charts VS metallb

Spinning up workloads in kubernetes is much different than just spinning up a container in docker or even with docker compose. If someone has not already packaged it in a helm chart or some other kubernetes workload you'll have to develop one yourself. There are some nice library charts you can use as a base that should handle just about any random docker image you want to deploy. https://github.com/bjw-s/helm-charts/tree/main/charts/library/common there is also a repo of pre developed charts for common images. https://github.com/k8s-at-home/charts but be aware it was recently deprecated so it won't be receiving any updates.

Take a look at https://github.com/k8s-at-home/charts (recently deprecated but still a fantastic resource) - there are charts for the popular Arrs , tools, etc. You could deploy each chart individually into a namespace, or you could create yourself an "umbrella" chart which pulls in all the necessary charts as dependencies.

Library charts. A very thorough example can be seen here and usages of it here.

Could it be related to this? https://github.com/k8s-at-home/charts/pull/1435/files

I'd submitted a helm chart at https://github.com/k8s-at-home/charts/tree/master/charts/stable/firefly-iii if you want to try out

I know /u/stefantigro means well but the way you are both doing the helm charts is not ideal, helm charts are meant to be shared, not as a means to install apps into your cluster from a local folder. While they can be, it's not a good pattern. Take the helm chart from here for example. This is a published helm chart you can install using the commands in the Readme and you only need to provide the configuration for your instance from the values.yaml file. You can take a look at the values I use for this helm chart here. You can also see I'm using an custom Sonarr image, this image is tailored to running in Kubernetes

There is a working Helm chart for k8s-at-home that should be a good starting point. The biggest hurdle I see is that homebridge can conflict with SCALE's mDNS service as seen in this linked post.

There's an actual helm chart published here.

The very first step for this project is to have your Raspberry Pi up and running. This also includes SSH set up. If you already have a running one (or more) you can skip this step. One thing I want to note here is that I personally recommend you to not use WiFi connection, instead utilize wired connection which is more reliable and fast. I occasionally experienced unexpected disconnection and had to reboot my k3s when I had run MetalLB on the cluster, which we won't use it in this project though.

As I mentioned earlier, I'm running an Ergo instance for local IRC development. I have an Service of type LoadBalancer to expose it to my LAN via MetalLB.

Hey guys, I want to share a guide I’m pretty proud of which is talking about setting up kubernetes which leverages https://kubespray.io/#/ and https://metallb.universe.tf/ so you can host this yourself most people when spinning up kubernetes opt for k3s or get stuck with all the options or unable to setup the external ips for their services so these tools will eliminate the problem.

Have a closer look at MetallLB.

To avoid that, you can use a combination of haproxy and keepalived, an enterprise grade load balancer like the one from F5 or Citrix. Besides that you can also work with https://kube-vip.io or https://metallb.universe.tf.

Not sure if klipper is usable in a cluster with multiple nodes, as it binds to one port only. You may want to use MetalLB instead: https://metallb.universe.tf/

Then deploy MetalLB https://metallb.universe.tf/

What issue do you see with the load balancer? For self hosted clusters, one can use MetalLB for example to have such single outfacing IP which will failover to another node keeping the same IP if a node dies.