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Paul Cormier On 6 Ways Partners Can Help Red Hat Dominate The Cloud

Ahead of the Red Hat Virtual Summit, CEO Paul Cormier talks about educating the midmarket on using multiple clouds and why Red Hat needs partners to reach new customers.

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With Red Hat’s virtual summit this week, what are some of the biggest takeaways for Red Hat channel partners?

Hybrid is here, and it‘s here to stay for a long time. The whole hybrid architecture, the methodology around deploying hybrid, that is the predominant architecture and where it’s going right now. Every CIO now has to effectively become a cloud operator. Today, customers are using anywhere from five to eight clouds. Over time, that’s going to grow to potentially even 10. That’s what our products are all about to give you that common platform that runs across all those footprints. It doesn’t mean that everything is destined to go to AWS.

We‘re donating $552 million of software subscriptions to Boston University to help them drive key open-source projects that run on mass open cloud, which is a cloud that’s used by many of the universities for research that will all be run on Red Hat. We’re going to have research from the universities as well as engineers from Red Hat, start to develop tools, processes, including AI, so that we can start to get all the things needed to run these large scale clouds for every business. For partners, I think this opens up a ton of opportunity, because now in the hybrid world, it’s all about stitching all these things together with the right products, rules, processes and people to help our customers be able to run these multiple clouds.

We’ll see a lot on hybrid cloud security at the summit. We did the acquisition of StackRox to bring security at the Kubernetes level across all the footprints of the cloud.

Scalability — we’ll talk about two critical partnerships that became generally available in Q1, OpenShift on AWS and Windows container support on Microsoft Azure Cloud.

Cloud on the edge. The edge now becomes a critical part of the hybrid architecture because we have to get compute closer to where the data is.

 
 
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