E-Commerce Order Management System
.NET 9

E-Commerce Order Management System

Microservices-oriented e-commerce order processing platform with asynchronous, event-driven order handling, reliable message delivery, and Redis caching.

Overview

An enterprise-grade order management system for modern e-commerce platforms, designed around Clean Architecture and a microservices-oriented approach. The system decouples order intake from processing so it can scale each concern independently and stay responsive under load. Reliability is built in through the Outbox Pattern and an event-driven pipeline that guarantees no order is lost in transit.

What It Does

The platform is composed of a .NET 9 RESTful API and a background worker service that communicate asynchronously through a RabbitMQ message broker. When an order is placed, it is persisted transactionally and published as an event, then processed and followed by notifications on the worker side, forming an event-driven pipeline. A short-TTL Redis caching strategy optimizes high-traffic read queries, while EF Core over SQL Server implements the repository pattern for durable, testable persistence.

Tech Stack

.NET 9ASP.NET CoreEntity Framework CoreRabbitMQRedisSQL ServerDockerKubernetesClean ArchitectureJWTSerilogxUnit
GitHub

Key Features

Reliable Messaging: Outbox Pattern implementasyonu ile transactional message delivery garantisi

Authentication & Security: JWT token based auth, PBKDF2-SHA256 password hashing

Async Processing: Background worker servisi ile order processing ve notification sistemi

Monitoring & Logging: Serilog ile structured logging, correlation ID tracking

Validation: FluentValidation ile business rule validation

Testing: xUnit, Moq ve FluentAssertions ile unit test coverage

Technical Highlights

→Architecture Pattern: Clean Architecture with 5-layer separation (Domain, Application, Infrastructure, API, Worker)
→Messaging Reliability: Outbox Pattern ensures zero message loss with automatic retry mechanism
→Async Processing: Event-driven architecture with RabbitMQ for scalable order processing
→Performance: Redis caching with smart invalidation strategy reduces database load
→Security: JWT authentication with PBKDF2-SHA256 hashing (10,000 iterations)
→Observability: Correlation ID tracking across distributed services, structured logging
→Testing: Unit tests with Moq and FluentAssertions for critical business logic
→DevOps Ready: Docker Compose for local dev, Kubernetes manifests for production deployment

Key Achievements

01

Engineered a 5-layer Clean Architecture (Domain, Application, Infrastructure, API, Worker) with strict separation of concerns

02

Guaranteed reliable, exactly-once-intent messaging by implementing the Outbox Pattern with automatic retries

03

Covered core business logic with xUnit unit tests using Moq and FluentAssertions

04

Delivered an event-driven async pipeline over RabbitMQ that scales order processing independently of intake

05

Containerized the full stack and orchestrated it on Kubernetes, with Docker Compose for local development

Impact & Results

The system provides a resilient, horizontally scalable backbone for order processing, absorbing traffic spikes by decoupling intake from asynchronous worker execution. The Outbox Pattern and correlation-ID tracing make the pipeline reliable and observable, while Docker Compose orchestrates SQL Server, RabbitMQ, and Redis for a reproducible local environment that mirrors the Kubernetes production deployment.