Connect(); Special Issue 2018
Volume 33 Number 13
[.NET Core]What's Coming in .NET Core 3.0.NET Core 3 is the next major version of the .NET Core platform. This article walks through the history of .NET Core and demonstrates how it has grown from basic support for Web and data workloads in version 1 to being able to run Web, desktop, machine learning, containers, IoT and more in version 3. |
December 2018 MSDN Magazine
Read the articles in the December 2018 issue, including content on Azure Kubernetes Services, Azure IoT Central, Blazor Custom Components, and more. |
[Visual Studio]What's New in Visual Studio 2019Visual Studio 2019 introduces exciting improvements and new features aimed at optimizing developer productivity and team collaboration. Whether you’re using Visual Studio for the first time or have been using it for years, you’ll benefit from features that improve all aspects of the development lifecycle. |
[Visual Studio]Collaborative Development with Visual Studio Live ShareVisual Studio Live Share lets groups of developers collaborate in real time on code projects, even if they use different operating systems and languages, and even if they are miles apart. The minimal amount of data transfer during sessions ensures quick and easy sharing, and each developer gets to work in the environment of their choice. |
[Machine Learning]ML.NET: The Machine Learning Framework for .NET DevelopersThe ML.NET library is a new open source collection of machine learning code—created by Microsoft for .NET developers—that can be used to create powerful prediction systems. To demonstrate, James McCaffrey presents a program that creates a model for predicting the annual income for a person based on their age, sex, and political leaning. |
[Machine Learning]Accelerate AI Solutions with Automated Machine LearningWith automated Machine Learning, Microsoft is working towards its quest of making AI more accessible for every developer and data scientist. This article explores building an energy demand forecasting solution using automated ML. |
[Azure]Deploy Your Code The Right Way with Azure PipelinesMicheal Learned and Andy Lewis Azure Pipelines is a powerful, easy-to-use continuous integration and continuous delivery service that lets you build, test and then deploy apps to your intended targets. This article explores deployment scenarios for various Azure services and walks through a detailed scenario for creating a pipeline for a .NET Core app that targets Docker containers in Azure Kubernetes Service. |
[Azure]Introducing Azure SQL Database HyperscaleLearn about Azure SQL Database Hyperscale, a revolutionary new architecture that has the unique benefit of providing full compatibility with previous generations of SQL engines. |
[Azure]7 Tips and Tricks for Azure App ServiceBe more productive with Azure App Services with these handy tips that solve common developer scenarios and can shave hours off your coding tasks. |
[Cross-Platform Development]Exploring the Xamarin.Forms ShellThe new Xamarin.Forms Shell introduced at the Connect(); conference in December acts as a container for your application. Shell takes care of the basic UI features every application needs so that you can focus on the core work of your application. |
Column
[Editor's Note]December Is for DevelopersThe Connect(); conference is part of a larger conversation between Microsoft and its developer community. This special issue of MSDN Magazine explores the vision Microsoft has articulated and how it will impact developers. |