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World desk6 min

Restreamer Docker Container Keeps Restarting: Logs and Fixes

Capture container state and logs before changing anything, then isolate the restart across Docker, Restreamer processes, persistent paths, image versions, and stream workload.
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If your Restreamer Docker container keeps restarting, first capture its exit state, recent Docker events, and Restreamer application logs before changing the deployment. A restart policy can bring a crashed container back up, but it does not identify or fix the cause. The available evidence does not establish one universal cause; use the checks below to locate the failure in Docker, Restreamer, storage, the image or version, or the stream workload.

Capture what happened before changing anything

Record the failure while it is occurring. Recreating the container, pulling a new image, or changing configuration can erase useful context or make it harder to compare the current deployment with the previous one. Save the output and note the time of each restart.

  1. Record the container state. Inspect the container’s current status, exit information, and restart count with your Docker management interface or CLI. Preserve the complete output rather than only the last status line.
  2. Capture recent container output. Save timestamped output from the container, including lines printed immediately before it exits. Docker’s CLI options can vary by version; check the current Docker container logs reference for the syntax supported by your installation.
  3. Review recent Docker events. Look for events around the recorded exit times, and save the relevant output. Consult the current Docker events reference for supported commands and options.
  4. Preserve the deployment definition. Save the exact image name and tag, container creation command or Compose file, environment values, mount definitions, and any hardware-related options. Redact secrets such as stream keys before sharing these materials.

This separates evidence from several layers: container and host behavior, Restreamer’s own system or FFmpeg logs, persistent configuration and data, image or version changes, and the workload being processed. Do not infer a cause from the restart count alone.

Check Restreamer’s application and FFmpeg logs

Restreamer’s documented troubleshooting sequence starts by testing with a virtual source and then checking process details and logs. Review the Basic Troubleshooting guide alongside the Logging settings. A container may stay up while a particular process fails, so process details and FFmpeg output can be more specific than the container’s final line.

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Review logging settings

The datarhei Environment Variables reference lists the following defaults; its publication year is not stated in the retrieved material. Confirm them against the version you actually run before relying on them.

Variable Documented default What to check
CORE_LOG_LEVEL info Supported levels are silent, error, warn, info, and debug. Use a more detailed level when the normal output does not show enough context, then restore the intended setting after diagnosis.
CORE_LOG_MAXLINES 1000 Controls the retained system-log lines according to the reference.
CORE_FFMPEG_LOG_MAXLINES 50 Controls retained FFmpeg log lines according to the reference.
CORE_FFMPEG_LOG_MAXHISTORY 3 Controls FFmpeg log history according to the reference.

The environment-variable reference says values supplied through command-line environment settings override values in the .env file. Check the effective values in the running deployment: editing a file alone may not change the settings used by an already-created container.

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Test with a virtual source

Run the virtual-source test described in the official troubleshooting guide and observe whether the same restart or process failure occurs. If it does, that points away from the original media input as the only explanation; if it does not, compare the original input and its processing requirements with the test. Either result narrows the investigation, but does not by itself prove a root cause.

Verify persistent mounts and configuration

The Linux installation guide documents host mounts for /core/config and /core/data, where configuration state and internal filesystem data are persisted. Compare the mounts on the actual container with the command or Compose configuration you intended to use.

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  • Confirm that both container paths are mapped to the intended host directories.
  • Check that the host paths still exist and are the same paths used when the container was created.
  • Compare the effective environment and mount configuration with the deployment file; do not assume a recent edit was applied to a running container.
  • Before changing mounts or attempting a version rollback, preserve the existing configuration and data.

A mismatch is a reason to investigate the deployment definition and persisted state, not proof that storage caused the restart. Avoid deleting or replacing host data as a diagnostic shortcut.

Check the image, version, and recent changes

Write down the exact image tag currently in use and compare it with the tag and configuration from before the restart began. Note whether the image was changed, pulled, rebuilt, or replaced with a custom image, and whether the host or hardware setup changed at the same time.

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Restreamer recommends its official Docker images to reduce variation in operating systems and dependencies; see Official Recommendations. This is a way to control deployment variability, not evidence that a custom image is necessarily the cause of a particular failure. Preserve the current tag and logs before pulling or recreating anything, so the before-and-after versions remain identifiable.

Handle v2.4 and later migration advice carefully

Restreamer’s Migration page says v2.4 and later switched to FFmpeg 5.1.2 and documents a limited downgrade procedure for problems involving that version change. The page also says processes created with the newer version cannot be restored by that procedure. This version history makes a recent upgrade relevant to check; it does not show that the upgrade caused your restart loop.

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Do not downgrade based only on a restart symptom. Back up configuration and data, establish the exact versions involved, and verify that the documented procedure applies to your deployment before attempting it. Migration guidance is version-specific and the referenced page displayed “Last updated 3 years ago”; check the documentation for the release you run.

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Match symptoms to the evidence you have

Evidence location What to compare Next diagnostic step
Container and Docker runtime Exit state, restart history, recent events, and host or runtime messages around the same timestamps. Correlate the exit with container output and host evidence; do not treat automatic restarting as a repair.
Restreamer application System logs, process details, and FFmpeg logs at the time of failure. Review logging settings and run the documented virtual-source test.
Configuration and storage Effective environment values and mounts for /core/config and /core/data. Compare the live container with the saved creation command or Compose file.
Image and version Exact image tag, official versus custom image, and any recent upgrade or migration. Record the current version and verify version-specific migration guidance before changing it.
Input and workload Whether the virtual source also fails and whether the original workload uses hardware-specific options. Compare the two tests and investigate hardware compatibility only if the deployment evidence makes it relevant.

Architecture, permissions, resource exhaustion, and hardware compatibility require evidence from your host and deployment. The official documentation cited here does not establish them as general causes or rank them by likelihood.

Fix only what the evidence points to

  • Configuration differs from the intended deployment: correct the specific environment value, image tag, or mount definition identified by your comparison. Preserve the previous configuration so you can tell whether the change altered the failure.
  • Logs point to a process or input issue: use the process details and virtual-source comparison to isolate the failing workload before changing unrelated container settings.
  • A version change lines up with the start of the failure: verify the release history and applicable migration instructions first. Back up persistent data before an upgrade or downgrade.
  • Docker repeatedly restarts the container: treat the restart policy as evidence of recovery behavior, not a root-cause fix. The Restreamer Linux guide documents --restart=always for restarting after a crash or device reboot; it does not prevent the underlying failure.

Change one relevant item at a time and compare timestamped logs and state afterward. If you change the image, mounts, logging, and workload together, a successful restart will not tell you which change mattered.

When the cause is still unclear

If the virtual-source test and log review do not resolve the issue, Restreamer’s Basic Troubleshooting guide recommends opening a GitHub issue with a detailed description and attached process report. Include the exact image tag, version history, relevant timestamps, container state and events, process report, and the comparison between the virtual source and original workload. Remove stream keys, passwords, and other secrets before posting.

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Or let it run in the cloud

If your goal is specifically to keep pre-recorded video looping as a 24/7 YouTube stream, StreamNeo is a different approach from troubleshooting a Restreamer container: upload a recording or build a playlist, add your YouTube stream key, and go live. StreamNeo keeps the stream running from the cloud, so nothing has to stay on at home. Videos stream as uploaded at any quality up to 4K 60fps for one flat price per slot, with automatic recovery if YouTube drops the stream. The first day is free with no card, one free day per account. Monthly billing is $9.99 per month. StreamNeo plays uploaded videos and streams to YouTube; it does not replace a camera-based live broadcast. Start the free day with StreamNeo.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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