Microsoft announced this morning some important updates for Azure Arc, the company’s new management tool for hybrid cloud application infrastructures. First of all, the Azure Arc enabled Kubernetes, which has been in preview since last year, has finally become generally available.
“We are excited to see Microsoft bringing Azure Arc to manage cloud native applications on any infrastructure. With Azure Arc, we can easily deploy our applications across the cloud and on-premises to meet regulatory and compliance requirements while ensuring consistent management and governance, delivering a huge benefit to our business,” Martin Sciarrillo, Multi-Cloud Expansion Lead, EY Technology said today.
The service allows customers to easily manage and control their Kubernetes clusters from Azure across data centers, Azure Stack Hub, and multi-cloud environments. It offers some essential Azure features to customers, including Azure Policy, Azure Monitor, and Azure Resource Graph. Azure Arc enabled Kubernetes is currently supported in the East US and West Europe Azure regions.
Next up, the software gaint has announced that Azure Arc-enabled machine learning is now available in public preview. The latest addition will drive innovation in machine learning by enabling data scientists to develop new machine learning models, deploy and manage them without learning Kubernetes.
It should help to meet security and compliance requirements, as well as reduce network latency and data movement simultaneously. To get started, customers can sign up here to opt into the public preview today and check out this page for more details.
Lastly, Microsoft has built a new hybrid datacenter with Azure Stack HCI and Azure Arc for large enterprises or highly regulated industries. It has also partnered with some popular Kubernetes platforms in order to test and verify their implementations with its Azure Arc service. The list includes Canonical’s Charmed Kubernetes, RedHat OpenShift, Rancher Kubernetes Engine (RKE), and more.