Building Secure E-Commerce Backend API with Spring Boot

Excited to Share My Latest Backend Project — E-commerce Shipping Service I built a backend Shipping Service for an e-commerce platform that dynamically calculates shipping charges based on distance, weight, and delivery parameters. This project simulates a real-world logistics component used in scalable e-commerce systems. Key Features: • Distance-based shipping cost calculation • Weight-based pricing logic • REST APIs for shipping cost estimation • MySQL database integration • Clean layered architecture (Controller → Service → Repository) • Scalable microservice-style design • Proper exception handling and validation Tech Stack: • Java • Spring Boot • Spring Data JPA • MySQL • REST APIs • Maven • Git & GitHub What this service does: Given order details like source, destination, and package weight, the service calculates the shipping cost and returns it via API — just like real e-commerce platforms. This project helped me understand: • Backend service design • API development • Database schema design • Business logic implementation • Real-world e-commerce architecture GitHub Repository: https://lnkd.in/gFKRJVVY Open to feedback and suggestions! #Java #SpringBoot #BackendDevelopment #Microservices #Ecommerce #RESTAPI #MySQL #GitHub #SoftwareEngineering #OpenToWork

Built a production-ready eCommerce backend using Spring Boot. Includes JWT authentication, role-based access, PostgreSQL, and clean architecture. I turned it into a ready-to-use backend template to help devs skip weeks of setup. If anyone’s interested, I’m sharing it here: https://lnkd.in/dz3uthGU

Hi connections, Over the past few months, I’ve been heavily focused on expanding my full-stack skills, and I'm excited to share my latest project: E-Shop, a complete e-commerce application. 🛒 My goal with this project was to build a robust, secure, and user-friendly platform that handles everything from product browsing to user authentication. Here is the tech stack I used to bring E-Shop to life: ⚙️ **Core Backend:** Java & Spring Boot 🔒 **Security:** Spring Security (Implemented secure login and role-based access) 🗄️ **Database & ORM:** MySQL, Hibernate, and Spring Data JPA (For efficient data mapping and seamless database operations) 💻 **Frontend:** HTML, Bootstrap & Thymeleaf (For a clean, responsive, and dynamic UI) 💡 **Biggest Technical Takeaway:** Setting up Spring Security for role-based authentication and handling complex database relationships with Hibernate and Spring Data JPA was a massive learning curve. It really deepened my understanding of how enterprise-level applications manage secure user data and complex queries. I’ve made the complete codebase available on GitHub. Check out the repository and let me know your thoughts! 🔗 **GitHub Repo:** https://lnkd.in/du7-EKRG I'm always looking to improve. Experienced developers, what is your go-to strategy for optimizing database queries in Spring Boot applications? Let me know in the comments! 👇 #JavaDeveloper #SpringBoot #FullStackDevelopment #SpringSecurity #Hibernate #MySQL #SoftwareEngineering #ECommerce #WebDevelopment

What happens behind a real E-commerce system when you add a product, place an order, and complete a payment? I built the backend for an E-commerce platform using ASP.NET Core Web API, focusing on architecture, performance, and real-world workflows. 🔹 Clean Architecture (modular, layered design) 🔹 Core modules: Products, Basket, Orders 🔹 Redis caching for basket handling and performance optimization 🔹 Stripe payment integration with webhook to update order status after confirmation 🔹 Authentication & Authorization (users & roles) ⚙️ Technologies & Engineering Practices • ASP.NET Core Web API • Entity Framework Core & SQL Server • Repository Pattern + Unit of Work • Specification Pattern (flexible & reusable queries) • Result Pattern (consistent API responses) • Global Exception Handling Middleware • AutoMapper • Dependency Injection • LINQ & Async Programming • Structured Git workflow with meaningful commits An Admin Dashboard (MVC) sits on top of the API to manage the system: • Add / update products • Manage users and roles • Interact directly with the backend The video demonstrates the full system flow end-to-end: Admin adds a product → API handles the request → data is stored → reflected instantly on the client side → payment confirmed → order status updated via webhook. 🔗 GitHub Repository: [https://lnkd.in/dhwufkmt]

🚀 Day 2: Building the Admin Dashboard (E-commerce Project) Today, I worked on the Admin Dashboard—one of the most important parts of any e-commerce system. 💡 What I implemented: ✔ Add / Update / Delete products ✔ Product listing with basic details ✔ Admin-side control over inventory 🛠 Tech Used: React (UI) Java + Spring Boot (Backend APIs) SQL (Data storage) ⚡ Key Learning: Understanding how admin panels manage data gave me a clearer idea of real-world application flow. Next Step: Connecting dashboard with backend APIs & improving UI. Building in public 💻 #buildinpublic #FullStackDeveloper #ReactJS #Java #Ecommerce

Real-Time E-commerce Platform & Recommendation System powered by Kafka I’m excited to share one of my latest projects! In collaboration with my friend Chayma Dallel , we designed and developed a complete e-commerce platform enhanced with a real-time, event-driven recommendation system built on a microservices architecture. The main objective was to explore how user behavior can be captured and processed in real time to deliver personalized product recommendations within a scalable and loosely coupled system. 🚀 What we built A full-stack e-commerce platform featuring a backend-driven recommendation engine powered by Apache Kafka. ⚙️ Tech Stack Backend: Java 17+, Spring Boot, Spring Kafka, Spring Data MongoDB Frontend: HTML5, CSS3, JavaScript (Fetch API) Infrastructure: Aiven Kafka, MongoDB Atlas 💡 Key Highlights Designed a decoupled microservices architecture using asynchronous communication Built an event-driven pipeline with Kafka for real-time data processing Leveraged MongoDB Atlas for flexible and scalable data storage 🔗 Discover the project here: https://lnkd.in/dq57fh96

Real-Time E-commerce Platform & Recommendation System powered by Kafka I’m excited to share my latest project. I built this project together with my friend ranim bouguila , focusing on designing a complete e-commerce platform integrated with a real-time, event-driven recommendation system using a microservices architecture. The goal was to explore how user behavior can be captured and processed in real time to generate personalized product recommendations in a scalable and decoupled system. What we built : A full-stack e-commerce platform with a backend-driven recommendation engine powered by Apache Kafka. ⚙️ Tech Stack Backend: Java 17+, Spring Boot 3, Spring Kafka, Spring Data MongoDB Frontend: HTML5, CSS3, Vanilla JavaScript (Fetch API) Infrastructure: Aiven Kafka (Cloud), MongoDB Atlas (NoSQL) 💡 Key Highlights - Designed a decoupled microservices architecture with asynchronous communication - Implemented an event-driven pipeline using Kafka for real-time processing - Used MongoDB Atlas for flexible and scalable data storage 🔗 Discover the project here: https://lnkd.in/dq57fh96

🚀 Building a Deep Display E-Commerce Web Application using Spring Boot I recently developed a full-fledged E-Commerce web application using Spring Boot, JSP, HTML, CSS, MySQL, and JavaScript, focusing on delivering a smooth and secure online shopping experience. 💡 Project Overview: The application supports both admin and user roles, ensuring efficient product management and seamless customer interaction. 👨💻 Key Features: 🔹 Admin can manage user details and product inventory 🔹 Users can browse products, add items to cart, and complete purchases 🔹 Multiple payment options integrated for flexible checkout 🔹 Email notifications using JavaScript on user registration 🔹 OTP verification implemented before payment for enhanced security ⚙️ Tech Stack: ✔️ Spring Boot – Backend development ✔️ JSP, HTML, CSS – Dynamic UI & frontend ✔️ MySQL – Database management ✔️ JavaScript – Client-side functionality & email/OTP handling 🔥 Highlights: ➡️ Secure checkout with OTP-based verification ➡️ Real-time user interaction and smooth navigation ➡️ Structured backend with efficient data handling 💭 Takeaway: This project helped me strengthen my understanding of full-stack development, secure authentication mechanisms, and how real-world e-commerce systems function. I want to thank my trainer #AnandKumarBuddarapu for guiding me to finish this project. #SpringBoot #Java #Ecommerce #WebDevelopment #FullStack #MySQL #LearningJourney #TechProjects

Refactored my E-Commerce API to apply design patterns for better scalability and maintainability. Instead of keeping all business logic tightly coupled, I introduced several design patterns to improve structure and flexibility: 🧩 Key Improvements: • Applied the Decorator Pattern for dynamic pricing (discounts, promo codes, tax, shipping) • Used Strategy + Factory for flexible payment processing • Implemented Observer Pattern for post-order actions: * Send confirmation email * Clear user cart * Update inventory This allows each action to run independently and makes the system easy to extend. 💡 What I learned: Design patterns are not just theory — they help break complex logic into clean, maintainable components and make real systems easier to scale. 🔗 Updated code (design patterns refactor): https://lnkd.in/dVdtEBkx #Java #SpringBoot #BackendDevelopment #SoftwareEngineering #DesignPatterns #CleanCode