nfs-subdir-external-provisioner VS helm

Using nfs-subdir-external-provisioner instead of csi-driver-nfs

I am trying to run sonarr inside my k3s cluster. Since I have multiple nodes, in order to keep data persistant I have been using a NAS and the Kubernetes NFS external provisioner as my Storage Class.

There's this, if you want your nfs storage available to pods as PVCs, with some limitations: https://github.com/kubernetes-sigs/nfs-subdir-external-provisioner

NFS Provisioner

Depends on how much resiliency you need . Something like https://github.com/kubernetes-sigs/nfs-subdir-external-provisioner works well for a lab or non-prod cluster. You could even use something like this in prod if you have access to highly reliably NFS mounts.

I first installed a NFS Server via this helm chart: https://github.com/kubernetes-sigs/nfs-subdir-external-provisioner Eventually I deployed Longhorn cause I needed expandable volumes, which the first repo doesn't support. I guess for best performance you should go for a ceph cluster, but I'm not an expert.

I used the NFS provisioner for persistent volumes until I got the Ceph side up and running. I created a share on my NAS specifically for k8s. It worked very well and had the bonus of being just a regular file system that you could browse/edit easily (just place files in or edit config). I would agree with not moving plex into k8s. I right now just have a barebones 1 control 2 worker setup using k3s.

However, is it too difficult to create new pods/deployments etc on your own? I find it super easy to just create a PVC (via https://github.com/kubernetes-sigs/nfs-subdir-external-provisioner ) and create a MySQL pod in a new namespace for every micro service I create.

This is what you need https://github.com/kubernetes-sigs/nfs-subdir-external-provisioner Point it to a folder and it will create subfolders for each PVC.

Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.

helm

Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...

Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.

Helm (Get from here https://helm.sh/)

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!

Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.

We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.

Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.