Case Study
Real-time Social Platform
Built a modern social platform with real-time feed, notifications, and event streams.
Full Cycle
Timeline
Core Engineering
Team Size
Delivered a decoupled, event-driven social feed platform utilizing low-latency Redis caching and edge distribution for instant updates.
Impact
The Problem
Relational queries were bottlenecking feed generation under high concurrency, causing high latency and memory pressure.
Our Solution
Implemented fanout-on-read feed architecture with Redis caching, GraphQL for flexible queries, WebSocket for real-time updates, and microservices architecture.
The Challenge
What made this project complex
Building a scalable feed system that generates personalized feeds in real-time with low latency and seamless bidirectional updates.
Results & Impact
Measurable improvements
Feed Latency
Sub-100ms
Redis Cache
Update Protocol
WebSocket
Bidirectional
Query Layer
GraphQL
Declarative
Edge Delivery
Global CDN
Asset Caching
What We Delivered
Feed latency reduced to sub-100ms through structured Redis caching
Real-time push notifications delivered via WebSocket connections
Decoupled microservice architecture isolating compute-heavy workers
Optimized GraphQL schema preventing over-fetching of media assets
Edge caching of static media and avatars via CDN
Technology Stack
Tools and frameworks used
- React
- GraphQL
- Node.js
- MongoDB
- Redis
- WebSocket
- Kafka