Scalable Online Learning Platform
Architecture rebuild and scaling project for an EdTech company serving 100,000+ concurrent learners across multiple cloud regions, with advanced learning analytics and microservices migration.
01The Challenge
EduTech Solutions had grown rapidly to serve 400,000 registered learners but their monolithic Rails application was buckling under load. Peak periods — exam seasons, cohort launches — caused partial outages. The engineering team had accumulated four years of technical debt, database queries were unoptimised, and there was no caching layer. The platform was deployed on a single region of dedicated servers with no auto-scaling capability.
02The Solution
Prodevel led a phased migration from monolith to microservices without interrupting live users. Phase 1 extracted the authentication, content delivery, and assessment services into independent Next.js and Python FastAPI services behind an API gateway. Phase 2 introduced Redis caching for course content and a Kubernetes cluster on AWS with auto-scaling node groups for peak load handling. Phase 3 added Elasticsearch for course search and a learning analytics pipeline using Python/Pandas delivering per-learner progress insights to instructors.
03Results
- Platform now handles 100,000+ concurrent users without degradation
- 99.9% uptime maintained through exam season — previously 94%
- Average page load time reduced from 4.2s to 2.1s
- Infrastructure costs reduced by 35% through auto-scaling vs always-on servers
- Course search latency reduced from 800ms to 45ms via Elasticsearch
- Learning analytics enabled data-driven curriculum improvements
Tech Stack
Services Used
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