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Automagically scale number of rffmpeg workers in the cloud

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aleksasiriski/rffmpeg-autoscaler

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rffmpeg-autoscaler

Automagically scale number of rffmpeg workers in the cloud

NOTICE!

This is a rewrite of Hcloud Rffmpeg and currently it only supports Hetzner Cloud.

Kubernetes

On Kubernetes you can use OpenEBS to create RWX from RWO volume or Longhorn RWX volumes (NFSv4) and mount said paths to Jellyfin host and workers (must be exactly the same mount points!).

Here's a Helm chart repo with instuctions

Setup

  1. Use this image: ghcr.io/aleksasiriski/rffmpeg-autoscaler:latest
  2. Set the required environment variables
  3. Share the Jellyfin config volume with this image (the only things that are really needed: Sqlite DB that rffmpeg uses if you haven't setup Postgres and rffmpeg's public ssh key, other than that it's convenient for rffmpeg-autoscaler to store log file inside Jellyfin's /config/log dir because you can read the log from Jellyfin's interface)
  4. All of your workers need Jellyfin's /config/transcodes and /config/data/subtitles directories available and mounted at the same path as the Jellyfin host. Best solution is to use NFSv4.
  5. Also, I recommend using Hetzner Storage Box for media share (cifs/samba) and setting MEDIA_USERNAME and MEDIA_PASSWORD, but if you aren't using it you will need to share media directory with the workers as well.

If you need a reference docker compose file with NFS server use this one.

Recommended images

I made and tested these images to use with this script:

Environment variables

Name Default value Description
RFFMPEG_AUTOSCALER_CONFIG /config Path to config dir
RFFMPEG_AUTOSCALER_LOG /config/log/rffmpeg-autoscaler.log Path to the log file
RFFMPEG_AUTOSCALER_VERBOSITY 0 1 means DEBUG, 2 means TRACE
JELLYFIN_HOST Must be explicitly set! The IP address or hostname of Jellyfin's NFS share that workers use to access transcodes and subtitles directories
JELLYFIN_SSH_KEY /config/rffmpeg/.ssh/id_ed25519.pub Path to rffmpeg public ssh key generated on the Jellyfin host
JELLYFIN_JOBS 2 Number of jobs allowed per worker, the default of 2 tells the script to only create a new worker if there are 2 or more jobs on the previous one.
JELLYFIN_WEIGHT 1 Weight of the workers, higher numbers meaning they are more prefered for transcoding. Useful only if you have added custom workers or when using multiple scripts like this one
HETZNER_TOKEN Must be explicitly set! Hetzner Cloud API token
HETZNER_SERVER cpx21 The type of server from Hetzner that should be used for workers
HETZNER_IMAGE docker-ce The OS image used on workers, docker-ce is Ubuntu with Docker preinstalled
HETZNER_SSH_KEY root@jellyfin The name of the ssh key that will be saved on Hetzner and used for connecting to workers
HETZNER_NETWORK rffmpeg-workers The name of the network created for local communication between the workers and the Jellyfin host
HETZNER_FIREWALL rffmpeg-workers The name of the firewall created for workers, recommended to block access to ssh over the internet
HETZNER_PLACEMENT_GROUP rffmpeg-workers The name of the placement group created to spread the workers over the datacenter
HETZNER_LOCATION nbg1 The name of the location in which the workers should be created
HETZNER_CLOUD_INIT string The string that setups the workers after creation, the default uses my docker compose and inserts needed env variables
DATABASE_TYPE sqlite Must be 'sqlite' or 'postgres`
DATABASE_PATH /config/rffmpeg/db/rffmpeg.db Path to the SQLite DB, ignored when type is postgres
DATABASE_HOST localhost Postgres database host
DATABASE_PORT 5432 Postgres database port
DATABASE_NAME rffmpeg Postgres database name
DATABASE_USERNAME postgres Postgres database username
DATABASE_PASSWORD "" Postgres database password
MEDIA_USERNAME "" Username for the Storage Box media share
MEDIA_PASSWORD "" Password for the Storage Box media share

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Automagically scale number of rffmpeg workers in the cloud

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