LMS
A comprehensive Learning Management System built for scale — serving thousands of concurrent learners across educational and corporate environments.
41% → 78%
Course completion rate
10K+
Active learners
9,400
Peak concurrent users
60%
Faster course authoring
Overview
About this project
EduTech Institute needed a modern, scalable LMS to replace an aging third-party platform that was limiting course creation flexibility, straining under concurrent user load, and delivering a learner experience that felt dated. With 8,000 enrolled learners and ambitious growth targets, a custom-built platform was the only viable path.
We designed and delivered a full-featured LMS from the ground up: a rich course authoring environment for instructors, a fluid learning interface for students, live cohort sessions, progress analytics, and a certification engine — all running on a cloud-native architecture designed to scale to 50,000+ concurrent users.
Project Details
- Client
- EduTech Institute
- Delivered
- Nov 14, 2023
- Category
- TechnologyWebsite
- Technologies
- ReactNode.jsGraphQLMongoDBAWSWebRTCCloudFront
The Challenge
A legacy third-party LMS was limiting growth, causing performance issues, and delivering a poor learner experience.
The existing platform could not support more than 1,200 concurrent users without degraded performance, forcing the institute to throttle enrolments. The course authoring tools were inflexible, preventing instructors from creating the interactive content types that modern learners expect. Completion rates sat at 41% — far below the 70%+ industry benchmark — largely attributed to a disengaging learner UX. Switching to a custom platform was a strategic imperative.
Key Challenges
- Rich course authoring with video, quizzes, and branching scenarios
- Adaptive learning path recommendations
- Live cohort sessions via WebRTC
What we delivered
The Solution
Built a cloud-native LMS with rich course authoring, adaptive learning paths, and an infrastructure that scales to 50K+ users.
The platform was built on a React frontend with a Node.js/GraphQL API layer and MongoDB for flexible course content storage. AWS infrastructure with auto-scaling handles concurrent load, while a CDN delivers video content with adaptive bitrate streaming. The course authoring tool supports video, quizzes, assignments, code sandboxes, and branching scenarios. A recommendation engine suggests next-best content based on learner behaviour. Live cohort sessions are powered by WebRTC.
Results
Completion rates rose from 41% to 78%, serving 10,000+ active learners with zero downtime during peak enrolment.
Course completion rates improved from 41% to 78% within the first six months — attributed to the improved UX, progress nudges, and adaptive content pathways. The platform successfully handled a peak of 9,400 concurrent users during the first major enrolment period with zero downtime. Active learner count grew from 8,000 to 10,000+ within the year. Instructor course creation time dropped by 60% due to the improved authoring tools.
41% → 78%
Course completion rate
10K+
Active learners
9,400
Peak concurrent users
60%
Faster course authoring
Our Approach
How we got there
Discovery & Migration Planning
Audited the existing platform, mapped all courses and learner data, and planned a zero-disruption migration strategy.
Architecture Design
Designed the cloud-native architecture on AWS with auto-scaling, CDN video delivery, and a flexible MongoDB schema for course content.
Core Platform Build
Built the learner interface, course authoring tool, and API layer over three months in parallel squads.
Data Migration
Migrated 1,200+ courses and 8,000 learner records from the legacy platform with full progress history preserved.
Launch & Scale
Launched to the full learner base and monitored infrastructure performance through the first two major enrolment windows.
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