Voting Application

A distributed voting application demonstrating microservices architecture and containerization best practices. This project showcases modern DevOps practices with multi-language services, container orchestration, and real-time data processing. ## Application Overview The voting application is a distributed system built with multiple microservices that work together to provide a complete voting experience. Users can vote between two options through a web interface, and results are displayed in real-time on a separate results dashboard. The application demonstrates how different programming languages and technologies can work together in a containerized environment. ## Architecture Components - **Frontend Voting Service**: Python Flask application that provides the voting interface - **Redis Queue**: Message broker for asynchronous vote processing - **Background Worker**: .NET Core service that processes votes from Redis queue - **PostgreSQL Database**: Persistent storage for vote data with Docker volume backing - **Results Dashboard**: Node.js application displaying real-time voting results with Socket.IO - **Load Testing**: Apache Bench integration for performance testing ## Key Features - **Multi-Language Architecture**: Demonstrates polyglot programming with Python, .NET, and Node.js - **Real-Time Updates**: Socket.IO implementation for live result updates - **Container Orchestration**: Docker Compose and Kubernetes deployment configurations - **Queue-Based Processing**: Asynchronous vote processing using Redis messaging - **Health Monitoring**: Comprehensive health checks for all services - **Scalable Design**: Horizontal scaling capabilities with load balancer support ## DevOps Implementation - **Container Orchestration**: Complete Docker containerization with multi-stage builds - **Kubernetes Deployment**: Production-ready K8s manifests with services and deployments - **CI/CD Pipeline**: Automated build and deployment workflows - **Infrastructure as Code**: Declarative configuration for all infrastructure components - **Monitoring Setup**: Health checks and service monitoring implementation - **Volume Management**: Persistent data storage with Docker volumes This project serves as an excellent example of microservices architecture principles, demonstrating how independent services can communicate effectively while maintaining loose coupling and high cohesion.

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Vote Frontend

Python Flask web application providing the voting interface with real-time feedback

Results Dashboard

Node.js application with Socket.IO for real-time voting results visualization

Vote Worker

.NET Core background service processing votes from Redis queue to PostgreSQL