Kubernetes using AI to optimize performance

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Kubernetes using AI to optimize performance

In this interview with Joe Colantonio, host of the TestGuild podcast, Stefano Doni (CTO at Akamas) describes why managing Kubernetes provides many challenges from a performance engineering and SRE perspective.

By illustrating Kubernetes key resource management concepts, he explains why tuning resource requests and limits for Kubernetes containers/pods to ensure the expected availability and performance at the lowest possible cost requires AI-based optimization techniques. Stefano explains how tuning of application runtime (e.g. JVM) can also be taken into account by Akamas autonomous optimization.

Akamas named a Leader in the GigaOm Radar for Cloud Resource Optimization v5, 2026
Akamas named an Outperformer in the GigaOm Radar for Cloud Resource Optimization v5, 2026

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