DevOps

Virtual machine scale set insights from Azure Monitor

mercoledì 19 giugno 2019

In October 2018 we announced the public preview of Azure Monitor for VMs. At that time, we included support for monitoring your virtual machine scale sets from the at scale view under Azure Monitor. Today we are announcing the public preview of monitoring your Windows and Linux virtual machine scale sets from within the scale set resource blade.

Senior Program Manager, Azure Monitor

Announcing service monitor alliances for Azure Deployment Manager

giovedì 30 maggio 2019

Azure Deployment Manager is a new set of features for Azure Resource Manager that greatly expands your deployment capabilities. If you have a complex service that needs to be deployed to several regions, if you’d like greater control over when your resources are deployed in relation to one another, or if you’d like to limit your customer’s exposure to bad updates by catching them while in progress, then Deployment Manager is for you.

Principal Program Manager, Cloud and AI

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

giovedì 23 maggio 2019

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

Take your machine learning models to production with new MLOps capabilities

giovedì 9 maggio 2019

At Microsoft Build 2019 we announced MLOps capabilities in Azure Machine Learning service. MLOps, also known as DevOps for machine learning, is the practice of collaboration and communication between data scientists and DevOps professionals to help manage the production of the machine learning (ML) lifecycle.

Senior Program Manager, Azure MLOps

New Azure Machine Learning updates simplify and accelerate the ML lifecycle

venerdì 3 maggio 2019

With the exponential rise of data, we are undergoing a technology transformation, as organizations realize the need for insights driven decisions. Artificial intelligence (AI) and machine learning (ML) technologies can help harness this data to drive real business outcomes across industries. Azure AI and Azure Machine Learning service are leading customers to the world of ubiquitous insights and enabling intelligent applications such as product recommendations in retail, load forecasting in energy production, image processing in healthcare to predictive maintenance in manufacturing and many more.

Group Program Manager, Microsoft Azure