CASE STUDY
Industry | Education
Technology | Test Automation
Location | United States
The University of Chicago created an intelligent chatbot system to better facilitate scholar engagement by providing real-time support for educational and management queries. However, the structure faced substantial challenges in managing peak traffic, significantly during pivotal periods like registration and examinations. With a baseline of 6,500 simultaneous users and spikes of up to 32,000, confirming seamless execution and reliability was pivotal. The university required a robust screening strategy to substantiate the system’s extensibility, responsiveness, and trustworthiness under heavy tons.
Royal Cyber’s test automation consultants addressed these obstacles through thorough performance testing services. By leveraging JMeter and progressive monitoring instruments, the team assessed key metrics such as response times, mistake rates, and resource usage to ensure the chatbot could meet the demands of a large student population in a complex, yet coherent manner.
Massive concurrent user load, requiring the system to scale from 6,500 to upwards of 32,000 users.
Resource constraints, including high CPU and restricted RAM utilization, risked destabilizing the entire system.
Variable response times, with some delays far exceeding acceptable limits under peak loads troubled the team.
Minimizing error rates became crucial to ensure reliability during vital usage periods.
Enhanced System Scalability
The chatbot was optimized to smoothly handle 32,000 concurrent users, with dynamic scaling to 61 containers during peak loads.
Cost-Efficient Resource Utilization
By finely tuning resource allocation, the team achieved a 30% decrease in operational expenses
By finely tuning resource allocation, the team achieved a 30% decrease in operational expenses
Identified and resolved bottlenecks in API performance, reducing response times and error rates.
Optimized container resource allocation to balance CPU and RAM usage efficiently.
Implemented dynamic scaling to automatically adjust resources during peak traffic periods.
- The chatbot can now confidently handle heavy student traffic without slowing down.
- Key performance issues were uncovered early, preventing outages during critical periods.
- Faster response times created a smoother, more reliable experience for students.
- Smarter resource use helped the university cut operating costs significantly.
- Automated scaling ensures the system stays stable, even when demand suddenly spikes.
80%
Increase in Customer Activity
Audience
- IT Directors, IT Managers, IT Project Coordinators
- Solution Architects, Systems Architects, Technical Specialists
- IT Consultants, Test Automation Engineers, QA Leads
- Business Analysts, Project Managers, Program Managers
