The client is a leading asset visibility and tracking platform specializing in real-time supply chain data for pharmaceuticals and manufacturing. They integrate IoT sensors, endpoints, gateways, and cloud technologies, establishing themselves as a major player in supply chain logistics and analytics.
The client needed thorough quality testing of their application across cloud, mobile, API, and device platforms to ensure reliability before reaching customers. They required that products withstand damage throughout lengthy supply processes and that device sensors and data communication gateways be reliable and practical for their intended use.
Conducted extensive testing automation using various tools to ensure platform reliability, including functional, regression, and performance tests on hardware sensory devices and software.
Automated load testing scripts validated application performance and load times against baseline references for each web page.
Implemented real-time simulations of sensor movements to assess application and sensor performance throughout delivery cycles.
Used JMeter code for real-time application performance capture and validated data correctness through DB queries compared to the UI.
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