Solution architecture

Global hosting and commerce modernization

Reshaped a high-traffic platform through API optimization, distributed caching, messaging, and a modern React delivery model.

2024 — 2025Solution Architect · Modernization and performance300K–1M monthly users
Global hosting and commerce modernization public website
Role and attribution

Client engagement delivered through Orion Innovation

I defined modernization boundaries, performance architecture, and delivery sequencing with client and distributed engineering stakeholders.

Team scope: Cross-functional architecture and delivery across frontend, backend, platform, and commercial workflows.

Approximate production scale
Context

The product landscape

A managed-hosting and e-commerce platform serving a large international customer base across product discovery, configuration, purchasing, account, and infrastructure journeys.

Challenge

What had to change

Improve scalability, responsiveness, and maintainability across high-traffic customer journeys without disrupting commercial operations or forcing a risky full-platform rewrite.

Approach

Architecture, delivery, and leadership

  1. 01

    Defined incremental modernization boundaries across Next.js, React, Node.js, GraphQL, PostgreSQL, and MongoDB.

  2. 02

    Introduced Redis caching, background workers, RabbitMQ messaging, and API optimization around high-cost workflows.

  3. 03

    Separated frontend and backend responsibilities to enable safer releases and independent performance improvements.

  4. 04

    Aligned technical sequencing with business continuity and distributed-team delivery constraints.

Outcomes

What the work enabled

  • Architecture designed for approximately 300K–1M monthly users.
  • Improved platform scalability, performance, and maintainability.
  • Modernization progressed while preserving live business operations.
Sanitized architecture

How the system responsibilities connect

01Next.js and React customer journeys
02Node.js and GraphQL APIs
03PostgreSQL and MongoDB
04Redis, workers, and RabbitMQ
Constraints

Boundaries that shaped the work

  • Business continuity during modernization
  • High-traffic commercial journeys
  • Mixed legacy and modern platform boundaries
Trade-offs

Decisions made deliberately

  • Strangler-style modernization over full replacement
  • Targeted caching over blanket caching
  • Independent delivery boundaries over a single coupled release
Technology

Core platform stack

ReactGraphQLPostgreSQLRedisRabbitMQ