startupProbe:
        enabled: true
        failureThreshold: 600 # 10 minutes

      # Resources for the sidecar.
      resources:
        requests:
          cpu: 100m
          memory: 128Mi
        limits:
          cpu: 2000m
          memory: 1024Mi

global:
  proxy:
    resources:
      requests:
        cpu: 10m
        memory: 40Mi

pilot:
  autoscaleEnabled: false
  traceSampling: 100
  resources:
    requests:
      cpu: 10m
      memory: 100Mi

gateways:
  istio-egressgateway:
    autoscaleEnabled: false
    resources:
      requests:
        cpu: 10m
        memory: 40Mi
  istio-ingressgateway:
    autoscaleEnabled: false
    ports:

          type: Utilization
    {{- end }}
    {{- if .Values.autoscaling.targetMemoryUtilizationPercentage }}
    - type: Resource
      resource:
        name: memory
        target:
          averageUtilization: {{ .Values.autoscaling.targetMemoryUtilizationPercentage }}
          type: Utilization
    {{- end }}
  {{- if .Values.autoscaling.autoscaleBehavior }}

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

  // implementation will use to handle pods of this class. The possible values
  // are specific to the node & CRI configuration.  It is assumed that all
  // handlers are available on every node, and handlers of the same name are
  // equivalent on every node.
  // For example, a handler called "runc" might specify that the runc OCI
  // runtime (using native Linux containers) will be used to run the containers
  // in a pod.

due to design choices in Helm.
The underlying Kubernetes resources we configure have 1000s of fields; given enough users and bespoke use cases,
eventually someone will want to customize every one of those fields.
If all fields are exposed in `values.yaml`, we end up with an massive API that is also likely worse than just using the Kubernetes API directly.

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