How cool would it be to optimize live systems running in production environments?

In this episode, Stefano Doni, CTO at Akamas, shares some ways to meet the challenge of optimizing Kubernetes in production. 

Discover how AI technology can help you with automated context detections, safe recommendations against customer-defined SLOs, and other capabilities to achieve cost efficiency and application performance goals without compromising SLOs.

Stefano walks us through key learnings as the team at Akamas has helped organizations optimize the performance, resiliency and cost of their Kubernetes workloads. You will learn about proper memory settings, CPU throttling and how to start saving costs as you move more workloads to Kubernetes.

To learn more about Kubernetes optimization with Akamas, visit the Akamas Kubernetes Optimization solution page and the Akamas resource center.

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