Realtime Telemetry Canvas
High-velocity 3D telemetry visualization engine rendering 100,000+ streaming data points at steady 60 FPS.
Production Metrics & KPIs
Validated System Telemetry
Problem Statement & Scope
The Architectural Vector
A high-performance interactive 3D visualization dashboard built for real-time telemetry and streaming data analysis. Combines WebGL instanced mesh rendering, Web Worker data crunching, and WebSockets to render massive multi-dimensional datasets with zero main-thread UI jank.
3 Deep Technical Challenges Overcome
Preventing main-thread frame drops while parsing high-frequency binary WebSocket packets.
Offloading spatial coordinate calculations and matrix transforms to dedicated background Web Workers.
Implementing smooth camera interpolation and level-of-detail (LOD) downsampling on mobile GPUs.
System Design Breakdown
Architecture Specifications & Hardware Primitives
Dedicated Web Workers with SharedArrayBuffer & typed Float32Arrays
WebSocket binary streaming buffer + Cloudflare Edge CDN for static assets
Time-series telemetry ingestion queue with sub-25ms bucket aggregations
WSS token handshake with signed ephemeral access tokens
Maintained steady 60 FPS under intensive simulated telemetry streams without dropping frames.
Reduced client memory footprint by 65% by employing typed array buffers and instanced geometries.