Advanced Data Analytics for Real-Time Performance Engineering

Vasudevan Senathi Ramdoss *

Financial Investment Sector, McKinney, Texas, USA.

*Author to whom correspondence should be addressed.


Abstract

Real-time data analytics plays a crucial role in performance engineering by enabling continuous monitoring and analysis of system performance metrics as they occur. This allows engineers to identify bottlenecks, pinpoint performance issues, and make proactive adjustments in real-time, ultimately leading to optimized system performance and improved user experience. This paper explores the key aspects, applications, and technological considerations of real-time data analytics in performance engineering, along with its benefits and industry use cases.

Keywords: Real-time data analytics, performance engineering, real-time monitoring, predictive maintenance, real-time decision-making, user experience optimization, fraud detection, real-time visualization, streaming data platforms, operational efficiency


How to Cite

Ramdoss, Vasudevan Senathi. 2025. “Advanced Data Analytics for Real-Time Performance Engineering”. Journal of Engineering Research and Reports 27 (3):82-89. https://doi.org/10.9734/jerr/2025/v27i31419.

Downloads

Download data is not yet available.