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.
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.
Grafana is one of the popular and leading open source tools for visualizing time series metrics.
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.
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).
Azure Databricks provides a fast, easy, and collaborative Apache® Spark™-based analytics platform to accelerate and simplify the process of building big data and AI solutions that drive the business forward, all backed by industry-leading SLAs.
So you followed that excellent walkthrough on the web and built a great prototype web app. You run npm start locally and browse to https://localhost and it all looks great.
IT organizations are under more pressure than ever to do more with less, they are expected to drive competitive advantage and innovation with higher quality while managing with smaller teams.
Following the launch of Azure DevOps in September, we’re pleased to announce the official release of Azure DevOps Server 2019! Previously known as Team Foundation Server (TFS), Azure DevOps Server 2019 brings the power of Azure DevOps into your dedicated environment.
Today we are excited to launch two new key capabilities to Azure Firewall.