Quality Automation and Testing
Quality – Performance and Reliability: How to Leveraged Automation Testing to Handle 30,000 Concurrent Users
Discover how, an ed-tech platform, leveraged automation testing with aiTest to efficiently handle 30,000 concurrent users. Learn about the strategic actions to enhance scalability, improve performance, and build client confidence, resulting in faster response times and a robust online training environment.
Quality - Performance and Reliability: How to Leveraged Automation Testing to Handle 30,000 Concurrent Users
Enhancing Scalability and User Experience Through Advanced Automation Solutions
Company Overview
An education technology platform that helps small and medium-sized businesses launch and manage online training products. It provides a comprehensive suite of tools for managing training businesses, including services like course creation, event management, and payment integration. The system architecture is based on microservices and Kubernetes.
Issue
Validate the system’s capability to manage up to 30,000 concurrent users without performance issues, essential for supporting large-scale online training events.
Test critical workflows, including event and course checkouts, to ensure reliability under high user demand.
Automate complex workflows across microservices to validate resilience and maintain system integrity during peak usage periods.
Ensure seamless user interactions and maintain high service quality through rigorous testing and performance optimization.
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Actions Taken
Implemented Automation Tools
Utilized advanced automation tools to streamline testing processes, ensuring comprehensive coverage and efficiency.
Progressive Load Testing
Gradually tested the platform’s capacity from 1,000 to 30,000 users, allowing for precise performance tuning a
Optimized Performance and Reporting
Addressed bottlenecks, enhancing system speed and reliability, while delivering detailed reports to boost stakeholder confidence.
Solution
Scalable Performance
Successfully supported up to 30,000 concurrent users, demonstrating the platform’s capability to handle high demand without compromising performance.
Improved System Reliability
Resolved key issues, leading to a robust system that operates reliably under peak conditions.
Enhanced User Experience
Achieved a 2-second page load time, significantly improving user satisfaction and engagement.
Informed Decision-Making
Provided stakeholders with comprehensive performance reports, facilitating better strategic decisions and reinforcing trust in the platform.
Impact
Enhanced Scalability
- Efficiently managed thousands of concurrent users, ensuring the platform can handle peak demands.
- Increased capacity for high user volumes.
- Prepared for future growth and expansion.
Cost Savings
- Reduced the need for manual testing, saving time and resources.
- Lowered testing costs.
- Decreased labor and resource expenditures.
Improved Reliability
- Boosted platform stability by resolving performance issues, leading to consistent service quality.
- Increased system dependability.
- Minimized downtime and disruptions.
Customer Testimonials
Our client's ed-tech platform, faced challenges with reliability and scalability. Before aiTest, we manually tested our complex microservices architecture, but it didn’t provide the confidence we needed. Working with aiTest, we scaled our load testing from 1,000 to 30,000 users, identified key issues, and resolved them efficiently.
Their all-in-one solution helped us meet our SLA of two seconds per page load, and the detailed reports boosted client confidence. aiTest has been invaluable in ensuring our platform can scale and perform reliably, and I highly recommend their services.
Makarand Bhatamrekar