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235 lines
9.2 KiB
YAML
Executable File
235 lines
9.2 KiB
YAML
Executable File
## @section Global parameters
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## Global Docker image parameters
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## Please, note that this will override the image parameters, including dependencies, configured to use the global value
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## Current available global Docker image parameters: imageRegistry, imagePullSecrets and storageClass
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## @param global.imageRegistry Global Docker image registry
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## @param global.imagePullSecrets Global Docker registry secret names as an array
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##
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global:
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imageRegistry: ""
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## E.g.
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## imagePullSecrets:
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## - myRegistryKeySecretName
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##
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imagePullSecrets: []
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## @section Common parameters
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## @param nameOverride String to partially override common.names.fullname template (will maintain the release name)
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##
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nameOverride: ""
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## @param fullnameOverride String to fully override common.names.fullname template
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##
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fullnameOverride: ""
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## @param extraDeploy Array of extra objects to deploy with the release
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##
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extraDeploy: []
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## @section TensorFlow parameters
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## TensorFlow Serving server image version
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## ref: https://hub.docker.com/r/bitnami/tensorflow-serving/tags/
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## @param server.image.registry TensorFlow Serving image registry
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## @param server.image.repository TensorFlow Serving image repository
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## @param server.image.tag TensorFlow Serving Image tag (immutable tags are recommended)
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## @param server.image.pullPolicy TensorFlow Serving image pull policy
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## @param server.image.pullSecrets Specify docker-registry secret names as an array
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##
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server:
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image:
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registry: docker.io
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repository: bitnami/tensorflow-serving
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tag: 2.6.0-debian-10-r32
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## Specify a imagePullPolicy
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## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
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## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
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##
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pullPolicy: IfNotPresent
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## Optionally specify an array of imagePullSecrets.
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## Secrets must be manually created in the namespace.
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## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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## e.g:
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## pullSecrets:
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## - myRegistryKeySecretName
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##
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pullSecrets: []
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## TensorFlow ResNet image version
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## ref: https://hub.docker.com/r/bitnami/tensorflow-resnet/tags/
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## @param client.image.registry TensorFlow ResNet image registry
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## @param client.image.repository TensorFlow ResNet image repository
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## @param client.image.tag TensorFlow ResNet Image tag (immutable tags are recommended)
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## @param client.image.pullPolicy TensorFlow ResNet image pull policy
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## @param client.image.pullSecrets Specify docker-registry secret names as an array
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##
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client:
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image:
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registry: docker.io
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repository: bitnami/tensorflow-resnet
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tag: 2.6.1-debian-10-r0
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## Specify a imagePullPolicy
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## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
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## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
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##
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pullPolicy: IfNotPresent
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## Optionally specify an array of imagePullSecrets.
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## Secrets must be manually created in the namespace.
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## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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## e.g:
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## pullSecrets:
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## - myRegistryKeySecretName
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##
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pullSecrets: []
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## @param hostAliases Deployment pod host aliases
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## https://kubernetes.io/docs/concepts/services-networking/add-entries-to-pod-etc-hosts-with-host-aliases/
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##
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hostAliases: []
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## Container ports
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## @param containerPorts.server Tensorflow server port
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## @param containerPorts.restApi TensorFlow Serving Rest API Port
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##
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containerPorts:
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server: 8500
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restApi: 8501
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## @param replicaCount Number of replicas
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##
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replicaCount: 1
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## @param podAnnotations Pod annotations
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## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
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##
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podAnnotations: {}
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## @param podAffinityPreset Pod affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
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## ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
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##
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podAffinityPreset: ""
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## @param podAntiAffinityPreset Pod anti-affinity preset. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
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## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
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##
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podAntiAffinityPreset: soft
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## Node affinity preset
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## Ref: https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
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##
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nodeAffinityPreset:
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## @param nodeAffinityPreset.type Node affinity preset type. Ignored if `affinity` is set. Allowed values: `soft` or `hard`
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##
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type: ""
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## @param nodeAffinityPreset.key Node label key to match Ignored if `affinity` is set.
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## E.g.
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## key: "kubernetes.io/e2e-az-name"
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##
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key: ""
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## @param nodeAffinityPreset.values Node label values to match. Ignored if `affinity` is set.
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## E.g.
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## values:
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## - e2e-az1
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## - e2e-az2
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##
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values: []
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## @param affinity Affinity for pod assignment. Evaluated as a template.
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## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
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## Note: podAffinityPreset, podAntiAffinityPreset, and nodeAffinityPreset will be ignored when it's set
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##
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affinity: {}
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## @param nodeSelector Node labels for pod assignment. Evaluated as a template.
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## ref: https://kubernetes.io/docs/user-guide/node-selection/
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##
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nodeSelector: {}
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## @param tolerations Tolerations for pod assignment. Evaluated as a template.
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## ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
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##
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tolerations: []
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## Containers' resource requests and limits
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## ref: http://kubernetes.io/docs/user-guide/compute-resources/
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## We usually recommend not to specify default resources and to leave this as a conscious
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## choice for the user. This also increases chances charts run on environments with little
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## resources, such as Minikube. If you do want to specify resources, uncomment the following
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## lines, adjust them as necessary, and remove the curly braces after 'resources:'.
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## @param resources.limits The resources limits for the container
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## @param resources.requests The requested resources for the container
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##
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resources:
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## Example:
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## limits:
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## cpu: 500m
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## memory: 1Gi
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limits: {}
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## Examples:
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## requests:
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## cpu: 250m
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## memory: 256Mi
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requests: {}
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## Containers' liveness probe
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## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes
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## @param livenessProbe.enabled Enable livenessProbe
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## @param livenessProbe.initialDelaySeconds Initial delay seconds for livenessProbe
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## @param livenessProbe.periodSeconds Period seconds for livenessProbe
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## @param livenessProbe.timeoutSeconds Timeout seconds for livenessProbe
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## @param livenessProbe.failureThreshold Failure threshold for livenessProbe
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## @param livenessProbe.successThreshold Success threshold for livenessProbe
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##
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livenessProbe:
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enabled: true
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initialDelaySeconds: 30
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periodSeconds: 5
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timeoutSeconds: 5
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failureThreshold: 6
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successThreshold: 1
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## Containers' readiness probe
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## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes
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## @param readinessProbe.enabled Enable readinessProbe
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## @param readinessProbe.initialDelaySeconds Initial delay seconds for readinessProbe
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## @param readinessProbe.periodSeconds Period seconds for readinessProbe
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## @param readinessProbe.timeoutSeconds Timeout seconds for readinessProbe
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## @param readinessProbe.failureThreshold Failure threshold for readinessProbe
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## @param readinessProbe.successThreshold Success threshold for readinessProbe
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##
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readinessProbe:
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enabled: true
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initialDelaySeconds: 15
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periodSeconds: 5
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timeoutSeconds: 5
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failureThreshold: 6
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successThreshold: 1
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## Service for the scheduler node
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##
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service:
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## @param service.type Kubernetes Service type
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##
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type: LoadBalancer
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## @param service.port TensorFlow Serving server port
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##
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port: 8500
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## @param service.restApiPort TensorFlow Serving Rest API port
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##
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restApiPort: 8501
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## Specify the nodePort(s) value(s) for the LoadBalancer and NodePort service types.
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## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
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## @param service.nodePorts.server Kubernetes server node port
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## @param service.nodePorts.restApi Kubernetes Rest API node port
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##
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nodePorts:
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server: ""
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restApi: ""
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## @param service.loadBalancerIP Set the LoadBalancer service type to internal only.
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## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
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##
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loadBalancerIP: ""
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## @param service.annotations Service annotations
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## This can be used to set the LoadBalancer service type to internal only.
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## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
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##
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annotations: {}
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## TensorFlow Serving Prometheus exporter configuration
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##
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metrics:
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## @param metrics.enabled Enable Prometheus exporter to expose Tensorflow server metrics
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##
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enabled: false
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## @param metrics.podAnnotations [object] Prometheus exporter pod annotations
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## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
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##
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podAnnotations:
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prometheus.io/scrape: "true"
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prometheus.io/path: "/monitoring/prometheus/metrics"
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prometheus.io/port: "{{ .Values.containerPorts.restApi }}"
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