Cascade Finance
Cascade Finance Dashboard
Challenge
Real-time data visualization dashboard rendering 10k+ data points with unacceptable lag. The existing React app re-rendered the entire chart on every tick, causing frame drops and user frustration among power traders.
Solution
Custom WebGL-accelerated charts with canvas-based rendering, virtualized data tables for 100k+ rows, edge caching for historical data, and a streaming WebSocket architecture for real-time updates.
Results
<100ms
Render Time — For 10k data points
-50%
Onboarding — Reduction in time-to-value
99.99%
Uptime — Since launch
Cascade Finance serves institutional traders who need sub-second updates on portfolio performance. Their existing dashboard choked on datasets larger than 2,000 rows, making it unusable for their highest-value clients.
WebGL-Powered Rendering
We replaced DOM-based charting with a custom WebGL rendering pipeline that handles 10,000 data points at 60fps. Virtualized tables load only visible rows, and historical data is served from edge caches to eliminate redundant API calls.