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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:
Also see the full list of container features supported by ACI and full list of compose features supported by ACI.
To deploy Docker containers on Azure, you must meet the following requirements:
Download and install the latest version of Docker Desktop.
Alternatively, install the Docker Compose CLI for Linux.
Ensure you have an Azure subscription. You can get started with an Azure free account.
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. Also see the full list of container features supported by ACI.
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. If the Docker CLI cannot open a browser, it will fall back to the Azure device code flow and lets you connect manually. Note that the Azure command line login is separated from the Docker CLI Azure login.
Alternatively, you can log in without interaction (typically in
scripts or continuous integration scenarios), using an Azure Service
Principal, with
docker login azure --client-id xx --client-secret yy --tenant-id zz
Note
Logging in through the Azure Service Provider obtains an access token valid for a short period (typically 1h), but it does not allow you to automatically and transparently refresh this token. You must manually re-login when the access token has expired when logging in with a Service Provider.
You can also use the
--tenant-id
option alone to specify a tenant, if
you have several ones available in Azure.
After you have logged in, you need to create a Docker context associated with ACI to deploy containers in ACI.
Creating an ACI context requires an Azure subscription, a resource group, and a region.
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 donât have any existing resource groups in your Azure account, the
docker context create aci myacicontext
command creates one for you. You donât 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
Now that youâve 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 Nginx container:
$ docker context use myacicontext
$ docker run -p 80:80 nginx
After youâve switched to the
myacicontext
context, you can use
docker ps
to list your containers running on ACI.
In the case of the demonstration Nginx container started above, the result of the ps command will display in column âPORTSâ the IP address and port on which the container is running. For example, it may show
52.154.202.35:80->80/tcp
, and you can view the Nginx welcome page by browsing
http://52.154.202.35
.
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>
You can remove containers using
docker rm
. To remove a running container, you must use the
--force
flag, or stop the container using
docker stop
before removing it.
Note
The semantics of restarting a container on ACI are different to those when using a local Docker context for local development. On ACI, the container will be reset to its initial state and started on a new node. This includes the containerâs filesystem so all state that is not stored in a volume will be lost on restart.
You can also deploy and manage multi-container applications defined in Compose files to ACI using the
docker compose
command.
All containers in the same Compose application are started in the same container group. Service discovery between the containers works using the service name specified in the Compose file.
Name resolution between containers is achieved by writing service names in the
/etc/hosts
file that is shared automatically by all containers in the container group.
Also see the full list of compose features supported by ACI.
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 command
docker context use myacicontext
.
Run
docker compose up
and
docker 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
docker compose --file mycomposefile.yaml up
.
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.
Containers started as part of Compose applications will be displayed along with single containers when using
docker ps
. Their container ID will be of the format:
<COMPOSE-PROJECT>_<SERVICE>
.
These containers cannot be stopped, started, or removed independently since they are all part of the same ACI container group.
You can view each containerâs logs with
docker logs
. You can list deployed Compose applications with
docker compose ls
. This will list only compose applications, not single containers started with
docker run
. You can remove a Compose application with
docker compose down
.
Note
The current Docker Azure integration does not allow fetching a combined log stream from all the containers that make up the Compose application.
From a deployed Compose application, you can update the application by re-deploying it with the same project name:
docker compose --project-name PROJECT up
.
Updating an application means the ACI node will be reused, and the application will keep the same IP address that was previously allocated to expose ports, if any. ACI has some limitations on what can be updated in an existing application (you will not be able to change CPU/memory reservation for example), in these cases, you need to deploy a new application from scratch.
Updating is the default behavior if you invoke
docker compose up
on an already deployed Compose file, as the Compose project name is derived from the directory where the Compose file is located by default. You need to explicitly execute
docker compose down
before running
docker compose up
again in order to totally reset a Compose application.
Single containers and Compose applications can be removed from ACI with
the
docker prune
command. The
docker prune
command removes deployments
that are not currently running. To remove running depoyments, you can specify
--force
. The
--dry-run
option lists deployments that are planned for
removal, but it doesnât actually remove them.
$ ./bin/docker --context acicontext prune --dry-run --force
Resources that would be deleted:
my-application
Total CPUs reclaimed: 2.01, total memory reclaimed: 2.30 GB
Single containers and Compose applications can optionally expose ports.
For single containers, this is done using the
--publish
(
-p
) flag of the
docker run
command :
docker run -p 80:80 nginx
.
For Compose applications, you must specify exposed ports in the Compose file service definition:
services:
nginx:
image: nginx
ports:
- "80:80"
Note
ACI does not allow port mapping (that is, changing port number while exposing port). Therefore, the source and target ports must be the same when deploying to ACI.
All containers in the same Compose application are deployed in the same ACI container group. Different containers in the same Compose application cannot expose the same port when deployed to ACI.
By default, when exposing ports for your application, a random public IP address is associated with the container group supporting the deployed application (single container or Compose application).
This IP address can be obtained when listing containers with
docker ps
or using
docker inspect
.
In addition to exposing ports on a random IP address, you can specify a DNS label name to expose your application on an FQDN of the form:
<NAME>.region.azurecontainer.io
.
You can set this name with the
--domainname
flag when performing a
docker run
, or by using the
domainname
field in the Compose file when performing a
docker compose up
:
services:
nginx:
image: nginx
domainname: "myapp"
ports:
- "80:80"
Note
The domain of a Compose application can only be set once, if you specify the
domainname
for several services, the value must be identical.The FQDN
<DOMAINNAME>.region.azurecontainer.io
must be available.
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.
Using 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 as follows:
$ docker run -v mystorageaccount/myfileshare:/target/path myimage
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
Note
The volume short syntax in Compose files cannot be used as it is aimed at volume definition for local bind mounts. Using the volume driver and driver option syntax in Compose files makes the volume definition a lot more clear.
In single or multi-container deployments, the Docker CLI will use your Azure login to fetch the key to the storage account, and provide this key with the container deployment information, so that the container can access the volume.
Volumes can be used from any file share in any storage account you have access to with your Azure login. You can specify
rw
(read/write) or
ro
(read only) when mounting the volume (
rw
is the default).
To create a volume that you can use in containers or Compose applications when
using your ACI Docker context, you can use the
docker volume create
command,
and specify an Azure storage account name and the file share name:
$ docker --context aci volume create test-volume --storage-account mystorageaccount
[+] Running 2/2
â ¿ mystorageaccount Created 26.2s
â ¿ test-volume Created 0.9s
mystorageaccount/test-volume
By default, if the storage account does not already exist, this command creates a new storage account using the Standard LRS as a default SKU, and the resource group and location associated with your Docker ACI context.
If you specify an existing storage account, the command creates a new file share in the existing account:
$ docker --context aci volume create test-volume2 --storage-account mystorageaccount
[+] Running 2/2
â ¿ mystorageaccount Use existing 0.7s
â ¿ test-volume2 Created 0.7s
mystorageaccount/test-volume2
Alternatively, you can create an Azure storage account or a file share using the Azure
portal, or the
az
command line.
You can also list volumes that are available for use in containers or Compose applications:
$ docker --context aci volume ls
ID DESCRIPTION
mystorageaccount/test-volume Fileshare test-volume in mystorageaccount storage account
mystorageaccount/test-volume2 Fileshare test-volume2 in mystorageaccount storage account
To delete a volume and the corresponding Azure file share, use the
volume rm
command:
$ docker --context aci volume rm mystorageaccount/test-volume
mystorageaccount/test-volume
This permanently deletes the Azure file share and all its data.
When deleting a volume in Azure, the command checks whether the specified file share
is the only file share available in the storage account. If the storage account is
created with the
docker volume create
command,
docker volume rm
also
deletes the storage account when it does not have any file shares.
If you are using a storage account created without the
docker volume create
command
(through Azure portal or with the
az
command line for example),
docker volume rm
does not delete the storage account, even when it has zero remaining file shares.
When using
docker run
, you can pass the environment variables to ACI containers using the
--env
flag.
For Compose applications, you can specify the environment variables in the Compose file with the
environment
or
env-file
service field, or with the
--environment
command line flag.
You can specify a container health checks using either the
--healthcheck-
prefixed flags with
docker run
, or in a Compose file with the
healthcheck
section of the service.
Health checks are converted to ACI
LivenessProbe
s. ACI runs the health check command periodically, and if it fails, the container will be terminated.
Health checks must be used in addition to restart policies to ensure the container is then restarted on termination. The default restart policy for
docker run
is
no
which will not restart the container. The default restart policy for Compose is
any
which will always try restarting the service containers.
Example using
docker run
:
$ docker --context acicontext run -p 80:80 --restart always --health-cmd "curl http://localhost:80" --health-interval 3s nginx
Example using Compose files:
services:
web:
image: nginx
deploy:
restart_policy:
condition: on-failure
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:80"]
interval: 10s
You can deploy private images to ACI that are hosted by any container registry. You need to log into the relevant registry using
docker login
before running
docker run
or
docker compose up
. The Docker CLI will fetch your registry login for the deployed images and send the credentials along with the image deployment information to ACI.
In the case of the Azure Container Registry, the command line will try to automatically log you into ACR from your Azure login. You donât need to manually login to the ACR registry first, if your Azure login has access to the ACR.
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 wonât be any contention in container names or Compose application names between two Docker contexts.
The Docker Compose CLI adds support for running and managing containers on Azure Container Instances (ACI).
You can install the new CLI using the install script:
$ curl -L https://raw.githubusercontent.com/docker/compose-cli/main/scripts/install/install_linux.sh | sh
You can download the Docker ACI Integration CLI from the latest release 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
...
After you have installed the Docker ACI Integration CLI, run
--help
to see the current list of commands.
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
Thank you for trying out Docker Azure Integration. Your feedback is very important to us. Let us know your feedback by creating an issue in the compose-cli GitHub repository.