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- You know the Artifactory docker repository URL where your desired image currently is or will be located
- Valid credentials with access to desired repository
Your machine where you will work with Docker.
Info It can be virtual machine, server, testbed, laptop, workstation - this is up to you and your possibilities.
Docker client installed on your testbed/workstation
infoyour machine according to TODO
- Proper connectivity from your machine to repository URL
Docker installation
There is
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multiple ways how to install docker client. You need to have sudo access on your machine to be able to setup Docker.
We recommend this:
on CentOS/Fedora
:Code Block sudo yum install docker -y
Oron Ubuntu
:Testbed accessCode Block sudo apt install docker -y
- Proper connectivity from your testbed/workstation to repository URL
- User has sudo/administrator access on testbed
For using docker without "sudo" user must be member of "docker" group on testbed to be able to utilize docker properly without need to type sudo all the time:
Code Block |
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sudo groupadd docker
sudo usermod -a -G docker $USER
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sudo |
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systemctl |
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restart docker
docker version |
Docker daemon unix socket is owned by root user, standard user cannot operate docker by default. However, docker daemon can be controlled by members of "docker" group, so we are utilising this
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possibility.
Login
To be able to work with private docker registry/repository, users must login first. More information can be found at https://docs.docker.com/engine/reference/commandline/login/
Code Block |
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docker login <REPOSITORY_URL> # Or with providing username to avoid asking username repeatedly docker login -u <USER_NAME> <REPOSITORY_URL> # Or with providing username and password to avoid asking credentials - do not use in shared environments as other users could be able to find your password in plaintext in command history docker login -u <USER_NAME> -p <USER_PASSWORD> <REPOSITORY_URL> |
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Code Block |
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docker run <REPOSITORY_KEY>.artifactory.shared.tds.CUSTOMERX.com/<IMAGE>:<TAG> |
Stopping container
Code Block |
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docker stop <CONTAINER> |
Other helpful commands
Clearing local docker data
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