deploymentHistory: 10

  # Operator resource defaults
  operator:
    monitoring:
      host: 127.0.0.1
      port: 15014
    resources:
      limits:
        cpu: 200m
        memory: 256Mi
      requests:
        cpu: 50m
        memory: 128Mi
    # Set to `type: RuntimeDefault` to use the default profile if available.
    seccompProfile: {}

  # Node labels for pod assignment
  nodeSelector: {}

        fieldRef:
          fieldPath: spec.serviceAccountName
    - name: HOST_IP
      valueFrom:
        fieldRef:
          fieldPath: status.hostIP
    - name: ISTIO_CPU_LIMIT
      valueFrom:
        resourceFieldRef:
          resource: limits.cpu
    - name: PROXY_CONFIG
      value: |
             {{ protoToJSON .ProxyConfig }}
    - name: ISTIO_META_POD_PORTS
      value: |-
        [
        {{- $first := true }}

    ipFamilies: []
    ## Whether to automatically allocate NodePorts (only for LoadBalancers).
    # allocateLoadBalancerNodePorts: false

  resources:
    requests:
      cpu: 100m
      memory: 128Mi
    limits:
      cpu: 2000m
      memory: 1024Mi

  autoscaling:
    enabled: true
    minReplicas: 1
    maxReplicas: 5
    targetCPUUtilizationPercentage: 80
    targetMemoryUtilizationPercentage: {}

// ContainerResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to

        - name: HOST_IP
          valueFrom:
            fieldRef:
              fieldPath: status.hostIP
        - name: ISTIO_CPU_LIMIT
          valueFrom:
            resourceFieldRef:
              resource: limits.cpu
        - name: PROXY_CONFIG
          value: |
                 {{ protoToJSON .ProxyConfig }}
        - name: ISTIO_META_POD_PORTS
          value: "[]"

// ContainerResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to
// Kubernetes, and have special scaling options on top of those available to

      "pluginVersion": "10.1.5",
      "targets": [
        {
          "datasource": {
            "type": "prometheus",
            "uid": "${datasource}"
          },
          "expr": "(sum(irate(container_cpu_usage_seconds_total{pod=~\"istio-ingressgateway-.*\",container=\"istio-proxy\"}[1m])) / (round(sum(irate(istio_requests_total{source_workload=\"istio-ingressgateway\", reporter=\"source\"}[1m])), 0.001)/1000))",

        fieldRef:
          fieldPath: spec.serviceAccountName
    - name: HOST_IP
      valueFrom:
        fieldRef:
          fieldPath: status.hostIP
    - name: ISTIO_CPU_LIMIT
      valueFrom:
        resourceFieldRef:
          resource: limits.cpu
    - name: PROXY_CONFIG
      value: |
             {{ protoToJSON .ProxyConfig }}
    - name: ISTIO_META_POD_PORTS
      value: |-
        [
        {{- $first := true }}

      requests:
        {{ if (isset .ObjectMeta.Annotations `sidecar.istio.io/proxyCPU`) -}}
        cpu: "{{ index .ObjectMeta.Annotations `sidecar.istio.io/proxyCPU` }}"
        {{ end }}
        {{ if (isset .ObjectMeta.Annotations `sidecar.istio.io/proxyMemory`) -}}

              "properties": {
                "cpu": {
                  "type": "string"
                },
                "memory": {
                  "type": "string"
                }
              }
            },
            "requests": {
              "type": "object",
              "properties": {
                "cpu": {
                  "type": "string"
                },