I've learned the Kubernetes and Helm basics and want to build a home lab that teaches me the kinds of workflows I may encounter professionally. I have three PCs available, although I'm considering starting with one and adding the others later. My goal is to practice more than simply running a cluster: I'd like to deploy applications and services, configure Ingress, manage persistent storage, set up monitoring and logging, and build a CI/CD workflow. I'm also interested in running a small number of workloads such as Prometheus, Grafana, PostgreSQL, and Redis. Would you begin with a single-node cluster and expand to three nodes, or start with multiple nodes immediately? Which components are genuinely useful for learning a realistic environment rather than just adding complexity?
4 Answers
You can make one physical machine behave like a small cluster by installing a hypervisor such as Proxmox and creating several virtual machines: one control-plane VM and a few worker VMs. This lets you practice multi-node operations immediately while using only one PC. Later, you can add the other physical machines and redistribute the nodes.
Try to keep the first version small and purposeful. A lightweight cluster with an Ingress controller, a storage solution, monitoring, logging, and one or two applications will teach you more than installing every available platform component. Add PostgreSQL or Redis only if you have an application that uses them, and make sure you practice backups and recovery for any persistent data.
That matches what I had in mind. I’m planning to run only a few workloads, including monitoring for the cluster and perhaps PostgreSQL and Redis for a client application.
A home cluster can teach Kubernetes concepts, but it probably won’t perfectly match a company environment. Many organizations use a managed Kubernetes service, with internal deployment platforms and CI/CD abstractions layered on top. A useful learning path would be to build a small web application, create separate development and production environments, deploy it through CI/CD, configure DNS and Ingress, and then compare the local setup with a managed cloud cluster.
That makes sense. I’m mainly trying to understand the surrounding tools and workflows rather than reproduce a company’s infrastructure exactly. I’ll include separate environments and a deployment pipeline in the lab.
K3s is a good starting point. It’s lightweight, quick to install, and still gives you the core Kubernetes experience. You can get your applications and supporting tools running first, then expand the setup as you learn more.
That sounds like a practical way to get started without spending all my time building the platform itself. I’ll take a closer look at K3s.
I had been considering something similar, but I need to learn how Proxmox works first. It could be a useful way to practice cluster operations before adding more hardware.