Case Study

Achieved 80-90% Reduction in 5xx Errors and 99% Uptime for EdTech Platform During Critical Exam Windows

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Industry 

EdTech

Expertise 

Google Kubernetes Engine (GKE), Google Compute Engine (GCE), Google Cloud SQL, Google Cloud Storage

Offerings/solutions 

Migrated to GCP with compliant GKE infrastructure for Saudi data residency and scalable online exams.

About the Client

ExamOnline, established in 2009, is a leading edtech company specializing in remote proctoring and online examination solutions. It enables educational and corporate institutions to conduct secure, scalable, and compliant digital assessments, transforming traditional exam administration with innovative technology.

Highlights

80-90%

Reduction in Errors

99%

Uptime

2000-3000 Concurrent Users

Peak Performance Infrastructure

The Challenge

The client’s AWS infrastructure failed to meet Saudi Arabia’s data residency and regulatory requirements, lacked region-specific deployment causing data sovereignty and latency concerns, and suffered from operational complexity managing multiple services across regions without unified monitoring, security, and automation frameworks.

Solutions

• Provisioned and deployed ExamOnline’s infrastructure on GCP Dammam to ensure data residency and high availability, replicating the AWS setup using GCP equivalents.
• Implemented GKE for containerized workloads with autoscaling and health checks, and set up CI/CD pipelines using Cloud Build and ArgoCD.
• Configured secure networking with VPC, firewalls, and global load balancing.
• Deployed Cloud SQL with HA, backups, and secure secret management via AWS Secret Manager and AWS KMS.
• Enabled full observability with Cloud Monitoring and Logging.
• Optimized data migration from Amazon S3 using Cloud Storage with lifecycle policies and cost-efficient classes.

The Results

Delivered a scalable, secure GKE infrastructure with 3-second response times, 99% uptime, 80-90% reduction in errors, and seamless support for 2000-3000 concurrent exam users through optimized load balancing, autoscaling, and centralized monitoring.

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