In this episode, Scott Moore interviews Stephane Landelle, CTO of Gatling. They talk about the new Gatling Studio and the problems it solves for both developers and performance engineers.

Find out more at https://gatling.io

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How can AI drive performance engineering and testing? This episode explores five significant shifts in the landscape, providing insights into the impact of artificial intelligence on software testing. Discover how automation testing and performance monitoring tools are evolving, making the untestable, testable, with machine learning approaches.

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Host Scott Moore dives into the world of AI in performance testing, exploring how tools like Tricentis NeoLoad, BlazeMeter, and OpenText are leveraging predictive analytics, generative AI, and agentic AI to transform the field. But is the hype real? Moore offers a balanced perspective, urging us to embrace AI’s potential while staying grounded in expertise and validation.

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If you are interested in sponsoring my content, contact me directly via email or LinkedIn for more information. email = heyscott @ smcjournal.com (remove spaces around the @)

☕ Want to support the show? Buy Me A Coffee! https://bit.ly/3NadcPK ☕ OR BUY MY COFFEE ► https://bit.ly/503blend 💵 Buy something from my Amazon Store ► https://bit.ly/smcllcamzn

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📫 Newsletter (Subscribe): https://bit.ly/ytmailinglist 🔗 LinkedIn Profile: https://bit.ly/30Eshp7 🔗 LinkedIn Company: https://bit.ly/3kICS9g 𝕏 Twitter/X: https://bit.ly/3HmWF8d 📸 Instagram: https://bit.ly/smcinsta 🎥 TikTok: https://bit.ly/smctiktok

🔗 Other Links and Channels

✨Scott Moore Consulting: ► https://scottmoore.consulting ⏲ Performance Tour: ► https://theperformancetour.com 🎤SMC Journal Podcast: ► https://smcjournal.com 🏎️DevOps Driving: ► https://devopsdriving.com 🚀DevPerfOps Foundation: ► https://devperfops.org

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