Build a Docker Image on GCP
Building Docker images from a Jupyter notebook and submitting them to Container Registry
If you’re using a Jupyter notebook in Kubeflow on Google Cloud Platform(GCP), you can submit Docker image builds toCloud Build. Cloud Build buildsthe Docker image and pushes it toGoogle Container Registry.
Building a Docker image
Run the following command in a Jupyter notebook cell to activate the attachedservice account:
!gcloud auth activate-service-account --key-file=${GOOGLE_APPLICATION_CREDENTIALS}
Run thegcloud builds submit
command to submit a build. The following example assumes that your Dockerfile is in the current directory:
!gcloud builds submit --tag gcr.io/myproject/myimage:tag .
A bit about authentication
Kubeflow assigns the jupyter-notebook
service account to the Jupyter notebookPods.The ${GOOGLE_APPLICATION_CREDENTIALS}
environment variable is pre-configuredin the notebook. Its value is a path that points to a JSON file containing aKubernetes secret.The secret contains the credentials needed to authenticate as the notebookservice account within the cluster. To see the value of the environmentvariable, enter the following command in a notebook cell:
!echo ${GOOGLE_APPLICATION_CREDENTIALS}
You should see a response similar to this:
/secrets/gcp-service-account-credentials/user-gcp-sa.json
Next steps
- For more information about using Cloud Build to build Docker images, see theCloud Build documentation.
- See how to deploy Kubeflow on GCP.