kubernetes/aai/charts/aai-modelloader/values.yaml

# Default values for modelloader.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
global: # global defaults
  nodePortPrefix: 302
  repositorySecret: eyJuZXh1czMub25hcC5vcmc6MTAwMDEiOnsidXNlcm5hbWUiOiJkb2NrZXIiLCJwYXNzd29yZCI6ImRvY2tlciIsImVtYWlsIjoiQCIsImF1dGgiOiJaRzlqYTJWeU9tUnZZMnRsY2c9PSJ9fQ==


# application image
repository: nexus3.onap.org:10001
image: onap/model-loader:v1.1.0
pullPolicy: Always
restartPolicy: Always

# application configuration
config: {}

# default number of instances
replicaCount: 1

nodeSelector: {}

affinity: {}

# probe configuration parameters
liveness:
  initialDelaySeconds: 10
  periodSeconds: 10
  # necessary to disable liveness probe when setting breakpoints
  # in debugger so K8s doesn't restart unresponsive container
  enabled: true

readiness:
  initialDelaySeconds: 10
  periodSeconds: 10

service:
  type: NodePort
  name: aai-modelloader
  externalPort: 8080
  internalPort: 8080
  nodePort: 10
  externalPort2: 8443
  internalPort2: 8443
  nodePort2: 29

ingress:
  enabled: false

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:'.
  #
  # Example:
  # Configure resource requests and limits
  # ref: http://kubernetes.io/docs/user-guide/compute-resources/
  # Minimum memory for development is 2 CPU cores and 4GB memory
  # Minimum memory for production is 4 CPU cores and 8GB memory
#resources:
#  limits:
#    cpu: 2
#    memory: 4Gi
#  requests:
#    cpu: 2
#    memory: 4Gi