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C4 Architecture Modeling for E-commerce System Modernization

boldare.com

eCommerce

Logistics

Retail

Challenges in System Modernization Due to Documentation Gaps

Existing system documentation was outdated or incomplete, with critical knowledge siloed among domain experts. The complexity of multiple integrated services and logistics systems required rapid domain mapping to enable modernization while avoiding time-consuming knowledge transfer processes.

About the Client

Multi-warehouse e-commerce platform with advanced logistics handling multiple marketplaces

Goals for Architecture Visualization and System Optimization

Create accurate C4 architecture models (Context & Container levels) from fragmented documentation
Integrate tribal knowledge from domain experts into visual architecture diagrams
Establish foundation for system modernization through structured domain mapping
Enable faster implementation of new functionalities through comprehensive system understanding

Architecture Visualization and Collaboration System

C4 model level 1 (Context) visualization with personas and system relationships
C4 model level 2 (Container) detailing system components and interactions
Live diagram rendering with real-time collaboration features
Version-controlled Diagram-as-Code implementation
Integration with existing documentation repositories

Architecture Modeling Technologies

C4 PlantUML

Mermaid.js

Markdown-based documentation

System Integration Requirements

Legacy documentation systems
Collaboration platforms (e.g., Microsoft Teams)
Version control repositories (Git)

Operational and Usability Requirements

Scalable diagram rendering for complex systems
Cross-platform compatibility for stakeholder access
Low-code interface for non-technical contributors
Automated diagram versioning and change tracking

Business Impact of Architecture Visualization

Accelerated system modernization through 360° domain visibility, reduced knowledge transfer time by 70%, improved cross-team alignment on architecture decisions, and 40% faster implementation of new functionalities due to comprehensive system understanding. The visual models will also enable proactive identification of integration risks and optimization opportunities.