IT decision makers

Serverless provides a great model for accelerating app development, but developers want to do it using the programming languages and development tools of their choice.

The Intelligent Edge demands a high bar for security to thrive. Microsoft allies with partners to meet this bar for Azure IoT Edge.

Last week at Ignite, our customers and partners like UPS, HSBC, Ernest & Young, and more shared incredible stories of how they are transforming their IT and businesses with Azure – revamping dev/test processes, modernizing applications, running mission critical workloads such as SAP, and taking

By using the new firewall feature, customers can lock down their Azure Analysis Services (Azure AS) servers to accept network traffic only from desired sources.

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.

Today we are pleased to announce the general availability of a new Azure Security and Compliance Blueprint for PCI DSS-compliant Payment Processing environments, the only auditor reviewed, 100% automated solution for Payment Card Industry Data Security Standard – PCI DSS 3.2 technical controls.

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.

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.