Netcoretic - Professional E-Commerce Platform

Project Overview

Netcoretic is a scalable and modern e-commerce platform developed using Clean Architecture and CQRS pattern. With its microservice-ready structure, powerful search capabilities, and flexible product management, it offers an enterprise-grade solution.

Challenge

Business Needs

Key challenges in modern e-commerce platforms:

Scalability: Performance loss with increasing users and products
Complex Product Management: Need for unlimited variations like color, size, memory
Fast Search: Instant results among thousands of products
Integration Flexibility: Support for different payment and shipping systems
Code Quality: Easy-to-maintain, testable code structure

Technical Requirements

Architecture: Clean architecture principles and CQRS pattern
Performance: Redis cache and Elasticsearch integration
Security: JWT authentication and input validation
DevOps: Docker containerization and CI/CD pipeline
Frontend: Modern, responsive, and fast user interface

Solution

Architectural Approach

Backend Architecture:

Frontend Architecture:

Next.js 14 App Router
SSR for Server Components
Interactive UI for Client Components
API Layer for backend communication
Responsive design with Tailwind CSS

Technology Stack

Backend Technologies:

ASP.NET Core 8.0: Modern, cross-platform web API
Entity Framework Core: ORM and database migrations
PostgreSQL 16: Powerful relational database
Redis 7: In-memory cache layer
MediatR: CQRS pattern implementation
FluentValidation: Input validation
Elasticsearch: Full-text search engine

Frontend Technologies:

Next.js 14: React framework with App Router
TypeScript: Type-safe development
Tailwind CSS: Utility-first CSS framework
Axios: HTTP client for API calls
React Query: Server state management

DevOps & Tools:

Docker & Docker Compose: Containerization
GitHub Actions: CI/CD pipeline
Kibana: Elasticsearch monitoring
Vercel: Frontend hosting

Key Features

1. Advanced Product Management

Unlimited Variation System:

Features:

📦 Unlimited product variations (color, size, memory, etc.)
📊 Stock tracking per variation
💰 Pricing per variation
🏷️ Automatic SKU generation
📸 Variation-specific images

2. Elasticsearch Integration

Advanced Search Features:

Search Capabilities:

🔍 Full-text search
🎯 Fuzzy matching (tolerates typos)
⚡ Autocomplete suggestions
🏷️ Category filtering
💰 Price range filtering
⭐ Rating filtering

3. CQRS Pattern

Command and Query Separation:

Benefits:

✅ Code organization and cleanliness
✅ Independent testability
✅ Performance optimization (read/write separation)
✅ Scalable architecture

4. Repository Pattern & Unit of Work

Clean Code Implementation:

5. Payment & Shipping Integration

Payment Gateway Adapter Pattern:

💳 Iyzico: Turkey’s leading payment platform
🔌 Extensible adapter pattern
🔒 Secure payment processing
📧 Transaction notifications

Shipping Integrations:

📦 Yurtiçi Kargo: Integration support
📦 MNG Kargo: Integration support
🔌 Easy extension with plugin architecture

Development Process

1. Planning & Architecture Design (2 Weeks)

Domain-Driven Design analysis
Clean Architecture layer design
Database schema design
API endpoint planning

2. Backend Development (4 Weeks)

Creating domain entities
CQRS implementation
Repository pattern implementation
API controllers
Elasticsearch integration
Redis cache layer

3. Frontend Development (3 Weeks)

Next.js App Router setup
Component development
API integration
State management
Responsive design

4. DevOps & Deployment (1 Week)

Docker containerization
GitHub Actions CI/CD
Vercel deployment
Elasticsearch & Kibana setup

Technical Details

Clean Architecture Layers

1. Domain Layer:

2. Application Layer (CQRS):

3. Infrastructure Layer:

Elasticsearch Implementation

Index Mapping:

Search Query:

Docker Compose Setup

Results

Performance Metrics

⚡ API Response Time: Average 150ms (50ms with cache)
🔍 Search Speed: <100ms among 100K+ products
📈 Scalability: Microservice-ready
🎯 Code Quality: SonarQube Grade A

Technical Achievements

✅ Clean Architecture implementation
✅ Code organization with CQRS pattern
✅ Repository & Unit of Work pattern
✅ Performance boost with Redis cache layer
✅ Advanced search with Elasticsearch
✅ Docker containerization
✅ CI/CD pipeline
✅ Secure input handling with FluentValidation

Business Impact

📊 Unlimited product and variation support
🚀 High-performance search experience
🔌 Easy integration (payment, shipping)
🏗️ Infrastructure ready for microservices
💻 Easy-to-maintain, testable code

Lessons Learned

Successes

Clean Architecture: Layered architecture significantly improved code organization and testability
CQRS Pattern: Read/write separation facilitated performance optimizations
Elasticsearch: Full-text search took user experience to the next level
Docker: Containerization accelerated development and deployment processes

Areas for Improvement

Microservice Migration: Modular structure can be separated into microservices
Event Sourcing: Event sourcing implementation with CQRS
API Gateway: API gateway layer for microservices
Real-time Features: Real-time notifications with SignalR

Future Plans

v2.0 Features

🔄 Event Sourcing implementation
🌐 GraphQL API endpoints
📱 React Native mobile app
🤖 AI-powered product recommendations
📊 Advanced analytics dashboard
🌍 Multi-language & multi-currency support
💬 Real-time chat support (SignalR)

Scaling Roadmap

Phase 1: Microservice separation (Products, Orders, Users)
Phase 2: API Gateway implementation (Ocelot)
Phase 3: Message queue integration (RabbitMQ)
Phase 4: Kubernetes deployment
Phase 5: Monitoring & observability (Prometheus, Grafana)

Technologies Used

Backend

ASP.NET Core 8.0
Entity Framework Core
PostgreSQL 16
Redis 7
MediatR
FluentValidation
Elasticsearch

Frontend

Next.js 14
React 18
TypeScript
Tailwind CSS
Axios

DevOps

Docker & Docker Compose
GitHub Actions
Kibana
Vercel

Project Link

Live Demo: netcoretic.vercel.app

For a Similar Project

Looking for a modern, scalable, and performant e-commerce platform? We provide enterprise-grade solutions developed with Clean Architecture and best practices.

Back to Portfolio