Add project description doc

Author: Kamal Sai Devarapalli

PROJECT_DESCRIPTION.md

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+# EventStreamMonitor - Project Description
+
+## What is EventStreamMonitor?
+
+**EventStreamMonitor** is a production-ready, real-time microservices monitoring platform that collects, streams, and visualizes application logs and errors across multiple services in real-time.
+
+## Core Purpose
+
+The project demonstrates modern DevOps practices by providing:
+- **Real-time log collection** from multiple microservices
+- **Event streaming** using Apache Kafka
+- **Error monitoring and alerting** with automatic filtering
+- **Live dashboard** for error visualization
+- **Production-ready architecture** with microservices
+
+## Key Features
+
+### 1. Real-Time Log Streaming 📡
+- Collects logs from multiple microservices simultaneously
+- Streams logs to Apache Kafka for processing
+- Automatic error level detection (ERROR, CRITICAL)
+- Service identification and metadata tagging
+
+### 2. Error Monitoring & Filtering 🔍
+- Automatically filters ERROR and CRITICAL level logs
+- Stores errors for analysis and alerting
+- Provides statistics by service and error type
+- Real-time error tracking and visualization
+
+### 3. Multi-Service Dashboard 📊
+- Live dashboard showing error statistics
+- Real-time error feed with auto-refresh
+- Service-level error breakdown
+- Error details with timestamps, stack traces, and context
+
+### 4. Microservices Architecture 🏗️
+- Independent, scalable services
+- Event-driven communication via Kafka
+- Redis caching for performance
+- Session management across services
+- Database per service (isolation)
+
+### 5. Production-Ready Features 🚀
+- Docker containerization
+- Health checks and monitoring
+- Grafana integration ready
+- RESTful APIs for automation
+- Comprehensive error handling
+
+## Tech Stack
+
+- **Backend**: Python, Flask
+- **Message Broker**: Apache Kafka
+- **Cache/Sessions**: Redis
+- **Databases**: PostgreSQL (per service)
+- **Containerization**: Docker, Docker Compose
+- **Monitoring**: Custom Dashboard, Grafana-ready
+- **API**: RESTful APIs
+
+## Architecture Overview
+
+```
+┌─────────────────────────────────────────┐
+│   Microservices (User, Booking, etc.)  │
+│   - Generate logs and events            │
+│   - Stream to Kafka                     │
+└──────────────┬──────────────────────────┘
+               │
+               │ Kafka Topics
+               ▼
+┌─────────────────────────────────────────┐
+│         Apache Kafka                    │
+│   - application-logs                    │
+│   - application-logs-errors             │
+└──────────────┬──────────────────────────┘
+               │
+               │ Consumer filters errors
+               ▼
+┌─────────────────────────────────────────┐
+│      Log Monitor Service                │
+│   - Error filtering                     │
+│   - Error storage                       │
+│   - API endpoints                       │
+└──────────────┬──────────────────────────┘
+               │
+       ┌───────┴────────┐
+       ▼                ▼
+┌─────────────┐  ┌─────────────┐
+│  Dashboard  │  │   Grafana   │
+│  (Web UI)   │  │ Integration │
+└─────────────┘  └─────────────┘
+```
+
+## Use Cases
+
+### 1. **DevOps Monitoring** 🔧
+- Monitor multiple microservices from one dashboard
+- Track errors in real-time
+- Identify problematic services quickly
+- Set up alerts for critical errors
+
+### 2. **Development & Debugging** 🐛
+- Real-time error visibility
+- Service-level error tracking
+- Error context and stack traces
+- Historical error analysis
+
+### 3. **Production Monitoring** 📈
+- Production error monitoring
+- Service health tracking
+- Performance insights
+- Grafana dashboards for operations
+
+### 4. **Learning & Portfolio** 📚
+- Demonstrates microservices architecture
+- Shows Kafka event streaming
+- Redis caching patterns
+- Docker containerization
+- Real-time monitoring systems
+
+## What Makes It Stand Out
+
+### For Recruiters/Employers:
+- ✅ **DevOps Skills**: Real-time monitoring, log aggregation
+- ✅ **Microservices**: Scalable, distributed architecture
+- ✅ **Event-Driven**: Kafka for event streaming
+- ✅ **Production Ready**: Docker, health checks, error handling
+- ✅ **Modern Stack**: Kafka, Redis, Python, Flask
+- ✅ **Full-Stack**: Backend APIs + Dashboard UI
+
+### Technical Highlights:
+- Real-time processing with Kafka
+- Scalable microservices architecture
+- Caching and session management
+- Error filtering and alerting
+- Dashboard visualization
+- Grafana integration ready
+
+## Project Structure
+
+```
+EventStreamMonitor/
+├── services/              # Microservices
+│   ├── usermanagement/   # User service
+│   ├── booking/          # Booking service
+│   ├── notification/     # Notification service
+│   └── logmonitor/       # Log monitoring service
+├── common/               # Shared libraries
+├── infrastructure/       # Docker, K8s configs
+├── docs/                 # Documentation
+└── scripts/              # Utility scripts
+```
+
+## Quick Start
+
+```bash
+# Start all services
+docker-compose up -d
+
+# Access dashboard
+open http://localhost:5004
+
+# Stream test errors
+python3 scripts/quick_stream_errors.py
+```
+
+## Perfect For
+
+- **First GitHub Project**: Professional, complete, showcases skills
+- **Portfolio Project**: Demonstrates real-world DevOps practices
+- **Learning Project**: Covers microservices, Kafka, monitoring
+- **Interview Project**: Shows system design and architecture skills
+
+## Value Proposition
+
+**EventStreamMonitor** demonstrates your ability to:
+1. Build production-ready microservices
+2. Implement real-time monitoring systems
+3. Work with modern DevOps tools (Kafka, Redis, Docker)
+4. Create scalable, event-driven architectures
+5. Build monitoring and observability tools
+
+This is exactly what recruiters look for - practical, production-ready code that solves real problems! 🎯
+