kubernetes
Production-Grade Container Scheduling and Management
The Lens
By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.
Updated Aug 2026
Running containers on one machine is easy. Running them across a fleet, surviving failures and traffic spikes, is not. Kubernetes is the operating system for that. It takes your containers and distributes them across a cluster of machines, handles networking between them, restarts crashed processes, and scales up when traffic spikes.
What's free: Everything. Apache 2.0 license. The entire Kubernetes project is free and open source: API server, scheduler, controller manager, kubelet, kubectl. No enterprise edition, no gated features.
Kubernetes won. Every cloud provider offers a managed version, every DevOps engineer is expected to know it. The ecosystem (Helm, Istio, Argo, Prometheus) is massive. If you're building cloud-native infrastructure, K8s is the platform everything else runs on.
The catch: complexity. Kubernetes has a brutal learning curve. A production cluster needs monitoring, logging, ingress controllers, cert management, RBAC policies, network policies, storage classes. The list doesn't end. Running your own control plane is a full-time job. Most teams should use a managed service (EKS, GKE, AKS) and even then, you need someone who understands K8s deeply.
Free vs Self-Hosted vs Paid
fully freeWhat's Free
Everything. The entire Kubernetes project is Apache 2.0 licensed. No paid tier, no enterprise edition. Every feature CNCF ships is free.
Self-Hosting Cost (Running Your Own Control Plane)
- Home lab/dev: Minikube or kind on your laptop. $0.
- Small production: 3 control plane + 3 worker nodes. On bare VPSes: $60-180/mo.
- Medium production: 5+ nodes with monitoring, logging, and ingress. $200-1,000/mo.
- You're also paying for: monitoring (Prometheus/Grafana), logging (Loki), ingress (nginx), cert-manager, etc.
Managed Kubernetes (What Most Teams Should Use)
- EKS (AWS): $0.10/hr (~$73/mo) per cluster + EC2 node costs.
- GKE (Google): Free tier for 1 Autopilot cluster. Standard: $0.10/hr per cluster.
- AKS (Azure): Free control plane. You pay only for nodes.
- DigitalOcean: $12/mo for the control plane + $12+/mo per node.
The Real Cost
Kubernetes itself is free. The infrastructure to run it is not. And the engineering time to operate it is the biggest cost of all. A team spending 20 hours/month on K8s ops at $100/hr = $2,000/mo in labor. Managed services reduce this dramatically.
When Self-Hosting Makes Sense
Almost never for the control plane. Use managed K8s. Self-host only if you're on bare metal, have compliance requirements, or are running at massive scale where managed service fees add up.
Software is free. Managed clusters cost $12-73/mo for the control plane plus node costs. The real expense is engineering time to operate it.
What to do by team size
- Solo
- Don't. Use Docker Compose, Railway, or Fly.io. K8s is extreme overkill for one person
- Small team
- Managed K8s (DigitalOcean or GKE Autopilot) if you genuinely need it. Most small teams don't
- Medium team
- This is where K8s starts making sense. Use managed. Dedicate 1-2 engineers to platform work
- Large team
- Standard infrastructure. Dedicated platform team, managed control plane, custom operators for your workloads
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License: Apache License 2.0
Use freely. Patent grant included.
Commercial use: ✓ Yes
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