The Visual Studio Code Dev Containers extension lets you use a Docker container as a full-featured development environment. It allows you to open any folder or repository inside a container and take advantage of Visual Studio Code's full feature set. A devcontainer.json
file in your project tells VS Code how to access (or create) a development container with a well-defined tool and runtime stack. This container can be used to run an application or to separate tools, libraries, or runtimes needed for working with a codebase.
Path to creating a dev container
In this document, we'll go through the steps for creating a development (dev) container in VS Code:
- Create a
devcontainer.json
, which describes how VS Code should start the container and what to do after it connects. - Make and persist changes to the dev container, such as installation of new software, through use of a Dockerfile.
- Configure multiple containers through Docker Compose.
- As you make changes, build your dev container to ensure changes take effect.
After any of the steps above, you'll have a fully functioning dev container, and you can either continue to the next step of this tutorial to add more features, or stop and begin working in the dev environment you currently have.
Note: The Dev Containers extension has a Dev Containers: Add Dev Container Configuration Files... command that lets you pick a pre-defined container configuration from a list. If you'd prefer to have a complete dev container immediately rather than building up the
devcontainer.json
and Dockerfile step-by-step, you can skip ahead to Automate dev container creation.
Create a devcontainer.json file
VS Code's container configuration is stored in a devcontainer.json file. This file is similar to the launch.json
file for debugging configurations, but is used for launching (or attaching to) your development container instead. The dev container configuration is either located under .devcontainer/devcontainer.json
or stored as a .devcontainer.json
file (note the dot-prefix) in the root of your project.
You can use an image as a starting point for your devcontainer.json
. An image is like a mini-disk drive with various tools and an operating system pre-installed. You can pull images from a container registry, which is a collection of repositories that store images. Here is a simple example devcontainer.json
that uses a pre-built TypeScript and Node.js VS Code Development Container image:
{ "image": "mcr.microsoft.com/devcontainers/typescript-node:0-18"}
You can alter your configuration to do things such as:
- Install additional tools such as Git in the container.
- Automatically install extensions.
- Forward or publish additional ports.
- Set runtime arguments.
- Reuse or extend your existing Docker Compose setup.
- Add more Advanced container configuration.
For this example, if you'd like to install the Code Spell Checker extension into your container and automatically forward port 3000, your devcontainer.json
would look like:
{ "image": "mcr.microsoft.com/devcontainers/typescript-node", "customizations": { "vscode": { "extensions": ["streetsidesoftware.code-spell-checker"] } }, "forwardPorts": [3000]}
Note: Additional configuration will already be added to the container based on what's in the base image. For example, we add the
streetsidesoftware.code-spell-checker
extension above, and the container will also include"dbaeumer.vscode-eslint"
as that's part ofmcr.microsoft.com/devcontainers/typescript-node
. This happens automatically when pre-building using devcontainer.json, which you may read more about in the pre-build section.
With the above devcontainer.json
, your dev container is functional, and you can connect to and start developing within it. Try it out with the Dev Containers: Reopen in Container command:
After running this command, when VS Code restarts, you're now within a Node.js and TypeScript dev container with port 3000 forwarded and the ESLint extension installed. Once you're connected, notice the green remote indicator on the left of the Status bar to show you are connected to your dev container:
Additional dev container scenarios
Through a devcontainer.json
file, you can:
- Spin up a stand-alone container to isolate your toolchain or speed up setup.
- Work with a container deployed application defined by an image, Dockerfile, or Docker Compose.
- Use Docker or Kubernetes from inside a dev container to build and deploy your app.
If devcontainer.json
's supported workflows do not meet your needs, you can also attach to an already running container instead.
Tip: Want to use a remote Docker host? See the Develop on a remote Docker host article for details on setup.
Install additional software
You may want to install additional software in your dev container. Once VS Code is connected to the container, you can open a VS Code terminal and execute any command against the OS inside the container. This allows you to install new command-line utilities and spin up databases or application services from inside the Linux container.
Most container images are based on Debian or Ubuntu, where the apt
or apt-get
command is used to install new packages. You can learn more about the command in Ubuntu's documentation. Alpine images include a similar apk
command while CentOS / RHEL / Oracle SE / Fedora images use yum
or more recently dnf
.
Documentation for the software you want to install will usually provide specific instructions, but you may not need to prefix commands with sudo
if you are running as root in the container.
For example:
# If running as rootapt-get updateapt-get install <package>
If you are running as root, you can install software as long as sudo
is configured in your container. All predefined containers have sudo
set up, but the Add a non-root user to a container article can help you set this up for your own containers. Regardless, if you install and configure sudo
, you'll be able to use it when running as any user including root.
# If sudo is installed and configuredsudo apt-get updatesudo apt-get install <package>
Let's say you want to install Git. You could run the following commands in the integrated terminal in VS Code:
# If sudo is installed and configuredsudo apt-get update# Install Gitsudo apt-get install git
You may also use the "features"
property in the devcontainer.json
to install tools and languages from a pre-defined set of Features or even your own.
For example, you could install the latest version of the Azure CLI with the following:
"features": { "ghcr.io/devcontainers/features/azure-cli:1": { "version": "latest" } }
See the Dev Container Features specification for more details.
Rebuild
When editing the contents of the .devcontainer
folder, you'll need to rebuild for changes to take effect. Use the Dev Containers: Rebuild Container command for your container to update.
However, if you rebuild the container, you will have to reinstall anything you've installed manually. To avoid this problem, you can use the postCreateCommand
property in devcontainer.json
.
The postCreateCommand
actions are run once the container is created, so you can also use the property to run commands like npm install
or to execute a shell script in your source tree (if you have mounted it).
"postCreateCommand": "bash scripts/install-dev-tools.sh"
You can also use an interactive bash shell so that your .bashrc
is picked up, automatically customizing your shell for your environment:
"postCreateCommand": "bash -i scripts/install-dev-tools.sh"
Tools like NVM won't work without using -i
to put the shell in interactive mode:
"postCreateCommand": "bash -i -c 'nvm install --lts'"
The command needs to exit or the container won't start. For instance, if you add an application start to postCreateCommand
, the command wouldn't exit.
There is also a postStartCommand
that executes every time the container starts. The parameters behave exactly like postCreateCommand
, but the commands execute on start rather than create.
Rather than referencing an image directly in devcontainer.json
or installing software via the postCreateCommand
or postStartCommand
, an even more efficient practice is to use a Dockerfile.
Dockerfile
A Dockerfile will also live in the .devcontainer
folder. You can replace the image
property in devcontainer.json
with dockerfile
:
{ "build": { "dockerfile": "Dockerfile" }, "customizations": { "vscode": { "extensions": ["dbaeumer.vscode-eslint"] } }, "forwardPorts": [3000]}
When you make changes like installing new software, changes made in the Dockerfile will persist even upon a rebuild of the dev container.
In your Dockerfile, use FROM
to designate the image, and the RUN
instruction to install any software. You can use &&
to string together multiple commands.
FROM mcr.microsoft.com/devcontainers/javascript-node:0-18RUN apt-get update && export DEBIAN_FRONTEND=noninteractive \ && apt-get -y install git
Note: The
DEBIAN_FRONTEND
export avoids warnings when you go on to work with your container.
Automate dev container creation
Rather than creating a .devcontainer
by hand, selecting the Dev Containers: Add Dev Container Configuration Files... command from the Command Palette (F1) will add the needed files to your project as a starting point, which you can further customize for your needs.
The command lets you pick a pre-defined container configuration from a list based on your folder's contents:
The predefined container configurations you can pick from come from our first-party and community index, which is part of the Dev Container Specification. We host a set of Templates as part of the spec in the devcontainers/templates repository. You can browse the src
folder of that repository to see the contents of each Template.
At the end of using Dev Containers: Add Dev Container Configuration Files..., you'll be shown the list of available features, which are tools and languages you can easily drop into your dev container. Dev Containers: Configure Container Features allows you to update an existing configuration.
You can also reuse an existing Dockerfile:
Now that you have a devcontainer.json
and Dockerfile, let's see the general process for editing container configuration files.
Full configuration edit loop
Editing your container configuration is easy. Since rebuilding a container will "reset" the container to its starting contents (with the exception of your local source code), VS Code does not automatically rebuild if you edit a container configuration file (devcontainer.json
, Dockerfile
, and docker-compose.yml
). Instead, there are several commands that can be used to make editing your configuration easier.
Here is the typical edit loop using these commands:
- Start with Dev Containers: Add Dev Container Configuration Files... in the Command Palette (F1).
- Edit the contents of the
.devcontainer
folder as required. - Try it with Dev Containers: Reopen in Container.
- If you see an error, select Open Folder Locally in the dialog that appears.
- After the window reloads, a copy of the build log will appear in the console so you can investigate the problem. Edit the contents of the
.devcontainer
folder as required. (You can also use the Dev Containers: Show Container Log command to see the log again if you close it.) - Run Dev Containers: Rebuild and Reopen in Container and jump to step 4 if needed.
If you already have a successful build, you can still edit the contents of the .devcontainer
folder as required when connected to the container and then select Dev Containers: Rebuild Container in the Command Palette (F1) so the changes take effect.
You can also iterate on your container when using the Dev Containers: Clone Repository in Container Volume command.
- Start with Dev Containers: Clone Repository in Container Volume in the Command Palette (F1). If the repository you enter does not have a
devcontainer.json
in it, you'll be asked to select a starting point. - Edit the contents of the
.devcontainer
folder as required. - Try it with DEv Containers: Rebuild Container.
- If you see an error, select Open in Recovery Container in the dialog that appears.
- Edit the contents of the
.devcontainer
folder as required in this "recovery container." - Use Dev Containers: Reopen in Container and jump to step 4 if you still hit problems.
Use Docker Compose
In some cases, a single container environment isn't sufficient. Let's say you'd like to add another complex component to your configuration, like a database. You could attempt to add it to the Dockerfile directly, or you could add it through an additional container. Fortunately, Dev Containers supports Docker Compose managed multi-container configurations.
You can either:
- Work with a service defined in an existing, unmodified
docker-compose.yml
. - Create a new
docker-compose.yml
(or make a copy of an existing one) that you use to develop a service. - Extend your existing Docker Compose configuration to develop the service.
- Use separate VS Code windows to work with multiple Docker Compose-defined services at once.
Note: When using Alpine Linux containers, some extensions may not work due to
glibc
dependencies in native code inside the extension.
VS Code can be configured to automatically start any needed containers for a particular service in a Docker Compose file. If you've already started the configured containers using the command line, VS Code will attach to the running service you've specified instead. This gives your multi-container workflow the same quick setup advantages described for the Docker image and Dockerfile workflows above, while still allowing you to use the command line if you prefer.
To get started quickly, open the folder you want to work with in VS Code and run the Dev Containers: Add Dev Container Configuration Files... command in the Command Palette (F1).
You'll be prompted to pick a pre-defined container configuration from our first-party and community index in a filterable list sorted based on your folder's contents. From the VS Code UI, you may select one of the following Templates as a starting point for Docker Compose:
- Existing Docker Compose - Includes a set of files that you can drop into an existing project that will reuse a
docker-compose.yml
file in the root of your project. - Node.js & MongoDB - A Node.js container that connects to a MongoDB database in a different container.
- Python & PostgreSQL - A Python container that connects to PostgreSQL in a different container.
- Docker-from-Docker Compose - Includes the Docker CLI and illustrates how you can use it to access your local Docker install from inside a dev container by volume mounting the Docker Unix socket.
After you make your selection, VS Code will add the appropriate .devcontainer/devcontainer.json
(or .devcontainer.json
) file to the folder.
You can also create your configuration manually. To reuse a Docker Compose file unmodified, you can use the dockerComposeFile
and service
properties in .devcontainer/devcontainer.json
.
For example:
{ "name": "[Optional] Your project name here", "dockerComposeFile": "../docker-compose.yml", "service": "the-name-of-the-service-you-want-to-work-with-in-vscode", "workspaceFolder": "/default/workspace/path/in/container/to/open", "shutdownAction": "stopCompose"}
See the devcontainer.json reference for information other available properties such as the workspaceFolder
and shutdownAction
.
Once you have added a .devcontainer/devcontainer.json
file to your folder, run the Dev Containers: Reopen in Container command (or Dev Containers: Open Folder in Container... if you are not yet in a container) from the Command Palette (F1).
If the containers are not already running, VS Code will call docker-compose -f ../docker-compose.yml up
in this example. The service
property indicates which service in your Docker Compose file VS Code should connect to, not which service should be started. If you started them by hand, VS Code will attach to the service you specified.
You can also create a development copy of your Docker Compose file. For example, if you had .devcontainer/docker-compose.devcontainer.yml
, you would just change the following line in devcontainer.json
:
"dockerComposeFile": "docker-compose.devcontainer.yml"
However, a better approach is often to avoid making a copy of your Docker Compose file by extending it with another one. We'll cover extend a Docker Compose file in the next section.
To avoid having the container shut down if the default container command fails or exits, you can modify your Docker Compose file for the service you have specified in devcontainer.json
as follows:
# Overrides default command so things don't shut down after the process ends.command: /bin/sh -c "while sleep 1000; do :; done"
If you have not done so already, you can "bind" mount your local source code into the container using the volumes list in your Docker Compose file.
For example:
volumes: # Mounts the project folder to '/workspace'. The target path inside the container # should match what your application expects. In this case, the compose file is # in a sub-folder, so you will mount '..'. You would then reference this path as the # 'workspaceFolder' in '.devcontainer/devcontainer.json' so VS Code starts here. - ..:/workspace:cached
However, on Linux you may need to set up and specify a non-root user when using a bind mount or any files you create will be root. See Adding a non-root user to your dev container for details. To have VS Code run as a different user, add this to devcontainer.json
:
"remoteUser": "your-user-name-here"
If you want all processes to run as a different user, add this to the appropriate service in your Docker Compose file:
user: your-user-name-here
If you aren't creating a custom Dockerfile for development, you may want to install additional developer tools such as curl
inside the service's container. While less efficient than adding these tools to the container image, you can also use the postCreateCommand
property for this purpose.
See install additional software for more information on installing software and the devcontainer.json reference for more information about the postCreateCommand
property.
If your application was built using C++, Go, or Rust, or another language that uses a ptrace-based debugger, you will also need to add the following settings to your Docker Compose file:
# Required for ptrace-based debuggers like C++, Go, and Rustcap_add:- SYS_PTRACEsecurity_opt:- seccomp:unconfined
After you create your container for the first time, you will need to run the Dev Containers: Rebuild Container command for updates to devcontainer.json
, your Docker Compose files, or related Dockerfiles to take effect.
Using localhost in Docker Compose
You can add other services to your docker-compose.yml
file as described in Docker's documentation. However, if you want anything running in this service to be available in the container on localhost, or want to forward the service locally, be sure to add this line to the service config:
# Runs the service on the same network as the database container, allows "forwardPorts" in devcontainer.json function.network_mode: service:db
You can see an example of network_mode: service:db
in the Node.js and MongoDB example dev container.
Extend your Docker Compose file for development
Referencing an existing deployment / non-development focused docker-compose.yml
has some potential downsides.
For example:
- Docker Compose will shut down a container if its entry point shuts down. This is problematic for situations where you are debugging and need to restart your app on a repeated basis.
- You also may not be mapping the local filesystem into the container or exposing ports to other resources like databases you want to access.
- You may want to copy the contents of your local
.ssh
folder into the container or set the ptrace options described above in Use Docker Compose.
You can solve these and other issues like them by extending your entire Docker Compose configuration with multiple docker-compose.yml
files that override or supplement your primary one.
For example, consider this additional .devcontainer/docker-compose.extend.yml
file:
version: '3'services: your-service-name-here: volumes: # Mounts the project folder to '/workspace'. While this file is in .devcontainer, # mounts are relative to the first file in the list, which is a level up. - .:/workspace:cached # [Optional] Required for ptrace-based debuggers like C++, Go, and Rust cap_add: - SYS_PTRACE security_opt: - seccomp:unconfined # Overrides default command so things don't shut down after the process ends. command: /bin/sh -c "while sleep 1000; do :; done"
This same file can provide additional settings, such as port mappings, as needed. To use it, reference your original docker-compose.yml
file in addition to .devcontainer/docker-compose.extend.yml
in a specific order:
{ "name": "[Optional] Your project name here", // The order of the files is important since later files override previous ones "dockerComposeFile": ["../docker-compose.yml", "docker-compose.extend.yml"], "service": "your-service-name-here", "workspaceFolder": "/workspace", "shutdownAction": "stopCompose"}
VS Code will then automatically use both files when starting up any containers. You can also start them yourself from the command line as follows:
docker-compose -f docker-compose.yml -f .devcontainer/docker-compose.extend.yml up
While the postCreateCommand
property allows you to install additional tools inside your container, in some cases you may want to have a specific Dockerfile for development. You can also use this same approach to reference a custom Dockerfile
specifically for development without modifying your existing Docker Compose file. For example, you can update .devcontainer/devcontainer.extend.yml
as follows:
version: '3'services: your-service-name-here: # Note that the path of the Dockerfile and context is relative to the *primary* # docker-compose.yml file (the first in the devcontainer.json "dockerComposeFile" # array). The sample below assumes your primary file is in the root of your project. build: context: . dockerfile: .devcontainer/Dockerfile volumes: - .:/workspace:cached command: /bin/sh -c "while sleep 1000; do :; done"
Congratulations! You've now configured a dev container in Visual Studio Code. Continue reading to learn how to share container configurations among teammates and various projects.
Add configuration files to a repository
You can easily share a customized Dev Container Template for your project by adding devcontainer.json
files to source control. By including these files in your repository, anyone that opens a local copy of your repo in VS Code will be automatically prompted to reopen the folder in a container, provided they have the Dev Containers extension installed.
Beyond the advantages of having your team use a consistent environment and tool-chain, this also makes it easier for new contributors or team members to be productive quickly. First-time contributors will require less guidance and hit fewer issues related to environment setup.
Add an open in dev container badge
You may also add a badge or link in your repository so that users can easily open your project in Dev Containers. It will install the Dev Containers extension if necessary, clone the repo into a container volume, and start up the dev container.
As an example, a badge to open https://github.com/microsoft/vscode-remote-try-java would look like:
[](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/microsoft/vscode-remote-try-java)
You can also include an open in dev container
link directly:
If you already have VS Code and Docker installed, you can click the badge above or [here](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/microsoft/vscode-remote-try-java) to get started. Clicking these links will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use.
Alternative: Repository configuration folders
In some cases, you may want to create a configuration for a repository that you do not control or that you would prefer didn't have a configuration included in the repository itself. To handle this situation, you can configure a location on your local filesystem to store configuration files that will be picked up automatically based on the repository.
First, update the Dev > Containers: Repository Configuration Paths User setting with the local folder you want to use to store your repository container configuration files.
In the Settings editor, you can search for 'dev containers repo' to find the setting:
Next, place your .devcontainer/devcontainer.json
(and related files) in a sub folder that mirrors the remote location of the repository. For example, if you wanted to create a configuration for github.com/devcontainers/templates
, you would create the following folder structure:
📁 github.com 📁 devcontainers 📁 templates 📁 .devcontainer
Once in place, the configuration will be automatically picked up when using any of the Dev Containers commands. Once in the container, you can also select Dev Containers: Open Container Configuration File from the Command Palette (F1) to open the related devcontainer.json
file and make further edits.
The path used for looking up the configuration is derived from the output of git remote -v
. If the configuration is not found when you attempt to reopen the folder in a container, check the log Dev Containers: Show Container Log in the Command Palette (F1) for the list of the paths that were checked.
Next steps
- Attach to a Running Container - Attach to an already running Docker container.
- Advanced Containers - Find solutions to advanced container scenarios.
- devcontainer.json reference - Review the
devcontainer.json
schema.
12/7/2022
FAQs
What is remote container VS Code? ›
The Visual Studio Code Remote - Containers extension lets you use a Docker container as a full-featured development environment, which helps ensure a consistent environment across developer machines and makes it easy for new team members and contributors to get up and running.
How do I add a container in Visual Studio? ›To add container orchestrator support using Docker Compose, right-click on the project node in Solution Explorer, and choose Add > Container Orchestrator Support. Then choose Docker Compose to manage the containers.
What is a development container? ›A Development Container (or Dev Container for short) allows you to use a container as a full-featured development environment. It can be used to run an application, to separate tools, libraries, or runtimes needed for working with a codebase, and to aid in continuous integration and testing.
What are the containers in programming code? ›A container is a unit of software that holds the necessary components — code, runtime, system tools, system libraries, and software dependencies, among others — for an application to run easily across different computing environments, i.e., any computer hardware, infrastructure, or cloud environment.
How do I remote into a container? ›- Use docker ps to get the name of the existing container.
- Use the command docker exec -it <container name> /bin/bash to get a bash shell in the container.
- Generically, use docker exec -it <container name> <command> to execute whatever command you specify in the container.
- Pre-requisite: ...
- Listing the current context values. ...
- Run a new Docker container on Node 2. ...
- Listing the container. ...
- Setting the Environment Variable. ...
- Verify you configured variable. ...
- Configure SSH to trust the host. ...
- Connecting to Nodes with DOCKER_HOST.
The key differentiator between containers and virtual machines is that virtual machines virtualize an entire machine down to the hardware layers and containers only virtualize software layers above the operating system level.
Why do developers use containers? ›Containers allow applications to be more rapidly deployed, patched, or scaled. Containers support agile and DevOps efforts to accelerate development, test, and production cycles.
How to run Docker in Visual Studio code? ›Generating Docker files
You can add Docker files to your workspace by opening the Command Palette (Ctrl+Shift+P) and using Docker: Add Docker Files to Workspace command. The command will generate Dockerfile and . dockerignore files and add them to your workspace.
Developing inside a Docker container generally means starting a container and leaving it running, while you edit your source code. As you make changes, you see the changes appear in the container. To get your source code inside a container, you can use something called a bind mount.
How do I add a Docker container in Visual Studio? ›
- In Visual Studio, select Debug > Attach to Process (or CTRL+ALT+P) to open the Attach to Process dialog box.
- Set the Connection type to Docker (Windows Container).
- Select Find... to set the Connection target using the Select Docker Container dialog box.
- Create and open a new working folder with application code. ...
- Start the application. ...
- Update the requirements.txt file. ...
- Define the Docker container. ...
- Define the load balancer container. ...
- Run the app container using a specific network and IP address. ...
- Define the load balancer container.
- From the Toolbox tab. , drag the data container that you want to insert in the report.
- In the window that appears, type a name for the data container and a name for the query to be created for the container.
Types. Containers may be classified as either single-value containers or associative containers. Single-value containers store each object independently. Objects may be accessed directly, by a language loop construct (e.g. for loop) or with an iterator.
What are the three types of container classes? ›- Sequential Containers.
- Associative Containers.
- Unordered Containers.
Container is a software solution that wraps your software process or microservice to make it executable in all computing environments. In general, you can store all kinds of executable files in containers, for example, configuration files, software code, libraries, and binary programs.
What are the four container types in Python? ›The core built-in containers in Python are lists, tuples, dictionaries, and sets. The set-based comparison runs more than 20000 times faster than the list-based comparison (150 μs as compared to 3.05s), and the discrepancy will only grow as the problem size increases.
What are containers in Visual Basic? ›Containers are objects that encapsulate and track zero or more components. In this context, containment refers to logical containment, not visual containment.
How do I allow a remote connection to a docker container? ›...
Configuring remote access with systemd unit file
- Use the command sudo systemctl edit docker. ...
- Save the file.
- Reload the systemctl configuration. ...
- Restart Docker.
To attach to a Docker container, either select Dev Containers: Attach to Running Container... from the Command Palette (F1) or use the Remote Explorer in the Activity Bar and from the Containers view, select the Attach to Container inline action on the container you want to connect to.
Can I remote desktop into a docker container? ›
Nope. According to an answer, Windows Containers does not support RDP.
How to deploy remote Docker? ›- Manual deployment by copying project files, install docker-compose and running it. A common usage of Compose is to copy the project source with the docker-compose. ...
- Using DOCKER_HOST environment variable to set up the target engine. ...
- Using docker contexts.
- Dry Storage Container. Dry storage containers are among the most common shipping containers on the market. ...
- Flat Rack Container. Flat racks are another common type of shipping container. ...
- Refrigerated ISO Containers. ...
- Special Purpose Containers.
Containers are more lightweight than VMs, as their images are measured in megabytes rather than gigabytes. Containers require fewer IT resources to deploy, run, and manage. Containers spin up in milliseconds. Since their order of magnitude is smaller.
Where is container programming used? ›Containers are often used for: Running your application's dependencies - this is especially useful if you're a developer and you want to set up a development environment quickly. Creating repeatable, predictable build environments - you can compile your own programs inside a Docker container.
When should you use containers? ›1) If you're starting from scratch on a new application (or rewriting an existing app from the ground up), and you're committed to writing it around a microservices-based architecture then containers are a no brainer.
How do you use a container as a development environment? ›- Install the Visual Studio Code Dev Containers extension.
- Load and connect to a project in a Docker container.
- Access ports in the container from your local machine.
- Customize settings while working with your container.
- Add software to the container environment.
Right-click on the project node and choose Publish.... A screen showing deployment options appears. Choose Docker Container Registry, and then choose Docker Hub. Enter your Docker credentials.
What command is used to create and start a Docker container? ›Description. The docker run command first creates a writeable container layer over the specified image, and then starts it using the specified command. That is, docker run is equivalent to the API /containers/create then /containers/(id)/start .
Does Docker build create a container? ›Each line of your Dockerfile creates an intermediate container to execute the Dockerfile directive for that line.
How do I create a Docker container for a Python script? ›
- Step 1: Define a requirements file. Since we need the requests library for making an API call, let us define a requirements. ...
- Step 2: Create a Python script. ...
- Step 3: Define the Dockerfile. ...
- Step 4: Build and run the Docker container.
The key difference between a Docker image vs a container is that a Docker image is a template that defines how a container will be realized. A Docker container is a runtime instance of a Docker image.
What is an example of a container application? ›Kubernetes and Amazon Elastic Container Service (ECS) are examples of popular container orchestration tools.
Can I run any application in a container? ›With containers, you can take any app from development to production with little or no code change, thanks to Docker integration across Microsoft developer tools, operating systems, and the cloud.
Can you Containerize a desktop application? ›An application using RDP can't be containerized as-is. However, a good alternative is a remote management tool such as Windows Admin Center. You can use Windows Admin Center to manage Windows containers hosts, and the containers themselves, without the need to RDP into them.
Can you run a database in a container? ›If you're working on a small project, and are deploying to a single machine, it's completely okay to run your database in a Docker container. Be sure to mount a volume to make the data persistent, and have backup processes in place.
How do I run a container from the command line? ›To run a command in a certain directory of your container, use the --workdir flag to specify the directory: docker exec --workdir /tmp container-name pwd.
How to create a Docker file in VS Code? ›Generating Docker files
You can add Docker files to your workspace by opening the Command Palette (Ctrl+Shift+P) and using Docker: Add Docker Files to Workspace command. The command will generate Dockerfile and . dockerignore files and add them to your workspace.
- Run command palette Ctrl+Shift+P.
- Type Build Jar.
- In VS Code, select Terminal > New Terminal.
- In the terminal window or a Bash window, run this command. Bash Copy. ...
- In VS Code, select the Docker icon on the left to view the Docker extension. ...
- Right-click on docker/getting-started to open a context menu. ...
- Refresh your browser.
Can I run Visual Studio code in a Docker container? ›
The Visual Studio Code Dev Containers extension lets you use a Docker container as a full-featured development environment. It allows you to open any folder inside (or mounted into) a container and take advantage of Visual Studio Code's full feature set. A devcontainer.
How do I create a Docker container file? ›- Step 1: Create a Base Container. ...
- Step 2: Inspect Images. ...
- Step 3: Inspect Containers. ...
- Step 4: Start the Container. ...
- Step 5: Modify the Running Container. ...
- Step 6: Create an Image From a Container. ...
- Step 7: Tag the Image. ...
- Step 8: Create Images With Tags.
- Write a Dockerfile for your application.
- Build the image with docker build command.
- Host your Docker image on a registry.
- Pull and run the image on the target machine.
- Step 1: Define the application dependencies.
- Step 2: Create a Dockerfile.
- Step 3: Define services in a Compose file.
- Step 4: Build and run your app with Compose.
- Step 5: Edit the Compose file to add a bind mount.
- Step 6: Re-build and run the app with Compose.
- Step 7: Update the application.
By default, VS Code will reference all JAR files in workspace's lib directory using the glob pattern lib/**/*. jar .
How do I create a simple jar application? ›...
Using the Jar File wizard
- Click on Next to change the JAR packaging options.
- Click on Next to change the JAR Manifest specification.
- Click on Finish.
From within VS Code, you can create non-global environments, using virtual environments or Anaconda, by opening the Command Palette (Ctrl+Shift+P), start typing the Python: Create Environment command to search, and then select the command. The command presents a list of environment types: Venv or Conda.
How do you create a container application in detail? ›- Create a Dockerfile for a new container image based on a starter image from Docker Hub.
- Add files to an image using Dockerfile commands.
- Configure an image's startup command with Dockerfile commands.
- Build and run a web application packaged in a Docker image.