Microsoft Azure expands its hybrid and multi-cloud reach

·3 min read

Microsoft Azure, just like its competitors, launched a number of tools in recent years that allow enterprises to use a single platform to manage their virtual machines and containers across clouds and in their own data centers. For Microsoft, the main tool for managing these is Azure Arc. Given the event's focus on IT professionals, it's no surprise that the company is using its Ignite conference today to highlight a number of new features in Arc and its overall hybrid/multi-cloud lineup.

"Customers just have thousands and thousands of apps, databases, servers they run in different locations," Roanne Sones, Microsoft's corporate VP for Azure Edge and Platform, told me. "Regulation is constantly evolving and growing. Security attacks are becoming more and more sophisticated -- and their ability to actually manage that in any sort of a consistent way, given just how sprawled across their environment it is, it's just really hard. So they're pretty overwhelmed. At the same time, they look at the cloud and they want to hitch themselves to that innovation wagon and it's hard for them because there are just going to be workloads that never move to the cloud. So how do they take some of the things that they've sampled in the cloud, but be able to actually run it wherever they need to run it, however they need to run it?"

The first step, Sones argues, is to find a consistent way to manage all of that. Given the complexity of modern infrastructures, that's a bit of a journey, but at Ignite, Microsoft is showing off a few new integrations that will make this easier. These include integrations with Azure Stack HCI, VMware vSphere and Azure Policy Guest Configuration. Azure Stack HCI (where HCI stands for "hyperconverged infrastructure"), for example, is now Arc-enabled by default, while vSphere users now get self-service VM control from Azure to manage VMs based on vSphere templates. In addition, Azure Arc now also supports machine learning inferencing after an earlier update already allowed users to build and train models in Arc-enabled environments.

"Now you have full consistency between cloud and edge," Sones said. "You don't have to move your data if you don't want to move your data. Previously, you had to move your data on-prem. In the cloud, you can do all your Arc-enabled capabilities there -- and then bring it back. Now we've got that new full lifecycle."

Currently, most of Microsoft's customers are using these AI capabilities in the context of proof of concepts, but not necessarily in production. The enterprise moves slowly, after all, but Sones says she's already seeing some customers who are starting to put their models into production in multi-cloud environments (largely because these Azure customers, with Nokia being a marquee user, service highly regulated industries).

Another semi-related new feature, though with a focus of on-premises use cases, is the launch of Azure Virtual Desktops -- the ability to run multi-session Windows 10 and 11 desktop instances in the cloud -- on Azure Stack HCI in a customer's on-premises data center. As Sones noted, that's a feature users in regulated industries have been asking for, but these local deployments also matter for use cases where latency could be an issue.

 

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