Hi all, I’ve been venturing for months in this amazing self-hosted hobby and for the last couple of days I’m reading and trying to understand kubernetes a bit more, I’ve followed this article :
that helps you set up the lightweight Kubernetes version (K3s) and use Portainer as your management dashboard, and it works flawlessly, as you guys can see I’m just using two nodes at the moment.
And I’m using “helm” to install packages and the site ArtifactHUB to get ready to use repository to add into portainer Helm section (still in beta) but works flawlessly, I’ve installed some packages and the apps works just as I expected, but there’s seem to be a shortage of ready to use repository as it’s the case with docker alone, like with Plex the only way I got plex running in K3s is with KubeSail with offers an unofficial apps section that includes plex and tons of other well known apps, but strangely enough there are labeled unofficial but still works perfect when installed, but portainer would label all apps installed from KubeSail as external.
Now I think I get the use of kubernetes, it’s to have several nodes to use as recourses for your apps and also like a load balance if one node fails your services/apps can keep on running? (like raid for harddisks?)
All tough it was fun learning atleast the basic of Kubernetes with my two nodes, is it really necessary to go full blown out with only kubernetes? Or is Docker just fine for the majority of us homelad self hosted folks?
And is what I’m learning here the same in enterprise environments? Atleast the basics?
Kubernetes adds a lot of complexity. In return, it allows various teams in your company to work mostly independently, so that your software stack can mirror your org chart better. It trades latency for scalability (adds network calls to things that could have been local function calls). If your “home lab” isn’t serving millions of users, you don’t need Kubernetes to run it.
That said, you might be using your home lab partly as practice for a job at a large company where the tradeoffs of Kubernetes make sense (or at least someone thought they made sense and started using it, which is more common). That means using it at home can provide valuable self training, since you can screw around and not take down the production cluster for anyone other than yourself.