In some cases, our standard images library might not satisfy your requirements, or you might have an internal image you want to use for step execution or you may want to use our standard images library with specific settings. Using your own custom image gives you better control over what is installed on the runtime images. It can also speed up step execution since you can pre-install dependencies into the image.
You can configure a custom runtime image by using the configuration shown below. This can be specified at a pipeline or step level. If specified at both levels, the step configuration will take precedence.
pipelines: - name: pipe1 configuration: runtime: type: image image: custom: name: <string> # imageRepo/imageName format tag: <string> # version tag of the initial version of the Docker image options: "-e HOME=/root" # Docker options autoPull: <boolean> # default true; pulls image before run registry: <integration> # if custom image is private, an integration is required for authentication sourceRepository: <path> # may be required if registry is Artifactory. e.g. docker-local region: <string> # required if registry is AWS. e.g. us-east-1
Tag | Description |
---|---|
| This is the fully qualified name of the Docker image. |
| This is the Docker image tag you want to use. |
| This is any Docker option you want to use in the |
| This is an option to automatically pull the image to the machine running the step. Defaults to |
If your custom image is private, you will also need to create an integration with credentials for your Docker registry, and set additional values in the config:
Tag | Description |
---|---|
| This is the friendly name of your Docker registry integration. Supported integration types are Artifactory or JFrog Platform Access Token Integration , Docker Registry, AWS Keys, and Google Cloud. |
| The is not used with JFrog CLI v2. This is only needed if your Docker registry is Artifactory and the pipeline is configured to use JFrog CLI v1. It is the name of the Docker registry on Artifactory. |
| This is only required if your Docker registry is AWS ECR. |
Examples
Example 1
pipelines: - name: pipe1 configuration: runtime: type: image image: custom: name: docker/jfrog_win tag: latest options: "-e HOME=/root" autoPull: false registry: PSSG_DockerRegistry
Example 2 - Artifactory registry
pipelines: - name: pipe2 configuration: runtime: type: image image: custom: name: ubuntu tag: latest registry: myArtifactory sourceRepository: docker-local
Example 3 - AWS registry
pipelines: - name: pipe3 configuration: runtime: type: image_aws image: custom: name: 541601.dkr.ecr.us-east-1.amazonaws.com/jfbeta tag: latest autoPull: false registry: AWS region: us-east-1
Minimum Requirements for Linux
Any custom runtime image specified for a step that will run in a Linux host node (Ubuntu, CentOS, or RHEL) needs to include this minimum set of components:
bash
/proc/sys/kernel/random/uuid
sed
GNU grep
ssh
coreutils
date
mkdir
cp
mv
touch
seq
cat
basename (for users usingsend_notification (email)command)
rm
uniq (for users usingcompare_gitcommand)
split (for users usingencrypt_string,decrypt_string,encrypt_file,decrypt_filecommands)
jfrog (when using an Artifactory integration or in a native step)
jq
awk (for users usingcompare_gitcommand)
git (for users usingcompare_gitcommand or GitRepo resources))
gettext (for users usingreplace_envs,send_notification (email)commands)
envsubst
curl (for users usingsend_notificationcommand)
base64 (for users usingsend_notification (email),encrypt_string,decrypt_string,encrypt_file,decrypt_filecommands)
openssl (for users using encrypt_string,decrypt_string,encrypt_file,decrypt_file commands)
Minimum Requirements for Windows Server
Any custom runtime image specified for a step that will run in a Windows Server host node needs to include this minimum set of components:
PowerShell 5
jq (for users using replicate_resource or send_notification commands)
git (for users using compare_git command or GitRepo resources)
openssl (for users using encrypt_string, decrypt_string, encrypt_file, decrypt_file commands)