We are excited to announce the new Azure Container Service, an open source container scheduling and orchestration service which builds on our partnerships with both Docker and Mesosphere, as well as our contributions to open source projects in this space. This service leverages both Docker and Apache Mesos in order to deliver an open source environment for running container workloads. Mesos already powers leading brands like Twitter, all of Apple's Siri, large parts of Airbnb, Netflix and OpenTable.
We've built the Azure Container Service in close collaboration with Mesosphere, using open source components from their DCOS offering including DCOS Marathon (for launching and scaling container based applications) and Chronos (for distributed cron and batch workloads). Additionally, many of our customers are excited to deploy Docker containers using Docker Swarm and Docker Compose. See Mark Russinovich, Azure CTO demo the new service in discussion with Benjamin Hindman, CTO and founder of Mesosphere.
Bring your laptop to this session! Join members of the Cortana Analytics team for a hands-on workshop to practice building an experiment in Azure ML.This session will start with a short demo showing how to build an Azure ML experiment. You can follow along and build the experiment on your PC as the instructors explain what the experiment does, why the algorithms used were chosen, and key decisions in the experiment design. You'll then get 90 minutes to work on your own experiment. Depending on your experience level, you can:
Work your way through an online walkthrough (we'll provide pointers to several different tutorials)
Make changes to an existing experiment in the Azure ML Gallery to alter how it functions
Create a new experiment in the Azure ML Studio using an existing dataset
Visual Studio 2015 now includes support for the Python language. This video shows how Visual Studio features like IntelliSense, debugging, source control and unit tests are available for Python, and how to get started.