Full Stack

E-Commerce Platform

Modern full-stack e-commerce solution with real-time features

Full Stack Developer & DevOps Engineer
6 months
4 members
E-Commerce Platform

Technologies Used

ReactNext.jsTypeScriptNode.jsExpressMongoDBRedisStripeAWS S3DockerKubernetesGitHub Actions

Project Overview

This e-commerce platform was designed to provide a seamless shopping experience for customers while offering powerful tools for store administrators. The application handles everything from product catalog management to order processing and customer analytics. Built with scalability in mind, it leverages modern cloud infrastructure and containerization to ensure high availability and performance.

Key Features

Real-time Inventory

Live inventory tracking with automatic stock updates and low-stock alerts to prevent overselling.

Secure Payments

Integration with Stripe for secure payment processing with support for multiple payment methods.

Admin Dashboard

Comprehensive admin panel with sales analytics, order management, and customer insights.

Search & Filters

Advanced product search with filters, sorting, and personalized recommendations.

Project Screenshots

Dashboard View
Dashboard View
Analytics Panel
Analytics Panel
Product Management
Product Management

Challenges & Solutions

Challenge

Handling concurrent transactions and preventing race conditions in inventory management

Solution

Implemented Redis-based distributed locking and optimistic concurrency control to ensure data consistency across multiple server instances.

Challenge

Optimizing image loading and storage for thousands of product images

Solution

Leveraged AWS S3 with CloudFront CDN for efficient image delivery, implemented lazy loading, and used Next.js Image optimization for automatic responsive images.

Challenge

Ensuring zero-downtime deployments in production environment

Solution

Set up blue-green deployment strategy using Kubernetes with health checks and automated rollback mechanisms via GitHub Actions CI/CD pipeline.

Outcomes & Impact

  • Reduced page load time by 60% through optimized image delivery and code splitting
  • Achieved 99.9% uptime with automated scaling and monitoring
  • Processed 10,000+ transactions in the first month with zero payment failures
  • Decreased cart abandonment rate by 35% with improved checkout flow
  • Implemented automated testing achieving 85% code coverage

Key Metrics

1.2s
Page Load Time
99.9%
Uptime
10K+
Transactions
85%
Code Coverage

Interested in This Project?

Check out the live demo or explore the source code on GitHub to see how it was built.