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Yury Nino

Yury Nino

Digital Lab


Technical Program Manager, Site Reliability Engineer and Chaos Engineering Advocate. Loves building software applications, reading blogs, writing articles, solving hard performance and resilience issues and teaching software concepts.

Machine Learning to Predict Chaos

Scientists have been using machine learning for traffic alerts, social media, product recommendations, virtual personal assistants and self driving cars. The applications have the limit of our imagination, so the future evolution of chaotic systems could get a benefit of this practice.
In this talk I am going to speak about how can we use machine learning, a computational technique behind artificial intelligence to improve the experiments that we run when we practice chaos engineering. “If you knew the storm was coming, you could just turn off the power and turn it back on later”.