Stefano Doni (CTO at Akamas) will speak at the CMG Impact 2021 online conference on January 27th.
Over the years, a certain kind of conventional wisdom about Java performance tuning has taken hold of the development and performance engineering community:
So what is a performance engineer to do? AI-based technologies can help. An AI can take in all the relevant stack parameters, and metrics from monitoring tools, and generate target configurations that optimize for any given goal. That goal can be set to directly solve for high-level application performance target e.g. maximize payments/sec while keeping cost SLAs under a threshold. The emphasis shifts then from low-level JVM tuning to end-to-end, continuous high-level optimization.
During our session, we will show how Autonomous Performance Optimization managed to achieve impressive results, such as reducing CPU usage by 40%, while also improving performance in Renaissance, a Java-based benchmark developed by Oracle Labs.
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.
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