Dask Cluster
Running a dask cluster in your namespace
Create a dask cluster according to https://kubernetes.dask.org/en/latest/operator_resources.html, for example:
apiVersion: kubernetes.dask.org/v1
kind: DaskCluster
metadata:
name: my-dask-cluster
spec:
worker:
replicas: 2
spec:
containers:
- name: worker
image: "ghcr.io/dask/dask:latest"
imagePullPolicy: "Always"
args:
- dask
- worker
- --name
- $(DASK_WORKER_NAME)
- --dashboard
- --dashboard-address
- "8788"
ports:
- name: http-dashboard
containerPort: 8788
protocol: TCP
resources:
limits:
cpu: "2"
memory: 5Gi
requests:
cpu: 100m
memory: 512Mi
scheduler:
spec:
containers:
- name: scheduler
image: "ghcr.io/dask/dask:latest"
imagePullPolicy: "Always"
args:
- dask
- scheduler
ports:
- name: tcp-comm
containerPort: 8786
protocol: TCP
- name: http-dashboard
containerPort: 8787
protocol: TCP
readinessProbe:
httpGet:
port: http-dashboard
path: /health
initialDelaySeconds: 5
periodSeconds: 10
livenessProbe:
httpGet:
port: http-dashboard
path: /health
initialDelaySeconds: 15
periodSeconds: 20
resources:
limits:
cpu: "2"
memory: 5Gi
requests:
cpu: 100m
memory: 512Mi
service:
type: ClusterIP
selector:
dask.org/cluster-name: my-dask-cluster
dask.org/component: scheduler
ports:
- name: tcp-comm
protocol: TCP
port: 8786
targetPort: "tcp-comm"
- name: http-dashboard
protocol: TCP
port: 8787
targetPort: "http-dashboard"
Follow the dask docs to proceed with creating workers.