- Updated start-tdarr-gpu-podman-clean.sh to use mapped node with direct media access
- Changed container name from tdarr-node-gpu-unmapped to tdarr-node-gpu-mapped
- Changed node name from nobara-pc-gpu-unmapped to nobara-pc-gpu-mapped
- Updated volume mounts to map TV and Movies directories separately
- Preserved NVMe cache and temp directory configurations
- Updated documentation to reflect mapped node architecture
- Added comparison between mapped and unmapped configurations in examples
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Complete documentation package for home lab infrastructure:
## New Documentation Files:
- **Tdarr Monitoring Configuration**: Complete setup guide for Discord-based Tdarr monitoring system
- **NAS Mount Configuration**: SMB/CIFS mount setup and troubleshooting for media storage
- **Discord Monitoring Setup**: Step-by-step guide for webhook configuration and notification testing
## Documentation Features:
- **Reference Architecture**: Best practices for distributed Tdarr deployments
- **Configuration Templates**: Copy-paste ready configurations with security considerations
- **Troubleshooting Guides**: Common issues and solutions for production environments
- **Integration Examples**: Real-world implementation patterns for home lab environments
## Coverage Areas:
- Docker container orchestration and monitoring
- Network storage integration and performance optimization
- Automated alerting and notification systems
- Production-ready configuration management
These documents support the enhanced monitoring system and provide comprehensive guidance for maintaining a robust home lab infrastructure.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
## Tdarr Plugin Stack Research & Configuration
- Research optimal H.265/HEVC plugin stacks for quality-focused transcoding
- Configure GPU threshold (95%) to prevent self-termination during transcoding
- Add Tdarr exception logic to distinguish transcoding from gaming GPU usage
- Update gaming detection to preserve active transcoding jobs
## Automated System Maintenance
- Add cron job for automatic cleanup of abandoned Tdarr temp directories
- Cleanup runs every 6 hours, preserves active jobs (< 6 hours old)
- Prevents /tmp filesystem bloat from interrupted transcoding jobs
- Safe cleanup only targets Tdarr-specific work directories
## Enhanced Documentation
- Add comprehensive Tdarr automation documentation in scripts/tdarr/README.md
- Document cleanup system and its relationship to main scheduler
- Update CLAUDE.md with Tdarr keyword triggers and context loading
- Add troubleshooting section for both scheduler and cleanup cron jobs
## System Architecture Improvements
- Organize Tdarr scripts under dedicated scripts/tdarr/ directory
- Maintain backwards compatibility with existing cron jobs
- Add gaming-aware scheduling with configurable time windows
- Implement robust GPU usage detection with Tdarr transcoding awareness
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
