cloudbuild.yaml

steps:
  # pull the container image if it is already built
  - name: 'gcr.io/cloud-builders/docker'
    entrypoint: 'bash'
    args:
      - '-c'
      - 'docker pull gcr.io/$PROJECT_ID/gkecicd:latest || exit 0'
  # build the container image
  - name: 'gcr.io/cloud-builders/docker'
    args:
      - 'build'
      - '-t'
      - 'gcr.io/$PROJECT_ID/gkecicd:latest'
      - '-t'
      - 'gcr.io/$PROJECT_ID/gkecicd:$COMMIT_SHA'
      - '--cache-from'
      - 'gcr.io/$PROJECT_ID/gkecicd:latest'
      - '.'
  # push the container image to Container Registry with all tags
  - name: 'gcr.io/cloud-builders/docker'
    args:
      - 'push'
      - 'gcr.io/$PROJECT_ID/gkecicd'
  # edit deployment manifest replacing PROJECT_ID and COMMIT_SHA into
  # container image address
  - name: 'gcr.io/cloud-builders/gcloud'
    entrypoint: 'bash'
    args:
      - '-c'
      - |
        sed -i "s/PROJECT_ID/${PROJECT_ID}/g" k8s/deployment.yaml && \
        sed -i "s/COMMIT_SHA/${COMMIT_SHA}/g" k8s/deployment.yaml && \
        sed -i "s/SERVICE_NAME/ml-model/g" k8s/deployment.yaml
  # apply k8s manifest to my cluster
  - name: 'gcr.io/cloud-builders/kubectl'
    args:
      - 'apply'
      - '-f'
      - 'k8s/'
    env:
      - 'CLOUDSDK_COMPUTE_ZONE=southamerica-east1-b'
      - 'CLOUDSDK_CONTAINER_CLUSTER=ml-cluster'