gitlab-org--gitlab-foss/doc/user/project/container_registry.md

GitLab Container Registry

Introduced in GitLab 8.8.

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Notes:

• Docker Registry manifest v1 support was added in GitLab 8.9 to support Docker versions earlier than 1.10.
• This document is about the user guide. To learn how to enable GitLab Container Registry across your GitLab instance, visit the administrator documentation.
• Starting from GitLab 8.12, if you have 2FA enabled in your account, you need to pass a personal access token instead of your password in order to login to GitLab's Container Registry.

With the Docker Container Registry integrated into GitLab, every project can have its own space to store its Docker images.

You can read more about Docker Registry at https://docs.docker.com/registry/introduction/.

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Enable the Container Registry for your project

1. First, ask your system administrator to enable GitLab Container Registry following the administration documentation. If you are using GitLab.com, this is enabled by default so you can start using the Registry immediately.

2. Go to your project's settings and enable the Container Registry feature on your project. For new projects this might be enabled by default. For existing projects (prior GitLab 8.8), you will have to explicitly enable it.

   

3. Hit Save changes for the changes to take effect. You should now be able to see the Registry link in the project menu.

   

Build and push images

If you visit the Registry link under your project's menu, you can see the explicit instructions to login to the Container Registry using your GitLab credentials.

For example if the Registry's URL is registry.example.com, the you should be able to login with:

docker login registry.example.com

Building and publishing images should be a straightforward process. Just make sure that you are using the Registry URL with the namespace and project name that is hosted on GitLab:

docker build -t registry.example.com/group/project .
docker push registry.example.com/group/project

Your image will be named after the following scheme:

<registry URL>/<namespace>/<project>

As such, the name of the image is unique, but you can differentiate the images using tags.

Use images from GitLab Container Registry

To download and run a container from images hosted in GitLab Container Registry, use docker run:

docker run [options] registry.example.com/group/project [arguments]

For more information on running Docker containers, visit the Docker documentation.

Control Container Registry from within GitLab

GitLab offers a simple Container Registry management panel. Go to your project and click Registry in the project menu.

This view will show you all tags in your project and will easily allow you to delete them.

Build and push images using GitLab CI

Note: This feature requires GitLab 8.8 and GitLab Runner 1.2.

Make sure that your GitLab Runner is configured to allow building Docker images by following the Using Docker Build and Using the GitLab Container Registry documentation.

Limitations

In order to use a container image from your private project as an image: in your .gitlab-ci.yml, you have to follow the Using a private Docker Registry documentation. This workflow will be simplified in the future.

Troubleshooting the GitLab Container Registry

Basic Troubleshooting

1. Check to make sure that the system clock on your Docker client and GitLab server have been synchronized (e.g. via NTP).

2. If you are using an S3-backed Registry, double check that the IAM permissions and the S3 credentials (including region) are correct. See the sample IAM policy for more details.

3. Check the Registry logs (e.g. /var/log/gitlab/registry/current) and the GitLab production logs for errors (e.g. /var/log/gitlab/gitlab-rails/production.log). You may be able to find clues there.

Advanced Troubleshooting

NOTE: The following section is only recommended for experts.

Sometimes it's not obvious what is wrong, and you may need to dive deeper into the communication between the Docker client and the Registry to find out what's wrong. We will use a concrete example in the past to illustrate how to diagnose a problem with the S3 setup.

Unexpected 403 error during push

A user attempted to enable an S3-backed Registry. The docker login step went fine. However, when pushing an image, the output showed:

The push refers to a repository [s3-testing.myregistry.com:4567/root/docker-test]
dc5e59c14160: Pushing [==================================================>] 14.85 kB
03c20c1a019a: Pushing [==================================================>] 2.048 kB
a08f14ef632e: Pushing [==================================================>] 2.048 kB
228950524c88: Pushing 2.048 kB
6a8ecde4cc03: Pushing [==>                                                ] 9.901 MB/205.7 MB
5f70bf18a086: Pushing 1.024 kB
737f40e80b7f: Waiting
82b57dbc5385: Waiting
19429b698a22: Waiting
9436069b92a3: Waiting
error parsing HTTP 403 response body: unexpected end of JSON input: ""

This error is ambiguous, as it's not clear whether the 403 is coming from the GitLab Rails application, the Docker Registry, or something else. In this case, since we know that since the login succeeded, we probably need to look at the communication between the client and the Registry.

The REST API between the Docker client and Registry is described here. Normally, one would just use Wireshark or tcpdump to capture the traffic and see where things went wrong. However, since all communication between Docker clients and servers are done over HTTPS, it's a bit difficult to decrypt the traffic quickly even if you know the private key. What can we do instead?

One way would be to disable HTTPS by setting up an insecure Registry. This could introduce a security hole and is only recommended for local testing. If you have a production system and can't or don't want to do this, there is another way: use mitmproxy, which stands for Man-in-the-Middle Proxy.

mitmproxy

mitmproxy allows you to place a proxy between your client and server to inspect all traffic. One wrinkle is that your system needs to trust the mitmproxy SSL certificates for this to work.

The following installation instructions assume you are running Ubuntu:

1. Install mitmproxy (see http://docs.mitmproxy.org/en/stable/install.html)

2. Run mitmproxy --port 9000 to generate its certificates. Enter CTRL-C to quit.

3. Install the certificate from ~/.mitmproxy to your system:

   sudo cp ~/.mitmproxy/mitmproxy-ca-cert.pem /usr/local/share/ca-certificates/mitmproxy-ca-cert.crt
   sudo update-ca-certificates
   

If successful, the output should indicate that a certificate was added:

Updating certificates in /etc/ssl/certs... 1 added, 0 removed; done.
Running hooks in /etc/ca-certificates/update.d....done.

To verify that the certificates are properly installed, run:

mitmproxy --port 9000

This will run mitmproxy on port 9000. In another window, run:

curl --proxy http://localhost:9000 https://httpbin.org/status/200

If everything is setup correctly, you will see information on the mitmproxy window and no errors from the curl commands.

Running the Docker daemon with a proxy

For Docker to connect through a proxy, you must start the Docker daemon with the proper environment variables. The easiest way is to shutdown Docker (e.g. sudo initctl stop docker) and then run Docker by hand. As root, run:

export HTTP_PROXY="http://localhost:9000"
export HTTPS_PROXY="https://localhost:9000"
docker daemon --debug

This will launch the Docker daemon and proxy all connections through mitmproxy.

Running the Docker client

Now that we have mitmproxy and Docker running, we can attempt to login and push a container image. You may need to run as root to do this. For example:

docker login s3-testing.myregistry.com:4567
docker push s3-testing.myregistry.com:4567/root/docker-test

In the example above, we see the following trace on the mitmproxy window:

The above image shows:

• The initial PUT requests went through fine with a 201 status code.
• The 201 redirected the client to the S3 bucket.
• The HEAD request to the AWS bucket reported a 403 Unauthorized.

What does this mean? This strongly suggests that the S3 user does not have the right permissions to perform a HEAD request. The solution: check the IAM permissions again. Once the right permissions were set, the error will go away.