Raghavendra Chari

About Raghavendra Chari

Experience: 14+ years in large scale Enterprise-class IT including 9+ years in Performance Test/Engineering, 1 Year in JVM Tuning and 1 year in development Experience in Java code static review and provided the tuning recommendations resulted in performance improvements Have developed web application “Performance Predictive Analytics” (PPA) using Python which creates and maintains performance summary reports for JMeter. PPA also predicts if the overall performance results of the performance test run is successful or not. Have developed Java application and induced performance/scalability issues. The sample application has been used to train and assess proficiency in Performance engineering skills for PE aspirants Extensive experience in non-functional requirement analysis, effort estimation, tests planning, test strategy and managing multiple projects Experience in identifying the metrics to look for while analyzing a Java application for performance Requirements Experience in application profiling using a Dynatrace, JProfiler and JVisualVM tool provided recommendations for code changes Good understanding of JVM Diagnostics, Object creation, garbage collection, heap dump analysis, thread dump analysis & synchronization Experience in tuning WAS parameters like servlet cache, prepared statement cache, etc, for optimal system performance Wide and in-depth experience in monitoring and tuning of 4 fundamental performance metrics CPU, Memory, I/O, and network on AIX, HP-UX, and HP Xeon using nmon. Comprehensive experience in hardware sizing, capacity planning, benchmark testing, performance regression testing, and component testing. Derived scalability factor of HP Xeon operating system for BankFusion Universal Banking application in relation with HP-UX and AIX Thorough understanding of Oracle architecture and database concepts like high water mark contention, rowlock contention, extents, redo, DBWR, processes, SGA etc, Experience in diagnose and troubleshooting database related problems with the help of AWR and ADDM Reports Good understanding and implementation of performance test/engineering concepts like utilization law, Little’s law, and application thread state and Amdahl’s law. Derived CPU Cores required using utilization’s law

Experience

1. Senior Performance Architect

   Infosys

   Mar 2017 — Present · Bengaluru, IN

   Bengaluru, Karnataka, India