S JAYANTH REDDY

Led performance testing initiatives for web and enterprise applications using Load Runner and Apache JMeter. Prepared POC, Non-Functional Requirements (NFRs), test plans, and workload models. Implemented script enhancements including manual correlations, parameterization, and protocol-specific functions. Added checkpoints, transactions, and rendezvous points; used sniffing tools like Fiddler and developer tools for diagnosing communication issues. Monitored client-side metrics (Hits/sec, Throughput, Response times, TPS) and server-side metrics using Perfmon, Nmon, and JVisualVM; leveraged APM tools such as AppDynamics and Dynatrace. Executed Baseline, Load, Stress, and Endurance tests using Controller and Performance Center. Generated and analyzed thread and memory dumps; identified bottlenecks across layers and collaborated with development teams to implement improvements. Prepared detailed test reports and recommendations to optimize end-to-end performance.

Performed performance testing for web applications using Load Runner and Fiddler for script recording, with JMeter for web services. Designed test plans and workload models; implemented modular scripting with parameterization and correlation; added assertions, timers, and transactions. Executed Baseline, Load, Stress, and Endurance tests across multiple environments using Controller and Performance Center; monitored system health with Dynatrace and Perfmon; diagnosed bottlenecks and recommended fixes; produced execution summary and client-ready performance reports. Collaborated with cross-functional teams to ensure timely delivery and alignment with requirements.

Contributed to multiple client projects across finance and health domains as a Performance Tester. Created and maintained performance test scripts using LoadRunner and JMeter; implemented correlation, parameterization, server response verification, and transactions. Designed and executed Baseline, Load, Stress, and Endurance tests; identified bottlenecks across tiers and provided actionable recommendations. Used monitoring tools like PerfMon, Grafana, AppDynamics, and Dynatrace to analyze performance data, and produced client-ready reports detailing findings and recommendations. Collaborated with development teams to resolve defects and optimize end-to-end performance.