de8481c7f2
Hardware Details: - CPU: Intel Xeon E5-2670 v3 (24 cores) @ 3.10 GHz - Memory: 31.24 GiB RAM - Excellent performance for containerized applications Performance Capabilities: ✅ High-concurrency Forgejo with simultaneous CI/CD builds ✅ Real-time 4K media transcoding for Jellyfin ✅ 10-20+ simultaneous containers without resource constraints ✅ PostgreSQL with excellent query performance ✅ Parallel compilation of large codebases ✅ Room for future expansion (Kubernetes, monitoring stack) This hardware makes grey-area a powerhouse application server
76 lines
3 KiB
Org Mode
76 lines
3 KiB
Org Mode
#+TITLE: Grey Area - Application Server
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#+AUTHOR: Geir Okkenhaug Jerstad
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#+DATE: [2025-06-04 Wed]
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* Machine Overview
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** Role
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- **Primary Function**: Multi-purpose application server
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- **Character**: Like the Culture GCU =Grey Area= - versatile, handles ambiguous/varied tasks
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- **Core Service**: Forgejo (Git hosting and project management)
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** Primary Services
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*** Forgejo Git Hosting
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- Self-hosted Git repositories
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- Issue tracking and project management
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- CI/CD pipelines
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- User and organization management
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- Pull request workflows
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- Container registry (if needed)
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*** Secondary Applications
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- Jellyfin or Plex (media server)
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- Nextcloud (file synchronization and sharing)
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- Grafana (metrics visualization)
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- Home Assistant (home automation, if desired)
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- Various containerized web applications
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** Architecture Notes
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- Container-focused deployment (Podman/Docker)
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- Headless operation (no desktop environment)
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- SSH access for administration
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- Reverse proxy integration with =reverse-proxy= machine
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- Database support (PostgreSQL for Forgejo)
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** Hardware Specifications
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- **CPU**: Intel Xeon E5-2670 v3 (24 cores) @ 3.10 GHz
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- **Memory**: 31.24 GiB RAM
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- **Storage**: SSD for application data and Git repositories
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- **Network**: Integration with =sleeper-service= for bulk storage
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- **Performance**: Excellent for containerized applications and CI/CD workloads
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** Resource Allocation Strategy
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- **Forgejo**: 4-6 GB RAM, dedicated CPU cores for Git operations and CI/CD
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- **PostgreSQL**: 2-4 GB RAM for database operations
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- **Jellyfin**: 4-8 GB RAM for media transcoding (hardware acceleration if available)
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- **Containers**: Remaining resources distributed across secondary applications
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- **System Reserve**: 8-10 GB RAM kept free for system operations and burst capacity
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** Integration Points
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- **reverse-proxy**: SSL termination and external routing
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- **sleeper-service**: Network storage for large files/backups
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- **congenital-optimist**: Development workflow integration
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- **All machines**: Centralized Git repository hosting
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** Data Management
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- Git repositories (local SSD for performance)
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- Application databases (PostgreSQL, SQLite)
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- Media files (network storage or local cache)
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- Configuration backups to =sleeper-service=
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** Security Considerations
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- Container isolation
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- User authentication (LDAP/OIDC integration possible)
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- Regular security updates
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- Backup and disaster recovery
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- Network segmentation
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** Performance Capabilities
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With 24 cores and 31GB RAM, this machine can handle:
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- **High-Concurrency Forgejo**: Multiple simultaneous Git operations, CI/CD builds
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- **Media Transcoding**: Real-time 4K transcoding for Jellyfin without performance impact
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- **Development Builds**: Parallel compilation of large codebases via CI/CD
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- **Container Orchestration**: 10-20+ simultaneous containers without resource constraints
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- **Database Performance**: PostgreSQL with excellent query performance and caching
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- **Future Expansion**: Room for additional services like Kubernetes, monitoring stack
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