Vaultify Project - Production-ready deployment platform with integrated AI code analysis, real-time monitoring, and enterprise-grade security.
| Component | Technology | Purpose |
|---|---|---|
| Frontend | React | Modern SPA with component architecture |
| Backend API | Node.js + Express | RESTful API server with middleware |
| Database | MongoDB | Document database with caching |
| Containerization | Docker Engine | Application containerization |
| Reverse Proxy | Nginx | Load balancing and SSL termination |
| Real-time Communication | Socket.io | WebSocket connections |
| Authentication | JWT + OAuth | Secure token-based auth |
| Layer | Technologies | Features |
|---|---|---|
| Frontend | React, Tailwind CSS, React Router | SPA, Dark mode, Protected routes |
| State Management | Context API, Custom hooks | Global state, Authentication |
| HTTP Client | Axios | Request/response interceptors |
| UI Components | Headless UI, Lucide React | Accessible components, Icons |
| Build Tools | React Scripts, PostCSS | Development server, CSS processing |
| Service | Technology Stack | Capabilities |
|---|---|---|
| API Server | Express.js, Helmet, CORS | Security headers, Cross-origin support |
| Database Layer | Mongoose, MongoDB | ODM, Schema validation, Indexing |
| Authentication | JWT, bcrypt, Passport | Token management, Password hashing |
| Logging | Winston, Morgan | Structured logging, Request logging |
| Validation | Joi, Express Validator | Input validation, Schema validation |
| Caching | Node Cache | In-memory caching layer |
| Component | Technology | Configuration |
|---|---|---|
| Container Runtime | Docker Engine | Multi-stage builds, Layer caching |
| Orchestration | Custom Worker Service | Job queue, Health monitoring |
| Proxy & Load Balancer | Nginx | Dynamic config, SSL automation |
| Process Management | PM2 / Docker | Auto-restart, Clustering |
| Environment Management | dotenv, Docker secrets | Secure variable injection |
| Model/Service | Specification | Use Case |
|---|---|---|
| DeepSeek Coder Lite | 6.7B params, Q4_K_M, 1024 context, 24 GPU layers | Quick code reviews and syntax analysis |
| DeepSeek LLM Full | 7B params, Q4_K_M, 2048 context, 32 GPU layers | Complex analysis and architectural review |
| CodeLlama Lite | 7B params, Q3_K_M, 1024 context, 28 GPU layers | Web application code analysis |
| CodeLlama Full | 7B params, Q4_K_M, 2048 context, 36 GPU layers | Deep code analysis and refactoring |
| Mistral 7B Instruct | 7B params, Q4_K_M, 1024 context, 28 GPU layers | General purpose code review |
| Falcon 7B Premium | 7B params, Q4_K_M, 4096 context, 32 GPU layers | Large file and project-wide analysis |
| GPU Acceleration | RTX 3050, CuPy validation, llama-cpp-python | Hardware-accelerated inference |
| Multi-File Context Engine | AST parsing, dependency mapping, import analysis | Repository-wide context understanding |
| Security & Vulnerability Scanner | Pattern matching, CVE databases, OWASP rules | Security compliance and threat detection |
Shard is a comprehensive cloud deployment platform that provides a Vercel-like experience with advanced AI code review capabilities. Built for enterprise environments, it supports multiple technology stacks with automated containerization, real-time monitoring, and sophisticated project management.
- AI-Powered Code Review - Automated security, quality, and performance analysis
- One-Click Deployments - GitHub to production in under 60 seconds
- Multi-Stack Support - MERN, Django, Flask with auto-detection
- Enterprise Security - JWT auth, OAuth, encrypted environment variables
- Real-Time Monitoring - Live deployment logs and system health tracking
- Admin Dashboard - Comprehensive system management and user administration
┌─────────────────┐ ┌─────────────────┐ ┌─────────────────┐
│ React Frontend │ │ Node.js Backend │ │Deployment Worker│
│ Port: 3000 │◄──►│ Port: 5000 │◄──►│ Port: 9000 │
└─────────────────┘ └─────────────────┘ └─────────────────┘
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ MongoDB │ │ Docker Engine │
│ Database │ │ + Nginx Proxy │
└─────────────────┘ └─────────────────┘
│ │
▼ ▼
┌─────────────────┐ ┌─────────────────┐
│ AI Review │ │ Application │
│ Service │ │ Containers │
│ Port: 8000 │ │ Ports: 12k-14k │
└─────────────────┘ └─────────────────┘
Backend Services:
- Node.js/Express - RESTful API with JWT authentication
- MongoDB - Primary database with caching layer
- Socket.io - Real-time WebSocket communication
- Winston - Comprehensive logging with rotation
Frontend Application:
- React - Modern SPA with Context API state management
- Tailwind CSS - Utility-first styling with dark mode
- React Router - Client-side routing with protected routes
- Axios - HTTP client with request/response interceptors
Deployment Infrastructure:
- Docker Engine - Enterprise containerization with multi-stage builds, layer caching, and orchestration
- Nginx - High-performance reverse proxy, load balancer, and SSL termination
- Python Flask - AI code review service with GPU acceleration
- Express Worker - Dedicated deployment processing with queue management
| Framework | Port | Container | Status |
|---|---|---|---|
| MERN Stack | 12000/12001 | Frontend + Backend | ✅ Production Ready |
| Django | 13000 | Gunicorn WSGI | ✅ Production Ready |
| Flask | 14000 | Gunicorn WSGI | ✅ Production Ready |
Deployment URLs: https://{project-subdomain}.localhost:{port}
- Multi-Provider OAuth - GitHub, Google, and email/password
- Role-Based Access Control - User and admin roles with granular permissions
- JWT Token Management - Secure authentication with refresh tokens
- Session Persistence - Maintains user state across browser sessions
- Multi-Model Analysis - DeepSeek, CodeLlama, Mistral, and Falcon 7B models
- GPU-Accelerated Processing - RTX 3050 optimization with CuPy validation
- Multi-File Context Analysis - AST parsing with project-wide dependency mapping
- Repository Intelligence - Cross-file linking and import dependency analysis
- Security Analysis - OWASP Top 10, vulnerability detection with CVE integration
- Code Quality Assessment - Maintainability scoring and performance optimization
- Runtime Error Prediction - Type consistency checking and error forecasting
- Automated Verdicts - Approve, deny, or manual review recommendations
- AES-256 Encryption - All environment variables encrypted at rest
- Secret Management - Masked display with reveal functionality
- Validation System - UPPER_SNAKE_CASE enforcement, duplicate detection
- Runtime Injection - Secure .env file generation for containers
- 7-Stage Process - Clone → AI Review → Environment → Build → Deploy → Health → Verify
- Real-Time Progress - WebSocket-based live updates with visual indicators
- Atomic Deployments - All-or-nothing approach with rollback capability
- Zero-Downtime - Blue-green deployment strategy with health checks
- System Health Monitoring - Real-time service status and performance metrics
- Database Administration - Full CRUD operations with audit trails
- User Management - Complete user lifecycle with role assignment
- Resource Analytics - CPU, memory, storage utilization tracking
- Advanced Multi-Architecture Support - Native AMD64 and ARM64 compatibility with cross-platform builds
- Intelligent Layer Caching - Sophisticated build optimization reducing deployment times by 80%
- Dynamic Resource Management - Real-time CPU/memory allocation with auto-scaling capabilities
- Comprehensive Health Monitoring - Multi-level health checks with predictive failure detection
- Container Orchestration - Advanced scheduling and load distribution across infrastructure
- Security Hardening - Rootless containers, image scanning, and vulnerability assessment
- Performance Optimization - Multi-stage builds with minimal attack surface and optimized runtime
- Enterprise-Grade Reverse Proxy - Lightning-fast request routing with "sub-millisecond" latency
- Advanced Load Balancing - Intelligent traffic distribution with health-aware routing algorithms
- Dynamic SSL/TLS Termination - Automatic certificate provisioning and renewal with SNI support
- Sophisticated Caching Engine - Multi-tier caching with intelligent cache invalidation and CDN integration
- DDoS Protection & Rate Limiting - Advanced threat detection with real-time traffic analysis
- Compression & Optimization - Brotli and Gzip compression with static asset optimization
- WebSocket Proxy Support - Seamless real-time communication with connection pooling
- Custom Configuration Engine - Dynamic configuration generation for multi-tenant environments
- Encryption at Rest - All sensitive data encrypted using AES-256
- Secure Transmission - HTTPS/WSS for all client-server communication
- Input Validation - Comprehensive sanitization and validation
- Audit Logging - Complete operation trails for compliance
- Container Isolation - Docker security with resource limits
- Network Segmentation - Isolated container networks
- Rate Limiting - DDoS protection and abuse prevention
- Security Headers - CSP, HSTS, and other security headers
- JWT Authentication - Stateless token-based security
- OAuth Integration - Secure third-party authentication
- Role-Based Permissions - Granular access control system
- Session Management - Secure session handling with expiration
User Model:
- Authentication fields (email, password hash, OAuth IDs)
- Profile information (name, avatar, bio, location)
- GitHub integration tokens (separate from auth)
- Role assignment and account status
Project Model:
- Repository information and framework detection
- Subdomain generation and URL mapping
- Build/deployment configuration
- Environment variable references
Deployment Model:
- Status tracking through deployment pipeline
- AI review results and verdict storage
- Build logs and performance metrics
- Container and URL information
Environment Variables:
- Encrypted key-value storage
- Secret flagging and access control
- Project association and validation
- Audit trail for modifications
Authentication Routes (/api/auth)
POST /login- Email/password authenticationPOST /register- User registrationGET /github/callback- GitHub OAuth callbackGET /google/callback- Google OAuth callback
Project Management (/api/projects)
GET /- List user projectsPOST /- Create new projectGET /:id- Get project detailsPUT /:id- Update project configurationDELETE /:id- Delete project with cascade cleanup
Deployment Operations (/api/deployments)
GET /- List deploymentsPOST /- Create new deploymentGET /:id- Get deployment detailsGET /:id/logs- Stream deployment logs
Environment Variables (/api/projects/:projectId/env)
GET /- List project environment variablesPOST /- Create environment variablePUT /:id- Update environment variableDELETE /:id- Delete environment variable
Admin Operations (/api/admin)
GET /users- List all usersGET /system/health- System health metricsGET /database/:table- Database table operations
- Clone repository with commit metadata extraction
- Framework detection via file structure analysis
- Dependency scanning and validation
- Branch verification and conflict detection
- Repository Context Building - AST-based parsing with project-wide dependency mapping
- Cross-File Intelligence - Import validation and inter-file relationship analysis
- Multi-Model Processing - DeepSeek, CodeLlama, Mistral, and Falcon 7B models with GPU acceleration
- Token-Aware Chunking - Intelligent code segmentation for optimal context windows
- Security vulnerability scanning - OWASP compliance with CVE database integration
- Code quality assessment - Maintainability scoring and performance optimization
- Runtime error prediction - Type consistency checking and dependency analysis
- Project-wide context - Understanding relationships between multiple repository files
- Secure environment variable retrieval and decryption
- Dynamic .env file generation with proper formatting
- Framework-specific environment setup
- Variable validation against project rules
- Intelligent Dockerfile selection based on framework
- Multi-stage builds with layer caching optimization
- Build argument injection for customization
- Image tagging with deployment metadata
- Health check validation during startup
- Port binding and network connectivity testing
- Resource monitoring during initial phase
- Load balancer integration with SSL setup
- End-to-end connectivity testing
- Performance baseline establishment
- Log aggregation setup
- Notification dispatch to configured channels
- System Health - CPU, memory, disk, network utilization
- Application Performance - Response times, error rates, throughput
- Container Metrics - Resource usage, health status, restart counts
- Database Performance - Query times, connection pool status
- Structured Logging - JSON format with correlation IDs
- Log Aggregation - Centralized collection from all services
- Log Rotation - Automatic rotation with configurable retention
- Search & Filter - Advanced log search with regex support
- Health Checks - Continuous monitoring with threshold alerts
- Performance Alerts - Response time and error rate notifications
- Deployment Notifications - Success/failure alerts via email
- System Alerts - Resource utilization and capacity warnings
- Prerequisites - Node.js 18+, MongoDB, Docker Desktop
- Environment Configuration - Copy
.env.exampleto.env - Service Startup - Backend (port 5000), Frontend (port 3000), Worker (port 9000)
- Database Initialization - MongoDB connection and admin user creation
- Infrastructure Setup - Docker, MongoDB, Nginx configuration
- Environment Variables - Production secrets and configuration
- Service Deployment - Container orchestration and health checks
- Monitoring Setup - Log aggregation and alerting configuration
- GitHub Actions - Automated testing and deployment pipelines
- Docker Registry - Container image management and versioning
- Environment Promotion - Staged deployment across environments
- Rollback Procedures - Automated rollback on deployment failures
- Database Caching - Redis integration for frequently accessed data
- API Response Caching - Intelligent caching with TTL management
- Container Optimization - Multi-stage builds with minimal base images
- Static Asset Optimization - CDN integration and compression
- Horizontal Scaling - Stateless API design for load balancing
- Container Orchestration - Docker Swarm/Kubernetes compatibility
- Database Scaling - MongoDB replica sets and sharding support
- Resource Management - Dynamic resource allocation based on load
- User Management - Complete user lifecycle with bulk operations
- System Monitoring - Real-time dashboard with performance analytics
- Database Administration - Direct database access with safety controls
- Audit Logging - Comprehensive activity tracking for compliance
- Multi-Factor Authentication - TOTP and SMS-based 2FA support
- Single Sign-On - SAML/OIDC integration for enterprise identity
- Compliance Reporting - Automated reports for regulatory requirements
- Data Retention - Configurable retention policies with automated cleanup
- Webhook Support - External system notifications and integrations
- API Access - RESTful APIs for third-party tool integration
- LDAP Integration - Enterprise directory service connectivity
- Custom Plugins - Extensible architecture for custom functionality
- Backend -
/backend- Node.js API server with controllers, models, routes - Frontend -
/frontend- React application with components, pages, context - Deployment Worker -
/deployment-worker- Docker orchestration service - AI Review -
/ai-review- Python-based code analysis service
- Environment Variables - Comprehensive
.env.examplewith all required settings - Database Models - Mongoose schemas with validation and indexing
- Docker Configuration - Multi-framework Dockerfiles with optimization
- Nginx Configuration - Dynamic proxy configuration for subdomain routing
- Unit Tests - Comprehensive test coverage for all core functionality
- Integration Tests - End-to-end testing of deployment workflows
- Security Testing - Automated security scanning and vulnerability assessment
- Performance Testing - Load testing and performance benchmarking
Shard provides comprehensive Docker support designed for modern development workflows:
- Multi-Stage Build Optimization - Automated build process with layer caching for faster iterations
- Framework-Specific Dockerfiles - Pre-configured containers for MERN, Django, and Flask stacks
- Development Environment Parity - Consistent environments from local development to production
- Resource Management - Configurable CPU and memory limits with auto-scaling capabilities
- Security Scanning - Integrated vulnerability assessment and CVE monitoring
- Build Artifact Management - Efficient image storage and version control
- Container Health Monitoring - Automated health checks with restart policies
Production-ready Nginx configuration handles traffic management and SSL termination:
- Automatic Subdomain Routing - Dynamic configuration generation for each deployed project
- SSL Certificate Management - Automated certificate provisioning and renewal
- Load Balancing - Traffic distribution across multiple container instances
- Static Asset Optimization - Efficient serving of CSS, JS, and media files with compression
- WebSocket Support - Seamless proxy for real-time applications and live updates
- Rate Limiting & Security - Built-in protection against abuse and DDoS attacks
- Performance Caching - Intelligent caching strategies for improved response times
- Zero-Downtime Deployments - Blue-green deployment support with health checks
Internal Project Status: Production Ready
Last Updated: December 2024
Developed & Maintained By: Vaultify Engineering Team
License: Internal and External Use Only - Vaultify Proprietary under Creative Commons
For more information, please refer to the official license:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
© 2025 Vaultify Inc. All rights reserved.