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Diffstat (limited to 'charts/aai-modelloader/values.yaml')
-rw-r--r-- | charts/aai-modelloader/values.yaml | 67 |
1 files changed, 67 insertions, 0 deletions
diff --git a/charts/aai-modelloader/values.yaml b/charts/aai-modelloader/values.yaml new file mode 100644 index 0000000..f44d524 --- /dev/null +++ b/charts/aai-modelloader/values.yaml @@ -0,0 +1,67 @@ +# 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 |