wehub-resource-sync
74 lines
2.1 KiB
YAML
74 lines
2.1 KiB
YAML
# `ray-cluster.autoscaler-template.yaml` is a template for the RayCluster CR and
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# is used by the function `_get_ray_cr_config` in `test_autoscaling_e2e.py`.
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# [Note]
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# (1) The VM test runner only has 4 CPUs, so we lower the CPU requests.
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# (2) `test_autoscaling_e2e.py` assumes that each Ray Pod has 1 logical CPU.
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apiVersion: ray.io/v1
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kind: RayCluster
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metadata:
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name: raycluster-autoscaler
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spec:
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# The version of Ray you are using. Make sure all Ray containers are running this version of Ray.
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rayVersion: '2.46.0'
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# If `enableInTreeAutoscaling` is true, the Autoscaler sidecar will be added to the Ray head pod.
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# Ray Autoscaler integration is Beta with KubeRay >= 0.3.0 and Ray >= 2.0.0.
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enableInTreeAutoscaling: true
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autoscalerOptions:
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upscalingMode: Default
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idleTimeoutSeconds: 60
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imagePullPolicy: IfNotPresent
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resources:
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limits:
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cpu: "500m"
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memory: "512Mi"
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requests:
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cpu: "500m"
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memory: "512Mi"
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headGroupSpec:
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template:
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spec:
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containers:
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- name: ray-head
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image: rayproject/ray:2.46.0
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ports:
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- containerPort: 6379
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name: gcs
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- containerPort: 8265
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name: dashboard
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- containerPort: 10001
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name: client
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imagePullPolicy: IfNotPresent
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lifecycle:
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preStop:
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exec:
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command: ["/bin/sh","-c","ray stop"]
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resources:
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limits:
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cpu: "1"
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memory: "2G"
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requests:
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cpu: "500m"
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memory: "2G"
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workerGroupSpecs:
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- replicas: 1
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minReplicas: 1
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maxReplicas: 10
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groupName: small-group
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template:
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spec:
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containers:
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- name: ray-worker
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image: rayproject/ray:2.46.0
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lifecycle:
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preStop:
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exec:
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command: ["/bin/sh","-c","ray stop"]
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imagePullPolicy: IfNotPresent
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resources:
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limits:
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cpu: "1"
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memory: "1G"
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requests:
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cpu: "500m"
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memory: "1G"
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