The datarhei Core is a process management solution for FFmpeg that offers a range of interfaces for media content, including HTTP, RTMP, SRT, and storage options. It is optimized for use in virtual environments such as Docker. It has been implemented in various contexts, from small-scale applications like Restreamer to large-scale, multi-instance frameworks spanning multiple locations, such as dedicated servers, cloud instances, and single-board computers. The datarhei Core stands out from traditional media servers by emphasizing FFmpeg and its capabilities rather than focusing on media conversion.
__
Objectives of development
The objectives of development are:
Unhindered use of FFmpeg processes
Portability of FFmpeg, including management across development and production environments
Scalability of FFmpeg-based applications through the ability to offload processes to additional instances
What issues have been resolved thus far?
Process management
Run multiple processes via API
Unrestricted FFmpeg commands in process configuration.
Error detection and recovery (e.g., FFmpeg stalls, dumps)
Media delivery
Configurable file systems (in-memory, disk-mount, S3)
HTTP/S, RTMP/S, and SRT services, including Let's Encrypt
Bandwidth and session limiting for HLS/MPEG DASH sessions (protects restreams from congestion)
Misc
HTTP REST and GraphQL API
Swagger documentation
Metrics incl. Prometheus support (also detects POSIX and cgroups resources)
Quick start
Changelog
Releases
Streamlining of media product development by focusing on features and design.
Referencing for process chaining (pipelines)
Placeholders for storage, RTMP, and SRT usage (automatic credentials management and URL resolution)
Logs (access to current stdout/stderr)
Log history (configurable log history, e.g., for error analysis)
Resource limitation (max. CPU and MEMORY usage per process)
Statistics (like FFmpeg progress per input and output, CPU and MEMORY, state, uptime)
Input verification (like FFprobe)
Metadata (option to store additional information like a title)
Viewer session API and logging
Docker images for fast setup of development environments up to the integration of cloud resources
