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values.yaml
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---
# nameOverride: dask
# fullnameOverride: dask
scheduler:
name: scheduler
image:
repository: "daskdev/dask"
tag: 2.14.0
pullPolicy: IfNotPresent
# See https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
pullSecrets:
# - name: regcred
replicas: 1
# serviceType: "ClusterIP"
# serviceType: "NodePort"
serviceType: "LoadBalancer"
servicePort: 8786
resources: {}
# limits:
# cpu: 1.8
# memory: 6G
# requests:
# cpu: 1.8
# memory: 6G
tolerations: []
affinity: {}
nodeSelector: {}
# serviceAccountName: ""
webUI:
name: webui
servicePort: 80
ingress:
enabled: false
tls: false
# secretName: dask-scheduler-tls
hostname: dask-ui.example.com
annotations:
# kubernetes.io/ingress.class: "nginx"
# secretName: my-tls-cert
# kubernetes.io/tls-acme: "true"
worker:
name: worker
image:
repository: "daskdev/dask"
tag: 2.14.0
pullPolicy: IfNotPresent
# dask_worker: "dask-cuda-worker"
dask_worker: "dask-worker"
pullSecrets:
# - name: regcred
replicas: 3
default_resources: # overwritten by resource limits if they exist
cpu: 1
memory: "4GiB"
env:
# - name: EXTRA_APT_PACKAGES
# value: build-essential openssl
# - name: EXTRA_CONDA_PACKAGES
# value: numba xarray -c conda-forge
# - name: EXTRA_PIP_PACKAGES
# value: s3fs dask-ml --upgrade
resources: {}
# limits:
# cpu: 1
# memory: 3G
# nvidia.com/gpu: 1
# requests:
# cpu: 1
# memory: 3G
# nvidia.com/gpu: 1
tolerations: []
nodeSelector: {}
affinity: {}
securityContext: {}
# serviceAccountName: ""
# port: ""
jupyter:
name: jupyter
enabled: true
image:
repository: "daskdev/dask-notebook"
tag: 2.14.0
pullPolicy: IfNotPresent
pullSecrets:
# - name: regcred
replicas: 1
# serviceType: "ClusterIP"
# serviceType: "NodePort"
serviceType: "LoadBalancer"
servicePort: 80
# This hash corresponds to the password 'dask'
password: 'sha1:aae8550c0a44:9507d45e087d5ee481a5ce9f4f16f37a0867318c'
env:
# - name: EXTRA_CONDA_PACKAGES
# value: "numba xarray -c conda-forge"
# - name: EXTRA_PIP_PACKAGES
# value: "s3fs dask-ml --upgrade"
args:
# - "start.sh"
# - "jupyter"
# - "lab"
extraConfig: |-
# Extra Jupyter config goes here
# E.g
# c.NotebookApp.port = 8888
resources: {}
# limits:
# cpu: 2
# memory: 6G
# requests:
# cpu: 2
# memory: 6G
tolerations: []
nodeSelector: {}
affinity: {}
securityContext: {}
# serviceAccountName: ""
ingress:
enabled: false
tls: false
# secretName: dask-jupyter-tls
hostname: dask-jupyter.example.com
annotations:
# kubernetes.io/ingress.class: "nginx"
# secretName: my-tls-cert
# kubernetes.io/tls-acme: "true"