IT implementors

Today, we are excited to announce the general availability of larger and more powerful Azure Managed Disk sizes of up to 32 TiB on Premium SSD, Standard SSD, and Standard HDD disk offerings.

As enterprises accelerate cloud adoption and increasingly deploy performance sensitive cloud-native applications, we are excited to announce general availability of Azure Premium Blob Storage.

We recently shared the public preview of the Windows Virtual Desktop service on Azure.

Since announcing the release of our Jobs feature during the IoT Central General Availability launch, we are excited to share how we are working to improve your device management workflow through…

Learn the latest integration in Azure Data Factory with Azure Data Lake Storage Gen2 and Azure Data Explorer which enables you to meet the advanced needs of your analytics workloads by leveraging these services.

With ever-increasing data volume and latency requirements, GPUs have become an indispensable tool for doing machine learning (ML) at scale.

We’re excited to announce that Forrester has named Microsoft as a Leader in The Forrester Wave™: Big Data NoSQL based on their evaluation of Azure Cosmos DB.

We are excited to join the Game Developers Conference (GDC) this week to learn what’s new and share our work in Azure focused on enabling modern, global games via cloud and cloud-native technologies.

As data scientists, we are used to developing and training machine learning models in our favorite Python notebook or an integrated development environment (IDE), like Visual Studio Code (VSCode).

A few months ago, I shared best practices for alerting on metrics with Azure Database for PostgreSQL.

Artificial Intelligence (AI) algorithms are becoming more intelligent and sophisticated every day, allowing IoT devices like cameras to bridge the physical and digital worlds.

Last week we launched Azure Sentinel, a cloud native SIEM tool. Machine learning (ML) in Azure Sentinel is built-in right from the beginning. We have thoughtfully designed the system with ML innovations aimed to make security analysts, security data scientists, and engineers productive.