Havi archívum: május 2019

Azure NetApp Files is now generally available

2019. május 28., kedd

Today, I’m excited to announce the general availability of Azure NetApp Files, the industry’s first bare-metal cloud file storage and data management service. Azure NetApp Files is an Azure first-party service for migrating and running the most demanding enterprise file-workloads in the cloud including databases, SAP, and high-performance computing applications with no code changes.

Corporate Vice President, Azure Storage, Media, and Edge

HB-series Azure Virtual Machines achieve cloud supercomputing milestone

2019. május 26., vasárnap

New HPC-targeted cloud virtual machines are first to scale to 10,000 cores. Azure Virtual Machine HB-series are the first on the public cloud to scale a MPI-based high performance computing (HPC) job to 10,000 cores. This level of scaling has long been considered the realm of only the world’s most powerful and exclusive supercomputers, but now is available to anyone using Azure.

Principal Program Manager, Azure HPC

Transforming Azure Monitor Logs for DevOps, granular access control, and improved Azure integration

2019. május 23., csütörtök

Logs are critical for many scenarios in the modern digital world. They are used in tandem with metrics for observability, monitoring, troubleshooting, usage and service level analytics, auditing, security, and much more. Any plan to build an application or IT environment should include a plan for logs.

Principal Program Manager, Azure Monitor

All US Azure regions now approved for FedRAMP High impact level

2019. május 23., csütörtök

oday, I’m excited to share our ability to support US Federal Risk and Authorization Management Program (FedRAMP) High impact level FedRAMP services with the extension of FedRAMP High Provisional Authorization to Operate (P-ATO) to all of our Azure public regions in the United States.

General Manager, Azure Global

Visual interface for Azure Machine Learning service

2019. május 22., szerda

During Microsoft Build we announced the preview of the visual interface for Azure Machine Learning service. This new drag-and-drop workflow capability in Azure Machine Learning service simplifies the process of building, testing, and deploying machine learning models for customers who prefer a visual experience to a coding experience.

Principle Program Manager Lead