You can use FFmpeg to loop a media file into SRS over RTMP, then use a separate publishing component to send the stream to YouTube’s current RTMPS ingest endpoint. SRS’s documented quick-start shows local ingest and playback; it does not automatically forward a stream to YouTube or, by itself, provide the monitoring and recovery needed for dependable 24/7 operation.
How the SRS-to-YouTube setup fits together
The path has two distinct destinations: your local SRS server for ingest and preview, and YouTube’s ingest service for publication. A looped file can enter SRS, but a separate forwarding or publishing component must send it onward to YouTube.
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Media file → FFmpeg loop/publisher → SRS RTMP ingest → local preview
Separately: publishing component → YouTube RTMPS ingest address + stream key → YouTube live stream
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The official SRS Docker example publishes to rtmp://host.docker.internal/live/livestream, an SRS address—not a YouTube URL. Starting the SRS container alone does not publish to YouTube. See the SRS Getting Started guide.
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Start SRS and verify local playback
The SRS getting-started guide demonstrates a Docker quick-start with ports 1935, 1985, and 8080 mapped for its example. These are illustrative values for that setup, not universal production defaults; check the guide and your own network and deployment configuration before exposing ports.
- Start SRS: Follow the Docker command in the official SRS getting-started guide. Confirm the container starts and the expected ports are reachable from the publishing host.
- Publish a test stream locally: Send a compatible test source to the SRS RTMP application and stream name used in your configuration. The guide’s example destination is
rtmp://host.docker.internal/live/livestream; that hostname is specific to the example’s Docker networking arrangement. - Preview before adding YouTube: Use one of the playback forms documented by SRS, such as RTMP, HTTP-FLV, or HLS. The guide lists example local playback addresses. A working local preview confirms the SRS path, but does not confirm YouTube ingest or account status.
Loop a file into SRS with FFmpeg
The SRS guide demonstrates this command pattern using its encoder container:
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docker run --rm -it ossrs/srs:encoder ffmpeg
-stream_loop -1 -re -i doc/source.flv
-c copy -f flv rtmp://host.docker.internal/live/livestream-stream_loop -1tells FFmpeg to repeat the input indefinitely.-rereads the input at its native rate rather than sending it as fast as possible.-i doc/source.flvis the sample file path in the SRS source repository. Make your own file available inside the container—for example, by mounting a host directory and using the corresponding container path.-c copycopies streams without transcoding. It is suitable only when the source codecs and container/output requirements are compatible; the example does not guarantee that every file can be copied into FLV successfully.-f flvselects the output format, and the final URL points to SRS’s RTMP ingest.
This command is a demonstration invocation, not an unattended service. The --rm -it options do not configure restart supervision, health checks, logging, alerts, or recovery after a host or network failure. For broader SRS protocol details, consult the SRS RTMP documentation.
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Send the stream to YouTube over RTMPS
- Get the current destination and key: In YouTube’s live setup, use the ingest URL and stream key provided for your stream. Do not publish, commit, or expose the key in logs or screenshots. YouTube’s API documentation identifies the RTMPS endpoint field as
cdn.ingestionInfo.rtmpsIngestionAddress; ordinary creators should use the values shown in their own live setup rather than hard-code a copied endpoint. - Configure a separate publishing path: Your FFmpeg or other publishing component must send to YouTube’s RTMPS address with the key, or SRS must be explicitly configured with a forwarding component. The SRS quick-start command above only publishes to SRS and demonstrates local playback.
- Check RTMPS details: Use the correct
rtmpsprotocol and endpoint path. YouTube’s RTMPS guidance specifies SSL over port 443 and requires SNI to provide the server hostname. An incorrect path, port, hostname, or key can prevent connection even when local SRS playback works. - Verify both sides: Confirm the publishing process connects to YouTube and that YouTube reports an incoming stream in its live control room before relying on the public stream. RTMPS is described by YouTube as a good choice for ordinary low-latency user content. See YouTube’s RTMPS ingestion guide, last updated 2026-09-14 UTC.
What 24/7 operation requires beyond the quick-start
A loop flag keeps FFmpeg reading a file repeatedly while the process and its dependencies remain healthy. It does not guarantee continuous availability. Treat the following as deployment requirements to implement and test, rather than capabilities established by the short SRS example.
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- Process supervision: Run FFmpeg and SRS under a process supervisor or orchestrator with deliberate restart behavior. Test what happens after each process exits unexpectedly.
- Separate health checks: Monitor the media loop, SRS ingest/playback, and YouTube ingest independently. A healthy SRS preview does not prove YouTube is receiving the stream.
- Logs and alerts: Persist useful logs and alert on process exits, missing input, failed reconnects, or loss of the YouTube stream.
- Reconnect and recovery: Test network interruption, YouTube disconnects, container restarts, and credential changes. Define who responds and how the stream is restored.
- Continuous source availability: Keep the media file accessible, intact, and in a compatible format. For playlist operation, verify ordering and behavior at file boundaries; the cited single-file example does not define playlist orchestration.
- Host and account dependencies: Continuous operation also depends on host uptime, network continuity, stream credentials, and YouTube account/platform state. No uninterrupted-availability guarantee follows from the quick-start.
Choose a host based on the workload you can verify
You can run SRS on a self-managed computer or rented compute, but the official SRS README does not provide a minimum CPU, memory, or network-capacity table for a particular resolution, codec, stream count, or transcoding workload. It identifies SRS/8.0 and lists Linux and macOS support across x86_64 and ARM-family architectures, and recommends Docker; the develop-branch README is mutable, so check the current version, image tags, and compatibility before deployment.
If considering a mini PC for a streaming server or an always-on home server, treat it as a hosting choice to evaluate against your actual workload, power and network needs, and responsibility for maintenance—not as a model validated by the SRS documentation. Rented compute moves the physical host out of your home, but cost and operational responsibility depend on the service and configuration; the sources cited here do not establish a cost comparison.
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