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title | description | keywords | toc_min | toc_max |
---|---|---|---|---|
Deploying Docker containers on Azure | Deploying Docker containers on Azure | Docker, Azure, Integration, ACI, context, Compose, cli, deploy, containers, cloud | 1 | 2 |
Overview
The Docker Azure Integration enables developers to use native Docker commands to run applications in Azure Container Instances (ACI) when building cloud-native applications. The new experience provides a tight integration between Docker Desktop and Microsoft Azure allowing developers to quickly run applications using the Docker CLI or VS Code extension, to switch seamlessly from local development to cloud deployment.
In addition, the integration between Docker and Microsoft developer technologies allow developers to use the Docker CLI to:
- Easily log into Azure
- Set up an ACI context in one Docker command allowing you to switch from a local context to a cloud context and run applications quickly and easily
- Simplify single container and multi-container application development using the Compose specification, allowing a developer to invoke fully Docker-compatible commands seamlessly for the first time natively within a cloud container service
Note
Docker Azure Integration is currently a beta release. The commands and flags are subject to change in subsequent releases. {:.important}
Prerequisites
To deploy Docker containers on Azure, you must meet the following requirements:
-
Download and install Docker Desktop Edge version 2.3.2.0 or later.
- Download for Mac{: target="blank" class=""}
- Download for Windows{: target="blank" class=""}
Alternatively, install the Docker ACI Integration for Linux.
-
Ensure you have an Azure subscription. You can get started with an Azure free account{: target="blank" class=""}.
Run Docker containers on ACI
Docker not only runs containers locally, but also enables developers to seamlessly deploy Docker containers on ACI using docker run
or deploy multi-container applications defined in a Compose file using the docker compose up
command.
The following sections contain instructions on how to deploy your Docker containers on ACI.
Log into Azure
Run the following commands to log into Azure:
docker login azure
This opens your web browser and prompts you to enter your Azure login credentials.
Create an ACI context
After you have logged in, you need to create a Docker context associated with ACI to deploy containers in ACI. For example, let us create a new context called myacicontext
:
docker context create aci myacicontext
This command automatically uses your Azure login credentials to identify your subscription IDs and resource groups. You can then interactively select the subscription and group that you would like to use. If you prefer, you can specify these options in the CLI using the following flags: --subscription-id
,
--resource-group
, and --location
.
If you don't have any existing resource groups in your Azure account, the docker context create aci myacicontext
command creates one for you. You don’t have to specify any additional options to do this.
After you have created an ACI context, you can list your Docker contexts by running the docker context ls
command:
NAME TYPE DESCRIPTION DOCKER ENDPOINT KUBERNETES ENDPOINT ORCHESTRATOR
myacicontext aci myResourceGroupGTA@eastus
default * moby Current DOCKER_HOST based configuration unix:///var/run/docker.sock swarm
Note
If you need to change the subscription and create a new context, you must execute the
docker login azure
command again.
Run a container
Now that you've logged in and created an ACI context, you can start using Docker commands to deploy containers on ACI.
There are two ways to use your new ACI context. You can use the --context
flag with the Docker command to specify that you would like to run the command using your newly created ACI context.
docker --context myacicontext run -p 80:80 nginx
Or, you can change context using docker context use
to select the ACI context to be your focus for running Docker commands. For example, we can use the docker context use
command to deploy an ngnix container:
docker context use myacicontext
docker run -p 80:80 nginx
After you've switched to the myacicontext
context, you can use docker ps to list your containers running on ACI.
To view logs from your container, run:
docker logs <CONTAINER_ID>
To execute a command in a running container, run:
docker exec -t <CONTAINER_ID> COMMAND
To stop and remove a container from ACI, run:
docker stop <CONTAINER_ID>
docker rm <CONTAINER_ID>
Note
The stop command in ACI differs from the Moby stop command as a stopped container will not retain its state when it is started again. For more information, see https://github.com/docker/aci-integration-beta/issues/28.
Running Compose applications
You can also deploy and manage multi-container applications defined in Compose files to ACI using the docker compose
command. To do this:
-
Ensure you are using your ACI context. You can do this either by specifying the
--context myacicontext
flag or by setting the default context using the commanddocker context use myacicontext
. -
Run
docker compose up
anddocker compose down
to start and then stop a full Compose application.
By default, docker compose up
uses the docker-compose.yaml
file in the current folder. You can specify the working directory using the --workdir flag or specify the Compose file directly using the --file
flag.
You can also specify a name for the Compose application using the --project-name
flag during deployment. If no name is specified, a name will be derived from the working directory.
You can view logs from containers that are part of the Compose application using the command docker logs <CONTAINER_ID>
. To know the container ID, run docker ps
.
Note
The current Docker Azure integration does not allow fetching a combined log stream from all the containers that make up the Compose application.
Using Azure file share as volumes in ACI containers
You can deploy containers or compose applications that use persistent data stored in volumes. Azure File Share can be used to support volumes for ACI containers.
With an existing Azure File Share, with storage account name mystorageaccount
and file share name myfileshare
, you can specify a volume in your deployment run
command like this:
docker run -v storageaccount@fileshare:/target/path myimage
and the runtime container will see the file share content in /target/path
.
In a compose application, the volume specification must use the following syntax in the compose file:
myservice:
image: nginx
volumes:
- mydata:/mount/testvolumes
volumes:
mydata:
driver: azure_file
driver_opts:
share_name: myfileshare
storage_account_name: mystorageaccount
For Now, you need to create an Azure storage account and File Share using the Azure portal, or the az
command line
The key to the azure storage account will be automatically fetched from your Azure login, when you deploy a single container or a compose application.
Using ACI resource groups as namespaces
You can create several Docker contexts associated with ACI. Each context must be associated with a unique Azure resource group. This allows you to use Docker contexts as namespaces. You can switch between namespaces using docker context use <CONTEXT>
.
When you run the docker ps
command, it only lists containers in your current Docker context. There won’t be any contention in container names or Compose application names between two Docker contexts.
Install the Docker ACI Integration CLI on Linux
The Docker ACI Integration CLI adds support for running and managing containers on Azure Container Instances (ACI).
Note
Docker Azure Integration is a beta release. The installation process, commands, and flags will change in future releases. {:.important}
Prerequisites
Install script
You can install the new CLI using the install script:
curl -L https://raw.githubusercontent.com/docker/aci-integration-beta/main/scripts/install_linux.sh | sh
Manual install
You can download the Docker ACI Integration CLI from the latest release{: target="blank" class=""} page.
You will then need to make it executable:
chmod +x docker-aci
To enable using the local Docker Engine and to use existing Docker contexts, you
must have the existing Docker CLI as com.docker.cli
somewhere in your
PATH
. You can do this by creating a symbolic link from the existing Docker
CLI:
ln -s /path/to/existing/docker /directory/in/PATH/com.docker.cli
Note
The
PATH
environment variable is a colon-separated list of directories with priority from left to right. You can view it usingecho $PATH
. You can find the path to the existing Docker CLI usingwhich docker
. You may need root permissions to make this link.
On a fresh install of Ubuntu 20.04 with Docker Engine already installed:
$ echo $PATH
/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
$ which docker
/usr/bin/docker
$ sudo ln -s /usr/bin/docker /usr/local/bin/com.docker.cli
You can verify that this is working by checking that the new CLI works with the default context:
$ ./docker-aci --context default ps
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
$ echo $?
0
To make this CLI with ACI integration your default Docker CLI, you must move it
to a directory in your PATH
with higher priority than the existing Docker CLI.
Again, on a fresh Ubuntu 20.04:
$ which docker
/usr/bin/docker
$ echo $PATH
/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin
$ sudo mv docker-aci /usr/local/bin/docker
$ which docker
/usr/local/bin/docker
$ docker version
...
Azure integration 0.1.4
...
Supported commands
After you have installed the Docker ACI Integration CLI, run --help
to see the current list of commands.
Note
Docker Azure Integration is a beta release. The commands and flags will change in future releases. {:.important}
Uninstall
To remove the Docker Azure Integration CLI, you need to remove the binary you downloaded and com.docker.cli
from your PATH
. If you installed using the script, this can be done as follows:
sudo rm /usr/local/bin/docker /usr/local/bin/com.docker.cli
Feedback
Thank you for trying out the Docker Azure Integration beta release. Your feedback is very important to us. Let us know your feedback by creating an issue in the aci-integration-beta{: target="blank" class=""} GitHub repository.