The Kubernetes performance tuning dilemma: How to solve it with AI
There is a “dark side” to Kubernetes that makes it difficult to ensure the desired performance and resilience of cloud-native applications, while also keeping their costs under control. Indeed, the combined effect of Kubernetes resource management mechanisms and application runtime heuristics may cause serious performance and resilience risks.
There are also significant potential improvements, both in terms of performance and efficiency, that can be achieved by properly tuning Kubernetes and application runtime (e.g. JVM, Golang) configuration settings.
In this webinar, we illustrate how the Akamas AI-powered optimizations platform addresses these challenges by making it possible to set the optimization goals (e.g. cost reduction) and constraints (e.g. performance SLOs) and get recommendations on how to adjust configuration settings dynamically under varying workloads.
Akamas
Co-Founder & CTO
Stefano Doni, Co-Founder & CTO, Akamas
Stefano is obsessed with performance optimization and, as CTO at Akamas, he drives its vision of autonomous performance optimization. Stefano has more than 15 years of experience in Performance Engineering. Prior to co-founding Akamas, he led the R&D business unit at Akamas’s parent Moviri, working on critical projects for major internationa…
Stefano Doni, Co-Founder & CTO, Akamas
Stefano is obsessed with performance optimization and, as CTO at Akamas, he drives its vision of autonomous performance optimization. Stefano has more than 15 years of experience in Performance Engineering. Prior to co-founding Akamas, he led the R&D business unit at Akamas’s parent Moviri, working on critical projects for major international corporations. Stefano speaks regularly at international conferences, and in 2015 won the Computer Measurement Group Best Paper Award for his contribution to Java applications’ capacity planning and performance optimization.
Sabre
Sr. Director, Enterprise Architecture
Accenture
Associate Director
AWS and Google Cloud Certified Solutions Architect - Professional and Azure certified. Sr. Director of Enterprise Architecture @ Sabre helping lead the company and the travel industry into the future. Cloud instructor helping tech newbies transition careers.
Yujun is an Associate Director at Accenture. He started his Google Cloud journey in 2017 and had been on many challenging projects including leading roles on some of them. His expertise spans Cloud Infrastructure and Data analytics. Currently, Yujun works as the cloud architect on a Data Analytics Platform and helps the team remove roadblocks in networking and security.
He is also known as the certification king on LinkedIn. He holds all 11 Google Cloud certifications and all 14 AWS certifications. His dedication to learning has created a sensation.
Accenture
GDG Lead & WTM Ambassador
Team Member
GDG Founding Organizer
Team Member
Team Member
