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A full-stack SaaS deployment platform with AI-powered code review, secure environment variable management, and real-time container monitoring. Supports MERN, Django, and Flask stacks with automated CI/CD and role-based access control.

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Shard Platform

Enterprise AI-Powered Deployment & Code Review System

Vaultify Project - Production-ready deployment platform with integrated AI code analysis, real-time monitoring, and enterprise-grade security.


Technology Stack

Core Technologies

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

Development Stack

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

Backend Infrastructure

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

Deployment & DevOps

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

AI & Analysis

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

Platform Overview

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.

Core Capabilities

  • 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

System Architecture

Microservices Infrastructure

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│ 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 │
                       └─────────────────┘    └─────────────────┘

Technology Stack

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

Supported Application Stacks

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}


Key Features

1. Advanced Authentication System

  • 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

2. AI-Powered Code Review

  • 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

3. Enterprise Environment Management

  • 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

4. Vercel-Style Deployment Pipeline

  • 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

5. Comprehensive Admin Dashboard

  • 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

6. Enterprise Docker Containerization Engine

  • 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

7. High-Performance Nginx Infrastructure

  • 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

Security & Compliance

Data Protection

  • 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

Infrastructure Security

  • 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

Access Control

  • 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

Database Schema

Core Models

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

API Architecture

RESTful Endpoints

Authentication Routes (/api/auth)

  • POST /login - Email/password authentication
  • POST /register - User registration
  • GET /github/callback - GitHub OAuth callback
  • GET /google/callback - Google OAuth callback

Project Management (/api/projects)

  • GET / - List user projects
  • POST / - Create new project
  • GET /:id - Get project details
  • PUT /:id - Update project configuration
  • DELETE /:id - Delete project with cascade cleanup

Deployment Operations (/api/deployments)

  • GET / - List deployments
  • POST / - Create new deployment
  • GET /:id - Get deployment details
  • GET /:id/logs - Stream deployment logs

Environment Variables (/api/projects/:projectId/env)

  • GET / - List project environment variables
  • POST / - Create environment variable
  • PUT /:id - Update environment variable
  • DELETE /:id - Delete environment variable

Admin Operations (/api/admin)

  • GET /users - List all users
  • GET /system/health - System health metrics
  • GET /database/:table - Database table operations

Deployment Process

1. Repository Analysis

  • Clone repository with commit metadata extraction
  • Framework detection via file structure analysis
  • Dependency scanning and validation
  • Branch verification and conflict detection

2. AI Code Review & Multi-File Analysis

  • 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

3. Environment Configuration

  • Secure environment variable retrieval and decryption
  • Dynamic .env file generation with proper formatting
  • Framework-specific environment setup
  • Variable validation against project rules

4. Docker Build Process

  • Intelligent Dockerfile selection based on framework
  • Multi-stage builds with layer caching optimization
  • Build argument injection for customization
  • Image tagging with deployment metadata

5. Container Deployment

  • Health check validation during startup
  • Port binding and network connectivity testing
  • Resource monitoring during initial phase
  • Load balancer integration with SSL setup

6. Post-Deployment Verification

  • End-to-end connectivity testing
  • Performance baseline establishment
  • Log aggregation setup
  • Notification dispatch to configured channels

Monitoring & Observability

Real-Time Metrics

  • 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

Logging System

  • 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

Alerting & Notifications

  • 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

Development Workflow

Local Development Setup

  1. Prerequisites - Node.js 18+, MongoDB, Docker Desktop
  2. Environment Configuration - Copy .env.example to .env
  3. Service Startup - Backend (port 5000), Frontend (port 3000), Worker (port 9000)
  4. Database Initialization - MongoDB connection and admin user creation

Production Deployment

  1. Infrastructure Setup - Docker, MongoDB, Nginx configuration
  2. Environment Variables - Production secrets and configuration
  3. Service Deployment - Container orchestration and health checks
  4. Monitoring Setup - Log aggregation and alerting configuration

CI/CD Integration

  • 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

Performance & Scalability

Optimization Features

  • 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

Scaling Capabilities

  • 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

Enterprise Features

Admin Capabilities

  • 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

Security Features

  • 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

Integration Capabilities

  • 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

Internal Documentation

Code Organization

  • 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

Configuration Management

  • Environment Variables - Comprehensive .env.example with 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

Testing & Quality Assurance

  • 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


CI/CD Infrastructure & Container Support

Docker Integration for Development Teams

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

Nginx Reverse Proxy & Load Balancing

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

Full License Details:

For more information, please refer to the official license:
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International

© 2025 Vaultify Inc. All rights reserved.

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A full-stack SaaS deployment platform with AI-powered code review, secure environment variable management, and real-time container monitoring. Supports MERN, Django, and Flask stacks with automated CI/CD and role-based access control.

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