Overview
Learn how artificial intelligence is revolutionizing cloud performance optimization in this technical talk delivered by Stefano Doni, Co-Founder & CTO of Akamas. Explore the challenges of maintaining high-performance, always-available cloud applications in modern digital businesses while minimizing operational costs. Discover how Akamas combines performance engineering expertise with cutting-edge AI to automate optimization processes for complex microservice architectures running on Kubernetes across distributed cloud environments. Gain insights into practical applications through real-life examples covering Artemis configuration, database tuning, and cloud infrastructure optimization. Delve into topics including mechanical sympathy, JVM optimization, CPU usage efficiency, and machine learning techniques used in performance engineering. The presentation, part of the Web Applications course at the University of Padua, offers valuable knowledge for software engineers working with modern web applications and those interested in the intersection of AI and cloud computing performance optimization.
Syllabus
Intro
Who is Mara
Timeline
Global Footprint
Welcome
Microservices
Configuration
JVM
CPU usage
Mechanical sympathy
Tuning
The process
The product
Machine learning techniques
Real life example
Artemis configuration
Database configuration
Cloud configuration
Taught by
IIIA Hub