Vishnupriya
Devarajulu
Software Engineer at MSR Technologies
"Performance Optimization in Software Applications"
"Performance Optimization in Software Applications"
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Session: Performance Optimization in Software Applications
In today’s fast-paced, user-driven world, delivering high-performing, reliable applications is no longer optional, it’s essential. The Karate Gatling Framework is an innovative solution that integrates UI and API performance testing into one seamless platform, providing businesses with the confidence to handle real-world challenges like heavy user traffic and complex workflows.In this session, I will take you through the journey of developing this framework, its core capabilities, and how it simplifies performance testing for modern applications. By combining powerful simulation tools and detailed reporting, the Karate Gatling Framework not only identifies bottlenecks but also offers actionable insights to resolve them quickly.
We’ll also explore how integrating Artificial Intelligence enhances the framework further, enabling predictive analysis and smarter anomaly detection. Through real-world examples, I’ll demonstrate how this framework has transformed the performance of mission-critical systems, ensuring scalability, reliability, and a better user experience.
Whether you’re a developer, tester, or technical leader, this talk will provide you with practical knowledge and forward-thinking strategies to elevate your performance testing game. Join me to learn how the Karate Gatling Framework can help your applications achieve new heights of speed and reliability.
Key Takeaways
- Learn how integrating tools like Karate Gatling and Lighthouse can uncover critical performance bottlenecks, from APIs to JavaScript requests, and guide effective optimizations.
- Understand the impact of performance issues on user experience and business goals, and how to prioritize fixes for maximum impact.
- Explore actionable strategies to analyze, report, and drive improvements in application performance through data-driven insights.
Bio
Priya Devarajulu is a Senior Full Stack Software Engineer with over 10 years of experience at companies such as American Express, FIS, Cigna, Wells Fargo, and Credit Suisse. She holds a Master’s in Computer Engineering from the University of Houston Clear Lake, where she also served as a Graduate Teaching Assistant, instructing courses on Machine Learning and Digital Design & Computer Architecture, covering Artificial networks, Digital circuits, Algorithms, Micro Architecture and software computer interface. Her research in AI, Machine Learning, Software Development, and Cybersecurity within finance and Healthcare has been published in major journals and conferences, including International Conference on Innovative Research and Development, European Journal of Advances in Engineering and Technology, and International Journal of Scientific Research in Engineering and Management. Her recent book, Unlocking Efficiency: Using AI to Optimize Software Development, showcases her expertise. She also serves on the Editorial Boards of the International Journal of Science and Research and the International Journal of Computer Science and Information Technology Research.