Artifactory on Docker

Running Artifactory as a container is simple and straightforward, and involves the following basic steps:

• Pulling the Artifactory Docker Image
• Running the Artifactory Container 

Since the Artifactory instance running in a Docker container is mutable, all data and configuration files will be lost once the container is removed. If you want your data to persist (for example when upgrading to a new version), you should also follow the next step.

• Managing Data Persistence

Pulling the Artifactory Docker Image

The Artifactory Docker image may be pulled from Bintray by executing the corresponding Docker command below depending on whether you are pulling Artifactory OSS or Artifactory Pro:

docker pull docker.bintray.io/jfrog/artifactory-pro:latest

or

docker pull docker.bintray.io/jfrog/artifactory-oss:latest

Running an Artifactory Container

You can list the Docker images you have downloaded using the docker images command, which should display something like the following output:

$ docker images
 
REPOSITORY                                 TAG                 IMAGE ID            CREATED             SIZE
docker.bintray.io/jfrog/artifactory-pro    latest 		       da70b82904e7        2 days ago          861.5 MB
...

To start an Artifactory container, use the corresponding command below according to whether you are running Artifactory Pro or Artifactory OSS:

$ docker run --name artifactory -d -p 8081:8081 docker.bintray.io/jfrog/artifactory-pro:latest    

or

$ docker run --name artifactory -d -p 8081:8081 docker.bintray.io/jfrog/artifactory-oss:latest    

Managing Data Persistence

For your data and configuration to remain once the Artifactory Docker container is removed, you need to store them on an external volume mounted to the Docker container. There are two ways to do this:

• Using Host Directories
• Using a Docker Named Volume

Using Host Directories

The external volume is a directory in your host's file system (such as /var/opt/jfrog/artifactory). When you pass this to the docker run command, the Artifactory process will use it to read configuration and store its data.

To mount the above example, you would use the following command:

$ docker run --name artifactory-pro -d -v /var/opt/jfrog/artifactory:/var/opt/jfrog/artifactory -p 8081:8081 docker.bintray.io/jfrog/artifactory-pro:latest

This mounts the /var/opt/jfrog/artifactory directory on your host machine to the container's /var/opt/jfrog/artifactory and will then be used by Artifactory for configuration and data.

Using a Docker Named Volume

In this case, you create a docker named volume and pass it to the container. By default, the named volume is a local directory under /var/lib/docker/volumes/<name>, but can be set to work with other locations. For more details, please refer to the Docker documentation for .

The example below creates a Docker named volume called artifactory_data and mounts it to the Artifactory container under /var/opt/jfrog/artifactory:

$ docker volume create --name artifactory5_data
$ docker run --name artifactory-pro -d -v artifactory5_data:/var/opt/jfrog/artifactory -p 8081:8081 docker.bintray.io/jfrog/artifactory-pro:latest

In this case, even if the container is stopped and removed, the volume persists and can be attached to a new running container using the above docker run command. 

Upgrading Artifactory

For details on how to upgrade Artifactory running in a Docker container, please refer to Running in a Docker Container in the Upgrading Artifactory page.  

Running Artifactory With a Different Database

By default, Artifactory runs with an embedded Derby Database that comes built-in, however, Artifactory supports additional databases. To switch to one of the other supported databases, please refer to Changing the Database. 

Building Artifactory OSS From Sources

The Artifactory OSS Docker image sources are available for download allowing you to build the image yourself. For details, please refer to Building Artifactory OSS. 

Accessing Artifactory

Once the Artifactory container is up and running, you access Artifactory in the usual way by browsing to: 

http://SERVER_DOMAIN:8081/artifactory

For example, if you are testing on your local machine you would use:  http://localhost:8081/artifactory

Troubleshooting Docker

This section describes different ways you can troubleshoot a running or stopped Docker container that is not functioning as expected.

Container State

The docker ps command lists containers in your system.

$ docker ps     # Lists running containers
$ docker ps -a  # Lists all containers

Logs

Artifactory logs are stored in the Artifactory container under /var/opt/jfrog/artifactory/logs.

If you ran the container with a mounted volume for Artifactory data (/var/opt/jfrog/artifactory/), you can also access the logs locally on your host.

An easy way to see the logged output of a running container is through the docker logs command

$ docker logs <container name>

This will output all of the container's STDOUT and STDERR to the screen both for running and stopped containers.

Connect to a Running Container

You can connect to a running container's file system and open an interactive command prompt in the container with the docker exec command

$ docker exec -it <container name> /bin/bash

This will open a command prompt in the running Artifactory container, logging you in as root and placing you in the / directory.

Run an Alternate Entrypoint 

There are cases where you want to run the container, but not start up Artifactory. To do this, you need to override the configured entrypoint script using docker run --entrypoint=bash

$ docker run -it --entrypoint=/bin/bash -v /var/opt/jfrog/artifactory:/var/opt/jfrog/artifactory -p 8081:8018 docker.bintray.io/jfrog/artifactory-pro:latest

This will run the container, presenting you with a prompt in the container, but without executing the /entrypoint-artifactory.sh file.

You can then make changes to the container configuration execute /entrypoint-artifactory.sh to start up Artifactory in your container.

Watch the Screencast

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