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.
What will you learn?
Join Stefano Doni (Akamas CTO) and Ray Ffrench (Micro Focus ADM Senior DevOps Technical Consultant) on December 14th for the Micro Focus ANZ Monster-sized Meetup series. They will discuss this modern approach to performance optimization and how to get the most out of your performance engineering solution.
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.
Ray is a Presales Solution Architect for DevOps, Agile, and Continuous Testing & Delivery across the Micro Focus Application Delivery Management (ADM) suite of software for the Australian region. His background incorporates some 25+ years in the dev, test, and Application Delivery Management products. He is well versed in industry-leading solutions to help organizations accelerate their application delivery and ensure quality at every stage of the application lifecycle.