183 lines
4.2 KiB
Markdown
183 lines
4.2 KiB
Markdown
# Software Design Specification (SDS)
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## AtlasOS - Calypso Backup Appliance
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### Alpha Release
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**Version:** 1.0.0-alpha
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**Date:** 2025-01-XX
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**Status:** In Development
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---
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## 1. Introduction
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### 1.1 Purpose
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This document provides a comprehensive Software Design Specification (SDS) for AtlasOS - Calypso, describing the system architecture, component design, database schema, API design, and implementation details.
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### 1.2 Scope
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This SDS covers:
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- System architecture and design patterns
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- Component structure and organization
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- Database schema and data models
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- API design and endpoints
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- Security architecture
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- Deployment architecture
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- Integration patterns
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### 1.3 Document Organization
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- **SDS-01**: System Architecture
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- **SDS-02**: Backend Design
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- **SDS-03**: Frontend Design
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- **SDS-04**: Database Design
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- **SDS-05**: API Design
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- **SDS-06**: Security Design
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- **SDS-07**: Integration Design
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---
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## 2. System Architecture Overview
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### 2.1 High-Level Architecture
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Calypso follows a three-tier architecture:
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1. **Presentation Layer**: React-based SPA
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2. **Application Layer**: Go-based REST API
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3. **Data Layer**: PostgreSQL database
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### 2.2 Architecture Patterns
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- **Clean Architecture**: Separation of concerns, domain-driven design
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- **RESTful API**: Resource-based API design
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- **Repository Pattern**: Data access abstraction
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- **Service Layer**: Business logic encapsulation
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- **Middleware Pattern**: Cross-cutting concerns
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### 2.3 Technology Stack
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#### Backend
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- **Language**: Go 1.21+
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- **Framework**: Gin web framework
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- **Database**: PostgreSQL 14+
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- **Authentication**: JWT tokens
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- **Logging**: Zerolog structured logging
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#### Frontend
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- **Framework**: React 18 with TypeScript
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- **Build Tool**: Vite
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- **Styling**: TailwindCSS
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- **State Management**: Zustand + TanStack Query
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- **Routing**: React Router
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- **HTTP Client**: Axios
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---
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## 3. Design Principles
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### 3.1 Separation of Concerns
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- Clear boundaries between layers
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- Single responsibility principle
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- Dependency inversion
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### 3.2 Scalability
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- Stateless API design
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- Horizontal scaling capability
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- Efficient database queries
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### 3.3 Security
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- Defense in depth
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- Principle of least privilege
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- Input validation and sanitization
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### 3.4 Maintainability
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- Clean code principles
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- Comprehensive logging
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- Error handling
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- Code documentation
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### 3.5 Performance
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- Response caching
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- Database query optimization
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- Efficient data structures
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- Background job processing
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---
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## 4. System Components
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### 4.1 Backend Components
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- **Auth**: Authentication and authorization
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- **Storage**: ZFS and storage management
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- **Shares**: SMB/NFS share management
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- **SCST**: iSCSI target management
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- **Tape**: Physical and VTL management
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- **Backup**: Bacula/Bareos integration
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- **System**: System service management
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- **Monitoring**: Metrics and alerting
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- **IAM**: User and access management
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### 4.2 Frontend Components
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- **Pages**: Route-based page components
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- **Components**: Reusable UI components
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- **API**: API client and queries
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- **Store**: Global state management
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- **Hooks**: Custom React hooks
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- **Utils**: Utility functions
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---
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## 5. Data Flow
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### 5.1 Request Flow
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1. User action in frontend
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2. API call via Axios
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3. Request middleware (auth, logging, rate limiting)
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4. Handler processes request
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5. Service layer business logic
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6. Database operations
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7. Response returned to frontend
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8. UI update via React Query
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### 5.2 Background Jobs
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- Disk monitoring (every 5 minutes)
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- ZFS pool monitoring (every 2 minutes)
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- Metrics collection (every 30 seconds)
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- Alert rule evaluation (continuous)
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---
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## 6. Deployment Architecture
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### 6.1 Single-Server Deployment
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- Backend API service (systemd)
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- Frontend static files (nginx/caddy)
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- PostgreSQL database
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- External services (ZFS, SCST, Bacula)
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### 6.2 Service Management
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- Systemd service files
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- Auto-restart on failure
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- Log rotation
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- Health checks
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---
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## 7. Future Enhancements
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### 7.1 Scalability
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- Multi-server deployment
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- Load balancing
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- Database replication
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- Distributed caching
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### 7.2 Features
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- WebSocket real-time updates
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- GraphQL API option
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- Microservices architecture
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- Container orchestration
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---
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## Document History
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| Version | Date | Author | Changes |
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|---------|------|--------|---------|
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| 1.0.0-alpha | 2025-01-XX | Development Team | Initial SDS document |
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