Matrix Store – Full-Stack E-Commerce Application for demo
Atul Ranjan
Verified
Matrix Store – Full-Stack E-Commerce Application with AI-Driven Security Hardening
Client Goal:
Develop a fully functional e-commerce application to showcase Neo’s AI-powered security auditing capabilities, with real-world flows, observability, and secure deployment.
Solution Delivered
I built Matrix Store, a production-grade full-stack e-commerce platform engineered with modern technologies, real-time monitoring, and an AI-driven security lifecycle.
1. Next.js + TypeScript Full-Stack Development
Built using Next.js (App Router) and TypeScript for a scalable, maintainable, and high-performance codebase.
Implemented complete e-commerce features: product pages, cart, checkout, order placement, and user dashboards.
Integrated Firebase for secure authentication and seamless backend services.
Added a realistic coupon system to demonstrate business logic, edge cases, and security scenarios.
2. Observability & Monitoring
Implemented Grafana dashboards to monitor system metrics, API performance, coupon attempts, and security-related events.
Added proper logging, request tracing, and insight dashboards to simulate real production behavior.
3. DevOps, Docker & AWS Deployment
Containerized all services using Docker Compose for reproducible development and deployment.
Deployed the application to AWS, following best practices for performance, uptime, and scalability.
Ensured smooth CI/CD and environment consistency across development and production.
4. Security-First Build
Applied industry-leading security standards: OWASP, dependency hardening, secure auth flows, and API best practices.
Considered all potential exploitation scenarios: coupon abuse, broken access control, input tampering, session flaws, etc.
Purposely left a small number of vulnerabilities to evaluate Neo’s AI-based security engine.
5. AI-Driven Security Audit & Hardening
Ran Neo’s automated security audit against the live AWS deployment.
Successfully detected all intentionally injected vulnerabilities.
Identified additional edge-case issues flagged by Neo’s AI.
Patched and hardened the entire application, resulting in a fully secure, production-ready build.
Sales
Outcome
Matrix Store stands as a complete demonstration of modern full-stack engineering:
Next.js + TypeScript architecture
Secure Firebase integration
Grafana observability
Docker Compose orchestration
AWS deployment
AI-based vulnerability detection and remediation
The final product is a security-tight, feature-rich e-commerce platform ideal for showcasing technical capability in development, DevOps, and cybersecurity.
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Posted Nov 28, 2025
Built a secure Next.js e-commerce app with coupons, Grafana, Docker, and AWS—then used AI audits to find and fix real vulnerabilities.
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Timeline
Nov 6, 2025 - Nov 21, 2025
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