Modern applications sit atop of many layers, such as Java Virtual Machines, container, database, cloud, and more, each providing hundreds of settings all interacting in complex and counterintuitive ways. Manual and trial-and-error performance tuning cannot cope with this complexity with today’s fast release cycles and business speed. As a result, incorrect configurations may cause poor application performance, low reliability, and resource (cost) inefficiency.
This webinar explores how an AI-driven Performance Optimization solution can allow performance engineers to automate testing, automatically identify optimal full-stack configurations to enable their companies to deliver unprecedented application performance and cost-saving, while also improving operational resiliency.
In this webinar we will show you:
This session will combine the modern approach to performance optimization of Cyrus Manouchehrian, Micro Focus LoadRunner Product Management and Stefano Doni, Akamas Founder and CTO.
Stefano is obsessed with performance optimization and drives Akamas vision for Autonomous Performance Optimization powered by AI. Stefano has more than 15 years of experience in Performance Engineering and led Moviri Research & Development team before co-founding Akamas. He is a regular speaker at international conferences and in 2015 he won the Computer Measurement Group Best Paper Award.
Cyrus is a Micro Focus LoadRunner Product Manager. A creative and driven Product Leader who strives to create and oversee the design and development of my products to meet customer demands. By utilizing a proven background in pre- and post-sales, I have a strong focus on customer service and meeting customer needs using analytical and data-driven decisions.