docker-mods VS rffmpeg

Have you tried adding the OpenCL-Intel Dockermod for the LSIO container? I don't believe it'll function properly without it...fair warning it significantly increases startup time. Additionally, it may not matter if you've already verified your hardware acceleration is working as expected, but at one point I did have to specifically indicate both renderD128 and card0 to get everything settled. If it ain't broke, don't fix it, but that's a difference in our compose files I spotted immediately.

Misc - LinuxServer.io images now support mods with multi-digest layers (https://github.com/linuxserver/docker-mods/pull/577)

Are you using a linuxserver container? If so, check this out as well: https://github.com/linuxserver/docker-mods/tree/jellyfin-opencl-intel

If you are running using the lsio container, you could try out this repo which makes the par2 process 2-3 times faster. https://github.com/linuxserver/docker-mods/tree/sabnzbd-par2cmdline-turbo

If you're using the LinuxServer plex image, you're probably facing this issue. https://github.com/linuxserver/docker-mods/issues/575

Following this issue and looking at the code here it appears that the mod identifies running applications on swag by globbing all the conf files (including samples!) and attemting a connection on them. And it does this with ThreadPoolExecutor(max_workers=100) which seems to explain why those DNS queries were being spammed on pihole.

I run a similar set up, but i run jellyfin with linuxserver's docker with this addon: https://github.com/linuxserver/docker-mods/tree/jellyfin-amd

I got rffmpeg for distributed transcoding. Probably I understood Tdarr wrong, Tdarr leaves the files already transcoded or does transcoding on demand just like Rffmpeg? I got a lot of content on 4k that I would prefer to leave it like this for the best clients, and transcode as needed for 1080p computers

I'd love to point out https://github.com/joshuaboniface/rffmpeg

Just having support for a remote transcoder, along the lines of unicorn transcoder or rffmpeg would be a good first step to let us start homebrewing a solution.

In the rare case you need transcoding I would suggest you use a script like rffmpeg to offload transcoding to a more powerful target and/or use my script which creates trascoding workers when need be and deletes them afterwards (could be used with Unmanic as well).

rffmpeg

> Also, remote transcoding of videos seems like a huge win! Makes it so you won't need as beefy as a system to run PeerTube.

You can technically do it if you're willing to hack around. Since it uses the ffmpeg binary you could technically replace it with rffmpeg[1], the setup isn't pretty but it's doable. I haven't done it myself but have seen reddit posts on the jellyfin community that it works pretty well once setup.

[1] https://github.com/joshuaboniface/rffmpeg

If it's a normal Jellyfin install you can just use the rffmpeg python script directly, or you could run docker on Windows or WSL.

Maybe in the future you can use multiple machines to do your transcoding?

rffmpeg is supposed to do that. I haven't used it.

It should hopefully be pretty straightforward. We've got a user who's been working on autoscaling it with Kube and Hesner, so might be worth checking that out (see https://github.com/joshuaboniface/rffmpeg/issues/34 and specifically the last comment; his profile has his repos).