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Harald HaasandKubernetes Prow Robot
1c90df1b53
* [stable/dask] Add ingress Signed-off-by: Harald Haas <harald.haas@cloudpilots.com> * [stable/dask] Update and lint dask/README.md Signed-off-by: Harald Haas <harald.haas@cloudpilots.com> * [stable/dask] Bump chart version to 3.1.0 Signed-off-by: Harald Haas <harald.haas@cloudpilots.com> * [stable/dask] Fix missing EOF newline values.yaml Signed-off-by: Harald Haas <harald.haas@cloudpilots.com> * [stable/dask] fix default ingress tls secretName Signed-off-by: Harald Haas <harald.haas@cloudpilots.com> * [stable/dask] Add tls secretName to README and values Signed-off-by: Harald Haas <harald.haas@cloudpilots.com>
116 lines
2.5 KiB
YAML
116 lines
2.5 KiB
YAML
---
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# nameOverride: dask
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# fullnameOverride: dask
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scheduler:
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name: scheduler
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image:
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repository: "daskdev/dask"
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tag: 1.1.5
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pullPolicy: IfNotPresent
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# See https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/
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pullSecrets:
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# - name: regcred
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replicas: 1
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# serviceType: "ClusterIP"
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# serviceType: "NodePort"
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serviceType: "LoadBalancer"
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servicePort: 8786
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resources: {}
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# limits:
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# cpu: 1.8
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# memory: 6G
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# requests:
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# cpu: 1.8
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# memory: 6G
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tolerations: []
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nodeSelector: {}
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affinity: {}
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webUI:
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name: webui
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servicePort: 80
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ingress:
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enabled: false
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tls: false
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# secretName: dask-scheduler-tls
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hostname: dask-ui.example.com
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annotations:
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# kubernetes.io/ingress.class: "nginx"
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# secretName: my-tls-cert
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# kubernetes.io/tls-acme: "true"
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worker:
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name: worker
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image:
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repository: "daskdev/dask"
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tag: 1.1.5
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pullPolicy: IfNotPresent
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# dask_worker: "dask-cuda-worker"
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dask_worker: "dask-worker"
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pullSecrets:
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# - name: regcred
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replicas: 3
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aptPackages: >-
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default_resources: # overwritten by resource limits if they exist
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cpu: 1
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memory: "4GiB"
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env:
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# - name: EXTRA_CONDA_PACKAGES
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# value: numba xarray -c conda-forge
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# - name: EXTRA_PIP_PACKAGES
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# value: s3fs dask-ml --upgrade
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resources: {}
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# limits:
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# cpu: 1
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# memory: 3G
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# nvidia.com/gpu: 1
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# requests:
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# cpu: 1
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# memory: 3G
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# nvidia.com/gpu: 1
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tolerations: []
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nodeSelector: {}
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affinity: {}
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jupyter:
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name: jupyter
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enabled: true
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image:
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repository: "daskdev/dask-notebook"
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tag: 1.1.5
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pullPolicy: IfNotPresent
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pullSecrets:
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# - name: regcred
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replicas: 1
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# serviceType: "ClusterIP"
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# serviceType: "NodePort"
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serviceType: "LoadBalancer"
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servicePort: 80
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# This hash corresponds to the password 'dask'
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password: 'sha1:aae8550c0a44:9507d45e087d5ee481a5ce9f4f16f37a0867318c'
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env:
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# - name: EXTRA_CONDA_PACKAGES
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# value: "numba xarray -c conda-forge"
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# - name: EXTRA_PIP_PACKAGES
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# value: "s3fs dask-ml --upgrade"
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resources: {}
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# limits:
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# cpu: 2
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# memory: 6G
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# requests:
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# cpu: 2
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# memory: 6G
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tolerations: []
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nodeSelector: {}
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affinity: {}
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ingress:
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enabled: false
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tls: false
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# secretName: dask-jupyter-tls
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hostname: dask-jupyter.example.com
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annotations:
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# kubernetes.io/ingress.class: "nginx"
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# secretName: my-tls-cert
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# kubernetes.io/tls-acme: "true"
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