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How k3s Solved the Problem of Running Kubernetes on a Busy Home Server

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A developer sought a persistent Kubernetes learning environment without the ongoing cost of Amazon EKS, whose control plane alone runs at $0.10 per cluster-hour before additional infrastructure charges. The solution was deploying k3s on an always-on Intel N100 home server running Debian, which already hosted 28 Docker containers across 16 GiB of RAM. k3s was chosen over MicroK8s and k0s because it runs natively on Debian, requires only 2 CPU cores and 2 GB of RAM, and allows fine-grained control over resource reservations and bundled components. The single-node cluster was designed to coexist with existing workloads rather than replace them, keeping the host's other services intact. A pre-installation audit script was written to document the server's existing state, ensuring Kubernetes could be introduced without disrupting the machine's current responsibilities.

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