Programming
Building Real-Time Streams with WebSockets
Standard dashboards refresh on page load; modern ones push updates. This lesson focuses on the bridge between a backend (like Node.js) and a frontend chart.
Level: IntermediateProgramming
What You'll Learn
WebSocket protocol vs HTTP polling vs SSE
Setting up a WebSocket server with Node.js
Broadcasting real-time events to connected clients
Consuming live data streams in the browser
Live-updating chart with Chart.js or D3.js
Handling reconnections and connection drops
Building a 'Current Active Users' widget from scratch
What's Included
🧭AI Tutor🔒
Interactive learning path with AI-generated lessons read aloud by your personal tutor
🧪Practice Lab🔒
Step-by-step lab instructions with AI guidance — run in your own IDE or sandbox.
🎙️Mock Interviews🔒
AI interviewer asks tailored questions, gives real-time feedback and a score report
📝Evaluation🔒
MCQ questions (theory, practical, code) to test your knowledge and earn a badge
⚔️Challenge AI🔒
Compete head-to-head against AI on real production problems — judged on correctness, performance, scalability, code quality, and edge cases
Course Syllabus
Module 1: WebSocket Fundamentals
- •HTTP polling vs WebSockets vs SSE
- •The WebSocket handshake & protocol
- •Setting up ws or Socket.IO on Node.js
- •Broadcasting events to all connected clients
- •Security: authentication over WebSocket
Module 2: Building the Live Data Pipeline
- •Simulating a real-time data source
- •Streaming events from server to browser
- •Handling reconnections and backpressure
- •Structuring message payloads for charts
- •Testing with multiple concurrent clients
Module 3: Live Dashboard Widget
- •Wiring WebSocket data to Chart.js
- •Sliding window pattern for time-series display
- •Rendering a 'Current Active Users' widget
- •Performance: throttling UI updates
- •Capstone: end-to-end live metrics dashboard
You're all set
Everything in this course is unlocked.
Continue Learning →✓AI Tutor
✓Practice Lab
✓Mock Interviews
✓Evaluation
✓Challenge AI