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Customers get unmatched security with Windows Server and SQL Server workloads in Azure

June 14, 2019

Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security. While understanding cloud security is initially a concern to many, after digging in, customers often tell us the security posture they can set up within Azure is easier to implement and far more comprehensive than what they can provide for in other environments.

General Manager, Microsoft Azure
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Azure.Source – Volume 87

Monday, June 17, 2019

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.

Smarter edge, smarter world: Discover the autonomous edge

Thursday, June 13, 2019

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.

Senior Director, Azure IoT Marketing

Azure Stack IaaS – part ten

Monday, June 17, 2019

One of the best things about running your VMs in Azure or Azure Stack is you can begin to modernize around your virtual machines (VMs) by taking advantage of the services provided by the cloud.

Principal PM Manager, Azure Stack

Customers get unmatched security with Windows Server and SQL Server workloads in Azure

Thursday, June 13, 2019

Customers such as Allscripts, Chevron, J.B. Hunt, and thousands of others are migrating their important workloads to Azure where they find unmatched security. While understanding cloud security is initially a concern to many, after digging in, customers often tell us the security posture they can set up within Azure is easier to implement and far more comprehensive than what they can provide for in other environments.

General Manager, Microsoft Azure

Make your data science workflow efficient and reproducible with MLflow

Thursday, June 13, 2019

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. They often try different models and parameters, for example random forests of varying depth, linear models with different regularization rates, or deep learning models with different architectures trained using different learning rates.

Senior Program Manager

Learn by example: How IoT solutions transform industries

Thursday, June 13, 2019

Businesses often face similar challenges, from improving productivity and creating a positive customer experience to reducing costs and increasing revenue. By turning to Internet of Things (IoT) solutions, organizations across industries can use data to drive insights and actions, ultimately transforming their business model, increasing their bottom line, and improving customer experiences.

Director, Channel Marketing

Three ways to get notified about Azure service issues

Thursday, June 13, 2019

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. There are many ways to stay informed, but we’ve identified three effective approaches that have helped our customers respond quickly to service issues and mitigate downtime.

Program Manager, Azure Service Health

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