Azure DevOps Projects Emerges from Public Preview -- Visual Studio Magazine

Azure DevOps Projects Emerges from Public Preview

By David Ramel
07/16/2018

Promising a three-step, five-minute process to running code on any Azure cloud service with built-in CI/CD, Azure DevOps Projects has graduated from its public preview into general availability.

Azure DevOps Projects is now available in the Azure Portal, providing simplified experience in which developers can bring their existing code and Git repository to leverage Azure DevOps functionality or choose from a stable of existing applications to create a Continuous Integration (CI) and Continuous Delivery (CD) pipeline to the cloud.

Microsoft announced the service -- which leverages Visual Studio Team Services (VSTS) for build and release services -- last November and has continued to add functionality in part based on developer feedback, for example adding support for new programming languages.

The aforementioned sample applications cover .NET, Java, Static Website, Node.js, PHP and Python.

After the first step of selecting a language, developers choose a runtime. For example, choosing a Java app brings up the choices of Spring and JFS, while selecting a Node.js app provides options including Express.js, Sails.js or SimpleNode.js.

**[Click on image for larger view.]** The Steps for Starting an Azure DevOps Project *(source: Microsoft).*

After that, for the third step, a developer selects an Azure service -- such as Web App for Containers in the case of a Node.js app, for one example -- and then creates the DevOps project.

As detailed in a July 12 blog post, that final creation step triggers the setup of surrounding services such as:

All necessary Azure resources
Git repository with application code
Automated CI/CD pipeline
Application Insights integration for monitoring applications
A DevOps Project dashboard that lets you monitor code commits, builds and, deployments, from a single view in the Azure portal
A VSTS account and Project

Microsoft has published five-minute Quickstarts for .NET, Node.js, Java, Python, PHP, Ruby and Go, along with step-by-step tutorials for bringing in existing code with GitHub, deploying an ASP.NET App to Azure Virtual Machines, deploying an app to Azure Container Service and Kubernetes and more.

Further functionality under development can be tracked in the project's roadmap.

About the Author

David Ramel is an editor and writer at Converge 360.

Printable Format

comments powered by Disqus

Featured

Visual Studio Devs Demand Claude 3.5 Sonnet AI: 'Why Is VSC Always Preferred?'

The brand-new Visual Studio 2022 v17.12 lets devs specify the AI model they want to use with the baked-in GitHub Copilot, but some are clamoring for more options, such as the latest/greatest Claude 3.5 Sonnet model from Anthropic that is available in VS Code.
SQL Database in Microsoft Fabric in Preview for Faster AI Apps

Microsoft's early embrace of advanced AI in its dev tooling continues apace with the new public preview of SQL database in Microsoft Fabric, the company's analytics/data platform.
Microsoft Seeks to Sort & Simplify its Agentic AI Dev Story

The company will infuse multi-agent runtime tech developed in its AutoGen research project into its production-ready Semantic Kernel SDK, both open source.
Uno Platform Unveils 'Hot Design' Tool for Cross-Platform .NET Apps

Uno Platform provided a new take on visual designers for .NET app development, claiming a breakthrough that changes code at runtime rather than the design stage.
Simple k-NN Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning regression techniques, k-NN regression is often slightly less accurate, but is very simple to implement and customize, and the results are highly interpretable.