Roadmap

The Usenet Media Stack follows a structured development roadmap focused on professional-grade functionality, performance optimization, and user experience. This document outlines completed features, current development, and planned enhancements.

Current Status: Version 2.0 - Production Ready

Latest Release: v2.0.0 (2025-01-15)
Status: ✅ Production Ready
Architecture: Hot-swappable JBOD with universal GPU optimization

Core Features Complete ✅

• 19-Service Media Stack - Complete automation pipeline
• Hot-Swappable JBOD - Real-time drive management with zero downtime
• Universal GPU Support - NVIDIA, AMD, Intel, Raspberry Pi optimization
• Professional CLI - Modern subcommand architecture with rich completions
• Smart Backup System - Configuration-only backups with metadata
• Cloudflare Integration - Secure external access with automatic SSL

Development Phases

Phase 1: Foundation (COMPLETED) ✅

Goal: Establish robust, production-ready foundation

Core Infrastructure ✅

• Docker Compose orchestration with 19 services
• Environment-based configuration management
• Service health monitoring and logging
• Basic CLI with service management
• Manual storage configuration

Service Integration ✅

• Jellyfin media server with GPU transcoding
• Sonarr/Radarr automation with TRaSH Guide integration
• Prowlarr indexer management
• SABnzbd/Transmission download clients
• Overseerr request management
• Complete automation pipeline

Basic Deployment ✅

• Docker Compose deployment
• Service dependency management
• Port configuration and networking
• Volume management

Phase 2: Hot-Swappable JBOD Architecture (COMPLETED) ✅

Goal: Revolutionary storage management for portable media setups

Storage Revolution ✅

• Real-time drive detection - Automatic discovery of all storage types
• Hot-swap capability - Add/remove drives without service restart
• Cross-platform compatibility - exFAT support for camping/travel
• Universal service access - All 19 services automatically access new storage
• Dynamic Docker Compose - Automatic mount generation

CLI Architecture Overhaul ✅

• Pure subcommand system - Following Git/Docker patterns
• Component-based commands - storage, hardware, services, backup
• Three-tier help system - Context-aware documentation
• Rich completions - Professional zsh/bash tab completion
• Backward compatibility - Legacy syntax with deprecation warnings

Hardware Optimization Engine ✅

• Universal GPU detection - NVIDIA RTX, AMD VAAPI, Intel QuickSync, Pi VideoCore
• Automatic driver installation - One-command optimal driver setup
• Performance profiling - Real-world benchmarking and optimization
• Dynamic configuration - Hardware-tuned Docker Compose generation

Phase 3: Enterprise Features (IN PROGRESS) 🔄

Goal: Enterprise-grade reliability, monitoring, and automation

Advanced Monitoring (75% Complete) 🔄

• ✅ Service health monitoring with scores
• ✅ Resource usage tracking and alerts
• ✅ Performance benchmarking system
• 🔄 Grafana dashboard integration
• 🔄 Prometheus metrics collection
• ⏳ Advanced alerting (email, Discord, Slack)
• ⏳ Performance trend analysis

Backup & Disaster Recovery (90% Complete) 🔄

• ✅ Configuration-only backups (prevents TB-sized backups)
• ✅ JSON metadata with system information
• ✅ Atomic backup/restore operations
• ✅ Backup verification and integrity checking
• 🔄 Encrypted backup support
• 🔄 Remote backup destinations (S3, rsync)
• ⏳ Automated disaster recovery testing

API Integration & Automation (60% Complete) 🔄

• ✅ Service API discovery and management
• ✅ Storage pool synchronization with Sonarr/Radarr APIs
• 🔄 Webhook integration for external automation
• 🔄 Custom automation scripts and workflows
• ⏳ Advanced API rate limiting and authentication
• ⏳ Multi-site API synchronization

Phase 4: Intelligent Media Management (PLANNED) 📋

Goal: AI-powered content optimization and smart automation

Smart Duplicate Detection 📋

# Target user experience
usenet media duplicates scan
# → Discovers: Matrix.1999.1080p.mkv + Matrix.1999.4K.Remux.mkv
# → Recommends: Upgrade to 4K, preserve watch history, save 15GB
# → Action: One-click upgrade with cross-service coordination

Technical Implementation:

• Perceptual hashing - Content-aware duplicate detection beyond file hashes
• Fuzzy matching - Handle different cuts, editions, and quality versions
• API coordination - Seamless integration with Plex/Jellyfin watch history
• Quality scoring - Intelligent upgrade recommendations using TRaSH Guide rules
• Storage optimization - Net storage calculation for upgrade decisions

Content Quality Intelligence 📋

• Automatic quality upgrades - 720p → 4K when available and beneficial
• HDR detection and handling - Smart HDR10/Dolby Vision management
• Codec optimization - AV1 encoding for storage efficiency
• Watch history preservation - Maintain viewing progress across upgrades

Predictive Storage Management 📋

• Usage pattern analysis - Predict storage needs based on consumption
• Automatic cleanup - Remove unwatched content based on age and availability
• Smart caching - Pre-transcode popular content for faster streaming
• Bandwidth optimization - Quality adaptation based on network conditions

Phase 5: Advanced Deployment Options (PLANNED) 📋

Goal: Support complex deployment scenarios and scaling

Multi-Node Architecture 📋

• Cluster management - Deploy services across multiple servers
• Load balancing - Distribute transcoding and processing workloads
• Shared storage - Network-attached storage with redundancy
• High availability - Service failover and redundancy

Container Orchestration 📋

• Kubernetes support - Enterprise container orchestration
• Docker Swarm mode - Built-in Docker clustering
• Service mesh - Advanced networking and security
• Auto-scaling - Dynamic resource allocation based on demand

Advanced Security 📋

• Zero-trust networking - Mutual TLS between services
• RBAC integration - Role-based access control
• Audit logging - Comprehensive security event logging
• Compliance frameworks - GDPR, SOC2 compliance helpers

Phase 6: Mobile and Edge Computing (FUTURE) 🔮

Goal: Extend to mobile devices and edge computing scenarios

Mobile Applications 🔮

• Native mobile apps - iOS/Android management applications
• Progressive Web App - Mobile-optimized web interface
• Offline capabilities - Local media management without internet
• Sync functionality - Bidirectional sync with main server

Edge Computing 🔮

• Raspberry Pi optimization - Specialized ARM64 configurations
• IoT integration - Smart home automation integration
• Edge transcoding - Distributed processing across edge devices
• Mesh networking - Peer-to-peer content distribution

Technical Debt and Refactoring

Ongoing Improvements 🔄

Code Quality

• Stan Eisenstat Standards - Continuous adherence to Bell Labs coding principles
• Test coverage expansion - Unit and integration test improvements
• Documentation updates - Keep pace with feature development
• Performance optimization - Continuous benchmarking and tuning

Architecture Evolution

• Configuration system modernization - Move to structured config formats
• API standardization - Consistent REST APIs across components
• Event-driven architecture - Transition to event-based service communication
• Modular plugin system - Allow third-party extensions

Community and Ecosystem

Community Features ✅ / 🔄

• ✅ Open source - Apache 2.0 license
• ✅ Comprehensive documentation - Professional-grade documentation site
• ✅ Issue tracking - GitHub Issues with templates
• 🔄 Community forum - Dedicated discussion platform
• 🔄 Plugin ecosystem - Third-party plugin support
• ⏳ Professional support - Commercial support options

Integration Ecosystem 🔄

• ✅ TRaSH Guide integration - Automatic quality profile optimization
• 🔄 Third-party service support - Plex, Emby, Kodi integration
• 🔄 Cloud provider support - AWS, GCP, Azure deployment guides
• ⏳ Home automation - Home Assistant, OpenHAB integration

Performance and Optimization Goals

Current Performance Metrics ✅

Metric	Current Achievement	Target
4K HEVC Transcoding	60+ FPS (GPU) vs 2-5 FPS (CPU)	Maintain leadership
Service Startup Time	❤️ minutes for full stack	<2 minutes
Storage Hot-Swap	<30 seconds	<15 seconds
Memory Usage	8-16GB for full stack	6-12GB
CPU Usage (idle)	<10% on modern systems	<5%

Optimization Targets 📋

• Startup optimization - Parallel service initialization
• Memory efficiency - Reduced per-service memory footprint
• Network optimization - Improved container networking performance
• Storage efficiency - Faster file operations and reduced I/O

Security Roadmap

Current Security Features ✅

• ✅ Zero exposed ports - Cloudflare Tunnel architecture
• ✅ API authentication - Service-level security
• ✅ Container isolation - Docker network segmentation
• ✅ Automatic SSL - Cloudflare-managed certificates

Planned Security Enhancements 📋

• Multi-factor authentication - TOTP, hardware key support
• Certificate management - Let's Encrypt integration
• Intrusion detection - Automated threat monitoring
• Security scanning - Container vulnerability assessment

Release Schedule

Version 2.x Series (Current)

• v2.0.0 ✅ - Hot-swappable JBOD, CLI overhaul, hardware optimization
• v2.1.0 🔄 - Advanced monitoring, encrypted backups (Q1 2025)
• v2.2.0 📋 - Multi-node support, Kubernetes integration (Q2 2025)
• v2.3.0 📋 - Smart media management, duplicate detection (Q3 2025)

Version 3.x Series (Future)

• v3.0.0 🔮 - AI-powered content management (Q4 2025)
• v3.1.0 🔮 - Mobile applications, edge computing (Q1 2026)
• v3.2.0 🔮 - Advanced analytics, predictive management (Q2 2026)

Contributing to the Roadmap

How to Influence Development

1. Feature Requests - Open GitHub Issues with detailed use cases
2. Community Feedback - Participate in forum discussions
3. Pull Requests - Contribute code for planned features
4. Testing - Beta test new features and provide feedback
5. Documentation - Help improve documentation and tutorials

Priority Factors

Development priorities are determined by:

• User impact - Features benefiting the most users get priority
• Technical debt - Maintenance of existing features
• Performance gains - Optimizations providing measurable improvements
• Community contribution - Features with community development support
• Professional use cases - Enterprise and professional deployment needs

Feedback and Input

Current Focus Areas

We're particularly interested in feedback on:

• Multi-node deployment scenarios - Complex setups and scaling needs
• Performance optimization - Bottlenecks in your specific environment
• Storage management - Additional storage types and workflows
• Integration requirements - Third-party services you'd like to integrate

Contact Channels

• GitHub Issues - Feature requests and bug reports
• Community Forum - General discussion and support
• Discord Server - Real-time community chat
• Email - Direct contact for enterprise/professional inquiries

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This roadmap is a living document, updated quarterly based on community feedback, technical developments, and changing user needs. The Usenet Media Stack remains committed to professional-grade quality while maintaining simplicity and reliability.

Last Updated: January 15, 2025
Next Review: April 15, 2025