# Amazfit: Polyglot Wearable Telemetry Platform

> High-throughput field-engineer health monitoring combining a C++ userver ingestion tier, NestJS WebSocket fan-out, and a React 19 PWA.

- Client: Confidential
- Year: 2026
- Disciplines: C++ userver, NestJS & Prisma, React 19 PWA, Redis Pub/Sub & MQTT, Wearable IoT
- Page: https://ponkster.me/case-studies/amazfit-v2
- Studio: ponkster.me (https://ponkster.me)
- Contact: origin.ponkster@gmail.com

## Challenge

Monitoring vital signs and fatigue risk for field engineers in physically demanding environments requires ingesting continuous wearable telemetry bursts while pushing sub-second threshold alerts to supervisor dashboards.

## Approach

We architected a polyglot three-service topology: a C++ userver ingestion service (built reproducibly with Nix) handles machine-facing watch payloads, computes health scores, persists time-series records to PostgreSQL, and publishes threshold alerts to Redis; a NestJS gateway fans alerts out over Socket.io rooms to an offline-capable React 19 + Tailwind v4 PWA.

## Outcome

Separated high-frequency machine ingestion from human dashboard workflows, enabling deterministic alert evaluation and multi-tenant team risk visibility.

## Results

- Polyglot C++ userver ingestion tier paired with NestJS and React 19 PWA
- Real-time Redis Pub/Sub to Socket.io alert fan-out for field supervisor rooms
- Reproducible Nix + Docker Compose build and single-VM deployment pipeline

## Optional

- [Studio overview and all case studies](https://ponkster.me/llms.txt)