Tools/k3s-io/k3s

K3s

Lightweight Kubernetes

34.0k+16/wkgrowthGoApache License 2.0trending

The Lens

By Erik Loyd, SaaS CEO and former COO/CFO of an AWS Premier Partner.

Updated Mar 2026

K3s runs production Kubernetes in 100MB of RAM, packaged as a single binary under 70MB. Same Kubernetes API, same kubectl commands, same ecosystem, just without the components most people never touch. It runs on everything from a Raspberry Pi to production cloud servers. Fully free under Apache 2.0. No paid tier, no enterprise version, no feature gating. SUSE/Rancher maintains it, and they make money on Rancher (the multi-cluster management layer), not K3s itself.

Installation is a one-liner: curl -sfL https://get.k3s.io | sh -. You have a running Kubernetes cluster in under 60 seconds. Adding worker nodes is equally simple. It bundles containerd, Flannel (networking), CoreDNS, and Traefik (ingress) so you don't have to install them separately.

Solo developers: this is the easiest way to run Kubernetes locally or on a single VPS. Small teams: production-ready for most workloads. Growing teams: use it. It's the same Kubernetes, just lighter.

The catch: K3s uses SQLite by default instead of etcd, which means single-node setups aren't highly available. For HA, you'll switch to an external Postgres/MySQL database or embedded etcd, which adds complexity back. Also, some enterprise Kubernetes tools assume full K8s and might not work out of the box.

Free vs Self-Hosted vs Paid

fully free

Free

Everything. K3s is a fully conformant Kubernetes distribution; it passes the same CNCF conformance tests as full Kubernetes. All bundled components (containerd, Flannel, CoreDNS, Traefik, local-path storage) are free.

Self-Hosted (Only Option)

K3s runs wherever Linux runs. Minimum requirements: 512MB RAM for a server node, 1 CPU. Recommended: 2GB+ RAM, 2+ CPU for production workloads. That's a $5-20/mo VPS.

Infrastructure Costs

  • Single node: $5-20/mo VPS. Good for dev/staging and small production workloads.
  • 3-node HA cluster: $30-60/mo total. Production-ready with node failure tolerance.
  • Edge deployments: runs on Raspberry Pi ($35-75 hardware cost, zero ongoing).

Cost Comparison

  • Managed Kubernetes (EKS, GKE, AKS): $70-150/mo just for the control plane, before any worker nodes.
  • K3s: $0 for the software. Your only cost is the VMs.

Verdict

The cheapest way to run production Kubernetes. $10-20/mo for a useful cluster vs $200+/mo for managed alternatives.

Free. Run production Kubernetes on a $10/mo VPS. Saves $70-150/mo vs managed Kubernetes control plane fees alone.

What to do by team size

Solo
The best way to learn and run Kubernetes. One command to install.
Small team
Production-ready for most workloads. Set up HA with 3 nodes for reliability.
Medium team
Pair with Rancher for multi-cluster management. K3s handles the cluster, Rancher handles the fleet.
Large team
Proven at scale by Rancher/SUSE customers. Consider managed K8s if your platform team wants vendor support.
Self-hosting ops:moderate

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