charts VS Transmission

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.

Why bake libtransmission into the app instead of just using the transmission daemon's RPC?

What you've done actually makes it harder to use, because in order to configure any of transmission's settings (ports, connection/torrent connection limits, bandwith limits, etc) the user needs to dig around to find the transmission config folder and then manually edit JSON with a text editor - because your client doesn't expose any of transmissions numerous settings [1] to the user except for choosing the download folder.

I'm not sure why anyone would want to use this instead of Flood [2] or even old Transmission Web Control [3]

1: https://github.com/transmission/transmission/blob/main/docs/...

1: https://github.com/jesec/flood

2: https://github.com/ronggang/transmission-web-control

Grab this file. Install Transmission on Mac or Deluge on Win. Optional: run a VPN if you're in the US(mostly) and worried about your ISP sending you a cease-and-desist notice. Open the file using the app you installed. Wait. It should start within a minute or two and download progress will be seen. Speed depends on how many people are sharing it. Any issues, let me know.

Why "NO TORRENT"? Just get TransmissionBT and torrent whatever you want

Its intresting you mention that, before reading your reply I went and created a post in the Q n A section, asking for help about this very thing and I linked to the same GitHub issue you linked to here. I have yet to get a reply lol.here

transmission can run as a headless server with a web gui

Get a VPN like Windscribe(set windscribe firewall to on instead of auto), forward your port via their website. Use a good torrent client like https://transmissionbt.com/ set that port in the options, and add a blocklist https://github.com/Naunter/BT\_BlockLists/raw/master/bt\_blocklists.gz