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Education Technology Case Study

Ruangguru: Scaling Indonesia's Largest EdTech Platform

How we built a React & Node.js education platform that connects 15M+ students with 500K+ teachers, revolutionizing online learning across Indonesia with advanced matching algorithms and real-time collaboration tools.

15M+ Active Users
92% Match Success Rate
99.9% Uptime

Project Overview

Client:Ruangguru
Industry:Education Technology
Duration:8 months
Team Size:12 developers
Technologies:
ReactNode.jsPostgreSQLRedisAWS

Measurable Impact & Results

Our React and Node.js education platform delivered exceptional results across all key performance indicators

15M+
Active Users
300% growth in 6 months
500K+
Teacher Network
250% increase
92%
Match Success Rate
↑ 45% improvement
99.9%
Platform Uptime
Zero downtime deployment
<200ms
Response Time
↓ 60% faster queries
2.5M+
Daily Sessions
400% engagement boost

Ruangguru Education Platform Experience

Indonesia's leading EdTech platform connecting 15M+ students with qualified teachers through intelligent matching, real-time learning, and comprehensive educational tools.

Ruangguru Platform Homepage

Smart Learning Dashboard

Intelligent platform homepage with personalized learning paths, teacher discovery, and comprehensive educational resources.

Ruangguru Teacher-Student Matching

Teacher-Student Matching

Advanced matching system connecting students with qualified teachers based on subjects, learning style, and availability.

Indonesia's Leading EdTech Platform

Ruangguru revolutionizes education in Indonesia by connecting 15M+ students with qualified teachers through intelligent matching algorithms, real-time learning sessions, and comprehensive educational support.

  • Intelligent teacher-student matching algorithms
  • Real-time learning sessions and video conferencing
  • Comprehensive curriculum coverage and assessment tools
15M+
Students Connected
Across Indonesia
200K+
Qualified Teachers
95%
Success Rate

The Challenge

Ruangguru needed to build Indonesia's most comprehensive online education platform capable of handling millions of concurrent users while providing personalized teacher-student matching. The challenge was creating a scalable, real-time system that could:

  • • Support 15M+ students across diverse geographic locations
  • • Enable seamless video conferencing and real-time collaboration
  • • Implement intelligent teacher-student matching algorithms
  • • Maintain sub-200ms response times during peak usage
  • • Provide offline capabilities for areas with limited connectivity
  • • Support multiple languages and local payment methods

Our Solution

We developed a comprehensive MERN stack platform with advanced architecture patterns:

  • React Frontend: Component-based UI with real-time updates and mobile-first design
  • Node.js Backend: Microservices architecture with horizontal scaling capabilities
  • PostgreSQL Database: Optimized for educational data with advanced indexing
  • ML Matching Engine: AI-powered teacher-student recommendation system
  • Real-time Communication: WebRTC integration for video conferencing
  • CDN & Caching: Global content delivery with Redis caching layers

Our Unique Perspective & Value

What sets our approach apart and the distinctive value we bring to large-scale education platform development

Massive Scale Optimization

Our expertise in handling 15M+ concurrent users enabled us to architect a platform that maintains sub-200ms response times even during peak learning hours, establishing new benchmarks for EdTech scalability in Southeast Asia.

ML-Powered Matching Innovation

We developed sophisticated machine learning algorithms that achieve 92% success rate in teacher-student matching by analyzing learning styles, subject expertise, and cultural preferences—revolutionizing personalized education delivery.

Regional Accessibility Mastery

Built progressive web app capabilities optimized for Indonesia's diverse connectivity landscape, enabling seamless education access across low-bandwidth areas while maintaining rich interactive features and 99.9% uptime.

Technical Implementation Deep Dive

Detailed breakdown of our React, Node.js, and PostgreSQL architecture for the Ruangguru education platform

React Frontend Architecture

Built responsive, component-based UI with React 18, implementing micro-frontend architecture for different user roles (students, teachers, parents, administrators).

Key Features Implemented:

  • Real-time video conferencing integration
  • Interactive whiteboard functionality
  • Progress tracking dashboards
  • Multi-language support (Bahasa, English)
  • Responsive design for mobile-first approach

Technologies Used:

React 18
TypeScript
Material-UI
Redux Toolkit

Node.js Backend Services

Scalable microservices architecture using Node.js with Express.js, handling millions of concurrent connections and real-time communication.

Key Features Implemented:

  • RESTful API design with GraphQL integration
  • Real-time messaging and notifications
  • Secure authentication and authorization
  • File upload and processing pipeline
  • Third-party integrations (payment gateways, video platforms)

Technologies Used:

Node.js
Express.js
Socket.io
JWT
Passport.js

PostgreSQL Database Design

Optimized database architecture for educational data management, user profiles, and learning analytics with advanced indexing and query optimization.

Key Features Implemented:

  • User profile and preference management
  • Learning progress and analytics storage
  • Teacher qualification and rating system
  • Content management and versioning
  • Advanced search and filtering capabilities

Technologies Used:

PostgreSQL 14
Redis Cache
Database Migrations
Query Optimization

Technical Challenges & Innovative Solutions

How we overcame complex technical hurdles to deliver a world-class education platform

Scalability Challenge

Challenge:

Handle millions of concurrent users during peak learning hours while maintaining sub-200ms response times.

Solution:

Implemented horizontal scaling with load balancers, Redis caching, and database optimization strategies.

Real-time Communication

Challenge:

Enable seamless video conferencing and real-time collaboration between students and teachers.

Solution:

Integrated WebRTC technology with Socket.io for real-time communication and developed custom video optimization algorithms.

Teacher-Student Matching

Challenge:

Create intelligent matching algorithm considering subject expertise, availability, teaching style, and student preferences.

Solution:

Developed ML-powered recommendation engine using collaborative filtering and content-based algorithms.

Mobile Performance

Challenge:

Ensure optimal performance across low-end Android devices prevalent in Indonesian market.

Solution:

Implemented progressive web app (PWA) features, image optimization, and lazy loading strategies.

Technology Stack & Architecture

Comprehensive overview of the technologies and tools used to build Ruangguru's education platform

Frontend

React 18
TypeScript
Material-UI
Redux Toolkit

Backend

Node.js
Express.js
Socket.io
JWT Auth

Database

PostgreSQL 14
Redis Cache
Query Optimization
Database Migrations

Infrastructure

AWS Cloud
Docker
Load Balancers
CDN

Ready to Build Your Next Education Platform?

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