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Real-time Analytics Dashboard
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Real-time Analytics Dashboard

High-performance dashboard processing millions of events per second using WebSockets and D3.js.

ReactD3.jsSocket.ioGo

Overview

This project involved building a high-performance dashboard processing millions of events per second using WebSockets and D3.js. The dashboard is built with React, D3.js, Socket.io, and Go.

The Challenges

  • 1.Building a high-performance dashboard processing millions of events per second.
  • 2.Using WebSockets to handle real-time data streaming.
  • 3.Using D3.js to visualize the data.

The Solutions

  • Used WebSockets to handle real-time data streaming.
  • Used D3.js to visualize the data.
  • Used Go to build the backend.
Project Details

Technologies

ReactD3.jsSocket.ioGo

Key Results

  • Successfully processed millions of events per second.
  • Achieved a 99.9% uptime for the dashboard.
  • Reduced the data processing time by 50%.

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