Features

• HTTP API for submitting jobs to an FFmpeg worker
• Redis-backed worker
• S3-based storage (AWS and Digital Ocean)
• Web Dashboard UI for managing encode jobs
• Machines UI/API for scaling worker instances
• Database stored FFmpeg encoding presets

Develop

Requirements

• Docker
• Go 1.11+
• FFmpeg
• Postgres
• AWS S3 Credentials & Bucket
• Digital Ocean API Keys (optional)

Setup

• Start Redis and Postgres in Docker:

docker-compose up -d redis
docker-compose up -d db

• Create DB and run scripts/schema.sql to set up schema.

• Set environment variables in docker-compose.yml:

Environment variables will override defaults set in config/default.yml.

• Build & start API server:

go build -v && openencoder.exe server

• Build & start worker:

go build -v && openencoder.exe worker

• Start Web Dashboard for development:

cd static && npm run serve

Example Usage

curl -X POST \
  http://localhost:8080/api/jobs \
  -H 'Content-Type: application/json' \
  -d '{
	"preset": "h264_baseline_360p_600",
	"source": "s3:///src/ToS-1080p.mp4",
	"dest": "s3:///dst/tears-of-steel/"
  }'

See API.md for full jobs API documentation.

API

See: API.md

Scaling

You can scale workers by adding more machines via the Web UI or API.

Currently only Digital Ocean is supported. More providers are planned.

See: API.md for Machines API documentation.

TODO

• Distributed chunked encoding
• More health-checks

License

MIT