Google Cloud Migration of an Education Platform to Handle Traffic Spikes During Exams

An education technology provider offered a popular online learning platform serving thousands of students nationwide. The platform hosted online courses, exams, live classes, and interactive materials. During examination periods, traffic volumes surged dramatically, causing significant performance degradation and occasional downtime. The company aimed to migrate to Google Cloud Platform (GCP) to ensure seamless scalability, performance, and integration with Firebase services for real-time interactions.

Image representing case study

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minutes to scale infrastructure automatically

80%

reduction in latency during peak exam periods

60%

improvement in load handling capacity

About  

Problem Statement

  • The existing infrastructure was unable to handle traffic spikes, particularly during midterms and final exams, causing slow response times and frequent outages.
  • Manual scaling efforts were inefficient and delayed, leading to significant disruptions during high-demand periods.
  • Lack of real-time communication infrastructure limited engagement capabilities, impacting student-teacher interactions and live support.
  • Poor load management resulted in overloaded servers and deteriorated user experience during peak usage.

Industry: Education Technology
Services:
Cloud Migration, Auto-scaling, Load Balancing, Firebase Integration
Region:
United States

Our Tech Stack

Tech stack we used

Solution Approach

  • Conducted an assessment to identify bottlenecks and scalability limitations in the existing infrastructure.
  • Migrated the application stack to containerized environments managed by Google Kubernetes Engine (GKE), enabling rapid and automatic scaling.
  • Implemented Google Cloud Load Balancer for efficient distribution of traffic across Kubernetes pods, improving response times under peak load conditions.
  • Integrated Firebase Authentication and Realtime Database to handle real-time interactions such as live quizzes, chat support, and notifications.
  • Deployed Google Cloud CDN for efficient delivery of static content, reducing load times and enhancing the user experience.
  • Set up comprehensive monitoring and logging using Google Cloud Monitoring and Logging for real-time alerts, performance analysis, and proactive maintenance.

Benefits

  • Automatic Scalability: Instant, automated scaling during peak exam periods eliminated manual intervention and downtime.
  • Enhanced Performance: Reduced latency and significantly improved response times under high traffic.
  • Real-time Engagement: Enhanced student-teacher interactions and live communication through Firebase integration.
  • Improved User Experience: Stable performance during peak usage periods increased overall user satisfaction.
  • Simplified Management: Managed cloud services and automation significantly reduced operational overhead.

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