add gke-related changes
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@ -5,7 +5,6 @@ jupyterhub:
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fullnameOverride:
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singleuser:
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fsGid: 100
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defaultUrl: "/lab/tree/welcome.ipynb"
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image:
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name: jupyterhub/k8s-singleuser-sample
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@ -101,6 +100,9 @@ jupyterhub:
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key: token
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RAY_ADDRESS: "ai-starter-kit-kuberay-head-svc:6379"
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MLFLOW_TRACKING_URI: "http://ai-starter-kit-mlflow-tracking"
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cloudMetadata:
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# Without this disabled, the GKE Autopilot Warden will raise an error about container with escalated privilieges
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blockWithIptables: false
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hub:
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db:
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type: sqlite-pvc
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@ -114,6 +116,10 @@ jupyterhub:
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c.DummyAuthenticator.password = "sneakypass"
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01-spawner-timeouts: |
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c.KubeSpawner.start_timeout = 1800
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scheduling:
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userScheduler:
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# For now we disable the scheduler because GKE Autopilot Warden does not allow using of a custom scheduler
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enabled: false
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ray-cluster:
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image:
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