Amit Singh.

Specialized in end-to-end performance engineering and infrastructure optimization for enterprise-grade applications across multiple environments.

Performed in-depth JVM and garbage collection (GC) analysis to optimize memory usage and successfully scale down application servers in performance environments, improving infrastructure efficiency and cost-effectiveness.

Conducted thorough application diagnostics using tools such as Splunk, Grafana, HP JMeter, Precise i3, and JDigger to analyze thread dumps and performance metrics. Built interactive Splunk dashboards for real-time test monitoring and insights.

Developed custom automation tools to streamline performance testing processes:

• Shell utilities for rapid and controlled server restarts
• A .NET (C#) utility to trace transactions across business layers

Managed full-spectrum performance testing activities—from requirements gathering, estimation, and planning to script development, workload modeling, test execution, and monitoring. Delivered detailed performance assessments and tuning recommendations across the tech stack.

Played a dual role in Performance Monitoring and Engineering, driving proactive performance analysis, JVM stability, and system tuning for large-scale enterprise applications.

As part of the Performance Monitoring team:

• Led and monitored Load and Soak tests using tools such as CA Wily Introscope, BMC Performance Assurance, BMC Perceiver, and Oracle SQL Developer for ESB reporting.
• Developed detailed monitoring reports and conducted client-facing presentations via email and live sessions.
• Investigated portal JVM crashes and bottlenecks using tools like IBM Heap Analyzer, TMDA, Verbose GC Analyzer, Eclipse MAT, PMAT, IBM Support Assistant, and Log Analyzer.
• Triage and escalated performance defects, ensuring timely resolution in coordination with development teams.

As part of the Performance Engineering team:

• Profiled high-latency transactions at the client, server, and JVM layers using tools like Dynatrace Ajax Edition, HTTP Watch, jProfiler, CA Wily, browser dev tools, and SonarQube.
• Led defect triage meetings, provided root cause insights, and coordinated performance fixes to reduce turnaround time.
• Delivered actionable performance tuning recommendations to improve responsiveness and system throughput across key services.

Designed and developed a Global Performance Test Reporting Tool to standardize report generation and accelerate performance result analysis across teams—reducing manual reporting effort by 31 hours per test and generating estimated annual savings of $1.2 million.

The tool was implemented as a thin-client web application using ASP.NET (frontend) and Microsoft SQL Server 2014 (backend), accessible through a browser-based interface. Users could upload HTML reports (in ZIP format), from which the tool would automatically extract, parse, and insert performance data into a structured database.

Key achievements include:

• Reduced reporting effort from 8000 to 2000 hours per year.
• Automated report generation, enabling main reports in 30 seconds and detailed reports in under 2 minutes.
• Created a scalable and standardized framework for trend analysis and test result archival, enabling real-time performance insights and improved decision-making.

The tool became an integral part of the testing lifecycle, significantly enhancing operational efficiency and data reliability for global performance engineering teams.