For years, many healthcare organizations tended to be skeptical and resistant (if not outright hostile) to the idea of storing their data, particularly protected health information, in the cloud. IT and security decision-makers had deep reservations about stashing such sensitive data anywhere but their own on-premises servers, safe under their own watchful eyes. But not too long ago that changed, and seemed to change quickly. To the surprise of many, over the past few years, it appears that many healthcare providers have been getting markedly more comfortable putting their trust in the cloud. "If you had asked me in 2011, I would have predicted that healthcare would still be one of the slower moving industries," said Jason McKay, chief technology officer of Logicworks, a managed hosting company that helps organizations in many sectors build and manage cloud infrastructure.
Microsoft Azure is a broad, ever-expanding set of cloud-based computing services that are available to businesses, developers, government agencies, and anyone who wants to build an app or run an enterprise on the internet without having to manage hardware. It has been the fastest-growing business segment for Microsoft in recent years and will probably overtake Windows in terms of revenue within two or three years. Azure is a strong second among cloud providers, well behind Amazon Web Services but well ahead of any other competition. Microsoft announced Azure in 2008. It made its public debut two years later, in February 2010, as Windows Azure and was rebranded as Microsoft Azure in 2014.
We are happy to announce that Metric Alerts with Dynamic Thresholds is now available in public preview. Dynamic Thresholds are a significant enhancement to Azure Monitor Metric Alerts. With Dynamic Thresholds you no longer need to manually identify and set thresholds for alerts. The alert rule leverages advanced machine learning (ML) capabilities to learn metrics' historical behavior, while identifying patterns and anomalies that indicate possible service issues. Metric Alerts with Dynamic Thresholds are supported through a simple Azure portal experience, as well as provides support for Azure workloads operations at scale by allowing users to configure alert rules through an Azure Resource Manager (ARM) API in a fully automated manner.
Microsoft CEO Satya Nadella talked a lot about machine learning during his keynote at Microsoft Build 2016, but neither he nor the executives on stage covered how machine learning can drive security applications. But don't let its absence onstage fool you, as several of Microsoft's latest security moves rely on the company's machine learning investments. Take the Intelligent Security Graph, which Nadella announced last fall. Based on the Microsoft Azure Machine Learning technology, it collects "trillions of signals from billions of sources" to provide IT teams with real-time insights they can use to detect and respond to threats. At Build, Terry Myerson, executive vice president of the Windows and Devices Group in Microsoft, said Windows Defender Advanced Threat Protection relies on the intelligent security graph, behavioral sensors, cloud-based security analytics, and threat intelligence to protect Windows devices.