E-Commerce Dynamic Platform
Production-oriented modular monolith e-commerce — cart, orders, payments, catalog, promotions, returns, shipping, admin analytics, event-driven outbox, and dynamic theming on Next.js 16 storefront.
- Next.js 16
- React 19
- TypeScript
- Express 5
- MongoDB
- PostgreSQL
- Redis
- AWS S3
- Prometheus
- Vitest
- Tailwind CSS 4
01
Problem
Building scalable e-commerce required more than a basic cart — needing transactional order lifecycle, payment/refund handling, promotions, returns, and observable event-driven architecture.
02
Solution
Built comprehensive e-commerce platform with Express 5 + TypeScript backend (MongoDB + PostgreSQL + Redis), transactional outbox pattern, Prometheus metrics, and Next.js 16 + React 19 storefront with dynamic theming.
03
Architecture
Modular monolith backend with cart, order, payment, catalog, customer, promotion, return, shipping modules. Next.js 16 App Router frontend with Tailwind CSS 4. AWS S3 for media. Vitest for testing.
04
Business impact
Demonstrates production-grade e-commerce architecture with event-driven patterns, observability, and comprehensive order lifecycle management.
Decisions
Technical decisions
- 01Transactional outbox over direct event emission for reliability
- 02Next.js 16 App Router for SEO-optimized storefront
- 03Prometheus + Vitest for observability and test coverage
Features
Feature breakdown
- Cart & Checkout
- Order Lifecycle
- Payments & Refunds
- Catalog
- Promotions
- Returns
- Shipping
- Admin Analytics
- Dynamic Theming
Responsibilities
- Architected modular monolith with transactional outbox for event-driven order processing
- Built cart, checkout, order lifecycle, payments, and refund modules
- Implemented catalog CRUD/search, promotions, returns, and shipping modules
- Developed Next.js 16 storefront with dynamic theming and admin analytics
Challenges
- Implementing transactional outbox reliably across MongoDB and PostgreSQL
- Designing promotion engine rules that compose without conflicting
Performance considerations
- Redis caching for catalog and session data
- Prometheus metrics for API latency monitoring
- Transactional outbox batch processing
Lessons learned
- Transactional outbox pattern decouples order events from downstream processing
- Prometheus metrics from day one simplify production debugging
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