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.
Learn the steps required to design, build, deploy, and orchestrate a cloud native microservice architecture using Java and Eclipse MicroProfile. We’ll use Red Hat’s MicroProfile (former WildFly Swarm) implementation known as Thorntail, optimized for deployment to OpenShift and integrated with Azure services.
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
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."> 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.
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 IntelliCode brings the power of AI into your development environment to boost your productivity. With this latest update, you can easily train IntelliCode on your own codebase to provide contextual IntelliSense recommendations customized for you. We'll walk through how developers can take advantage of this new capability, as well as a quick tour of our newly supported languages.
Join us for a fun, hands-on session with the people who build Visual Studio and Visual Studio for Mac. Learn about some of the latest, greatest, and favorite features that will help make you more productive in building world-class applications. Get ready to roll up your sleeves and follow along.
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.
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