k3s vs k0s: Which Lightweight Kubernetes?

Quick Verdict

k3s is the better choice for most self-hosters. It’s more mature, has a larger community, includes a built-in ingress controller (Traefik), and has broader ecosystem support. k0s is a strong alternative if you want a cleaner separation of concerns or prefer to choose your own networking stack. Both are production-grade single-binary Kubernetes distributions — you won’t go wrong with either.

Overview

k3s is a lightweight Kubernetes distribution created by Rancher Labs (now part of SUSE). It packages Kubernetes into a single binary under 100 MB, replacing etcd with SQLite by default, and bundles Containerd, Flannel CNI, Traefik ingress, CoreDNS, and a local storage provider. It’s a CNCF Sandbox project and widely used in production for edge computing, IoT, and homelab environments.

k0s is a lightweight Kubernetes distribution from Mirantis. Like k3s, it ships as a single binary with zero external dependencies. It bundles containerd, Kube-Router, CoreDNS, and Metrics Server. k0s positions itself as “zero friction Kubernetes” with documented minimum requirements of 1 GB RAM and 1 vCPU.

Both track upstream Kubernetes closely — current stable versions are based on Kubernetes 1.35.

Feature Comparison

Featurek3s (v1.35.1+k3s1)k0s (v1.35.1+k0s.0)
Single binaryYes (~100 MB)Yes
Bundled ingressTraefik (included by default)None (bring your own)
Default CNIFlannelKube-Router
Default storage backendSQLite (single node), etcd3 (HA)SQLite (single node), etcd (multi-node)
Container runtimecontainerdcontainerd
External DB supportetcd3, MySQL, MariaDB, PostgreSQLetcd, MySQL, PostgreSQL
Multi-archx86_64, ARM64, ARMv7x86_64, ARM64, ARMv7, RISC-V
Minimum RAM~512 MB (practical)1 GB (documented)
Helm controllerBuilt-inVia extension
Auto-updatesVia system-upgrade-controllerVia autopilot
Airgap installSupportedSupported
Windows nodesExperimentalNot supported
LicenseApache 2.0Apache 2.0

Installation Complexity

Both are remarkably simple to install compared to full Kubernetes distributions.

k3s installs with a single command:

curl -sfL https://get.k3s.io | sh -

That’s it. After ~30 seconds you have a fully functional Kubernetes cluster with Traefik, CoreDNS, and a local storage provider ready to go. Add worker nodes with:

curl -sfL https://get.k3s.io | K3S_URL=https://server:6443 K3S_TOKEN=<token> sh -

k0s has a similar one-liner:

curl -sSLf https://get.k0s.sh | sudo sh
sudo k0s install controller --single
sudo k0s start

k0s requires one extra step (explicit install + start), but the result is the same — a working cluster in under a minute. Add workers with:

# On controller: generate a join token
sudo k0s token create --role=worker

# On worker:
sudo k0s install worker --token-file /path/to/token
sudo k0s start

Key difference: k3s gives you a more “batteries included” experience. With k3s, you deploy an app and it’s immediately accessible through Traefik. With k0s, you need to install an ingress controller yourself. For self-hosters who want to get running fast, k3s has the edge.

Performance and Resource Usage

Both are designed for constrained environments, but their resource profiles differ slightly.

k3s:

  • Server node: ~512 MB RAM minimum, 1 vCPU
  • Agent node: ~256 MB RAM minimum
  • SQLite backend keeps storage overhead minimal for small clusters
  • Scales well to hundreds of nodes in production

k0s:

  • Controller node: 1 GB RAM minimum (documented), 1 vCPU
  • Worker node: 0.5 GB RAM minimum (documented)
  • Slightly higher baseline due to bundled Metrics Server
  • Designed for edge/IoT with documented resource requirements

In practice, both run comfortably on a Raspberry Pi 4 (4 GB) or a small VPS. For single-node homelab use, k3s tends to have a slightly smaller memory footprint because it doesn’t bundle the Metrics Server by default.

Community and Support

Metrick3sk0s
GitHub stars~29K+~3.5K+
Backed bySUSE/RancherMirantis
CNCF statusSandbox projectSandbox project
DocumentationExtensive, well-maintainedGood, more concise
Community sizeVery large (Slack, forums, Reddit)Smaller but active
Third-party guidesAbundantGrowing
Rancher integrationNativeVia import

k3s has roughly 8x the GitHub stars and a significantly larger community. This translates to more tutorials, troubleshooting guides, and community-maintained Helm charts that are tested against k3s specifically.

Use Cases

Choose k3s If…

  • You want batteries-included Kubernetes with minimal setup
  • You’re new to Kubernetes and want the most community support
  • You need Traefik ingress out of the box
  • You’re running a homelab or edge cluster
  • You want Rancher integration for management UI
  • You need the broadest ecosystem compatibility

Choose k0s If…

  • You prefer to choose your own CNI and ingress controller
  • You want documented, predictable resource requirements
  • You need RISC-V support
  • You prefer k0s’s controller/worker architecture separation
  • You want the autopilot update mechanism
  • You’re building an appliance where you control the full stack

Final Verdict

k3s is the default recommendation for self-hosters. Its larger community, included Traefik ingress, Helm controller, and extensive documentation make it the path of least resistance to running Kubernetes at home or on edge devices. When something goes wrong, you’re far more likely to find a k3s-specific answer.

k0s is a legitimate alternative for users who want more control over their stack. Its clean separation of concerns (no bundled ingress, bring-your-own CNI) appeals to experienced operators who have opinions about their networking layer. The documented minimum requirements are also helpful for capacity planning.

For most self-hosting use cases — running a handful of services on a mini PC or VPS — k3s gets you from zero to production faster.

Frequently Asked Questions

Is k3s “real” Kubernetes?

Yes. k3s is a certified Kubernetes distribution. It passes the CNCF conformance tests. Any Kubernetes manifest or Helm chart that works on full Kubernetes works on k3s.

Can I migrate between k3s and k0s?

Your workloads (deployments, services, configmaps) are standard Kubernetes objects that work on either. The migration involves setting up a new cluster and reapplying your manifests. Persistent data requires volume migration.

Do I need Kubernetes for self-hosting?

For most self-hosters, Docker Compose is simpler and sufficient. Kubernetes makes sense if you’re running 10+ services, want automatic failover, or need to manage multiple nodes. Start with Docker Compose and graduate to Kubernetes when you outgrow it.

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