claude-home/media-servers/troubleshooting.md

title	description	type	domain	tags
Media Servers Troubleshooting	Troubleshooting guide for Jellyfin media server issues including GPU transcoding failures, driver mismatches, container startup problems, network connectivity, Roku/Apple TV playback, and emergency recovery.	troubleshooting	media-servers	jellyfin nvidia gpu transcoding docker roku troubleshooting recovery

Media Servers - Troubleshooting Guide

Common Issues and Solutions

GPU Transcoding Problems

GPU Not Detected in Container

Symptoms:

• Jellyfin shows "No hardware acceleration available"
• Transcoding falls back to CPU (slow performance)
• Container logs show NVIDIA device not found

Diagnosis:

# Check GPU accessibility from container
docker exec jellyfin nvidia-smi

# Verify NVIDIA runtime is configured
docker info | grep -i nvidia

# Check container GPU configuration
docker inspect jellyfin | grep -i gpu

Solutions:

1. Verify NVIDIA Container Runtime:

   # On host
   nvidia-smi  # Should work
   
   # Install nvidia-container-toolkit if missing
   sudo apt install nvidia-container-toolkit
   sudo systemctl restart docker
   

2. Fix Docker Compose Configuration:

   services:
     jellyfin:
       deploy:
         resources:
           reservations:
             devices:
               - driver: nvidia
                 count: all
                 capabilities: [gpu]
   

3. Restart Container:

   docker compose down
   docker compose up -d
   

Driver/Library Version Mismatch

Symptoms:

• nvidia-smi fails with "driver/library version mismatch"
• Container won't start with NVML error
• GPU monitoring shows "Restart failed"

Cause: NVIDIA driver updated on host but kernel modules not reloaded

Solution:

# Check host GPU status
nvidia-smi  # Will fail with mismatch error

# Reboot required to reload kernel modules
sudo reboot

# After reboot, verify
nvidia-smi
docker exec jellyfin nvidia-smi

Prevention:

• See /media-servers/jellyfin-ubuntu-manticore.md NVIDIA Driver Management section
• Hold driver packages to prevent auto-updates
• Monitor for updates weekly via automated checks

Transcoding Starts Then Fails

Symptoms:

• Playback begins then stops
• Jellyfin logs show ffmpeg errors
• GPU memory errors in logs

Diagnosis:

# Check GPU memory usage
nvidia-smi

# Check for concurrent GPU users (Tdarr, other containers)
docker ps | grep -E "tdarr|jellyfin"

# Check Jellyfin transcode logs
docker logs jellyfin 2>&1 | grep -i transcode | tail -50

Solutions:

1. GPU Resource Conflict: If Tdarr is using GPU, pause transcoding or limit concurrent jobs
2. Insufficient GPU Memory:

   # Check GPU memory
   nvidia-smi --query-gpu=memory.used,memory.total --format=csv
   
   # Reduce Jellyfin transcode resolution or bitrate
   

3. Codec Not Supported: Verify codec is supported by GPU encoder

   # Check available encoders
   docker exec jellyfin ffmpeg -encoders 2>/dev/null | grep nvenc
   

Container Startup Issues

Container Won't Start After Update

Symptoms:

• Container exits immediately after docker compose up -d
• Exit code indicates error (non-zero)

Diagnosis:

# Check container logs
docker logs jellyfin

# Check exit code
docker inspect jellyfin | grep ExitCode

# Try starting in foreground for detailed output
docker compose up

Common Causes & Solutions:

1. Permission Issues:

   # Fix ownership of config/cache directories
   sudo chown -R 1000:1000 ~/docker/jellyfin/config
   sudo chown -R 1000:1000 /mnt/NV2/jellyfin-cache
   

2. Port Already in Use:

   # Check if port 8096 is in use
   sudo lsof -i :8096
   
   # Kill conflicting process or change Jellyfin port
   

3. Volume Mount Failures:

   # Verify all mount points exist and are accessible
   ls -la ~/docker/jellyfin/config
   ls -la /mnt/NV2/jellyfin-cache
   mount | grep /mnt/truenas/media
   

Container Stuck in "Restarting" Loop

Symptoms:

• Docker shows container constantly restarting
• Brief uptime then crash

Diagnosis:

# Watch restart behavior
docker stats jellyfin

# Check logs for crash reason
docker logs jellyfin --tail 200

# Check resource limits
docker inspect jellyfin | grep -A 10 Resources

Solutions:

1. Database Corruption:

   # Stop container
   docker stop jellyfin
   
   # Backup database
   cp ~/docker/jellyfin/config/data/library.db{,.bak}
   
   # Try recovery
   sqlite3 ~/docker/jellyfin/config/data/library.db "PRAGMA integrity_check;"
   

2. Configuration File Issue:

   # Rename config to force regeneration
   mv ~/docker/jellyfin/config/system.xml{,.bak}
   
   # Restart container
   docker compose up -d
   

Network & Connectivity

Can't Access Web Interface

Symptoms:

• http://10.10.0.226:8096 not responding
• Connection timeout or refused

Diagnosis:

# Check if container is running
docker ps | grep jellyfin

# Check port binding
docker port jellyfin

# Test local connectivity
curl -I http://localhost:8096
curl -I http://10.10.0.226:8096

# Check firewall
sudo ufw status | grep 8096

Solutions:

1. Container Not Running: Start container

   docker compose up -d
   

2. Port Not Bound Correctly:

   # Fix docker-compose.yml
   ports:
     - "8096:8096"  # Not "0.0.0.0:8096:8096" on some systems
   

3. Firewall Blocking:

   sudo ufw allow 8096/tcp
   

Client Discovery Not Working

Symptoms:

• Jellyfin apps can't auto-discover server
• Must manually enter IP address

Diagnosis:

# Check UDP discovery port
docker port jellyfin | grep 7359

# Verify UDP traffic allowed
sudo ufw status | grep 7359

Solution:

# Ensure UDP port exposed
# In docker-compose.yml:
ports:
  - "7359:7359/udp"

# Allow in firewall
sudo ufw allow 7359/udp

Performance Issues

Slow Transcoding Performance

Symptoms:

• Buffering during playback
• High CPU usage despite GPU available
• Transcoding slower than real-time

Diagnosis:

# Check if GPU transcoding is actually being used
nvidia-smi dmon -s u -c 5  # Monitor GPU usage

# Check Jellyfin Dashboard > Playback for active transcodes

# Verify hardware accel is enabled in Jellyfin settings

Solutions:

1. Hardware Acceleration Not Enabled:

   • Dashboard → Playback → Transcoding
   • Select "NVIDIA NVENC"
   • Enable desired codecs

2. GPU Busy with Other Tasks:

   # Check what else is using GPU
   nvidia-smi
   
   # Pause Tdarr if running
   docker stop tdarr-node-gpu
   

3. Cache on Slow Storage:

   # Verify cache is on NVMe, not network storage
   docker inspect jellyfin | grep -A 5 cache
   
   # Should be /mnt/NV2/jellyfin-cache (NVMe)
   # NOT /mnt/truenas/... (network)
   

High Memory Usage

Symptoms:

• Jellyfin using excessive RAM
• Server becomes unresponsive
• OOM (Out of Memory) errors

Diagnosis:

# Check memory usage
docker stats jellyfin

# Check for memory leaks in logs
docker logs jellyfin | grep -i memory

Solutions:

1. Set Memory Limits:

   # In docker-compose.yml
   deploy:
     resources:
       limits:
         memory: 4G
   

2. Reduce Transcode Throttle:

   • Dashboard → Playback
   • Lower "Throttle Transcodes" value

3. Clear Transcode Cache:

   # Stop container
   docker stop jellyfin
   
   # Clear transcode cache
   rm -rf /mnt/NV2/jellyfin-cache/transcodes/*
   
   # Start container
   docker start jellyfin
   

Playback Problems

Playback Stuttering Despite Good Network

Symptoms:

• Video plays but stutters/buffers frequently
• Network speed is adequate
• Direct play works, transcoding stutters

Solutions:

1. Check Transcode Quality Settings:

   • Lower bitrate in client settings
   • Reduce resolution if needed

2. Verify GPU Transcoding Active:

   # While playing, check GPU usage
   nvidia-smi dmon -s u
   # Should show encoder (enc) usage
   

3. Check Storage I/O:

   # Monitor disk I/O during playback
   iostat -x 2 5
   

Roku/Apple TV Playback Timeout (TrueHD/DTS-HD MA Audio)

Symptoms:

• Playback hangs at "Loading" for 20-30 seconds then fails on Roku
• Jellyfin logs show forced transcoding with subtitle extraction delay
• Works fine on web browser or mobile clients

Root Cause: File has incompatible default audio (TrueHD, DTS-HD MA, Opus) AND a default SRT subtitle. Jellyfin must transcode audio AND burn-in subtitles over HLS. The 27-second subtitle extraction delay causes Roku client timeout.

Incompatible Audio Codecs (Roku/Apple TV):

Codec	Status
AC3 (Dolby Digital)	Native playback
AAC	Native playback
EAC3 (Dolby Digital+)	Native playback
TrueHD	Requires transcode
DTS / DTS-HD MA	Requires transcode
Opus	Requires transcode

Immediate Fix (per-file with mkvpropedit):

# Clear subtitle default, set compatible audio as default
mkvprobedit "file.mkv" \
  --edit track:s1 --set flag-default=0 \
  --edit track:a1 --set flag-default=0 \
  --edit track:a3 --set flag-default=1

Systemic Fix: Tdarr flow plugins ensAC3str (adds AC3 stereo fallback) and clrSubDef (clears non-forced subtitle defaults) — see tdarr/CONTEXT.md

Audio/Video Sync Issues

Symptoms:

• Audio and video out of sync during playback

Solutions:

1. Enable Audio Passthrough (if supported by client)
2. Update ffmpeg in container (usually handled by Jellyfin updates)
3. Try Different Transcode Settings:
   • Disable subtitle burn-in if not needed
   • Change audio codec settings

Monitoring & Alerts

GPU Monitor Alerts Not Working

Symptoms:

• No Discord notifications when GPU issues occur
• Monitoring script seems to run but no alerts

Diagnosis:

# Test Discord webhook
python3 /home/cal/scripts/jellyfin_gpu_monitor.py --discord-test

# Check monitoring logs
tail -f /home/cal/logs/jellyfin-gpu-monitor.log

# Verify cron job is running
crontab -l | grep jellyfin_gpu

Solutions:

1. Webhook URL Invalid:

   • Verify webhook URL in script
   • Test with curl: curl -X POST <webhook_url>

2. Script Permissions:

   chmod +x /home/cal/scripts/jellyfin_gpu_monitor.py
   

3. Cron Environment Issues:

   # Test script manually
   /usr/bin/python3 /home/cal/scripts/jellyfin_gpu_monitor.py --check --discord-alerts
   

Emergency Recovery Procedures

Complete System Recovery

Jellyfin Won't Start (All Else Failed)

1. Stop Container:

   docker stop jellyfin
   docker rm jellyfin
   

2. Backup Configuration:

   cp -r ~/docker/jellyfin/config ~/docker/jellyfin/config.backup.$(date +%Y%m%d)
   

3. Pull Fresh Image:

   docker pull jellyfin/jellyfin:latest
   

4. Recreate Container:

   cd ~/docker/jellyfin
   docker compose up -d
   

5. Restore Settings (if needed):

   • Copy specific config files from backup
   • Don't restore corrupt database

GPU Completely Broken

1. Verify Host GPU:

   # If nvidia-smi fails with driver mismatch
   sudo reboot
   

2. Remove GPU Access (temporary workaround):

   # Comment out GPU sections in docker-compose.yml
   # CPU transcoding only until GPU fixed
   

3. Reinstall NVIDIA Drivers (if reboot doesn't help):

   # Unhold packages
   sudo apt-mark unhold nvidia-driver-570
   
   # Reinstall
   sudo apt remove --purge nvidia-*
   sudo apt install nvidia-driver-570
   sudo reboot
   
   # Re-hold after working
   sudo apt-mark hold nvidia-driver-570
   

Preventive Maintenance

Regular Checks (Weekly)

# Check GPU health
nvidia-smi

# Verify Jellyfin accessible
curl -I http://10.10.0.226:8096

# Check disk space (cache can grow large)
df -h /mnt/NV2
df -h ~/docker/jellyfin/config

# Review logs for errors
docker logs jellyfin --since 7d | grep -i error

Monthly Tasks

# Update Jellyfin
cd ~/docker/jellyfin
docker compose pull
docker compose up -d

# Clean old transcodes
find /mnt/NV2/jellyfin-cache/transcodes/ -type f -mtime +7 -delete

# Backup configuration
tar -czf ~/jellyfin-config-backup-$(date +%Y%m%d).tar.gz ~/docker/jellyfin/config/

Before Major Changes

• Create snapshot if on Proxmox
• Backup full config directory
• Test on non-production instance if possible
• Document current working configuration

Related Documentation

• Setup Guide: /media-servers/jellyfin-ubuntu-manticore.md
• NVIDIA Driver Management: See jellyfin-ubuntu-manticore.md
• GPU Monitoring: /monitoring/scripts/CONTEXT.md
• Technology Overview: /media-servers/CONTEXT.md
• Main Instructions: /CLAUDE.md

Support Resources

• Jellyfin Docs: https://jellyfin.org/docs/
• NVIDIA Container Toolkit: https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/
• Discord Monitoring: See /monitoring/scripts/jellyfin_gpu_monitor.py