Leverage machine learning techniques to find the best configurations for service cost and performance.
Mauro Pessina, Manager Performance Engineering Manager at Moviri, talked during KubeCon + CloudNativeCon Europe 2022 conference.
Over the years, the conference became a reference point for the enterprise open source community and software vendors. Being accepted as a speaker confirms Moviri’s expertise in open-source and cloud-native technologies such as Kubernetes.
Mauro’s talk “Getting the optimal service efficiency that autoscalers won’t give you” explained the complexity of Kubernetes resource management, with a focus on the main parameters that impact Kubernetes application performance, stability, and cost-efficiency.
Watch the video recording to discover more about Kubernetes resource management, autoscalers, and how to tune Kubernetes applications using machine learning techniques.
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Content
Watch the recording of the speech to learn more about:
Kubernetes resource management
Why Kubernetes resource management is complex and the six main key factors that are fundamental to understanding how it works.
AI-powered optimization
Overcome the challenges of Kubernetes tuning, using an AI-powered optimization platform, that automatically identifies the best configuration.
A real-world case study
The results achieved for a SaaS provider of financial services after leveraging Akamas, AI-powered optimization platform .
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