Last month, we started sharing the DevOps journey at Microsoft through the stories of several teams at Microsoft and how they approach DevOps adoption. As the next story in this series, we want to share the transition one team made ... continue reading

With SQL Server 2017, Microsoft entered the world of multi-OS platform support for SQL Server. For many technical professionals, the ability to run SQL Server on the same open source operating system as the rest of the application stack is ... continue reading

SQL Server 2019 Big Data Clusters is a scale-out, data virtualization platform built on top of the Kubernetes container platform. This ensures a predictable, fast, and elastically scalable deployment, regardless of where it's deployed. In this blog post, we'll explain ... continue reading

Historically, data has been protected at rest through encryption in data stores, and in transit using network technologies, however as soon as that data is processed in the CPU of a computer it is decrypted and in plain text. New ... continue reading

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 ... continue reading

Keiko Harada joins Scott Hanselman to show how to use Prometheus to monitor containers in Azure Monitor. Prometheus is a popular open source metric monitoring solution and is a part of Cloud Native Compute Foundation. Customers who like the extensive ... continue reading

This post was co-authored by Mikhail Shilkov, Software Engineer, Pulumi. Pulumi is reinventing how people build modern cloud applications, with a unique platform that combines deep systems and infrastructure innovation with elegant programming models and developer tools. We live in ... continue reading

Over the past few years, we’ve seen significant changes in how an application is thought of and developed, especially with the adoption of containers and the move from traditional monolithic applications to microservices applications. This shift also affects how we ... continue reading

In the most recent releases, SQL Server went beyond relational data and enabled support for graph data, R, and Python machine learning, while making SQL Server available on Linux and containers in addition to Windows. At the same time, organizations ... continue reading

The Azure SQL (@azuresqldb) and SQL Server (@sqlserver) Engineering teams represented by Ajay Jagannathan, Alain Dormehl, Alan Yu, Amit Banerjee, Anna Hoffman, Asad Khan, Borko Novakovic, Brian Carrig, Buck Woody, Dinakar Nethi, Jakub Szymaszek, Joachim Hammer, Kevin Farlee, Mihaela Blendea, ... continue reading