Jenkins-CI for Data Science Projects

Minimal example to setup a Jenkins-CI pipeline for data science projects on OpenShift in a couple of minutes. The goal is to have one CI/CI for each project so that we have no snowflakes.

Getting Started

0. Start Minishift with VirtualBox: minishift start --vm-driver=virtualbox
1. Create a new project:

oc new-project <project-name>

2. Deploy Jenkins:

oc new-app jenkins-persistent

3. Add custom Jenkins configuration for data science projects:

oc create -f config-map.yaml

4. Deploy example application and expose route:

git clone https://github.com/idealo/ds-example-project.git
cd ds-example-project
oc new-app -f build-config.yml \
    -p APPLICATION_NAME=ds-example-project \
    -p GIT_URL=https://github.com/idealo/ds-example-project.git
oc new-app -f deployment-config.yml \
    -p APPLICATION_NAME=ds-example-project
oc start-build ds-example-project-pipeline
oc expose svc/ds-example-project

Notes

• If you want to delete Jenkins and all the related resources then do:

oc delete all,configmaps,networkpolicy,rolebinding,serviceaccount -l app=jenkins-persistent

Requirements

• Minishift 1.17 / OpenShift 3.9
• VirutalBox 5.2

Copyright

See LICENSE for details.