Case Study

Amazon EKS Autoscaling Achieves 30% Faster Response Times and 40% Fewer Resource Bottlenecks During Peak Exam Periods

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Industry 

EdTech

Expertise 

Amazon ECR, BitBucket, AWS CodeBuild, Amazon EKS, Amazon EC2

Offerings/solutions 

Amazon EKS autoscaling boosted response times, and ArgoCD accelerated deployments and security.

About the Client

ExamOnline is an innovative remote proctoring solution that is transforming online exam conduct. They aim to provide the most secure, efficient, and cost-effective solution to educational institutions and corporations worldwide.

Highlights

25%

Increase in Deployment Speed

30%

Response Time Improvement

50%

Reduction in Security Incidents

The Challenge

The customer struggled with performance and scalability issues in their EC2-based infrastructure, especially during peak periods like exams when user logins surged. Manual deployment processes led to frequent downtimes and increased operational complexity, while the lack of an automated CI/CD pipeline resulted in inefficient and error-prone updates. This monolithic infrastructure hindered scaling efforts, security, and overall operational management, making it difficult to meet growing demands.

Solutions

• Containerized applications and automated deployments on Amazon EKS using a CI/CD pipeline with AWS CodePipeline, AWS CodeBuild, and ArgoCD.
• Amazon EKS manages microservices, with Horizontal Pod Autoscaler (HPA) ensuring scalability during peak traffic.
• Source code in Bitbucket is built and deployed via AWS CodeBuild and ArgoCD, with Docker images in Amazon ECR.
• AWS IAM roles provide secure access, while GuardDuty, CloudTrail, and Security Hub monitor for threats; Amazon Inspector scans for vulnerabilities.
• The database is on Amazon RDS with Multi-AZ for high availability.
• A load balancer distributes traffic across EC2 instances or EKS pods to handle concurrent logins.

The Results

Amazon EKS with autoscaling improved response times by 30% and reduced resource bottlenecks by 40%, while a CI/CD pipeline with ArgoCD increased deployment speed by 25% and decreased human errors by 50%, leading to enhanced efficiency and reliability.

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