stable/dask-distributed

Chart version: 2.0.2
Api version: v1
App version: n/a
DEPRECATED: Distributed computation in Python
application
Chart Type
DEPRECATED
Status
Unknown
License
540
Downloads
https://kubernetes-charts.storage.googleapis.com
Set me up:
helm repo add center https://repo.chartcenter.io
Install Chart:
helm install dask-distributed center/stable/dask-distributed
Versions (0)

Deprecated

This chart has been deprecated.

See the chart in stable/dask instead.

Dask Distributed Helm Chart

Dask Distributed allows distributed computation in Python the chart also includes a single user Jupyter Notebook.

Chart Details

This chart will do the following:

  • 1 x Dask scheduler with port 8786 (scheduler) and 80 (Web UI) exposed on an external LoadBalancer
  • 3 x Dask workers that connect to the scheduler
  • 1 x Jupyter notebook with port 80 exposed on an external LoadBalancer
  • All using Kubernetes Deployments

Installing the Chart

To install the chart with the release name my-release:

$ helm install --name my-release stable/dask-distributed

Configuration

The following tables list the configurable parameters of the Dask chart and their default values.

Dask scheduler

Parameter Description Default
scheduler.name Dask master name dask-master
scheduler.image Container image name dask2/dask
scheduler.imageTag Container image tag latest
scheduler.replicas k8s deployment replicas 1
scheduler.component k8s selector key dask-scheduler
scheduler.cpu container requested cpu 500m
scheduler.containerPort Container listening port 8786
scheduler.resources Container resources {}

Dask webUI

Parameter Description Default
webUI.name Dask webui name dask-webui
webUI.servicePort k8s service port 8787
webUI.containerPort Container listening port 8787

Dask worker

Parameter Description Default
worker.name Dask worker name dask-worker
worker.image Container image name daskdev/dask
worker.imageTag Container image tag 1.5.1_v3
worker.replicas k8s hpa and deployment replicas 3
worker.replicasMax k8s hpa max replicas 10
worker.component k8s selector key dask-worker
worker.containerPort Container listening port 7077
worker.resources Container resources {}

jupyter

Parameter Description Default
jupyter.name jupyter name jupyter
jupyter.image Container image name jupyter/base-notebook
jupyter.imageTag Container image tag 11be019e4079
jupyter.replicas k8s deployment replicas 1
jupyter.component k8s selector key jupyter
jupyter.servicePort k8s service port 80
jupyter.containerPort Container listening port 8888
jupyter.resources Container resources {}

Specify each parameter using the --set key=value[,key=value] argument to helm install.

Alternatively, a YAML file that specifies the values for the parameters can be provided while installing the chart. For example,

$ helm install --name my-release -f values.yaml stable/dask

Tip: You can use the default values.yaml