Learn all about the new Cloud Native Application Bundles (CNAB) from Microsoft and Docker!
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
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++
Visual Studio 2019 the latest improvements and features to support you and your team be more productive, support modern application development, and continuously innovate. In this video, we’ll walk through how Visual Studio 2019 enables you to get started writing code faster and easier with existing code repos or new projects, focus on what’s important with new UI improvements, seamlessly collaborate across teams with pull requests, and more!
https://aka.ms/go-videos Code samples: https://aka.ms/go-samples Sign up for Azure Functions for Go: https://aka.ms/gofunc-signup Read our docs: https://docs.azure.com/go/azure Twitter: @joshugav @ashleymcnamara"> In this video, Josh Gavant and Ashley McNamara will show you how to use Visual Studio Code to build a cloud-native API server in Go, containerize it and deploy it to Azure Web Apps. With Azure Container Registry, they'll also demo Continuous Deployment for the Docker container. More Go videos! https://aka.ms/go-videos Code samples: https://aka.ms/go-samples Sign up for Azure Functions for Go: https://aka.ms/gofunc-signup Read our docs: https://docs.azure.com/go/azure Twitter: @joshugav @ashleymcnamara
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.
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.
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.
Watch Matt Hernandez build an online sticker store with React and Node.js and bring it to the cloud, using only Visual Studio Code. Matt will demo extensions for Visual Studio Code to create and manage MongoDB and Cosmos DB databases, deploy Node.js apps to Azure, and enable Continuous Delivery from GitHub. Node.js Azure docs Visual Studio Code deployment tutorials Azure Tools Visual Studio Code extension
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
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