radixconfig.yml

apiVersion: radix.equinor.com/v1
kind: RadixApplication
metadata:
  name: webviz
spec:
  environments:
    - name: prod
      build:
        from: main
    - name: review
      build:
        from: review
    - name: dev
      build:
        from: dev

  components:
    - name: frontend
      dockerFileName: frontend-prod.Dockerfile
      publicPort: http
      ports:
        - name: http
          port: 8080

    - name: backend-primary
      dockerFileName:  ./backend_py/primary/Dockerfile
      ports:
        - name: http
          port: 5000
      secretRefs:
        azureKeyVaults:
          - name: webviz
            items:
              - name: WEBVIZ-CLIENT-SECRET
                envVar: WEBVIZ_CLIENT_SECRET
              - name: WEBVIZ-SMDA-RESOURCE-SCOPE
                envVar: WEBVIZ_SMDA_RESOURCE_SCOPE
              - name: WEBVIZ-SMDA-SUBSCRIPTION-KEY
                envVar: WEBVIZ_SMDA_SUBSCRIPTION_KEY
              - name: WEBVIZ-VDS-HOST-ADDRESS
                envVar: WEBVIZ_VDS_HOST_ADDRESS
      variables:
        UVICORN_PORT: 5000
      environmentConfig:
        - environment: prod
          secretRefs:
            azureKeyVaults:
              - name: webviz
                items:
                  - name: WEBVIZ-INSIGHTS-CONNECTIONSTRING-PROD
                    envVar: APPLICATIONINSIGHTS_CONNECTION_STRING
          variables:
            OTEL_RESOURCE_ATTRIBUTES: service.name=primary-backend, service.namespace=prod, service.version=tbd0.1.2
          resources:
            requests:
              memory: 8Gi
              cpu: 1000m
            limits:
              # Memory limit=request and cpu limit omitted on purpose
              memory: 8Gi
          horizontalScaling:
            minReplicas: 2
            maxReplicas: 4
            resources:
              memory:
                averageUtilization: 60
              cpu:
                averageUtilization: 80
        - environment: review
          secretRefs:
            azureKeyVaults:
              - name: webviz
                items:
                  - name: WEBVIZ-INSIGHTS-CONNECTIONSTRING-REVIEW
                    envVar: APPLICATIONINSIGHTS_CONNECTION_STRING
          variables:
            OTEL_RESOURCE_ATTRIBUTES: service.name=primary-backend, service.namespace=review, service.version=tbd0.1.2
          resources:
            requests:
              memory: 4Gi
              cpu: 500m
            limits:
              memory: 4Gi
          horizontalScaling:
            minReplicas: 1
            maxReplicas: 3
            resources:
              memory:
                averageUtilization: 60
              cpu:
                averageUtilization: 80

        - environment: dev
          secretRefs:
            azureKeyVaults:
              - name: webviz
                items:
                  - name: WEBVIZ-INSIGHTS-CONNECTIONSTRING-DEV
                    envVar: APPLICATIONINSIGHTS_CONNECTION_STRING
          variables:
            OTEL_RESOURCE_ATTRIBUTES: service.name=primary-backend, service.namespace=dev, service.version=tbd0.1.2
          resources:
            requests:
              memory: 4Gi
              cpu: 500m
            limits:
              memory: 4Gi
          horizontalScaling:
            minReplicas: 1
            maxReplicas: 3
            resources:
              memory:
                averageUtilization: 60
              cpu:
                averageUtilization: 80

    - name: surface-query
      dockerFileName: ./backend_go/surface-query-prod.Dockerfile
      ports:
        - name: http
          port: 5001
      resources:
        requests:
          memory: 8Gi
          cpu: 2000m
        limits:
          # Even though the general advice is to leave cpu limit unspecified, here we set it to the same as requests.
          # As of now, it seems that it's the cpu limit value that will be picked up by automaxprocs utilized in the go service.
          memory: 8Gi
          cpu: 2000m
      horizontalScaling:
        minReplicas: 1
        maxReplicas: 4
        resources:
          memory:
            averageUtilization: 60
          cpu:
            averageUtilization: 80

    - name: redis-user-session
      image: bitnami/redis:6.2.10@sha256:bd42fcdab5959ce2b21b6ea8410d4b3ee87ecb2e320260326ec731ecfcffbd0e
      ports:
        - name: http
          port: 6379
      variables:
        ALLOW_EMPTY_PASSWORD: yes

    - name: redis-cache
      image: bitnami/redis:6.2.10@sha256:bd42fcdab5959ce2b21b6ea8410d4b3ee87ecb2e320260326ec731ecfcffbd0e
      ports:
        - name: http
          port: 6379
      variables:
        ALLOW_EMPTY_PASSWORD: yes
        # https://redis.io/docs/management/config/#configuring-redis-as-a-cache
        # maxmemory for redis must be aligned with component's requested memory, here 1gb vs 2gb
        REDIS_EXTRA_FLAGS: --maxmemory 1gb  --maxmemory-policy allkeys-lru  --save ''  --appendonly no  --loglevel verbose
      resources:
        requests:
          memory: 2Gi
          cpu: 200m
        limits:
          memory: 2Gi

  jobs:
    - name: user-mock
      dockerFileName: ./backend_py/user_mock/Dockerfile
      schedulerPort: 8001
      ports:
        - name: http
          port: 8001
      variables:
        UVICORN_PORT: 8001

    - name: user-grid3d-ri
      dockerFileName: ./backend_py/user_grid3d_ri/Dockerfile
      schedulerPort: 8002
      ports:
        - name: http
          port: 8002
      variables:
        UVICORN_PORT: 8002
      payload:
        path: /compute/args

    - name: user-grid3d-vtk
      dockerFileName: ./backend_py/user_grid3d_vtk/Dockerfile
      schedulerPort: 8003
      ports:
        - name: http
          port: 8003
      variables:
        UVICORN_PORT: 8003

  dnsAppAlias:
    environment: prod
    component: frontend