How Kubernetes Resource Classes Promise to Change the Landscape for New Workloads

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The Colin Powell rule states that you should make a decision when you have 40 percent to 70 percent of the information necessary to make the decision. With Linux container technology like Kubernetes evolving so quickly, it’s difficult for companies to feel like they have 40 percent of the information they need, let alone 70 percent.

Customers often approach me and others at Red Hat to help them get beyond the 40 percent mark to make a decision about Red Hat OpenShift, which is based on Kubernetes.

For many of these customers, public cloud has become commonplace for workloads. However, translating their on-premise architecture into a proper design/architecture for each cloud is challenging (to say the least) in terms of both time and cost. An architecture that works the same, everywhere, is the promise of Kubernetes and OpenShift, but it’s also one of the heaviest burdens for engineers.

This contributed article is part of a series in advance of Kubecon/CloudNativeCon, taking place in Austin, Dec. 6 – 8.

Read more at The New Stack