Skip to content

jasbir125/spring-microservices-ecommerce

Repository files navigation

🛒 Spring E-Commerce Microservices Platform

A scalable and modular e-commerce platform built using Spring Boot and a microservices architecture. It demonstrates robust service integration with API Gateway, Kafka for async messaging, MongoDB for flexible schema support, and Helm/Kubernetes for cloud-native deployment.


🧩 Microservices Overview

Service Description
Config Service Centralized external configuration using Spring Cloud Config
Discovery Service Eureka service registry for microservice discovery
Gateway Service API Gateway using Spring Cloud Gateway for routing and security
Product Service Manages product listings and categories
Order Service Handles customer orders and workflows
Inventory Service Tracks and updates stock in real-time
Payment Service Processes secure payments
Notification Service (optional) Sends email/SMS notifications

🔑 Key Features

  • Spring Boot & Spring Cloud – Modular, scalable, and maintainable codebase
  • Dockerized Microservices – Using Docker Compose and Helm Charts
  • API Gateway – Unified entry point with authentication and load balancing
  • Kafka – Event-driven communication across services
  • MongoDB – NoSQL DB for flexibility and performance
  • Centralized Logging – With ELK stack or similar
  • Resilience4j / Circuit Breaker – Fault tolerance between services
  • Kubernetes Ready – Helm charts for each microservice
  • Jenkins Pipelines – CI/CD ready for automation

🚀 Technology Stack

  • Spring Boot 3+ – Rapid development framework for building microservices with minimal configuration.
  • Spring Cloud - – Toolkit for building robust cloud-native distributed systems (Eureka, Config Server, Gateway, etc.).
  • Event-Driven Microservices – Asynchronous communication using Kafka/RabbitMQ for loosely coupled services.
  • API-driven development approach
  • REST architectural style (e.g., RESTful APIs)
  • Caching -Local caching (Caffeine/EhCache) and distributed caching (Redis) for performance optimization.
  • Listen to yourself design pattern