 22/tcp # SSH
ufw allow 80/tcp # HTTP
ufw allow 443/tcp # HTTPS
ufw allow 6443/tcp # Kubernetes API
ufw --force enable
Install k3s
# Install k3s (single command)
curl -sfL https://get.k3s.io | sh -s - --disable traefik --write-kubeconfig-mode 644
# Verify installation
kubectl get nodes
# NAME STATUS ROLES AGE VERSION
# k3s-prod Ready control-plane,master 30s v1.28.x+k3s1
# Get kubeconfig for local access
cat /etc/rancher/k3s/k3s.yaml
Copy the kubeconfig to your local machine, replace 127.0.0.1 with your server IP, and set KUBECONFIG=~/.kube/config.
Install Nginx Ingress Controller
# Install Helm first
curl https://raw.githubusercontent.com/helm/helm/main/scripts/get-helm-3 | bash
# Add ingress-nginx repo
helm repo add ingress-nginx https://kubernetes.github.io/ingress-nginx
helm repo update
# Install ingress controller
helm install ingress-nginx ingress-nginx/ingress-nginx --namespace ingress-nginx --create-namespace --set controller.service.type=LoadBalancer
# Verify
kubectl get svc -n ingress-nginx
# Should show EXTERNAL-IP (your server's public IP)
Set Up cert-manager for Free TLS
# Install cert-manager
helm repo add jetstack https://charts.jetstack.io
helm install cert-manager jetstack/cert-manager --namespace cert-manager --create-namespace --set installCRDs=true
# Create ClusterIssuer for Let's Encrypt
cat <<EOF | kubectl apply -f -
apiVersion: cert-manager.io/v1
kind: ClusterIssuer
metadata:
name: letsencrypt-prod
spec:
acme:
email: your@email.com
server: https://acme-v02.api.letsencrypt.org/directory
privateKeySecretRef:
name: letsencrypt-prod
solvers:
- http01:
ingress:
class: nginx
EOF
Deploy Your First Application
# Example: deploy a web app with TLS
cat <<EOF | kubectl apply -f -
apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app
spec:
replicas: 2
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: app
image: nginx:alpine
ports:
- containerPort: 80
---
apiVersion: v1
kind: Service
metadata:
name: my-app
spec:
selector:
app: my-app
ports:
- port: 80
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
name: my-app
annotations:
cert-manager.io/cluster-issuer: letsencrypt-prod
spec:
ingressClassName: nginx
tls:
- hosts:
- myapp.yourdomain.com
secretName: my-app-tls
rules:
- host: myapp.yourdomain.com
http:
paths:
- path: /
pathType: Prefix
backend:
service:
name: my-app
port:
number: 80
EOF
Add Monitoring with Prometheus + Grafana
helm repo add prometheus-community https://prometheus-community.github.io/helm-charts
helm install monitoring prometheus-community/kube-prometheus-stack --namespace monitoring --create-namespace --set grafana.adminPassword=YourPassword
Access Grafana: kubectl port-forward svc/monitoring-grafana 3000:80 -n monitoring
Production Checklist
- Enable automated OS security updates:
apt install unattended-upgrades - Set up k3s automatic upgrades with system-upgrade-controller
- Configure persistent storage with Longhorn (free, built for k3s)
- Set resource limits and requests on all pods
- Add a daily database backup via CronJob to object storage
- Set up uptime monitoring (Uptime Robot free tier)
Frequently Asked Questions
Q: What’s the difference between k3s and full Kubernetes?
A: k3s removes some optional features (cloud-provider integrations, legacy plugins) to reduce binary size from 1GB to 100MB. Everything core Kubernetes (pods, deployments, services, ingress, RBAC) works identically.
Q: Can this handle real production traffic?
A: Yes. The 4GB RAM Hetzner node handles 50-100 concurrent users comfortably for typical web apps. Scale by adding more nodes to the k3s cluster.
Q: How do I scale beyond one node?
A: Add agent nodes: curl -sfL https://get.k3s.io | K3S_URL=https://SERVER_IP:6443 K3S_TOKEN=NODE_TOKEN sh -. Each additional Hetzner node costs $4.15/month.
Q: What about data persistence?
A: Install Longhorn: helm install longhorn longhorn/longhorn --namespace longhorn-system. Provides replicated block storage across nodes.
Q: Is this suitable for a startup?
A: For early-stage startups, yes. Once you have revenue and need HA control plane, multi-region, or compliance requirements, migrate to a managed service. Starting cheap on k3s is entirely reasonable.
Conclusion
A production-ready Kubernetes cluster running at $4-10/month on Hetzner with k3s is completely viable in 2026. You get real Kubernetes features (Helm packages, Ingress, cert-manager, monitoring), free TLS certificates, and genuine production capabilities without the managed cloud premium. For personal projects, indie developers, and early-stage startups, this setup provides everything needed to deploy and scale real applications.
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