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ABSTRACT
In today's continuously changing e-commerce world, the ability to maintain optimal website performance during peak traffic periods is essential to ensuring customer satisfaction, sustaining revenue streams, and fostering brand loyalty. The thorough analysis of e-commerce website performance during peak times, when traffic exponentially increases and presents both opportunities and challenges, forms the basis of the research. Carefully chosen and configured automated performance testing tools are essential in simulating real-world user interactions and evaluating the websites' resilience under heavy loads. These peak times are carefully reenacted in test settings by imitating user behavior and traffic demands. Automated tools run these scenarios while gathering performance information that show the infrastructure and code of the websites' strengths and weaknesses. The findings of this project culminate in a set of actionable recommendations and optimization strategies. These findings helps organizations to enhance the responsiveness and reliability of their e-commerce websites during peak periods.
