debian-mirror-gitlab/doc/ci/docker/using_docker_build.md

stage	group	info	type
Verify	Pipeline Execution	To determine the technical writer assigned to the Stage/Group associated with this page, see https://about.gitlab.com/handbook/engineering/ux/technical-writing/#assignments	concepts, howto

Use Docker to build Docker images

You can use GitLab CI/CD with Docker to create Docker images. For example, you can create a Docker image of your application, test it, and publish it to a container registry.

To run Docker commands in your CI/CD jobs, you must configure GitLab Runner to support docker commands.

Enable Docker commands in your CI/CD jobs

To enable Docker commands for your CI/CD jobs, you can use:

• The shell executor
• The Docker executor with the Docker image (Docker-in-Docker)
• Docker socket binding

If you don't want to execute a runner in privileged mode, but want to use docker build, you can also use kaniko.

If you are using shared runners on GitLab.com, learn more about how these runners are configured.

Use the shell executor

To include Docker commands in your CI/CD jobs, you can configure your runner to use the shell executor. In this configuration, the gitlab-runner user runs the Docker commands, but needs permission to do so.

1. Install GitLab Runner.

2. Register a runner. Select the shell executor. For example:

   sudo gitlab-runner register -n \
     --url https://gitlab.com/ \
     --registration-token REGISTRATION_TOKEN \
     --executor shell \
     --description "My Runner"
   

3. On the server where GitLab Runner is installed, install Docker Engine. View a list of supported platforms.

4. Add the gitlab-runner user to the docker group:

   sudo usermod -aG docker gitlab-runner
   

5. Verify that gitlab-runner has access to Docker:

   sudo -u gitlab-runner -H docker info
   

6. In GitLab, to verify that everything works, add docker info to .gitlab-ci.yml:

   before_script:
     - docker info
   
   build_image:
     script:
       - docker build -t my-docker-image .
       - docker run my-docker-image /script/to/run/tests
   

You can now use docker commands (and install docker-compose if needed).

When you add gitlab-runner to the docker group, you are effectively granting gitlab-runner full root permissions. Learn more about the security of the docker group.

Use the Docker executor with the Docker image (Docker-in-Docker)

"Docker-in-Docker" (dind) means:

• Your registered runner uses the Docker executor.
• The executor uses a container image of Docker, provided by Docker, to run your CI/CD jobs.

The Docker image has all of the docker tools installed and can run the job script in context of the image in privileged mode.

We recommend you use Docker-in-Docker with TLS enabled, which is supported by GitLab.com shared runners.

You should always specify a specific version of the image, like docker:19.03.12. If you use a tag like docker:stable, you have no control over which version is used. Unpredictable behavior can result, especially when new versions are released.

Limitations of Docker-in-Docker

Docker-in-Docker is the recommended configuration, but is not without its own challenges:

• The docker-compose command: This command is not available in this configuration by default. To use docker-compose in your job scripts, follow the docker-compose installation instructions.

• Cache: Each job runs in a new environment. Concurrent jobs work fine, because every build gets its own instance of Docker engine and they don't conflict with each other. However, jobs can be slower because there's no caching of layers.

• Storage drivers: By default, earlier versions of Docker use the vfs storage driver, which copies the file system for each job. Docker 17.09 and later use --storage-driver overlay2, which is the recommended storage driver. See Using the OverlayFS driver for details.

• Root file system: Because the docker:19.03.12-dind container and the runner container don't share their root file system, you can use the job's working directory as a mount point for child containers. For example, if you have files you want to share with a child container, you might create a subdirectory under /builds/$CI_PROJECT_PATH and use it as your mount point. For a more detailed explanation, view issue #41227.

  variables:
    MOUNT_POINT: /builds/$CI_PROJECT_PATH/mnt
  script:
    - mkdir -p "$MOUNT_POINT"
    - docker run -v "$MOUNT_POINT:/mnt" my-docker-image
  

Docker-in-Docker with TLS enabled

Introduced in GitLab Runner 11.11.

The Docker daemon supports connections over TLS. In Docker 19.03.12 and later, TLS is the default.

WARNING: This task enables --docker-privileged. When you do this, you are effectively disabling all of the security mechanisms of containers and exposing your host to privilege escalation. Doing this can lead to container breakout. For more information, see the official Docker documentation about runtime privilege and Linux capabilities.

To use Docker-in-Docker with TLS enabled:

1. Install GitLab Runner.

2. Register GitLab Runner from the command line. Use docker and privileged mode:

   sudo gitlab-runner register -n \
     --url https://gitlab.com/ \
     --registration-token REGISTRATION_TOKEN \
     --executor docker \
     --description "My Docker Runner" \
     --docker-image "docker:19.03.12" \
     --docker-privileged \
     --docker-volumes "/certs/client"
   

   • This command registers a new runner to use the docker:19.03.12 image. To start the build and service containers, it uses the privileged mode. If you want to use Docker-in-Docker, you must always use privileged = true in your Docker containers.
   • This command mounts /certs/client for the service and build container, which is needed for the Docker client to use the certificates in that directory. For more information on how Docker with TLS works, see https://hub.docker.com/_/docker/#tls.

   The previous command creates a config.toml entry similar to this:

   [[runners]]
     url = "https://gitlab.com/"
     token = TOKEN
     executor = "docker"
     [runners.docker]
       tls_verify = false
       image = "docker:19.03.12"
       privileged = true
       disable_cache = false
       volumes = ["/certs/client", "/cache"]
     [runners.cache]
       [runners.cache.s3]
       [runners.cache.gcs]
   

3. You can now use docker in the job script. Note the inclusion of the docker:19.03.12-dind service:

   image: docker:19.03.12
   
   variables:
     # When you use the dind service, you must instruct Docker to talk with
     # the daemon started inside of the service. The daemon is available
     # with a network connection instead of the default
     # /var/run/docker.sock socket. Docker 19.03 does this automatically
     # by setting the DOCKER_HOST in
     # https://github.com/docker-library/docker/blob/d45051476babc297257df490d22cbd806f1b11e4/19.03/docker-entrypoint.sh#L23-L29
     #
     # The 'docker' hostname is the alias of the service container as described at
     # https://docs.gitlab.com/ee/ci/docker/using_docker_images.html#accessing-the-services.
     #
     # Specify to Docker where to create the certificates. Docker
     # creates them automatically on boot, and creates
     # `/certs/client` to share between the service and job
     # container, thanks to volume mount from config.toml
     DOCKER_TLS_CERTDIR: "/certs"
   
   services:
     - docker:19.03.12-dind
   
   before_script:
     - docker info
   
   build:
     stage: build
     script:
       - docker build -t my-docker-image .
       - docker run my-docker-image /script/to/run/tests
   

Docker-in-Docker with TLS enabled in Kubernetes

Introduced in GitLab Runner Helm Chart 0.23.0.

To use Docker-in-Docker with TLS enabled in Kubernetes:

1. Using the Helm chart, update the values.yml file to specify a volume mount.

   runners:
     config: |
       [[runners]]
         [runners.kubernetes]
           image = "ubuntu:20.04"
           privileged = true
         [[runners.kubernetes.volumes.empty_dir]]
           name = "docker-certs"
           mount_path = "/certs/client"
           medium = "Memory"    
   

2. You can now use docker in the job script. Note the inclusion of the docker:19.03.13-dind service:

   image: docker:19.03.13
   
   variables:
     # When using dind service, you must instruct Docker to talk with
     # the daemon started inside of the service. The daemon is available
     # with a network connection instead of the default
     # /var/run/docker.sock socket.
     DOCKER_HOST: tcp://docker:2376
     #
     # The 'docker' hostname is the alias of the service container as described at
     # https://docs.gitlab.com/ee/ci/docker/using_docker_images.html#accessing-the-services.
     # If you're using GitLab Runner 12.7 or earlier with the Kubernetes executor and Kubernetes 1.6 or earlier,
     # the variable must be set to tcp://localhost:2376 because of how the
     # Kubernetes executor connects services to the job container
     # DOCKER_HOST: tcp://localhost:2376
     #
     # Specify to Docker where to create the certificates. Docker
     # creates them automatically on boot, and creates
     # `/certs/client` to share between the service and job
     # container, thanks to volume mount from config.toml
     DOCKER_TLS_CERTDIR: "/certs"
     # These are usually specified by the entrypoint, however the
     # Kubernetes executor doesn't run entrypoints
     # https://gitlab.com/gitlab-org/gitlab-runner/-/issues/4125
     DOCKER_TLS_VERIFY: 1
     DOCKER_CERT_PATH: "$DOCKER_TLS_CERTDIR/client"
   
   services:
     - docker:19.03.13-dind
   
   before_script:
     - docker info
   
   build:
     stage: build
     script:
       - docker build -t my-docker-image .
       - docker run my-docker-image /script/to/run/tests
   

Docker-in-Docker with TLS disabled

Sometimes you might have legitimate reasons to disable TLS. For example, you have no control over the GitLab Runner configuration that you are using.

Assuming that the runner's config.toml is similar to:

[[runners]]
  url = "https://gitlab.com/"
  token = TOKEN
  executor = "docker"
  [runners.docker]
    tls_verify = false
    image = "docker:19.03.12"
    privileged = true
    disable_cache = false
    volumes = ["/cache"]
  [runners.cache]
    [runners.cache.s3]
    [runners.cache.gcs]

You can now use docker in the job script. Note the inclusion of the docker:19.03.12-dind service:

image: docker:19.03.12

variables:
  # When using dind service, you must instruct docker to talk with the
  # daemon started inside of the service. The daemon is available with
  # a network connection instead of the default /var/run/docker.sock socket.
  #
  # The 'docker' hostname is the alias of the service container as described at
  # https://docs.gitlab.com/ee/ci/docker/using_docker_images.html#accessing-the-services
  #
  # If you're using GitLab Runner 12.7 or earlier with the Kubernetes executor and Kubernetes 1.6 or earlier,
  # the variable must be set to tcp://localhost:2375 because of how the
  # Kubernetes executor connects services to the job container
  # DOCKER_HOST: tcp://localhost:2375
  #
  DOCKER_HOST: tcp://docker:2375
  #
  # This instructs Docker not to start over TLS.
  DOCKER_TLS_CERTDIR: ""

services:
  - docker:19.03.12-dind

before_script:
  - docker info

build:
  stage: build
  script:
    - docker build -t my-docker-image .
    - docker run my-docker-image /script/to/run/tests

Use Docker socket binding

To use Docker commands in your CI/CD jobs, you can bind-mount /var/run/docker.sock into the container. Docker is then available in the context of the image.

NOTE: If you bind the Docker socket and you are using GitLab Runner 11.11 or later, you can no longer use docker:19.03.12-dind as a service. Volume bindings are done to the services as well, making these incompatible.

To make Docker available in the context of the image:

1. Install GitLab Runner.

2. From the command line, register a runner with the docker executor and share /var/run/docker.sock:

   sudo gitlab-runner register -n \
     --url https://gitlab.com/ \
     --registration-token REGISTRATION_TOKEN \
     --executor docker \
     --description "My Docker Runner" \
     --docker-image "docker:19.03.12" \
     --docker-volumes /var/run/docker.sock:/var/run/docker.sock
   

   This command registers a new runner to use the docker:19.03.12 image provided by Docker. The command uses the Docker daemon of the runner itself. Any containers spawned by Docker commands are siblings of the runner rather than children of the runner. This may have complications and limitations that are unsuitable for your workflow.

   Your config.toml file should now have an entry like this:

   [[runners]]
     url = "https://gitlab.com/"
     token = REGISTRATION_TOKEN
     executor = "docker"
     [runners.docker]
       tls_verify = false
       image = "docker:19.03.12"
       privileged = false
       disable_cache = false
       volumes = ["/var/run/docker.sock:/var/run/docker.sock", "/cache"]
     [runners.cache]
       Insecure = false
   

3. Use docker in the job script. You don't need to include the docker:19.03.12-dind service, like you do when you're using the Docker-in-Docker executor:

   image: docker:19.03.12
   
   before_script:
     - docker info
   
   build:
     stage: build
     script:
       - docker build -t my-docker-image .
       - docker run my-docker-image /script/to/run/tests
   

This method avoids using Docker in privileged mode. However, the implications of this method are:

• By sharing the Docker daemon, you are effectively disabling all the security mechanisms of containers and exposing your host to privilege escalation, which can lead to container breakout. For example, if a project ran docker rm -f $(docker ps -a -q) it would remove the GitLab Runner containers.

• Concurrent jobs may not work; if your tests create containers with specific names, they may conflict with each other.

• Sharing files and directories from the source repository into containers may not work as expected. Volume mounting is done in the context of the host machine, not the build container. For example:

  docker run --rm -t -i -v $(pwd)/src:/home/app/src test-image:latest run_app_tests
  

Enable registry mirror for docker:dind service

When the Docker daemon starts inside of the service container, it uses the default configuration. You may want to configure a registry mirror for performance improvements and to ensure you don't reach Docker Hub rate limits.

The service in the .gitlab-ci.yml file

You can append extra CLI flags to the dind service to set the registry mirror:

services:
  - name: docker:19.03.13-dind
    command: ["--registry-mirror", "https://registry-mirror.example.com"]  # Specify the registry mirror to use

The service in the GitLab Runner configuration file

Introduced in GitLab Runner 13.6.

If you are a GitLab Runner administrator, you can specify the command to configure the registry mirror for the Docker daemon. The dind service must be defined for the Docker or Kubernetes executor.

Docker:

[[runners]]
  ...
  executor = "docker"
  [runners.docker]
    ...
    privileged = true
    [[runners.docker.services]]
      name = "docker:19.03.13-dind"
      command = ["--registry-mirror", "https://registry-mirror.example.com"]

Kubernetes:

[[runners]]
  ...
  name = "kubernetes"
  [runners.kubernetes]
    ...
    privileged = true
    [[runners.kubernetes.services]]
      name = "docker:19.03.13-dind"
      command = ["--registry-mirror", "https://registry-mirror.example.com"]

The Docker executor in the GitLab Runner configuration file

If you are a GitLab Runner administrator, you can use the mirror for every dind service. Update the configuration to specify a volume mount.

For example, if you have a /opt/docker/daemon.json file with the following content:

{
  "registry-mirrors": [
    "https://registry-mirror.example.com"
  ]
}

Update the config.toml file to mount the file to /etc/docker/daemon.json. This would mount the file for every container that is created by GitLab Runner. The configuration is picked up by the dind service.

[[runners]]
  ...
  executor = "docker"
  [runners.docker]
    image = "alpine:3.12"
    privileged = true
    volumes = ["/opt/docker/daemon.json:/etc/docker/daemon.json:ro"]

The Kubernetes executor in the GitLab Runner configuration file

Introduced in GitLab Runner 13.6.

If you are a GitLab Runner administrator, you can use the mirror for every dind service. Update the configuration to specify a ConfigMap volume mount.

For example, if you have a /tmp/daemon.json file with the following content:

{
  "registry-mirrors": [
    "https://registry-mirror.example.com"
  ]
}

Create a ConfigMap with the content of this file. You can do this with a command like:

kubectl create configmap docker-daemon --namespace gitlab-runner --from-file /tmp/daemon.json

NOTE: Make sure to use the namespace that the GitLab Runner Kubernetes executor uses to create job pods in.

After the ConfigMap is created, you can update the config.toml file to mount the file to /etc/docker/daemon.json. This update mounts the file for every container that is created by GitLab Runner. The configuration is picked up by the dind service.

[[runners]]
  ...
  executor = "kubernetes"
  [runners.kubernetes]
    image = "alpine:3.12"
    privileged = true
    [[runners.kubernetes.volumes.config_map]]
      name = "docker-daemon"
      mount_path = "/etc/docker/daemon.json"
      sub_path = "daemon.json"

Authenticate with registry in Docker-in-Docker

When you use Docker-in-Docker, the standard authentication methods don't work because a fresh Docker daemon is started with the service.

Option 1: Run docker login

In before_script, run docker login:

image: docker:19.03.13

variables:
  DOCKER_TLS_CERTDIR: "/certs"

services:
  - docker:19.03.13-dind

build:
  stage: build
  before_script:
    - echo "$DOCKER_REGISTRY_PASS" | docker login $DOCKER_REGISTRY --username $DOCKER_REGISTRY_USER --password-stdin
  script:
    - docker build -t my-docker-image .
    - docker run my-docker-image /script/to/run/tests

To log in to Docker Hub, leave $DOCKER_REGISTRY empty or remove it.

Option 2: Mount ~/.docker/config.json on each job

If you are an administrator for GitLab Runner, you can mount a file with the authentication configuration to ~/.docker/config.json. Then every job that the runner picks up is authenticated already. If you are using the official docker:19.03.13 image, the home directory is under /root.

If you mount the configuration file, any docker command that modifies the ~/.docker/config.json fails. For example, docker login fails, because the file is mounted as read-only. Do not change it from read-only, because problems occur.

Here is an example of /opt/.docker/config.json that follows the DOCKER_AUTH_CONFIG documentation:

{
    "auths": {
        "https://index.docker.io/v1/": {
            "auth": "bXlfdXNlcm5hbWU6bXlfcGFzc3dvcmQ="
        }
    }
}

Docker

Update the volume mounts to include the file.

[[runners]]
  ...
  executor = "docker"
  [runners.docker]
    ...
    privileged = true
    volumes = ["/opt/.docker/config.json:/root/.docker/config.json:ro"]

Kubernetes

Create a ConfigMap with the content of this file. You can do this with a command like:

kubectl create configmap docker-client-config --namespace gitlab-runner --from-file /opt/.docker/config.json

Update the volume mounts to include the file.

[[runners]]
  ...
  executor = "kubernetes"
  [runners.kubernetes]
    image = "alpine:3.12"
    privileged = true
    [[runners.kubernetes.volumes.config_map]]
      name = "docker-client-config"
      mount_path = "/root/.docker/config.json"
      # If you are running GitLab Runner 13.5
      # or lower you can remove this
      sub_path = "config.json"

Option 3: Use DOCKER_AUTH_CONFIG

If you already have DOCKER_AUTH_CONFIG defined, you can use the variable and save it in ~/.docker/config.json.

There are multiple ways to define this authentication:

• In pre_build_script in the runner configuration file.
• In before_script.
• In script.

The following example shows before_script. The same commands apply for any solution you implement.

image: docker:19.03.13

variables:
  DOCKER_TLS_CERTDIR: "/certs"

services:
  - docker:19.03.13-dind

build:
  stage: build
  before_script:
    - mkdir -p $HOME/.docker
    - echo $DOCKER_AUTH_CONFIG > $HOME/.docker/config.json
  script:
    - docker build -t my-docker-image .
    - docker run my-docker-image /script/to/run/tests

Make Docker-in-Docker builds faster with Docker layer caching

When using Docker-in-Docker, Docker downloads all layers of your image every time you create a build. Recent versions of Docker (Docker 1.13 and later) can use a pre-existing image as a cache during the docker build step. This considerably speeds up the build process.

How Docker caching works

When running docker build, each command in Dockerfile results in a layer. These layers are kept around as a cache and can be reused if there haven't been any changes. Change in one layer causes all subsequent layers to be recreated.

You can specify a tagged image to be used as a cache source for the docker build command by using the --cache-from argument. Multiple images can be specified as a cache source by using multiple --cache-from arguments. Any image that's used with the --cache-from argument must first be pulled (using docker pull) before it can be used as a cache source.

Docker caching example

Here's a .gitlab-ci.yml file that shows how to use Docker caching:

image: docker:19.03.12

services:
  - docker:19.03.12-dind

variables:
  # Use TLS https://docs.gitlab.com/ee/ci/docker/using_docker_build.html#tls-enabled
  DOCKER_HOST: tcp://docker:2376
  DOCKER_TLS_CERTDIR: "/certs"

before_script:
  - docker login -u $CI_REGISTRY_USER -p $CI_REGISTRY_PASSWORD $CI_REGISTRY

build:
  stage: build
  script:
    - docker pull $CI_REGISTRY_IMAGE:latest || true
    - docker build --cache-from $CI_REGISTRY_IMAGE:latest --tag $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA --tag $CI_REGISTRY_IMAGE:latest .
    - docker push $CI_REGISTRY_IMAGE:$CI_COMMIT_SHA
    - docker push $CI_REGISTRY_IMAGE:latest

In the script section for the build stage:

1. The first command tries to pull the image from the registry so that it can be used as a cache for the docker build command.
2. The second command builds a Docker image by using the pulled image as a cache (see the --cache-from $CI_REGISTRY_IMAGE:latest argument) if available, and tags it.
3. The last two commands push the tagged Docker images to the container registry so that they may also be used as cache for subsequent builds.

Use the OverlayFS driver

NOTE: The shared runners on GitLab.com use the overlay2 driver by default.

By default, when using docker:dind, Docker uses the vfs storage driver which copies the file system on every run. This is a disk-intensive operation which can be avoided if a different driver is used, for example overlay2.

Requirements

1. Make sure a recent kernel is used, preferably >= 4.2.

2. Check whether the overlay module is loaded:

   sudo lsmod | grep overlay
   

   If you see no result, then it isn't loaded. To load it use:

   sudo modprobe overlay
   

   If everything went fine, you need to make sure module is loaded on reboot. On Ubuntu systems, this is done by editing /etc/modules. Just add the following line into it:

   overlay
   

Use the OverlayFS driver per project

You can enable the driver for each project individually by using the DOCKER_DRIVER CI/CD variable in .gitlab-ci.yml:

variables:
  DOCKER_DRIVER: overlay2

Use the OverlayFS driver for every project

If you use your own runners, you can enable the driver for every project by setting the DOCKER_DRIVER environment variable in the [[runners]] section of the config.toml file:

environment = ["DOCKER_DRIVER=overlay2"]

If you're running multiple runners, you have to modify all configuration files.

Read more about the runner configuration and using the OverlayFS storage driver.

Use the GitLab Container Registry

After you've built a Docker image, you can push it up to the built-in GitLab Container Registry.

Troubleshooting

docker: Cannot connect to the Docker daemon at tcp://docker:2375. Is the docker daemon running?

This is a common error when you are using Docker-in-Docker v19.03 or later.

This issue occurs because Docker starts on TLS automatically.

• If this is your first time setting it up, read use the Docker executor with the Docker image.
• If you are upgrading from v18.09 or earlier, read our upgrade guide.