Abstracts

The integration of AI into performance testing is set to revolutionize how we ensure software applications' reliability and efficiency. As AI technology progresses, its incorporation into performance testing tools like k6 presents unparalleled automation, precision, and scalability opportunities. This presentation examines the transformative effects of AI on performance testing, focusing on the capabilities of the k6 tool. We will explore how AI-driven performance testing with k6 can streamline complex processes, enhance accuracy, and significantly reduce the time and resources needed for comprehensive testing. Using machine learning algorithms, k6 can identify performance bottlenecks, optimize test scenarios, and adapt to real-time changing environments. This dynamic approach facilitates continuous improvement and self-correction, ensuring that applications meet high-quality standards and user expectations.