Compute

Hyperledger Fabric on Azure Kubernetes Service solution template

We are taking a look at the preview of a maintenance control feature for platform updates on Azure Dedicated Host and Isolated virtual machines. Using this feature customers can take control of host updates for a period of 35-days in a rolling window.

Earlier this year, we announced the preview of Azure proximity placement groups to enable customers to achieve co-location of Azure Infrastructure as a Service (IaaS) resources with low network latency.

We’re announcing the preview of Azure Spot Virtual Machines. Azure Spot Virtual Machines provide access to unused Azure compute capacity at deep discounts.

Last month, we started sharing the DevOps journey at Microsoft through the stories of several teams at Microsoft and how they approach DevOps adoption.

Over a million on-premises SQL Server databases have moved to Azure, representing a massive shift in where customers are collecting, storing, and analyzing their data.

Today we are excited to offer a new solution to bind Azure Kubernetes Service (AKS) and Application Gateway.

As SQL Server 2019 continues to push the boundaries of availability, performance, and data intelligence, a centrally managed, enterprise-scale backup solution is imperative to ensure the protection of all that data.

Confidentiality of your data and your code is critical in computing. In the ephemeral world of container orchestration, we need even more attention to protecting data.

HBv2 Virtual Machines for HPC, Azure’s most powerful yet, now in preview Azure HB v2-series Virtual Machines (VM) for high-performance computing (HPC) are now in preview in the South Central US region.

Over the last couple of years, deep learning has become widely adopted across the Bing search stack and powers a vast number of intelligent features.

It’s exciting to see the PyTorch Community continue to grow and regularly release updated versions of PyTorch! Recent releases improve performance, ONNX export, TorchScript, C++ frontend, JIT, and distributed training. Several new experimental features, such as quantization, have also been introduced.