TrackurIssue - Enterprise Issue Tracking System

A comprehensive issue tracking and project management system built with Node.js, React, MongoDB, and Redis. Features advanced scalability, reliability, and monitoring capabilities.

🚀 Features

Core Functionality

• Issue Management: Create, assign, track, and resolve issues
• Project Management: Sprint planning, milestone tracking, Kanban boards
• Team Collaboration: Real-time chat, notifications, team management
• Role-Based Access Control: Admin, Team Leader, Employee roles with granular permissions

Scalability & Reliability Features

• Caching Layer: Redis-based caching for improved performance
• Comprehensive Logging: Structured logging with Winston
• Application Performance Monitoring (APM): Real-time metrics and alerts
• Enhanced Authentication: JWT with refresh tokens and RBAC
• Database Optimization: Indexing strategies and query optimization
• Graceful Shutdown: Proper resource cleanup and connection management

🏗️ Architecture

┌─────────────────┐    ┌─────────────────┐    ┌─────────────────┐
│   Frontend      │    │   Backend API   │    │   Database      │
│   (React)       │◄──►│   (Node.js)     │◄──►│   (MongoDB)     │
│                 │    │                 │    │                 │
└─────────────────┘    └─────────────────┘    └─────────────────┘
                              │
                              ▼
                       ┌─────────────────┐
                       │   Cache Layer   │
                       │   (Redis)       │
                       └─────────────────┘

📋 Prerequisites

• Node.js 18+ and npm
• MongoDB 5.0+
• Redis 6.0+
• Docker and Docker Compose (optional)

🛠️ Installation

Option 1: Docker Compose (Recommended)

1. Clone the repository

   git clone <repository-url>
   cd trackurissue

2. Configure environment variables

   cp .env.example .env
   # Edit .env with your configuration

3. Start all services

   docker-compose up -d

4. Access the application

   • Frontend: http://localhost:3000
   • Backend API: http://localhost:3001
   • Monitoring Dashboard: http://localhost:3001/api/monitoring/health

Option 2: Manual Installation

1. Install dependencies

   # Backend
   cd backend
   npm install
   
   # Frontend
   cd ../frontend
   npm install

2. Start MongoDB and Redis

   # MongoDB
   mongod --dbpath /path/to/data
   
   # Redis
   redis-server

3. Configure environment

   cp .env.example .env
   # Edit .env with your configuration

4. Start the services

   # Backend (in backend directory)
   npm start
   
   # Frontend (in frontend directory)
   npm start

🔧 Configuration

Environment Variables

Key configuration options in .env:

# Database
MONGODB_URI=mongodb://localhost:27017/trackurissue
REDIS_URL=redis://localhost:6379

# Security
JWT_SECRET=your-jwt-secret
REFRESH_TOKEN_SECRET=your-refresh-secret

# Performance
LOG_LEVEL=info
CACHE_TTL_DEFAULT=3600
RATE_LIMIT_MAX_REQUESTS=100

Logging Configuration

Logs are categorized and stored in separate files:

• app-combined.log - General application logs
• app-error.log - Error logs
• security.log - Security events
• performance.log - Performance metrics
• audit.log - User actions and data changes
• database.log - Database operations

📊 Monitoring & Observability

Application Performance Monitoring

Access the monitoring dashboard at /api/monitoring/metrics (admin only):

• System Metrics: CPU, memory, uptime
• Request Metrics: Response times, success rates, error rates
• Database Performance: Query times, slow queries, connection pool
• Cache Performance: Hit rates, miss rates
• Real-time Alerts: Configurable thresholds and notifications

Health Checks

• Endpoint: /api/monitoring/health
• Checks: Database connectivity, Redis availability, system resources
• Response: JSON with detailed health status

Metrics Available

{
  "requests": {
    "total": 1000,
    "successRate": 0.95,
    "avgResponseTime": 150,
    "p95ResponseTime": 300,
    "p99ResponseTime": 500
  },
  "database": {
    "queries": 500,
    "slowQueries": 5,
    "errorRate": 0.01
  },
  "cache": {
    "hitRate": 0.85,
    "hits": 850,
    "misses": 150
  },
  "system": {
    "memory": { "usage": 0.65 },
    "cpu": { "loadAverage": [1.2, 1.1, 1.0] },
    "uptime": 86400
  }
}

🔐 Security Features

Authentication & Authorization

• JWT Tokens: Access tokens (1h) + Refresh tokens (7d)
• Role-Based Access Control: Granular permissions system
• Session Management: Secure session handling with Redis
• Rate Limiting: Configurable per-user/IP limits

Security Monitoring

• Failed Login Attempts: Automatic detection and alerting
• Unauthorized Access: Logging and monitoring
• Suspicious Activity: Pattern detection and alerts
• Audit Trail: Complete user action logging

Permissions Matrix

Role	Permissions
Admin	Full system access, user management, monitoring
Team Leader	Team management, project oversight, team metrics
Employee	Assigned issues, team collaboration, personal dashboard

🚀 Performance Optimization

Caching Strategy

• User Data: 1 hour TTL
• Team Information: 1 hour TTL
• Issue Lists: 5 minutes TTL
• Dashboard Stats: 5 minutes TTL
• Session Data: 24 hours TTL

Database Optimization

• Indexes: Compound indexes on frequently queried fields
• Aggregation: Optimized pipelines for complex queries
• Connection Pooling: Configurable pool size and timeouts

API Optimization

• Pagination: Limit large result sets
• Field Selection: Return only required fields
• Compression: Gzip compression for responses
• Rate Limiting: Prevent API abuse

📈 Scalability Considerations

Horizontal Scaling

• Load Balancing: Multiple API server instances
• Database Scaling: MongoDB replica sets and sharding
• Cache Distribution: Redis clustering
• CDN Integration: Static asset delivery

Vertical Scaling

• Memory Optimization: Efficient data structures and caching
• CPU Optimization: Async operations and worker threads
• I/O Optimization: Connection pooling and batching

Monitoring Thresholds

Default alert thresholds:

• Response time: > 1000ms
• Error rate: > 5%
• Memory usage: > 85%
• CPU usage: > 80%
• Database connection pool: > 90%

🔄 API Endpoints

Authentication

• POST /api/auth/refresh - Refresh access token
• POST /api/auth/logout - Logout user
• GET /api/auth/validate - Validate token
• POST /api/auth/change-password - Change password

Monitoring (Admin Only)

• GET /api/monitoring/health - System health check
• GET /api/monitoring/metrics - Performance metrics
• GET /api/monitoring/alerts - Active alerts
• POST /api/monitoring/alerts/:id/resolve - Resolve alert

Project Management

• GET /api/sprints - List sprints
• POST /api/sprints - Create sprint
• PUT /api/sprints/:id - Update sprint
• DELETE /api/sprints/:id - Delete sprint
• GET /api/milestones - List milestones
• POST /api/milestones - Create milestone

🧪 Testing

# Backend tests
cd backend
npm test

# Frontend tests
cd frontend
npm test

# Integration tests
npm run test:integration

# Coverage report
npm run test:coverage

📦 Deployment

Production Deployment

1. Build the application

   docker-compose -f docker-compose.yml -f docker-compose.prod.yml up -d

2. Configure reverse proxy (Nginx example)

   server {
       listen 80;
       server_name your-domain.com;
       
       location / {
           proxy_pass http://localhost:3000;
       }
       
       location /api {
           proxy_pass http://localhost:3001;
       }
   }

3. Set up SSL/TLS

   certbot --nginx -d your-domain.com

Environment-Specific Configurations

• Development: Full logging, debug mode, hot reload
• Staging: Production-like with debug capabilities
• Production: Optimized performance, minimal logging, security hardened

🔍 Troubleshooting

Common Issues

1. Redis Connection Failed

   # Check Redis status
   redis-cli ping
   
   # Restart Redis
   sudo systemctl restart redis

2. MongoDB Connection Issues

   # Check MongoDB status
   mongosh --eval "db.adminCommand('ping')"
   
   # Check logs
   tail -f /var/log/mongodb/mongod.log

3. High Memory Usage

   • Check cache hit rates
   • Review query performance
   • Monitor for memory leaks

Log Analysis

# View recent errors
tail -f backend/logs/app-error.log

# Search for specific patterns
grep "ERROR" backend/logs/app-combined.log

# Monitor performance
tail -f backend/logs/performance.log

🤝 Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests
5. Submit a pull request

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🆘 Support

For support and questions:

• Create an issue in the repository
• Check the troubleshooting section
• Review the monitoring dashboard for system health

🔮 Roadmap

• Microservices architecture
• Kubernetes deployment
• Advanced analytics dashboard
• Mobile application
• Third-party integrations (Slack, JIRA, etc.)
• Machine learning for issue prediction
• Advanced reporting and insights