Azure.Source – Volume 87
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.
Discover how Microsoft Azure empowers IT implementers with the tools and insights to configure, maintain, and enhance system performance, ensuring seamless integration and management of cloud solutions. Â
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.
Last month, Microsoft released Azure Blockchain Service making it easy for anyone to quickly setup and manage a blockchain network and providing a foundation for developers to build a new class of multi-party blockchain applications in the cloud.
With more computing environments moving to the cloud, the need for stronger cloud security has never been greater. But what constitutes effective cloud security, and what best practices should you be following?
Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security.
Throughout our Internet of Things (IoT) journey we’ve seen solutions evolve from device-centric models, to spatially-aware solutions that provide real-world context.
We recently spent time with Mesh Systems, a Microsoft Gold Cloud platform partner based in Carmel, Indiana, to understand what a day in the life of an Azure IoT partner looks like.
Today’s business data ecosystem is a network of customers and partners communicating continuously with each other. The traditional way to do this is by establishing a business-to-business (B2B) relationship.
Whether it’s in self-driving vehicles, mixed reality, or smart buildings, the autonomous edge has incredible potential to transform our lives for the better. In this post, we’ll review four challenges to a smarter edge, and how to get started with Azure IoT Edge.
Businesses often face similar challenges, from improving productivity and creating a positive customer experience to reducing costs and increasing revenue.
When data scientists work on building a machine learning model, their experimentation often produces lots of metadata: metrics of models you tested, actual model files, as well as artifacts such as plots or log files.
At Microsoft Build 2019, we announced the general availability of Azure Shared Image Gallery, making it easier to manage, share, and distribute custom virtual machine (VM) images in Azure.
Customers have been using Azure Stack in a number of different ways. We continue to see Azure Stack used in connected and disconnected scenarios as a platform for building applications to deploy both on-premises as well as in Azure.