Projects
Board Game Database
A comprehensive full-stack board game database web application built with Spring Boot and Spring Security. This project demonstrates enterprise Java development practices with role-based access control, CRUD operations, and modern web technologies. ## Application Overview The Board Game Database is a secure web application that allows users to manage board game collections and reviews. It implements a complete authentication and authorization system with different user roles having varying levels of permissions. The application showcases modern Java web development using Spring Boot framework with integrated security, data persistence, and responsive UI design. ## Core Features - **Complete Board Game Management**: Users can view, add, and manage board game listings with detailed information - **Review System**: Comprehensive review functionality allowing users to add, edit, and delete game reviews - **Role-Based Security**: Multi-tier security system with different permissions for non-members, users, and managers - **Responsive Design**: Modern UI built with Thymeleaf templates and Bootstrap styling - **RESTful API**: Complete REST endpoints for board game data access and manipulation ## Security Architecture - **Spring Security Integration**: Full authentication and authorization using Spring Security framework - **Role-Based Access Control**: Three distinct user roles with specific permissions: - **Non-members**: View board game lists and reviews only - **Users**: Add board games and write reviews - **Managers**: Full CRUD operations including edit and delete capabilities - **JDBC Authentication**: Database-backed user authentication with encrypted passwords - **Session Management**: Secure session handling with proper logout functionality ## Technical Implementation - **Spring Boot Framework**: Modern Java development with auto-configuration and embedded server - **Spring MVC**: Clean separation of concerns with controllers, services, and data layers - **JDBC Integration**: Database connectivity using Spring JDBC with parameterized queries - **H2 Database**: In-memory database for development with custom schema initialization - **Thymeleaf Templating**: Server-side template engine with fragment-based HTML components - **Bootstrap Styling**: Responsive and modern UI design with Twitter Bootstrap ## Database Design - **Board Games Table**: Complete game information including difficulty levels, player counts, and game types - **Reviews Table**: User-generated reviews linked to specific board games - **Security Tables**: Spring Security's default schema for users, authorities, and roles - **Schema Initialization**: Custom SQL scripts for database setup and initial data ## Testing & Quality - **JUnit Testing**: Comprehensive unit tests for database operations and controllers - **MockMvc Testing**: Integration testing for web controllers and endpoints - **Test-Driven Development**: Well-structured test cases ensuring application reliability - **Spring Boot Testing**: Full-stack testing with embedded test environment This project demonstrates professional Java web development practices, showcasing how to build secure, scalable, and maintainable web applications using the Spring ecosystem.
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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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E-Commerce Microservices
A scalable e-commerce platform built with microservices architecture and modern DevOps practices. This project demonstrates cloud-native development, containerization, and automated deployment pipelines. ## Key Features - **Microservices Architecture**: Distributed system with independent, scalable services - **Cloud-Native Infrastructure**: Deployed on AWS with container orchestration - **CI/CD Pipeline**: Automated testing, building, and deployment workflows - **Service Mesh**: Inter-service communication with load balancing - **Infrastructure as Code**: Terraform for cloud resource provisioning - **Monitoring & Observability**: Comprehensive logging and metrics collection ## Technical Stack - **Backend Services**: Node.js microservices with RESTful APIs - **Database**: PostgreSQL with Redis for caching and session management - **Message Queue**: RabbitMQ for asynchronous communication - **Authentication**: JWT-based authentication with OAuth integration - **API Gateway**: Centralized routing and request handling - **File Storage**: AWS S3 for product images and static content ## DevOps & Infrastructure - **Containerization**: Docker containers for all services - **Orchestration**: Kubernetes deployment on AWS EKS - **Load Balancing**: AWS Application Load Balancer - **Auto Scaling**: Horizontal scaling based on demand - **Security**: VPC, Security Groups, and IAM role-based access - **Monitoring**: Prometheus, Grafana, and CloudWatch integration - **CI/CD**: GitHub Actions for automated deployment pipeline This project showcases enterprise-level microservices development with emphasis on scalability, reliability, and maintainability using modern cloud technologies.
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