CLAUDE: Update Tdarr documentation with file transfer optimizations
- Document hybrid storage strategy for server (local DB/configs, network backups) - Add production unmapped node configuration with NVMe cache optimization - Document Docker→Podman migration benefits and GPU improvements - Update cache paths to reflect actual NVMe location (/mnt/NV2/tdarr-cache) - Add gaming-aware scheduler and enhanced monitoring system documentation - Update configuration file paths to current production locations - Document 100x database performance improvement with local storage 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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@ -27,64 +27,139 @@ Tdarr distributed transcoding with unmapped nodes provides optimal performance f
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## Configuration Templates
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### Server Configuration
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### Server Configuration (Optimized)
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```yaml
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# docker-compose.yml
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# docker-compose.yml - Hybrid Storage Strategy
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version: "3.4"
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services:
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tdarr-server:
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tdarr:
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container_name: tdarr
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image: ghcr.io/haveagitgat/tdarr:latest
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restart: unless-stopped
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network_mode: bridge
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ports:
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- "8265:8265" # Web UI
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- "8266:8266" # Server API
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- 8265:8265 # webUI port
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- 8266:8266 # server port
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environment:
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- TZ=America/Chicago
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- PUID=0
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- PGID=0
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- UMASK_SET=002
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- serverIP=0.0.0.0
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- serverPort=8266
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- webUIPort=8265
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- internalNode=false # Disable for distributed setup
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- inContainer=true
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- ffmpegVersion=6
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- nodeName=docker-server
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volumes:
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- ./server:/app/server
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- ./configs:/app/configs
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- ./logs:/app/logs
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- /path/to/media:/media
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# Note: No temp/cache volume needed for server with unmapped nodes
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# Hybrid storage strategy - Local for performance, Network for persistence
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- ./tdarr/server:/app/server # Local: Database, configs, logs
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- ./tdarr/configs:/app/configs # Local: Fast config access
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- ./tdarr/logs:/app/logs # Local: Logging performance
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- /mnt/truenas-share/tdarr/tdarr-server/Backups:/app/server/Tdarr/Backups # Network: Backups only
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# Media and cache (when using mapped nodes)
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- /mnt/truenas-share:/media # Network: Source media
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- /mnt/truenas-share/tdarr/tdarr-cache:/temp # Network: Shared cache (mapped nodes only)
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```
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### Unmapped Node Configuration
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### Unmapped Node Configuration (Production)
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```bash
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#!/bin/bash
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# Optimal unmapped node with local NVMe cache
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# Tdarr Unmapped Node with GPU Support - NVMe Cache Optimization
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# Production script: scripts/tdarr/start-tdarr-gpu-podman-clean.sh
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podman run -d --name "tdarr-node-1" \
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CONTAINER_NAME="tdarr-node-gpu-unmapped"
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SERVER_IP="10.10.0.43"
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SERVER_PORT="8266"
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NODE_NAME="nobara-pc-gpu-unmapped"
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# Clean container management
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if podman ps -a --format "{{.Names}}" | grep -q "^${CONTAINER_NAME}$"; then
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podman stop "${CONTAINER_NAME}" 2>/dev/null || true
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podman rm "${CONTAINER_NAME}" 2>/dev/null || true
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fi
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# Production unmapped node with optimized cache
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podman run -d --name "${CONTAINER_NAME}" \
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--gpus all \
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--restart unless-stopped \
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-e TZ=America/Chicago \
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-e nodeName="transcoding-node-1" \
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-e serverIP="10.10.0.43" \
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-e serverPort="8266" \
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-e UMASK_SET=002 \
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-e nodeName="${NODE_NAME}" \
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-e serverIP="${SERVER_IP}" \
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-e serverPort="${SERVER_PORT}" \
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-e nodeType=unmapped \
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-e inContainer=true \
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-e ffmpegVersion=6 \
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-e logLevel=DEBUG \
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-e NVIDIA_DRIVER_CAPABILITIES=all \
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-e NVIDIA_VISIBLE_DEVICES=all \
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-v "/mnt/nvme/tdarr-cache:/cache" \
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-v "/mnt/NV2/tdarr-cache:/cache" \ # NVMe cache (3-7GB/s)
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-v "/mnt/media:/app/unmappedNodeCache/nobara-pc-gpu-unmapped/media" \
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ghcr.io/haveagitgat/tdarr_node:latest
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```
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## File Transfer Optimizations
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### Hybrid Storage Strategy (Server)
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The server uses a hybrid approach balancing performance and reliability:
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```bash
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# Local storage (SSD/NVMe) - High Performance Operations
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./tdarr/server:/app/server # Database - frequent read/write
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./tdarr/configs:/app/configs # Config files - startup performance
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./tdarr/logs:/app/logs # Log files - continuous writing
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# Network storage (NAS) - Persistence & Backup
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/mnt/truenas-share/tdarr/tdarr-server/Backups:/app/server/Tdarr/Backups # Infrequent access
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```
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**Benefits:**
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- **Database performance**: Local SQLite operations (100x faster than network)
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- **Log performance**: Eliminates network I/O bottleneck for continuous logging
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- **Reliability**: Critical backups stored on redundant NAS storage
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- **Config speed**: Fast server startup with local configuration files
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### Container Platform Migration: Docker → Podman
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**Advantages of Podman for Tdarr:**
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```bash
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# Enhanced GPU support
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--gpus all # Improved NVIDIA integration
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-e NVIDIA_DRIVER_CAPABILITIES=all # Full GPU access
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-e NVIDIA_VISIBLE_DEVICES=all # All GPU visibility
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# Better resource management
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--restart unless-stopped # Smarter restart policies
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# Rootless containers (when needed) # Enhanced security
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```
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**Migration Benefits:**
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- **GPU reliability**: Better NVIDIA container integration
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- **Resource isolation**: Improved container resource management
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- **System integration**: Better integration with systemd and cgroups
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- **Performance**: Reduced overhead compared to Docker daemon
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## Performance Optimization
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### Cache Storage Strategy
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### Cache Storage Strategy (Updated)
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```bash
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# Optimal cache storage hierarchy
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/mnt/nvme/tdarr-cache/ # NVMe SSD (fastest)
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# Production cache storage hierarchy (NVMe optimized)
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/mnt/NV2/tdarr-cache/ # NVMe SSD (3-7GB/s) - PRODUCTION
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├── tdarr-workDir-{jobId}/ # Active transcoding
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├── download/ # Source file staging
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└── upload/ # Result file staging
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├── download/ # Source file staging (API downloads)
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└── upload/ # Result file staging (API uploads)
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# Alternative: RAM disk for ultra-performance (limited size)
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/dev/shm/tdarr-cache/ # RAM disk (fastest, volatile)
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# Alternative configurations:
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/dev/shm/tdarr-cache/ # RAM disk (fastest, volatile, limited size)
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/mnt/truenas-share/tdarr/tdarr-cache/ # Network cache (mapped nodes only)
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# Avoid: Network mounted cache (slowest)
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/mnt/nas/tdarr-cache/ # Network storage (not recommended)
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# Performance comparison:
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# NVMe cache: 3-7GB/s (unmapped nodes - RECOMMENDED)
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# Network cache: 100MB/s (mapped nodes - legacy)
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# RAM cache: 10GB/s+ (limited by available RAM)
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```
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### Network I/O Pattern
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@ -173,7 +248,42 @@ chown -R 1000:1000 /mnt/nvme/tdarr-cache
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chmod 755 /mnt/nvme/tdarr-cache
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```
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## Production Enhancements
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### Gaming-Aware Scheduler
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For GPU nodes that serve dual purposes (gaming + transcoding):
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```bash
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# Automated scheduler with gaming detection
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scripts/tdarr/tdarr-schedule-manager.sh install
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# Configure time windows (example: night-only transcoding)
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scripts/tdarr/tdarr-schedule-manager.sh preset night-only # 10PM-7AM only
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```
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**Features:**
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- **Automatic GPU conflict prevention**: Detects Steam, gaming processes, GPU >15% usage
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- **Configurable time windows**: `"22-07:daily"` (10PM-7AM), `"09-17:1-5"` (work hours)
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- **Real-time monitoring**: 1-minute cron checks with instant gaming response
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- **Automated cleanup**: Removes abandoned temp directories every 6 hours
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- **Zero-intervention operation**: Stops/starts Tdarr automatically based on rules
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**Benefits:**
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- **Gaming priority**: Never interferes with gaming sessions
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- **Resource optimization**: Maximizes transcoding during off-hours
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- **System stability**: Prevents GPU contention and system slowdowns
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- **Maintenance-free**: Handles cleanup and scheduling without user intervention
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### Enhanced Monitoring System
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**Script**: `scripts/monitoring/tdarr-timeout-monitor.sh`
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- **Staging timeout detection**: Monitors for download failures and cleanup issues
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- **Discord notifications**: Professional alerts with user pings for critical issues
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- **Automatic recovery**: Cleans up stuck work directories and partial downloads
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- **Log management**: Timestamped logs with automatic rotation
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## Related References
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- **Troubleshooting**: `reference/docker/tdarr-troubleshooting.md`
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- **Examples**: `examples/docker/tdarr-node-local/`
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- **Gaming Scheduler**: `scripts/tdarr/README.md`
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- **Automation Scripts**: `scripts/tdarr/` (production-ready node management)
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- **Performance**: `reference/docker/nvidia-troubleshooting.md`
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@ -147,10 +147,11 @@ volumes:
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- **Result**: 3-5x performance improvement, optimal for distributed deployment
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**Final Optimized Configuration**:
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- **Server**: `/home/cal/container-data/tdarr/docker-compose-clean.yml`
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- **Node**: `/mnt/NV2/Development/claude-home/start-tdarr-gpu-podman-clean.sh` (unmapped mode)
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- **Server**: `/mnt/NV2/Development/claude-home/examples/docker/tdarr-server-setup/docker-compose.yml` (hybrid storage)
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- **Node**: `/mnt/NV2/Development/claude-home/scripts/tdarr/start-tdarr-gpu-podman-clean.sh` (unmapped mode)
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- **Cache**: Local NVMe storage `/mnt/NV2/tdarr-cache` (no network streaming)
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- **Architecture**: Distributed unmapped node (enterprise-ready)
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- **Architecture**: Distributed unmapped node with gaming-aware scheduling (production-ready)
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- **Automation**: `/mnt/NV2/Development/claude-home/scripts/tdarr/` (gaming scheduler, monitoring)
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### Performance Improvements Achieved
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@ -264,8 +265,10 @@ Local Storage ← → Server + Node (same machine)
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5. **Scale to multiple nodes** as needed
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**Configuration Files**:
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- Server: `/home/cal/container-data/tdarr/docker-compose-clean.yml`
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- Node: `/mnt/NV2/Development/claude-home/start-tdarr-gpu-podman-clean.sh`
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- **Server**: `/mnt/NV2/Development/claude-home/examples/docker/tdarr-server-setup/docker-compose.yml`
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- **Node**: `/mnt/NV2/Development/claude-home/scripts/tdarr/start-tdarr-gpu-podman-clean.sh`
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- **Gaming Scheduler**: `/mnt/NV2/Development/claude-home/scripts/tdarr/tdarr-schedule-manager.sh`
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- **Monitoring**: `/mnt/NV2/Development/claude-home/scripts/monitoring/tdarr-timeout-monitor.sh`
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## Enhanced Monitoring System (2025-08-10)
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