bootstrapper.yaml

# Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#      http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# This manifest file creates a cluster admin role and bind to default service account in default namespace,
# before starting the deployment job. This is needed since the deployment job runs a pod that creates
# more cluster roles in the cluster. The pod is ran by the default service account so this account needs
# additional permission to finish the deployment job successfully.
#
# If you think the default service account shouldn't need that level of RBAC permission in the future,
# it's safe to delete the mlpipeline-admin-role-binding after deployment succeeded:
# kubectl delete ClusterRoleBinding mlpipeline-admin-role-binding
# Or you can run the deployment job with service account you would like to use.
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:
  name: mlpipeline-deploy-admin
rules:
- apiGroups:
  - '*'
  resources:
  - '*'
  verbs:
  - '*'
- nonResourceURLs:
  - '*'
  verbs:
  - '*'

---
apiVersion: rbac.authorization.k8s.io/v1beta1
kind: ClusterRoleBinding
metadata:
  creationTimestamp: null
  name: mlpipeline-admin-role-binding
roleRef:
  apiGroup: rbac.authorization.k8s.io
  kind: ClusterRole
  name: mlpipeline-deploy-admin
subjects:
- kind: ServiceAccount
  name: default
  namespace: default

---
apiVersion: batch/v1
kind: Job
metadata:
  generateName: deploy-ml-pipeline-
spec:
  backoffLimit: 1
  template:
    metadata:
      name: deploy-ml-pipeline
    spec:
      containers:
      - name: deploy
        image: gcr.io/ml-pipeline/bootstrapper:0.1.3-rc.2 #TODO-release: update the release tag for the next release
        imagePullPolicy: 'Always'
        # Additional parameter available:
        args: [
          # "--namespace", "foo",
          # "--report_usage", "false",
          # "--uninstall",
        ]
      restartPolicy: Never