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 at several conferences and in 2015, he won the Computer Measurement Group international Best Paper award for his contributions to capacity planning and performance optimization of Java applications.
Talks I've Given
Using ML to Automatically Optimize Kubernetes for Cost Efficiency and Reliability
Featuring Stefano Doni
In this session, we cover the key Kubernetes resource management concepts and show how Machine Learning techniques can enable Developers and SREs to automatically identify the size of pod resources that both minimizes infrastructure cost and improves application performance and reliability.