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Supported Windows amd64 tags

Supported Linux amd64 tags

Supported Linux arm32 tags

For more information about these images and their history, please see the relevant Dockerfile (dotnet/dotnet-docker-samples). These images are updated via pull requests to the dotnet/dotnet-docker-samples GitHub repo.

.NET Core Docker Samples

This repo contains samples (one so far) that demonstrate various .NET Core Docker configurations.

You can see the source for these samples at dotnet/dotnet-docker-samples on GitHub.

What is .NET Core?

.NET Core is a general purpose development platform maintained by Microsoft and the .NET community on GitHub. It is cross-platform, supporting Windows, macOS and Linux, and can be used in device, cloud, and embedded/IoT scenarios.

.NET has several capabilities that make development easier, including automatic memory management, (runtime) generic types, reflection, asynchrony, concurrency, and native interop. Millions of developers take advantage of these capabilities to efficiently build high-quality applications.

You can use C# to write .NET Core apps. C# is simple, powerful, type-safe, and object-oriented while retaining the expressiveness and elegance of C-style languages. Anyone familiar with C and similar languages will find it straightforward to write in C#.

.NET Core is open source (MIT and Apache 2 licenses) and was contributed to the .NET Foundation by Microsoft in 2014. It can be freely adopted by individuals and companies, including for personal, academic or commercial purposes. Multiple companies use .NET Core as part of apps, tools, new platforms and hosting services.

https://docs.microsoft.com/dotnet/core/

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How to use these Images

Run a sample .NET Core application within a container

The dotnetapp image is a sample application that depends on the .NET Core Runtime image. You can run it in a container by running the following command.

docker run microsoft/dotnet-samples:dotnetapp

Note: The instructions above work for both Linux and Windows containers. The .NET Core docker images use multi-arch tags, which abstract away different operating system choices for most use-cases.

Image variants

The microsoft/dotnet-sample images come in one flavor.

microsoft/dotnet-samples:dotnetapp

This image demonstrates the minimal use of the .NET Core Runtime image. It is not intended to be used as the base of another image, but purely used for demonstration purposes.

Related Repos

See the following related repos for other application types:

License

View license information for the software contained in this image.

The .NET Core Windows container images use the same license as the Windows Server 2016 Nano Server base image, as follows:

MICROSOFT SOFTWARE SUPPLEMENTAL LICENSE TERMS

CONTAINER OS IMAGE

Microsoft Corporation (or based on where you live, one of its affiliates) (referenced as “us,” “we,” or “Microsoft”) licenses this Container OS Image supplement to you (“Supplement”). You are licensed to use this Supplement in conjunction with the underlying host operating system software (“Host Software”) solely to assist running the containers feature in the Host Software. The Host Software license terms apply to your use of the Supplement. You may not use it if you do not have a license for the Host Software. You may use this Supplement with each validly licensed copy of the Host Software.

Supported Docker versions

Supported Docker versions: the latest release (down to 1.12.2 on a best-effort basis)

Please see the Docker installation documentation for details on how to upgrade your Docker daemon.

User Feedback

Issues

If you have any problems with or questions about this image, please contact us through a GitHub issue.

Contributing

You are invited to contribute new features, fixes, or updates, large or small; we are always thrilled to receive pull requests, and do our best to process them as fast as we can.

Before you start to code, please read the .NET Core contribution guidelines.

Documentation

You can read documentation for .NET Core, including Docker usage in the .NET Core docs. The docs are open source on GitHub. Contributions are welcome!