https://github.com/vishalgiri-git/spring-boot-ecom-with-notification-app

This Spring Boot project consists of two main components: a core E-commerce Service that manages products, carts, and orders, and a separate Notification Service for handling user communications.
https://github.com/vishalgiri-git/spring-boot-ecom-with-notification-app

hibernate java kafka-consumer kafka-producer kafka-topic mysql-database react spring-boot themeleaf

Last synced: about 2 months ago
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This Spring Boot project consists of two main components: a core E-commerce Service that manages products, carts, and orders, and a separate Notification Service for handling user communications.

• Host: GitHub
• URL: https://github.com/vishalgiri-git/spring-boot-ecom-with-notification-app
• Owner: vishalgiri-git
• Created: 2025-08-17T08:31:02.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2026-01-01T10:21:08.000Z (5 months ago)
• Last Synced: 2026-01-06T05:41:26.991Z (5 months ago)
• Topics: hibernate, java, kafka-consumer, kafka-producer, kafka-topic, mysql-database, react, spring-boot, themeleaf
• Language: Java
• Homepage:
• Size: 3.55 MB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# E-commerce Application with Notification Service

A microservices-based application for a modern e-commerce platform. This repository contains the backend services built with Java and Spring Boot, structured as a monorepo.

The system is composed of two main services:

1.  **E-commerce Service**: Handles core business logic like product management, user authentication, shopping cart, and order processing.

2.  **Notification Service**: A dedicated service for sending notifications (like email or SMS) to users in response to events within the platform.

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### High-Level Architecture Diagram



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## ⚡ Performance Optimizations

To enhance the scalability and responsiveness of the application, several optimization techniques have been integrated:

- **Pagination**: Efficiently handles large datasets in APIs by limiting the number of records returned per request.

- **Indexing**: Database indexing applied to frequently queried fields to speed up data retrieval.

- **Redis Cache**: Implements caching layer using Redis to reduce database load and improve response times for commonly accessed data.

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## 🚀 Features

### E-commerce Service (`/Ecom`)

* 👤 **User Authentication & Authorization**: Secure user registration and login using Spring Security.

* 📦 **Product Catalog**: Functionality to add, update, view, and delete products.

* 🛒 **Shopping Cart**: Manage items in a user's cart.

* 💳 **Order Management**: End-to-end order placement and tracking workflow.

* 📢 **Event-Driven**: Publishes events (e.g., `ORDER_PLACED`) to a Kafka topic.

### Notification Service (`/Notification`)

* 📧 **Email Notifications**: Consumes events from Kafka to send timely emails.

* 📄 **Templated Messages**: Uses templates for different notification types (e.g., Order Confirmation, Shipping Update).

* 🔄 **Decoupled Architecture**: Operates independently of the main E-commerce service, ensuring reliability.

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## 🛠️ Tech Stack

* **Backend**: Java 17, Spring Boot 3

* **Data**: Spring Data JPA, Hibernate, MySQL

* **Messaging Queue**: Apache Kafka

* **Security**: Spring Security

* **Build Tool**: Maven

* **(Frontend)**: React 

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