Most people dont need rolling release, 24/7 availability, auto scaling, etc.. on their home server, so managing k8s just add way more complexity. My main reason to not use is because I would need to host a artifact service somewhere else which is PITA. Some k8s runtime support local building but is not as easy as compose in my experience.
> Most people dont need rolling release, 24/7 availability, auto scaling, etc..
That's perfectly fine. That's not the reason why you are better off running your apps in Kubernetes though.
You are better off running your apps in Kubernetes because it handles everything you ever need to effortlessly run containerized apps. You don't even need to install tooling or deployment tools or anything at all. You can have a single kustomize script that defines your services and deployments, have in place an ingress and Let's Encrypt, and you're done. You don't need to bother with anything else. Just run kubectl apply and go grab a coffee.
Hey that is not true, at least last time I tried I spent considerable time trying to integrate a bare metal load balancer from a 9 stars github repo plugin because apparently exposing the port is not recommended. Also having the master and the node in the same server can be problematic because by design it shouldnt be like.
One last point, the runtime ram and cpu overhead is far from minimal.
> Hey that is not true, at least last time I tried I spent considerable time trying to integrate a bare metal load balancer from a 9 stars github repo plugin because apparently exposing the port is not recommended.
You sound like you tried to put together an ad-hoc ingress controller without knowing what an ingress controller is and why abusing NodePort is a mistake in the context of a cluster.
> Also having the master and the node in the same server can be problematic because by design it shouldnt be like.
You should look at the problem to see if an approach makes sense. If you're using vanilla Kubernetes on a one-box deployment then you're abusing a large-scale high-scalable cluster management system by shoving it into a single box. It can work, but most of the resources will be wasted on managing your cluster of one node.
There are plenty of Kubernetes distributions that are designed to handle well small clusters, and even one-box systems. Minikube, microk8s, and even k3s come to mind. I'm partial towards microk8s because installing it is just a matter of installing a single package from the distro's official repository.
