jeudi 30 mai 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.
jeudi 23 mai 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.
jeudi 23 mai 2019
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.
jeudi 9 mai 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.
mardi 7 mai 2019
Azure Functions constantly innovates so that you can achieve more with serverless applications, enabling developers to overcome common serverless challenges through a productive, event-driven programming model.
lundi 6 mai 2019
Avec GitHub et Azure DevOps, Microsoft aide les développeurs à planifier, créer et livrer des applications, qu’il s’agisse de solutions pour les grandes entreprises ou de projets open source.
vendredi 3 mai 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.
dimanche 28 avril 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.
lundi 15 avril 2019
Grafana is one of the popular and leading open source tools for visualizing time series metrics.
mardi 9 avril 2019
DevOps is the union of people, processes, and products to enable the continuous delivery of value to end users. DevOps for machine learning is about bringing the lifecycle management of DevOps to Machine Learning.