This video will introduce what's new in Visual Studio 2019 for C++ developers. Erika Sweet will demo a cross-platform CMake application that runs on both Linux and Windows, to highlight new features that push the boundaries of individual and team productivity. These include a new start window experience, an improved Linux targeting experience, and productivity features. Visual Studio 2019 and Visual Studio Code will make every C++ developer (not just Windows developers) more productive. Learn more about Visual Studio 2019 and C++
Cloud Foundry is a platform for running cloud-native applications, including those written in Java and Spring. In this video, Ning Kuang will show us how to run Java and Spring applications on Azure, on top of Cloud Foundry, and how to access Azure resources like databases using Open Service Broker for Azure. At the end, Ning will also demo real-time monitoring of the application using Azure Application Insights.Cloud Foundry on AzureJava on Azure
Azure Cosmos DB is a globally distributed, highly-available, multi-model database service. In this video, join us as we demonstrate how to get started with our new SDKs, make the most of database-level throughput, and set up a CI/CD pipeline using the Azure Cosmos DB emulator build task for Azure Pipelines.
Virtual node is now a public preview feature with Azure Kubernetes Service. With virtual node you can burst into Azure Container Instances where you have no VM management. This enables you to scale your Kubernetes clusters even faster when you combine concepts like the horizontal pod autoscaler. The technology behind this is virtual kubelet which is an open source project supported by multiple cloud providers.
Learn how to build and train machine learning models faster, and easily deploy to the cloud or the edge with Azure Machine Learning service. Using the latest open source technologies such as TensorFlow, PyTorch and Jupyter Notebooks, Chris Lauren shows you how to experiment locally and then quickly scale up or out with large GPU-enabled clusters in the cloud. Even if you have limited experience with data science, you can learn how to increase your productivity with automated machine learning and hyper-parameter tuning. Get started with Azure Machine Learning today for free
Visual Studio Live Share enables you to quickly share your context: IntelliSense completions and navigation through code, breakpoints and autos for debugging, servers for your front-end and databases, terminals to run commands and tests, source control diffs for code reviews, audio to quickly communicate, and much more! Collaboration just got so much easier. Collaborate with your teammates in real-time from the comfort of your own tools, configured the way you want. Collaboration has become a major part of modern development: pair programming, code reviews, interactive education to name a few. Working together just got a lot easier.
Azure DevOps is the ultimate DevOps tool, for any language targeting any platform. Now, Azure DevOps integrates seamlessly with GitHub. Come see how we can easily track our work with the Azure Boards and GitHub integration and how we can easily create CI/CD pipelines for our code in GitHub using Azure Pipelines.
Several new language features are coming to C# in the next release, included in Visual Studio 2019. Mads Torgersen will give us a quick look at how to avoid null reference exceptions with nullable reference types, how to consume and produce asynchronous streams, and much more.Twitter: @MadsTorgersenLearn more about C# 8.0
API Conventions and API Analyzers have been added in ASP.NET Core 2.2, which automatically enable better Open API Specification documentation with less code. If your web APIs are small nodes in a microservice architecture, you’ll want to see how the new Health Checks features we bring in ASP.NET Core 2.2 give you the opportunity to control how your ASP.NET Core apps start or behave based conditions you define based on the status of their dependencies. Watch this video for these and more new features in ASP.NET Core 2.2.
ONNX Runtime is a high performance scoring engine for traditional and deep machine learning models. It's now open sourced on https://github.com/microsoft/onnxruntime. In this video, we'll demonstrate how you can incorporate this into your application for faster and more efficient model scoring.