apiVersion: apps/v1 kind: Deployment metadata: labels: app: ml-pipeline-ui name: ml-pipeline-ui spec: selector: matchLabels: app: ml-pipeline-ui template: metadata: labels: app: ml-pipeline-ui annotations: cluster-autoscaler.kubernetes.io/safe-to-evict: "true" spec: volumes: - name: config-volume configMap: name: ml-pipeline-ui-configmap containers: - image: gcr.io/ml-pipeline/frontend:dummy imagePullPolicy: IfNotPresent name: ml-pipeline-ui ports: - containerPort: 3000 volumeMounts: - name: config-volume mountPath: /etc/config readOnly: true env: - name: VIEWER_TENSORBOARD_POD_TEMPLATE_SPEC_PATH value: /etc/config/viewer-pod-template.json - name: MINIO_NAMESPACE valueFrom: fieldRef: fieldPath: metadata.namespace - name: MINIO_ACCESS_KEY valueFrom: secretKeyRef: name: mlpipeline-minio-artifact key: accesskey - name: MINIO_SECRET_KEY valueFrom: secretKeyRef: name: mlpipeline-minio-artifact key: secretkey - name: ALLOW_CUSTOM_VISUALIZATIONS value: "true" readinessProbe: exec: command: - wget - -q # quiet - -S # show server response - -O - "-" # Redirect output to stdout - http://localhost:3000/apis/v1beta1/healthz initialDelaySeconds: 3 periodSeconds: 5 timeoutSeconds: 2 livenessProbe: exec: command: - wget - -q # quiet - -S # show server response - -O - "-" # Redirect output to stdout - http://localhost:3000/apis/v1beta1/healthz initialDelaySeconds: 3 periodSeconds: 5 timeoutSeconds: 2 resources: requests: cpu: 10m memory: 70Mi serviceAccountName: ml-pipeline-ui