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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.
IT Showcase Blog
Engineering teams in Microsoft Core Services Engineering and Operations have worked to ensure the entire company was ready to work from home. (Photo by Aleenah Ansari | Showcase)
When it became clear that employees would need to shift to working from home because of COVID-19, Microsoft pivoted quickly, taking steps to make sure the transition would be smooth for its 166,000 employees.
The team leading the charge was Microsoft Core Services Engineering and Operations (CSEO), the engineering organization at Microsoft that builds and manages the products, processes, and services that the company runs on.
The work that CSEO engineering teams did to make sure the company was ready for working from home included optimizing its network and VPN, ensuring its Zero Trust security system was ready for prime time, and making sure Microsoft Teams and other productivity tools were ready to help employees work from home with ease.