80% Infrastructure Cost Reduction by Migrating Online Learning Platform to AWS
We partnered with a leading U.S. online learning platform to modernize its infrastructure and resolve persistent performance and scalability issues. By migrating the application from Heroku to AWS and implementing a high-availability cloud architecture with optimized video streaming, we improved reliability, enabled massive transaction scalability, and reduced infrastructure costs by 80%.
Success Highlights
- 80% reduction in infrastructure costs after cloud optimization
- 7,000+ transactions per second supported during peak usage
- 99.9% uptime achieved with multi-AZ AWS architecture
Key Details
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Industry: Education Technology
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Geography: United States
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Platform: Amazon Web Services (AWS)
Business Challenge
As online learning adoption accelerated, the client’s existing infrastructure struggled to support growing demand. The legacy stack deployed on Heroku introduced performance bottlenecks, high operational costs, and frequent availability issues.
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Performance Bottlenecks: Video-heavy learning sessions caused slow response times and degraded user experience during peak usage.
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Limited Scalability: Heroku-based deployments struggled to handle rapidly increasing student traffic
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High Operational Costs: The infrastructure incurred significant expenses without delivering proportional performance improvements.
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Platform Availability Issues: Traffic spikes caused service disruptions due to limited scaling capabilities.
Our Solution Approach
We designed and executed a cloud-native migration strategy to modernize the platform, improve reliability, and optimize infrastructure costs.
Assess Infrastructure Bottlenecks
Conducted a comprehensive assessment of the existing Heroku-based deployment to identify scalability limitations, cost inefficiencies, and performance bottlenecks.
Design Resilient AWS Architecture
Architected a single-region, multi-Availability Zone deployment to ensure high availability, fault tolerance, and scalable infrastructure.
Implement Cloud Infrastructure and CI/CD Pipelines
Built automated infrastructure provisioning and deployment pipelines to streamline application releases and ensure consistent environment management.
Optimize Video Delivery and Application Performance
Implemented adaptive bitrate streaming, video transcoding pipelines, and edge caching to deliver high-quality video streaming at scale.
Technical Highlights
- AWS multi-Availability Zone architecture ensuring fault tolerance and high availability
- Auto-scaling compute infrastructure for dynamic workload management during peak traffic
- CI/CD pipelines enabling automated build, test, and deployment workflows
- Video streaming optimization using HLS adaptive bitrate streaming
- Edge caching via CDN distribution to reduce latency and improve video playback performance
// Python - Auto-Scaling Traffic Management
def scale_application(request_rate):
if request_rate > threshold_high:
increase_instances()
elif request_rate < threshold_low:
reduce_instances()
monitor_latency()
rebalance_load()Business Outcomes
The cloud migration transformed the learning platform into a scalable, resilient system capable of handling high student demand while significantly reducing operational costs.
Optimized AWS resource allocation and auto-scaling policies dramatically lowered operational expenses.
The cloud-native architecture enabled the platform to handle heavy workloads and peak student activity without performance degradation
Multi-AZ infrastructure improved uptime and ensured reliable access for schools and students nationwide.
- Faster deployment cycles through automated CI/CD pipelines
- Improved video streaming performance and reduced buffering
- Scalable infrastructure capable of supporting future platform growth