kubernetes_manifests_deployer/kubernetes_manifests/recommendationservice/recommendationservice.yaml

# Copyright 2023 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.

apiVersion: apps/v1
kind: Deployment
metadata:
  name: recommendationservice
  namespace: recommendationservice
spec:
  selector:
    matchLabels:
      app: recommendationservice
  template:
    metadata:
      labels:
        app: recommendationservice
    spec:
      serviceAccountName: default
      terminationGracePeriodSeconds: 5
      securityContext:
        fsGroup: 1000
        runAsGroup: 1000
        runAsNonRoot: true
        runAsUser: 1000
      containers:
      - name: server
        securityContext:
          allowPrivilegeEscalation: false
          capabilities:
            drop:
              - ALL
          privileged: false
          readOnlyRootFilesystem: true
        image: gcr.io/google-samples/microservices-demo/recommendationservice:v0.7.0
        ports:
        - containerPort: 8080
        readinessProbe:
          periodSeconds: 5
          exec:
            command: ["/bin/grpc_health_probe", "-addr=:8080"]
        livenessProbe:
          periodSeconds: 5
          exec:
            command: ["/bin/grpc_health_probe", "-addr=:8080"]
        env:
        - name: PORT
          value: "8080"
        - name: PRODUCT_CATALOG_SERVICE_ADDR
          value: "productcatalogservice.productcatalogservice:3550"
        - name: DISABLE_PROFILER
          value: "1"
        resources:
          requests:
            cpu: 100m
            memory: 220Mi
          limits:
            cpu: 200m
            memory: 450Mi
---
apiVersion: v1
kind: Service
metadata:
  name: recommendationservice
  namespace: recommendationservice
spec:
  type: ClusterIP
  selector:
    app: recommendationservice
  ports:
  - name: grpc
    port: 8080
    targetPort: 8080