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⭐ Featured ProjectšŸš€ Production Microservice

Product Service Microservice

Professional Node.js + Express Product Management System

Live Production Microservice

FastAPI Service Documentation

Interactive Swagger documentation with live API testing, health monitoring, and production metrics.

šŸ”„ Production Metrics

<150ms
Response Time

Project Overview

Comprehensive product and deals management microservice built with Node.js and Express.js, featuring MongoDB Atlas integration, advanced search capabilities, inventory tracking, and automated CI/CD deployment to Heroku.

Technical Focus

Node.js Development, MongoDB Integration, Product Management, RESTful APIs

Technology Stack

Node.jsExpress.jsMongoDBMongooseHerokuDockerJWTSwaggerCI/CDREST API

šŸ“ø Production Screenshots

Interactive Swagger API Documentation

Complete OpenAPI 3.0 documentation with live testing capabilities

Service Health Monitoring

Real-time health monitoring with MongoDB Atlas connectivity status

Product Management Endpoints

Comprehensive CRUD operations for product catalog management

Deals Management System

Advanced deals and promotions management with analytics

Challenge

Build a comprehensive product management microservice that handles product catalogs, deals management, advanced search capabilities, and inventory tracking while maintaining high performance and scalability in a distributed e-commerce architecture.

Solution

Developed a professional Node.js microservice using Express.js framework with MongoDB Atlas cloud database, implementing advanced search algorithms, automated deployment pipelines, and comprehensive API documentation. Achieved seamless integration with other microservices in the platform.

Technical Architecture

Product Service Multi-Cloud Architecture:

🌐 Frontend Application (Vercel)
    └── https://ecommerce-app-omega-two-64.vercel.app
                    ↓
šŸ”— API Gateway (Google Kubernetes Engine)
    └── https://34.95.5.30.nip.io
                    ↓
šŸ“¦ PRODUCT SERVICE (Heroku Platform)
    ā”œā”€ā”€ 🟢 Node.js 18.x + Express.js Framework
    ā”œā”€ā”€ šŸ“Š MongoDB Atlas Cloud Database
    ā”œā”€ā”€ šŸ” Advanced Search & Filtering Engine
    ā”œā”€ā”€ šŸ“ˆ Inventory Tracking & Analytics
    ā”œā”€ā”€ šŸŽÆ Deals & Promotions Management
    └── šŸ“š OpenAPI 3.0 Documentation
                    ↓
šŸ—„ļø Database Layer (MongoDB Atlas)
    ā”œā”€ā”€ Products Collection (Catalog data)
    ā”œā”€ā”€ Deals Collection (Promotional offers)
    └── Global Replication & Backup
                    ↓
šŸ”— Integration Points:
    ā”œā”€ā”€ šŸ›’ Cart Service (Product validation)
    ā”œā”€ā”€ šŸ“‹ Order Service (Order processing)
    ā”œā”€ā”€ šŸ‘¤ User Service (Admin authentication)
    └── šŸ” Search Service (Data indexing)
                    ↓
šŸš€ Deployment Pipeline:
    ā”œā”€ā”€ GitHub Actions (Automated CI/CD)
    ā”œā”€ā”€ Docker Hub (Container registry)
    ā”œā”€ā”€ Heroku Container Registry
    └── Production Health Monitoring

Key Achievements

āœ“šŸŸ¢ Production Node.js microservice deployed on Heroku with 99.9% uptime
āœ“šŸ“Š MongoDB Atlas integration with global replication and automatic scaling
āœ“šŸ” Advanced search functionality with full-text search across multiple fields
āœ“šŸ“¦ Complete product catalog management with CRUD operations and validation
āœ“šŸŽÆ Comprehensive deals management system with time-based promotions
āœ“šŸ“ˆ Real-time inventory tracking with low-stock alerts and analytics
āœ“šŸ”„ Automated CI/CD pipeline with GitHub Actions and Docker deployment
āœ“šŸ“š Interactive OpenAPI 3.0 documentation with Swagger UI integration
āœ“šŸ”— Seamless integration with Cart, Order, User, and Search microservices
āœ“šŸ›”ļø Enterprise security with environment-based configuration and CORS protection
āœ“āš” High-performance API with sub-150ms response times for product queries
āœ“šŸŽØ Professional repository structure with comprehensive documentation

šŸŽÆ Portfolio Impact

Demonstrates production-level FastAPI development, enterprise security implementation, and real-world system deployment with actual users and performance metrics.