TeamFlow
Developed a full-stack collaborative analytics platform with FastAPI, PostgreSQL, Docker, and WebSockets to visualize team performance metrics and sprint deliverables instantly.
< 100 ms
Update Latency
Real-time WebSocket event delivery
PostgreSQL
Database Layer
Strict transactional integrity with Alembic
Docker
Containerization
Fully isolated service environments
Render Staging
Live Platform
Publicly accessible live production build
Operational Constraints & Friction
Engineering managers lack unified real-time visibility into distributed developer workloads, ticket cycle times, and operational velocity.
Architectural Execution
Developed a full-stack collaborative analytics platform with FastAPI, PostgreSQL, Docker, and WebSockets to visualize team performance metrics and sprint deliverables instantly.
TeamFlow — System Architecture
High-Level Topology & Data Flow
Tailwind CSS Responsive Dashboard UI
Client requests, sensors & telemetry
FastAPI Asynchronous Gateway & Connection Manager
ACID Persistence & Read/Write separation
Internal Topology & Data Mechanics
A JavaScript frontend opens persistent WebSocket connections to FastAPI. Changes to team assignments trigger database updates in PostgreSQL and broadcast payload events to all active listeners.
Engineering Obstacles Overcome
Implementing real-time bidirectional WebSocket communication while maintaining a resilient, horizontally scalable database architecture.
- ✓Real-time WebSocket metric updates
- ✓User authentication & session authorization
- ✓Interactive data charts and sprint boards
- ✓Comprehensive REST API design
- ✓Containerized deployment on Render / Docker
Planned Enhancements & Roadmap
Project Delivery & Impact
Successfully built and deployed a production-ready collaborative analytics platform handling concurrent team dashboards.