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Education / EdTech6 months7 engineers

EduScale

Cloud Migration for EdTech Platform

EduScale was a cloud transformation engagement for an online education platform that had outgrown its legacy on-premise infrastructure. The platform serves 200,000+ students and educators with live video classes, assessment tools, and an adaptive learning engine. During exam seasons, traffic would surge 10x, causing outages and degraded user experience. We re-architected the entire platform from a monolithic PHP application into a cloud-native microservices ecosystem on AWS.

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Downtime During Migration
10x
Traffic Handled
99.95%
Uptime
8min
Deploy Time
40%
Cost Reduction
95%
Test Coverage

The Challenge

What We Faced

The client's monolithic PHP application was running on bare-metal servers with a single-point-of-failure database. During peak enrollment periods and exam seasons, the platform regularly crashed under 10x normal load, resulting in lost revenue and user trust. Deployments required 4-hour maintenance windows, and the team had no CI/CD pipeline, automated testing, or infrastructure-as-code practices. The migration needed to happen with zero downtime — the platform could not afford an outage during the academic year.

Our Solution

How We Solved It

We executed a phased migration strategy: first containerizing the monolith with Docker, then decomposing into 12 microservices (auth, video, assessments, analytics, etc.) deployed on AWS EKS. We implemented a strangler fig pattern to migrate services incrementally without downtime. The video streaming service was moved to AWS MediaLive with CloudFront CDN for global low-latency delivery. We built a full CI/CD pipeline with GitHub Actions, automated testing (95% coverage), and Terraform for infrastructure-as-code. Auto-scaling groups handle traffic spikes automatically.

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RESULTS

Outcomes

Key Results

Zero downtime during the entire 6-month migration
10x traffic surge handled seamlessly during first post-migration exam season
99.95% uptime (up from 96.2% on legacy infrastructure)
Deployment time reduced from 4 hours to 8 minutes with CI/CD
40% reduction in cloud infrastructure costs through right-sizing
95% automated test coverage across all microservices
Video streaming latency reduced by 70% with CloudFront CDN
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Technology Stack

ReactNode.jsGoAWS EKSTerraformDockerKubernetesGitHub ActionsCloudFrontRDS PostgreSQLElastiCacheAWS MediaLive
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