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.

• https://github.com/dask/distributed
• http://jupyter.org/

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