Azure Arc Manages Kubernetes Clusters Anywhere, Brings ML on Premises The key capability opens up options for applying an ML algorithm to a data store regardless of where each is located.
At the virtual version of its Ignite developers’ conference Tuesday, Microsoft released into general availability a key function of Azure Arc that gives the service something resembling a genuine purpose: the ability to manage ordinary Kubernetes clusters wherever they may reside.
“More than ever customers are building modern applications using containers with Kubernetes,” remarked Jeremy Winter, Microsoft’s director of Azure Management. “I’m happy to announce that Azure Arc-enabled Kubernetes is now generally available and ready for production downloads.” This comes in addition to last fall’s preview release (a kind of “use-at-your-own-risk” warning for early adopters) of so-called “Azure Arc-enabled data services” for deployment in Kubernetes workload containers.
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Just more than a year ago, Microsoft Azure expanded its hybrid offerings with the public preview of Azure Arc, a set of technologies that brings Azure’s cloud management capabilities and services to virtually any environment.
Today, the cloud provider has more than 1,000 customers using Azure Arc, which extends an organization’s control plane to manage servers and Kubernetes clusters across on premises, multi-cloud and multi-edge, with governance from Azure.
“What we want to do is really enable customers to use Azure wherever they want it, even on their own infrastructure,” said Arpan Shah, the general manager who leads Microsoft’s product marketing for Azure infrastructure. “We’re seeing some really good adoption, and they’re using it for different use cases. And now that it’s generally available, we expect a lot more momentum, a lot of customers to begin using it in their production environments.”