Launching “AiTest” soon. A Cross-Browser performance testing SaaS platform. Automated but real load testing of your application. Stay tuned!
Achieving Seamless User Experience and System Stability Through Targeted Load Testing
A client of Applied AI Consulting, sought performance testing for their reviews and ratings application, which is utilized by major e-commerce platforms like Flipkart. The goal was to evaluate how the API performs under high user load and stress conditions to ensure the platform’s reliability, scalability, and responsiveness during peak usage in real-world scenarios.
Ensured the application could handle increased user loads, supporting future growth and preventing service interruptions. (Tools: Apache JMeter, aiTest)
Identified and fixed performance issues in critical functionalities to maintain consistent service delivery. (Tools: Apache JMeter, aiTest)
Measured the impact of user loads on application performance to guide system improvements. (Tools: Apache JMeter, aiTest)
Utilized Apache JMeter and aiTest to simulate user interactions and evaluate performance across various API endpoints, ensuring comprehensive functionality coverage.
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Applied Apache JMeter and aiTest to simulate user interactions and assess performance across various API endpoints, ensuring a thorough evaluation of critical functionalities.
Tested the platform with user loads ranging from 100 to 5000 to assess system performance and identify potential areas for optimization.
Reviewed data to detect performance degradation and bottlenecks, providing actionable insights for system improvements.
Identified significant performance slowdowns with increased user loads, highlighting areas needing improvement to ensure faster user interactions. (Tools: Apache JMeter) Revealed performance issues that needed addressing to maintain efficiency. Guided optimizations to improve response times and service quality.
Found high failure rates in critical processes under heavy loads, pointing out where reliability enhancements were necessary. (Tools: aiTest) Highlighted reliability issues affecting user experience. Enabled focused improvements to prevent system failures.
Pinpointed key bottlenecks in processes, allowing for targeted enhancements to improve system performance and user satisfaction. (Tools: Apache JMeter, aiTest) Identified specific performance issues causing delays. Enabled precise optimizations to enhance overall system reliability.
– Head of Engineer
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