charts/bitnami/tensorflow-resnet/values.yaml

## Global Docker image parameters
## Please, note that this will override the image parameters, including dependencies, configured to use the global value
## Current available global Docker image parameters: imageRegistry and imagePullSecrets
##
# global:
#   imageRegistry: myRegistryName
#   imagePullSecrets:
#     - myRegistryKeySecretName

## TensorFlow Serving server image version
## ref: https://hub.docker.com/r/bitnami/tensorflow-serving/tags/
##
server:
  image:
    registry: docker.io
    repository: bitnami/tensorflow-serving
    tag: 2.3.0-debian-10-r23
    ## Specify a imagePullPolicy
    ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
    ## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
    ##
    pullPolicy: IfNotPresent
    ## Optionally specify an array of imagePullSecrets.
    ## Secrets must be manually created in the namespace.
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
    ##
    # pullSecrets:
    #   - myRegistryKeySecretName

## TensorFlow ResNet image version
## ref: https://hub.docker.com/r/bitnami/tensorflow-resnet/tags/
##
client:
  image:
    registry: docker.io
    repository: bitnami/tensorflow-resnet
    tag: 2.3.0-debian-10-r24
    ## Specify a imagePullPolicy
    ## Defaults to 'Always' if image tag is 'latest', else set to 'IfNotPresent'
    ## ref: http://kubernetes.io/docs/user-guide/images/#pre-pulling-images
    ##
    pullPolicy: IfNotPresent
    ## Optionally specify an array of imagePullSecrets.
    ## Secrets must be manually created in the namespace.
    ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
    ##
    # pullSecrets:
    #   - myRegistryKeySecretName

## String to partially override tensorflow-resnet.fullname template (will maintain the release name)
##
# nameOverride:

## String to fully override tensorflow-resnet.fullname template
##
# fullnameOverride:

## Container ports
##
containerPorts:
  server: 8500
  restApi: 8501

## Number of replicas
##
replicaCount: 1

## Pod annotations
## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
##
podAnnotations: {}

## Affinity for pod assignment
## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity
##
affinity: {}

## Node labels for pod assignment. Evaluated as a template.
## Ref: https://kubernetes.io/docs/user-guide/node-selection/
##
nodeSelector: {}

## Tolerations for pod assignment
## Ref: https://kubernetes.io/docs/concepts/configuration/taint-and-toleration/
##
tolerations: []

## Containers' resource requests and limits
## ref: http://kubernetes.io/docs/user-guide/compute-resources/
##
resources:
  # We usually recommend not to specify default resources and to leave this as a conscious
  # choice for the user. This also increases chances charts run on environments with little
  # resources, such as Minikube. If you do want to specify resources, uncomment the following
  # lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  limits: {}
  #   cpu: 500m
  #   memory: 1Gi
  requests: {}
  #   cpu: 250m
  #   memory: 256Mi

## Containers' liveness and readiness probes
## ref: https://kubernetes.io/docs/concepts/workloads/pods/pod-lifecycle/#container-probes
##
livenessProbe:
  enabled: true
  initialDelaySeconds: 30
  periodSeconds: 5
  timeoutSeconds: 5
  failureThreshold: 6
  successThreshold: 1
readinessProbe:
  enabled: true
  initialDelaySeconds: 15
  periodSeconds: 5
  timeoutSeconds: 5
  failureThreshold: 6
  successThreshold: 1

## Service for the scheduler node
##
service:
  ## Kubernetes service type
  ##
  type: LoadBalancer
  ## TensorFlow server port
  ##
  port: 8500
  ## REST API port
  ##
  restApiPort: 8501
  ## Specify the nodePort(s) value(s) for the LoadBalancer and NodePort service types.
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#type-nodeport
  ##
  nodePorts:
    server: ""
    restApi: ""
  ## Set the LoadBalancer service type to internal only.
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
  ##
  # loadBalancerIP:
  ## Provide any additional annotations which may be required. This can be used to
  ## set the LoadBalancer service type to internal only.
  ## ref: https://kubernetes.io/docs/concepts/services-networking/service/#internal-load-balancer
  ##
  annotations: {}

## TensorFlow Serving Prometheus exporter configuration
##
metrics:
  enabled: false
  ## Prometheus exporter pod annotations
  ## ref: https://kubernetes.io/docs/concepts/overview/working-with-objects/annotations/
  ##
  podAnnotations:
    prometheus.io/scrape: "true"
    prometheus.io/path: "/monitoring/prometheus/metrics"
    prometheus.io/port: "{{ .Values.containerPorts.restApi }}"