K3s + MicroK8s: When You Stop Arguing About Which Kubernetes to Use — and Start Combining Them

Ask around in DevOps circles and you’ll hear it: “K3s is great for edge.” Or “MicroK8s just works for local dev.” Both are lightweight Kubernetes distributions, sure — but what’s more interesting is how well they complement each other when used in tandem.

They’re not competitors. Not really. One thrives in tiny environments, the other scales quietly in CI/CD pipelines and air-gapped networks. The real value? You use each where it shines, and suddenly your Kubernetes workflow becomes a lot more flexible — and faster to deploy.

K3s: Small, Quiet, Surprisingly Capable

K3s feels like Kubernetes after someone trimmed the fat. One binary. Few moving parts. It’s been running on Raspberry Pis, edge appliances, low-end VPS boxes — and still behaves like a “real” cluster.

If you’re tired of wrestling with kubelet configs or don’t want to install Docker at all, K3s is a relief. It skips the extras, brings along containerd, and doesn’t care if you’re running x86 or ARM. Great for CI runners, edge workloads, or even just local dev where full kubeadm would be overkill.

MicroK8s: Modular, Predictable, and Built for Repeatability

Now flip to the other side. MicroK8s, from Canonical, leans into the Ubuntu ecosystem — snap packages, role-based add-ons, auto-updates. It’s heavier than K3s, but in return you get a cluster that can scale up, run Prometheus, or hook into LXD or cloud VMs without hacking around.

You want Istio or Linkerd? Turn it on. Need Helm or the dashboard? One command. It’s Kubernetes, with batteries included, but not glued in. Great for staging environments, student clusters, or teams who want full-featured K8s without kubeadm drama.

Why Run Both?

Here’s the thing: you don’t have to pick just one. K3s and MicroK8s actually work better together than either alone in many setups.

Think dev to prod. Run MicroK8s on your laptop or in your QA cloud. It gives you the full feature set for testing charts, metrics, and ingress. Then deploy to K3s on the edge — same app, less bloat.

Or imagine central workloads in a MicroK8s cluster (with DNS, monitoring, log forwarding) and remote jobs syncing with K3s at client sites or field hardware. Push Helm releases from one to the other. Keep parity without cloning complexity.

They speak the same language. kubeconfig works. kubectl behaves. The difference is in size, scope, and what you need each node to do.

The Payoff: Less Lock-in, More Freedom

– Develop and test with more power, but deploy lean

– Scale fast without reconfiguring everything

– Ship the same apps to very different environments

– Keep CI/CD light by dropping fast K3s workloads into pipelines

– Use MicroK8s as a control plane, and K3s for field-level execution

It’s not about unifying into one cluster. It’s about knowing when to use which, and giving yourself options.

Last Thoughts

If your infrastructure lives across cloud, bare metal, and weird little IoT boards — this pair is one of the best moves you can make. K3s handles the rough edges. MicroK8s brings consistency where you need it. And neither expects you to set up etcd by hand just to say hello.

Sometimes the smartest move isn’t picking the “right” tool. It’s using both — on purpose.