DevOps

Take your machine learning models to production with new MLOps capabilities

czwartek, 9 maja 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

piątek, 3 maja 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

Microsoft container registry unaffected by the recent Docker Hub data exposure

niedziela, 28 kwietnia 2019

Docker recently announced Docker Hub had a brief security exposure that enabled unauthorized access to a Docker Hub database, exposing 190k Hub accounts and their associated GitHub tokens for automated builds. While initial information led people to believe the hashes of the accounts could lead to image:tags being updated with vulnerabilities, including official and microsoft/ org images, this was not the case. Microsoft has confirmed that the official Microsoft images hosted in Docker Hub have not been compromised.

Program Manager, Azure Container Registry

Run your code and leave build to us

poniedziałek, 11 marca 2019

So you followed that excellent walkthrough on the web and built a great prototype web app. You run npm start locally and browse to http://localhost and it all looks great.

Sr. Program Manager, Azure Developer Experience