Customer :
- The Client is an U.S. based company that offers Medical Staffing Services.
- The medical staffing services company developed a web application to streamline the process of connecting healthcare facilities with qualified medical professionals.
- A healthcare staffing agency offers staffing solutions for hospitals, clinics, and other healthcare organizations.
- The client operates a web-based platform that allows healthcare agencies to request temporary or permanent healthcare staff for different roles, including nurses, physicians, and medical assistants. The platform also enables customers to view job listings, apply for positions, and get hired by healthcare agencies.
- The platform offers a range of features including job posting, candidate matching, scheduling, and payroll management. It also provides different account options for various roles, such as Administrator, recruiter, traveler, and guest.
- The client wanted to assess the application’s ability to handle a high volume of concurrent users and ensure optimal performance under different load conditions.
Challenges :
The primary challenges faced by the client were :
- Determine the application’s maximum capacity to handle concurrent users without any decrease in performance.
- Ensuring the application’s stability and responsiveness under high user loads.
- Identifying potential bottlenecks and performance issues that could negatively impact user experience.
- Determining the maximum capacity of the application in terms of concurrent users and response times.
- Identifying areas for optimization to enhance the application’s performance.
- Evaluate the application’s stability and reliability under stress conditions.
JMeter Load Testing
To address the challenges, the client contacted JigNect and JigNect’s team decided to conduct performance testing using the JMeter load testing tool and adopted the following approach to meet the client’s requirements.
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A structured JMeter performance testing approach can solve these challenges by first identifying critical user journeys, such as job searches, candidate applications, recruiter logins, scheduling, and payroll processing. Realistic load, stress, spike, and endurance tests are then executed to measure response times, throughput, and system stability under different traffic levels.
The results help identify bottlenecks in the application, database, APIs, or server infrastructure. Based on these findings, the development team can optimize queries, improve server configuration, implement caching, and scale resources to ensure the platform delivers fast, reliable performance even during peak usage.
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