Optimizing Resource Management Using Machine Learning to Scale Kubernetes
Kubernetes is great at large-scale systems, but its complexity and transparency has caused higher cloud costs, delays in deployment and developer frustration. As Kubernetes has taken off and workloads continue to move to a containerized environment, optimizing resources is becoming increasingly important. In fact, the recent 2021 Cloud Native Survey revealed that Kubernetes has already crossed the chasm to mainstream with 96 percent of organizations using or evaluating the technology. In this episode of The New Stack Makers podcast, Matt Provo, founder and CEO of StormForge, discusses new ways to think about Kubernetes, including resource optimization which can be achieved by empowering developers through automation. He also shared the company’s latest new machine learning-powered multi-dimensional optimization solution, Optimize Live. Alex Williams, founder and publisher of The New Stack, hosted this podcast.
The New Stack Podcast · The New Stack
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Show Notes
Kubernetes is great at large-scale systems, but its complexity and transparency has caused higher cloud costs, delays in deployment and developer frustration. As Kubernetes has taken off and workloads continue to move to a containerized environment, optimizing resources is becoming increasingly important. In fact, the recent 2021 Cloud Native Survey revealed that Kubernetes has already crossed the chasm to mainstream with 96 percent of organizations using or evaluating the technology.
In this episode of The New Stack Makers podcast, Matt Provo, founder and CEO of StormForge, discusses new ways to think about Kubernetes, including resource optimization which can be achieved by empowering developers through automation. He also shared the company’s latest new machine learning-powered multi-dimensional optimization solution, Optimize Live.
Alex Williams, founder and publisher of The New Stack, hosted this podcast.