Learn how to use Docker and build containers to run new or existing workloads in this Intro to Docker on Windows with Visual Studio 2017 tutorial. Start Today!
Many developers and architects are challenged with the ask to move to continuous delivery and DevOps. They also see the emerging popularity of Docker and are asked to move their new and current .Net applications to a "dockerized" solution. In this course, Introduction to Docker on Windows with Visual Studio 2017, you'll learn how to use Docker to deliver solutions to the Windows platform. First, you'll explore the options and capabilities Docker has to offer on the Windows platform. Next, you'll delve into how Visual Studio 2017 simplifies the use of Docker in the development cycle. Finally, you'll learn how to implement a delivery pipeline with Visual Studio Team Services (VSTST) or TFS to deploy to any of the target platforms, ranging from single windows server to a cluster of machines managed by cluster managers like Kubernetes or Service Fabric. By the end of this course, you'll be able to explain how containers work on windows, how to build Docker containers to run new or existing workloads, and how to deploy your applications to different container hosting solutions on premise or in the cloud.
Many developers and architects are challenged with the ask to move to continuous delivery and DevOps. They also see the emerging popularity of Docker and are asked to move their new and current .Net applications to a "dockerized" solution. In this course, Introduction to Docker on Windows with Visual Studio 2017, you'll learn how to use Docker to deliver solutions to the Windows platform. First, you'll explore the options and capabilities Docker has to offer on the Windows platform. Next, you'll delve into how Visual Studio 2017 simplifies the use of Docker in the development cycle. Finally, you'll learn how to implement a delivery pipeline with Visual Studio Team Services (VSTST) or TFS to deploy to any of the target platforms, ranging from single windows server to a cluster of machines managed by cluster managers like Kubernetes or Service Fabric. By the end of this course, you'll be able to explain how containers work on windows, how to build Docker containers to run new or existing workloads, and how to deploy your applications to different container hosting solutions on premise or in the cloud.
