Akamas will deliver two sessions at Performance Summit London 2021 on September, 29th-30th devoted to illustrate how ML-based optimization can be effective for tuning critical applications running on a diversity of complex IT stacks.
In the EMEA track, Stefano Doni (CTO) will present his session on: “Using ML to automatically optimize Kubernetes for cost efficiency and reliability” and be part of the final panel sessions.
In this session, Stefano will cover the key Kubernetes resource management concepts and then 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.
Stefano is obsessed with performance optimization and leads the Akamas vision for Autonomous Performance Optimization powered by Al. With more than 15 years of experience in the performance industry, he has worked on projects for major national and international enterprises.
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