Docker Machine − for running Docker machine commands. Docker Compose for running Docker compose commands. Kinematic − This is the Docker GUI built for Windows and Mac OS. Oracle virtualbox. Let’s now discuss the different types of activities that are possible with Docker toolbox. Running in Powershell. With Docker toolbox on Windows 10.
- Docker Tutorial
If you're a Mac or Windows user, the Docker Toolbox will install Docker Machine v0.16.2 for you, alongside the latest versions of the Docker Engine, Compose and Kitematic. Docker Desktop includes Docker App, developer tools, Kubernetes and version synchronization to production Docker Engines. Docker Desktop allows you to leverage certified images and templates and your choice of languages and tools. Development workflows leverage Docker Hub to extend your development environment to a secure repository for rapid. If you run into issues creating VMs, you may need to uninstall VirtualBox before re-installing the Docker Toolbox. The following list of components is included with this Toolbox release. If you have a previously installed version of Toolbox, these installers will update the components to these versions.
- Docker Useful Resources
Docker Toolbox Compose Version
- Selected Reading
In the introductory chapters, we have seen the installation of Docker toolbox on Windows. The Docker toolbox is developed so that Docker containers can be run on Windows and MacOS. The site for toolbox on Windows is https://docs.docker.com/docker-for-windows/
For Windows, you need to have Windows 10 or Windows Server 2016 with Hyper-V enabled.
The toolbox consists of the following components −
Docker Engine − This is used as the base engine or Docker daemon that is used to run Docker containers.
Docker Machine − for running Docker machine commands.
Docker Compose for running Docker compose commands.
Kinematic − This is the Docker GUI built for Windows and Mac OS.
Oracle virtualbox
Let’s now discuss the different types of activities that are possible with Docker toolbox.
Running in Powershell
With Docker toolbox on Windows 10, you can now run Docker commands off powershell. If you open powershell on Windows and type in the command of Docker version, you will get all the required details about the Docker version installed.
Pulling Images and Running Containers
You can also now pull Images from Docker Hub and run containers in powershell as you would do in Linux. The following example will show in brief the downloading of the Ubuntu image and running of the container off the image.
The first step is to use the Docker pull command to pull the Ubuntu image from Docker Hub.
The next step is to run the Docker image using the following run command −
You will notice that the command is the same as it was in Linux.
Kitematic
This is the GUI equivalent of Docker on Windows. To open this GUI, go to the taskbar and on the Docker icon, right-click and choose to open Kitematic.
It will prompt you to download Kitematic GUI. Once downloaded, just unzip the contents. There will be a file called Kitematic.exe. Double-click this exe file to open the GUI interface.
You will then be requested to log into Docker Hub, enter through the GUI. Just enter the required username and password and then click the Login button.
Once logged in, you will be able to see all the images downloaded on the system on the left-hand side of the interface.
On the right-hand side, you will find all the images available on Docker Hub.
Let’s take an example to understand how to download the Node image from Docker Hub using Kitematic.
Step 1 − Enter the keyword of node in the search criteria.
Step 2 − Click the create button on official Node image. You will then see the image being downloaded.
Once the image has been downloaded, it will then start running the Node container.
Step 3 − If you go to the settings tab, you can drill-down to further settings options, as shown below.
General settings − In this tab, you can name the container, change the path settings, and delete the container.
Ports − Here you can see the different port mappings. If you want, you can create your own port mappings.
Volumes − Here you can see the different volume mappings.
Advanced − It contains the advanced settings for the container.
Estimated reading time: 7 minutes
You can run Compose on macOS, Windows, and 64-bit Linux.
Prerequisites
Docker Compose relies on Docker Engine for any meaningful work, so make sure youhave Docker Engine installed either locally or remote, depending on your setup.
On desktop systems like Docker Desktop for Mac and Windows, Docker Compose isincluded as part of those desktop installs.
On Linux systems, first install theDocker Enginefor your OS as described on the Get Docker page, then come back here forinstructions on installing Compose onLinux systems.
To run Compose as a non-root user, see Manage Docker as a non-root user.
Install Compose
Follow the instructions below to install Compose on Mac, Windows, Windows Server2016, or Linux systems, or find out about alternatives like using the pip
Python package manager or installing Compose as a container.
Install a different version
The instructions below outline installation of the current stable release(v1.28.6) of Compose. To install a different version ofCompose, replace the given release number with the one that you want. Composereleases are also listed and available for direct download on theCompose repository release page on GitHub.To install a pre-release of Compose, refer to the install pre-release buildssection.
Install Compose on macOS
Docker Desktop for Mac includes Compose alongwith other Docker apps, so Mac users do not need to install Compose separately.For installation instructions, see Install Docker Desktop on Mac.
Install Compose on Windows desktop systems
Docker Desktop for Windows includes Composealong with other Docker apps, so most Windows users do not need toinstall Compose separately. For install instructions, see Install Docker Desktop on Windows.
If you are running the Docker daemon and client directly on MicrosoftWindows Server, follow the instructions in the Windows Server tab.
Install Compose on Windows Server
Follow these instructions if you are running the Docker daemon and client directlyon Microsoft Windows Server and want to install Docker Compose.
Start an “elevated” PowerShell (run it as administrator).Search for PowerShell, right-click, and chooseRun as administrator. When asked if you want to allow this appto make changes to your device, click Yes.
In PowerShell, since GitHub now requires TLS1.2, run the following:
Then run the following command to download the current stable release ofCompose (v1.28.6):
Note: On Windows Server 2019, you can add the Compose executable to $Env:ProgramFilesDocker
. Because this directory is registered in the system PATH
, you can run the docker-compose --version
command on the subsequent step with no additional configuration.
Test the installation.
Install Compose on Linux systems
On Linux, you can download the Docker Compose binary from theCompose repository release page on GitHub.Follow the instructions from the link, which involve running the curl
commandin your terminal to download the binaries. These step-by-step instructions arealso included below.
For alpine
, the following dependency packages are needed:py-pip
, python3-dev
, libffi-dev
, openssl-dev
, gcc
, libc-dev
, rust
, cargo
and make
.
Run this command to download the current stable release of Docker Compose:
To install a different version of Compose, substitute
1.28.6
with the version of Compose you want to use.If you have problems installing with
curl
, seeAlternative Install Options tab above.Apply executable permissions to the binary:
Note: If the command docker-compose
fails after installation, check your path.You can also create a symbolic link to /usr/bin
or any other directory in your path.
For example:
Optionally, install command completion for the
bash
andzsh
shell.Test the installation.
Alternative install options
Install using pip
For alpine
, the following dependency packages are needed:py-pip
, python3-dev
, libffi-dev
, openssl-dev
, gcc
, libc-dev
, rust
, cargo
, and make
.
Compose can be installed frompypi using pip
. If you installusing pip
, we recommend that you use avirtualenv because many operatingsystems have python system packages that conflict with docker-composedependencies. See the virtualenvtutorial to getstarted.
If you are not using virtualenv,
pip version 6.0 or greater is required.
Install as a container
Compose can also be run inside a container, from a small bash script wrapper. Toinstall compose as a container run this command:
Install pre-release builds
If you’re interested in trying out a pre-release build, you can download releasecandidates from the Compose repository release page on GitHub.Follow the instructions from the link, which involves running the curl
commandin your terminal to download the binaries.
Pre-releases built from the “master” branch are also available for download athttps://dl.bintray.com/docker-compose/master/.
Pre-release builds allow you to try out new features before they are released,but may be less stable.
Upgrading
If you’re upgrading from Compose 1.2 or earlier, remove ormigrate your existing containers after upgrading Compose. This is because, as ofversion 1.3, Compose uses Docker labels to keep track of containers, and yourcontainers need to be recreated to add the labels.
If Compose detects containers that were created without labels, it refusesto run, so that you don’t end up with two sets of them. If you want to keep usingyour existing containers (for example, because they have data volumes you wantto preserve), you can use Compose 1.5.x to migrate them with the followingcommand:
Alternatively, if you’re not worried about keeping them, you can remove them.Compose just creates new ones.
Uninstallation
To uninstall Docker Compose if you installed using curl
:
To uninstall Docker Compose if you installed using pip
:
Got a “Permission denied” error?
If you get a “Permission denied” error using either of the abovemethods, you probably do not have the proper permissions to removedocker-compose
. To force the removal, prepend sudo
to either of the abovecommands and run again.