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Note: For the 0.9.0 release, we are working on expanding and refining our wiki documentation. If you have questions that are not answered here, please file an issue so we know what is missing.
The Docker extension makes it easy to build, manage and deploy containerized applications from Visual Studio Code.
This page provides an overview of the Docker extension capabilities; use the side menu to learn more about topics of interest.
Install Docker on your machine and add it to the system path.
On Linux, you should also enable Docker CLI for the non-root user account that will be used to run VS Code.
To install the extension, open Extensions view (Ctrl+Shift+X
), search for docker
to filter results and select Docker extension authored by Microsoft.
images/home-installation-extension-search.png
Rich IntelliSense (completions) are provided for Dockerfile
and docker-compose.yml
files:
images/home-dockerfile-intellisense.png
In addition, common errors for Dockerfile
and docker-compose.yml
files are detected and reported in the Problems panel.
Docker: Add Docker Files to Workspace
command will generate Dockerfile
, docker-compose.yml
, docker-compose.debug.yml
and .dockerignore
files to your workspace. The extension recognizes workspaces that use most popular development languages (C#, Node.js, Python, Ruby, Go and Java) and customizes Docker files accordingly.
The Docker extension contributes a Docker view to VS Code. The Docker view lets you examine and manage Docker assets: containers, images, volumes, networks, and container registries. If the Azure Account extension is installed, you can browse your Azure Container Registries as well.
The right-click menu provides access to commonly-used commands for each type of asset.
images/home-docker-view-context-menu.gif
You can rearrange the Docker view panes by dragging them up or down with a mouse and use the context menu to hide or show them.
images/home-docker-view-rearrange.gif
Many of the most common Docker commands are built right into the Command Palette:
images/home-command-palette.png
Covered areas include images, networks, volumes, container registries and Docker Compose. In addition, the Docker: Prune System
custom command will remove stopped containers, dangling images, and unused networks and volumes.
You can display the content and push/pull/delete images from Docker Hub and Azure Container Registries:
images/home-container-registry.png
An image in an Azure Container Registry can be deployed to Azure App Service directly from VS Code—see Deploy images to Azure App Service page. For more information about how to authenticate to and work with registries see Work with container registries page.
Services build using .NET (C#) and Node.js can be debugged when running inside a container. The extension offers custom tasks that help with launching a service under the debugger and with attaching the debugger to a running service instance. For more information see Debug container application and Customize container build and execution with tasks pages.
The extension adds Docker Images: Run Azure CLI
command that launches Azure CLI inside a standalone, Linux-based Docker container. This allows access to full Azure CLI command set in an isolated environment. See Get started with Azure CLI page for more information on available commands.
Maintaining good quality documentation is a priority for the Docker extension team. If you find missing or inaccurate content, or if you'd like to extend the wiki with a topic or tutorial, please let us know by opening an issue.