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/v1kind: DaskClustermetadata: name: my-dask-clusterspec: 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.