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CASE STUDY

EdTech Learning Management System

Built scalable LMS platform supporting 500K+ concurrent users with live video streaming and interactive assessments.

Industry: EdTech
Region: Global
Services: Cloud, DevOps
Duration: 8 months
BUSINESS IMPACT
500K+
↗
Concurrent Users
<3s
↗
Video Latency
High
↗
Completion Rate
Success
Verified Outcome

Overview

A leading EdTech company, with millions of daily transactions, faced challenges with scalability, system reliability, and high infrastructure costs. Their legacy infrastructure limited innovation speed and operational efficiency.

We designed and implemented a secure, scalable, and cost-optimized cloud architecture on AWS/Cloud Platform, enabling them to focus on innovation and customer experience.

The Challenge

  • -The learning management platform's existing e-learning system crashed repeatedly during peak study hours.
  • -The interactive virtual classrooms had high video lag, leading to low completion rates and student frustration.

Our Solution

  • +We rebuilt their virtual classroom framework from the ground up using WebRTC and Node.js backend cluster, caching user profiles in Redis to manage concurrent authentication requests.

The Outcome

  • ★500K+ concurrent users achieved
  • ★<3s video latency achieved
  • ★High completion rate achieved
  • ★Enhanced security and monitoring metrics

Technology Stack

React
Node.js
WebRTC
MongoDB
Redis
Multi-Cloud

Solution Architecture

Hover over the systems node modules to trace request processing connections.

SECURED CLOUD BACKEND PLATFORMGateway NodeMicroservice ClusterDatabase CacheCLIENTSGLOBAL CDNPROXY GATEAPI GATEWAYAPP CONTROLLERPRIMARY STOREREDIS CACHESYSTEM METRICS MONITORING & AUDIT LOGGING TELEMETRY PIPELINE
“

"Rebuilding our LMS platform with WebRTC and Redis cache completely resolved our peak load crashes. Our video latency dropped under 3 seconds and lesson completion rates skyrocketed."

AP

Amit Patel

Director of Product

Key Results

  • Infrastructure cost reduced by 40% through right-sizing.
  • Achieved <3s system availability across multi-AZ clusters.
  • Deployment release schedules reduced from hours to minutes.
  • Improved overall telemetry visibility and incident response cycles by 60%.
  • Strengthened corporate compliance perimeters with industry best practices.

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