This new version of the Docker tools for Visual Studio Code bridges that gap seamlessly – making it trivial to debug your containerized applications via the launch configuration mechanism in Visual Studio Code. However, integrating these generated containers into tooling was a gap. It has secure defaults out of the box, and lets users customize almost every aspect of the generated container. With a single PackageReference (or no package at all if you’re using 7.0.300 or later SDKs!), a single dotnet publish -p PublishProfile=DefaultContainer command results in a working container image for your application. NET SDK has had the ability to create container images easily via dotnet publish. Users are immediately faced with understanding multi-stage Dockerfiles, container build args, and ensuring that paths align across stages for the build and publish outputs.

This is a great foundation for building an efficient container image, but there’s a lot to understand out of the box. RUN dotnet publish 'MinimalApiSharp.csproj' -c $configuration -o /app/publish /p:UseAppHost=falseĮNTRYPOINT RUN dotnet build 'MinimalApiSharp.csproj' -c $configuration -o /app/build RUN dotnet restore 'MinimalApiSharp.csproj' This Dockerfile looked something like this: FROM /dotnet/runtime:8.0-preview AS baseįROM /dotnet/sdk:8.0-preview AS build Previously, the Docker tools provided the ability to scaffold a Dockerfile for a. You can learn more about this tooling at the Visual Studio Marketplace. It provides scaffolding of Dockerfiles, integrations to build, run and debug the containers generated from those Dockerfiles, and provides in-editor access to a number of other Docker- and Container-related tools. The Docker tools for Visual Studio Code are a set of tools that make it easy for developers to get started with containers. The Docker tools for Visual Studio Code has released version 1.26.0, bringing built-in support for building and debugging container images using the.

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