Management and governance

Today’s healthcare organizations are expected to be agile, reduce costs, and direct capital toward revenue generating activities that improve patient outcomes.

Legacy systems can be a nightmare for any business to maintain. In the insurance industry, carriers struggle not only to maintain these systems but to modify and extend them to support new business initiatives.

I’m excited to announce our second Azure Blueprint for an important compliance standard with the release of the PCI-DSS v3.2.1 blueprint.

As the U.S. healthcare system continues to transition away from paper to more a digitized ecosystem, the ability to link all of an individual’s medical data together correctly becomes increasingly challenging.

Today, many organizations are leveraging digital transformation to deliver their applications and services in the cloud. At the recent Build 2019 conference, Microsoft Azure Quickstart Center was generally available and received positive feedback from customers.

In October 2018 we announced the public preview of Azure Monitor for VMs. At that time, we included support for monitoring your virtual machine scale sets from the at scale view under Azure Monitor.

Microsoft FHIR Server for Azure extends to SQL; Azure Shared Image Gallery now generally available; Accelerating smart building solutions with cloud, AI, and IoT; and much more.

Learn how to monitor performance and resource utilization on Azure HDInsight by keeping tabs on metrics, such as CPU, memory, and network usage, to better understand how your cluster is handling your workloads and whether you have enough resources to complete the task at hand.

Preparing for the unexpected is part of every IT professional’s and developer’s job. Although rare, service issues like outages and planned maintenance do occur.

We recently released Azure Application Gateway V2 or Autoscaling version (SKU) and Web Application Firewall (WAF). These SKUs are Standard_v2 and WAF_v2 respectively and are fully supported with a 99.95% SLA.

The automated machine learning capability in Azure Machine Learning service allows data scientists, analysts, and developers to build machine learning models with high scalability, efficiency, and productivity all while sustaining model quality.

When we released the capability of automatic update of agents used in disaster recovery of Azure VMs, the most frequent feedback we received was related to access control.