# 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`: ```bash $ 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, ```bash $ helm install --name my-release -f values.yaml stable/dask ``` > **Tip**: You can use the default [values.yaml](values.yaml)