Announcing new Azure VM images: SQL Server 2017 on Linux and Windows
We are excited to announce that SQL Server 2017 images on Linux and Windows are now available in the Azure Marketplace!
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
We are excited to announce that SQL Server 2017 images on Linux and Windows are now available in the Azure Marketplace!
Microsoft takes data integrity very seriously. While there are some traditional techniques used by DBAs in SQL Server to monitor data integrity (e.g.
We are excited to announce that Azure SQL Database VNET Service Endpoints is now in public preview in the following regions: West Central US, West US2, and East US1.
This post reviews some of the cool new features supported by the new Azure Log Analytics query language. To learn more on the query language check out the tutorials on our language site and our Log Analytics community space.
The Azure Storage team is excited to announce the preview of Firewalls and Virtual Networks for Azure Storage. With this preview, the authorization capabilities of Azure Storage are expanded to allow administrators to also control which networks have access to their data.
Today, we are glad to announce the public preview of Virtual Network (VNet) Service Endpoints for Azure Storage and Azure SQL.
Our customers told us that their database workloads like SQL Server or Oracle often require high memory, storage, and I/O bandwidth, but not a high core count.
Today we’re announcing several metrics to help you get the most out of the provisioned throughput, as well as integration of our metrics with the Azure Monitor, and a preview of diagnostics logs for data operations, integrated with OMS.
Last year we committed to making it easier for customers to run their services in the public cloud.
Every organization we work with is actively looking for ways to use the power of the cloud to turn data into insights and improve IT efficiency.
Earlier today, we disclosed a set of major updates to Azure Machine Learning designed for data scientists to build, deploy, manage, and monitor models at any scale.
Since Azure Files became generally available, we’ve consistently heard from our customers that they want to embrace the power and flexibility of the cloud without giving up the locality of their on-premises file server.