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Case Study

Real-Time Chat App

A rich instant messaging app equipped with live user status indicators, typing states, chat rooms, and secure message history storage using web sockets.

Socket.ioNode.jsMongoDBExpress.jsReact.js
Overview
Real-Time Operations
00:0008:0016:0024:00
Uptime / Health
99.9%
Uptime
Message< 20ms
Active40+
State100%
< 20msMessage
100%State
40+Active
500+ConcurrentUser
🕒
< 20msMessage Latency
🛡️
500+ConcurrentUser Capacity
🛡️
100%State Sync Accuracy
🛡️
40+Active Chat Rooms

The Challenge

  • Standard messaging systems rely on lagging HTTP query polling.
  • Unnecessary database writes and overhead from presence polls.
  • Server memory leaks from uncleaned socket connection listeners.
  • Complicated session validation on socket handshake loops.
✔️

The Solution

  • ✔️Built messaging backend from scratch using WebSockets and Socket.io.
  • ✔️Synchronized user typing and online states instantly via socket events.
  • ✔️Decoupled chat message dispatching from database save queues.
  • ✔️Implemented secure JSON Web Token validation during connection handshakes.

Key Features

// Feature 01

Instant typing state

displays

// Feature 02

User presence circles

status

// Feature 03

Decoupled DB write

buffer pipes

// Feature 04

Secure cookie auth

handshake verify

// Feature 05

Dynamic room creation

& administration

// Feature 06

Socket listener garbage

cleanup

Project Gallery

Project Impact

+ L00.METRIC
+ R00.STAT
+ B50.SYS
+ DATA.SEC
< 20msMessage Latency
500+ConcurrentUser Capacity
100%State Sync Accuracy
40+Active Chat Rooms

What I Learned

01

Decoupled Writes

Decoupling message dispatching from database writes keeps the application layer responsive under heavy concurrent loads.

02

Socket Cleanup

Cleaning up socket listeners on connection drop events prevents server memory leaks.

03

Event Boundaries

Clearly separating connection authorization from general events keeps WebSocket APIs responsive.

+ CTA.01
+ END.SECTION
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