Kubernetes using AI to optimize Performance with Stefano Doni

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About this Episode:

As you’ve probably heard, Kubernetes has become the new application server of modern, cloud-native applications. But how do you avoid performance issues and increase efficiency when adopting Kubernetes? In this episode Stefano Doni, Chief Technology Officer at Akamas, will share his approach to using AI to optimize the experience. Discover key Kubernetes resource management concepts, and how AI can help achieve the perfect balance between low costs, optimal application performance, and reliability. Listen up!

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About Stefano Doni

Stefano Doni

Stefano is obsessed with performance optimization and leads the Akamas vision for Autonomous Performance Optimization powered by AI. With more than 15 years of experience in the performance industry, he has worked on projects for major national and international enterprises. He has presented several talks at various conferences, including SREcon, CMG, Performance Summit, PAC. In 2015, he won the CMG Best Paper award for his contributions to capacity planning and performance optimization of Java applications. In 2017, he shipped one of the first Kubernetes capacity optimization solutions on the market.

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