ray-project--ray/python/ray/tests/kuberay/test_files/podlist2.yaml

apiVersion: v1
items:
- apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      ray.io/ft-enabled: "false"
      ray.io/health-state: ""
    creationTimestamp: "2022-11-14T23:10:15Z"
    generateName: raycluster-autoscaler-head-
    labels:
      app.kubernetes.io/created-by: kuberay-operator
      app.kubernetes.io/name: kuberay
      ray.io/cluster: raycluster-autoscaler
      ray.io/cluster-dashboard: raycluster-autoscaler-dashboard
      ray.io/group: headgroup
      ray.io/identifier: raycluster-autoscaler-head
      ray.io/is-ray-node: "yes"
      ray.io/node-type: head
    name: raycluster-autoscaler-head-8zsc8
    namespace: default
    ownerReferences:
    - apiVersion: ray.io/v1alpha1
      blockOwnerDeletion: true
      controller: true
      kind: RayCluster
      name: raycluster-autoscaler
      uid: ec79effb-0295-4f40-b08b-8633aa7f786a
    resourceVersion: "4519"
    uid: 539ea57c-8d51-4503-a395-08779efb3bf0
  spec:
    containers:
    - args:
      - 'ulimit -n 65536; ray start --head  --resources="{\"Custom1\": 1, \"Custom2\":
        5}"  --block  --dashboard-host=0.0.0.0  --metrics-export-port=8080  --no-monitor  --num-cpus=1  --memory=1000000000 '
      command:
      - /bin/bash
      - -c
      - --
      env:
      - name: RAY_IP
        value: 127.0.0.1
      - name: RAY_PORT
        value: "6379"
      - name: RAY_ADDRESS
        value: 127.0.0.1:6379
      - name: REDIS_PASSWORD
      image: gekho/ray
      imagePullPolicy: Always
      lifecycle:
        preStop:
          exec:
            command:
            - /bin/sh
            - -c
            - ray stop
      name: ray-head
      ports:
      - containerPort: 6379
        name: gcs
        protocol: TCP
      - containerPort: 8265
        name: dashboard
        protocol: TCP
      - containerPort: 10001
        name: client
        protocol: TCP
      - containerPort: 8080
        name: metrics
        protocol: TCP
      resources:
        limits:
          cpu: "1"
          memory: 1G
        requests:
          cpu: 500m
          memory: 512Mi
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /tmp/ray
        name: ray-logs
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-tmxvr
        readOnly: true
    - args:
      - kuberay-autoscaler
      - --cluster-name
      - $(RAY_CLUSTER_NAME)
      - --cluster-namespace
      - $(RAY_CLUSTER_NAMESPACE)
      command:
      - ray
      env:
      - name: RAY_CLUSTER_NAME
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.labels['ray.io/cluster']
      - name: RAY_CLUSTER_NAMESPACE
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.namespace
      image: gekho/ray
      imagePullPolicy: Always
      name: autoscaler
      resources:
        limits:
          cpu: 500m
          memory: 512Mi
        requests:
          cpu: 500m
          memory: 512Mi
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /tmp/ray
        name: ray-logs
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-tmxvr
        readOnly: true
    dnsPolicy: ClusterFirst
    enableServiceLinks: true
    nodeName: gke-cluster-1-default-pool-a5503908-181p
    preemptionPolicy: PreemptLowerPriority
    priority: 0
    restartPolicy: Always
    schedulerName: default-scheduler
    securityContext: {}
    serviceAccount: raycluster-autoscaler
    serviceAccountName: raycluster-autoscaler
    terminationGracePeriodSeconds: 30
    tolerations:
    - effect: NoExecute
      key: node.kubernetes.io/not-ready
      operator: Exists
      tolerationSeconds: 300
    - effect: NoExecute
      key: node.kubernetes.io/unreachable
      operator: Exists
      tolerationSeconds: 300
    volumes:
    - emptyDir:
        medium: Memory
        sizeLimit: 512Mi
      name: shared-mem
    - emptyDir: {}
      name: ray-logs
    - name: kube-api-access-tmxvr
      projected:
        defaultMode: 420
        sources:
        - serviceAccountToken:
            expirationSeconds: 3607
            path: token
        - configMap:
            items:
            - key: ca.crt
              path: ca.crt
            name: kube-root-ca.crt
        - downwardAPI:
            items:
            - fieldRef:
                apiVersion: v1
                fieldPath: metadata.namespace
              path: namespace
  status:
    conditions:
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:10:15Z"
      status: "True"
      type: Initialized
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:11:23Z"
      status: "True"
      type: Ready
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:11:23Z"
      status: "True"
      type: ContainersReady
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:10:15Z"
      status: "True"
      type: PodScheduled
    containerStatuses:
    - containerID: containerd://0b008432be839bec8dd97437d3f2be9ac8d7f017b91067a46ec45a487f141ebf
      image: docker.io/gekho/ray:latest
      imageID: docker.io/gekho/ray@sha256:7859a78d1a089bb88691864d5c4a2aad529f5353d7d9c82cc0274842fbda242b
      lastState: {}
      name: autoscaler
      ready: true
      restartCount: 0
      started: true
      state:
        running:
          startedAt: "2022-11-14T23:11:23Z"
    - containerID: containerd://b2aae80ed028cc41bad1e350bb70a0a4e8ea722df098b38781efabe54adbc5ec
      image: docker.io/gekho/ray:latest
      imageID: docker.io/gekho/ray@sha256:7859a78d1a089bb88691864d5c4a2aad529f5353d7d9c82cc0274842fbda242b
      lastState: {}
      name: ray-head
      ready: true
      restartCount: 0
      started: true
      state:
        running:
          startedAt: "2022-11-14T23:11:22Z"
    hostIP: 10.128.0.45
    phase: Running
    podIP: 10.4.2.6
    podIPs:
    - ip: 10.4.2.6
    qosClass: Burstable
    startTime: "2022-11-14T23:10:15Z"
- apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      key: value
      ray.io/ft-enabled: "false"
      ray.io/health-state: ""
    creationTimestamp: "2022-11-14T23:13:47Z"
    generateName: raycluster-autoscaler-worker-fake-gpu-group-
    labels:
      app.kubernetes.io/created-by: kuberay-operator
      app.kubernetes.io/name: kuberay
      key: value
      ray.io/cluster: raycluster-autoscaler
      ray.io/cluster-dashboard: raycluster-autoscaler-dashboard
      ray.io/group: fake-gpu-group
      ray.io/identifier: raycluster-autoscaler-worker
      ray.io/is-ray-node: "yes"
      ray.io/node-type: worker
    name: raycluster-autoscaler-worker-fake-gpu-group-2qnhv
    namespace: default
    ownerReferences:
    - apiVersion: ray.io/v1alpha1
      blockOwnerDeletion: true
      controller: true
      kind: RayCluster
      name: raycluster-autoscaler
      uid: ec79effb-0295-4f40-b08b-8633aa7f786a
    resourceVersion: "5805"
    uid: f1cadfb8-b76f-467d-9c2b-a1a5eb7d1d3f
  spec:
    containers:
    - args:
      - 'ulimit -n 65536; ray start  --address=raycluster-autoscaler-head-svc:6379  --metrics-export-port=8080  --num-cpus=1  --memory=536870912  --block  --num-gpus=1  --resources="{\"Custom1\":
        1, \"Custom2\": 5}" '
      command:
      - /bin/bash
      - -c
      - --
      env:
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      - name: RAY_PORT
        value: "6379"
      - name: RAY_ADDRESS
        value: raycluster-autoscaler-head-svc:6379
      - name: REDIS_PASSWORD
      image: gekho/ray
      imagePullPolicy: Always
      lifecycle:
        preStop:
          exec:
            command:
            - /bin/sh
            - -c
            - ray stop
      name: machine-learning
      ports:
      - containerPort: 8080
        name: metrics
        protocol: TCP
      resources:
        limits:
          cpu: "1"
          memory: 512Mi
        requests:
          cpu: 500m
          memory: 256Mi
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-ghm2j
        readOnly: true
    dnsPolicy: ClusterFirst
    enableServiceLinks: true
    initContainers:
    - command:
      - sh
      - -c
      - until nslookup $RAY_IP.$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace).svc.cluster.local;
        do echo waiting for myservice; sleep 2; done
      env:
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      image: busybox:1.28
      imagePullPolicy: IfNotPresent
      name: init-myservice
      resources: {}
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-ghm2j
        readOnly: true
    nodeName: gke-cluster-1-default-pool-a5503908-dpst
    preemptionPolicy: PreemptLowerPriority
    priority: 0
    restartPolicy: Always
    schedulerName: default-scheduler
    securityContext: {}
    serviceAccount: default
    serviceAccountName: default
    terminationGracePeriodSeconds: 30
    tolerations:
    - effect: NoExecute
      key: node.kubernetes.io/not-ready
      operator: Exists
      tolerationSeconds: 300
    - effect: NoExecute
      key: node.kubernetes.io/unreachable
      operator: Exists
      tolerationSeconds: 300
    volumes:
    - emptyDir:
        medium: Memory
        sizeLimit: 256Mi
      name: shared-mem
    - name: kube-api-access-ghm2j
      projected:
        defaultMode: 420
        sources:
        - serviceAccountToken:
            expirationSeconds: 3607
            path: token
        - configMap:
            items:
            - key: ca.crt
              path: ca.crt
            name: kube-root-ca.crt
        - downwardAPI:
            items:
            - fieldRef:
                apiVersion: v1
                fieldPath: metadata.namespace
              path: namespace
  status:
    conditions:
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:49Z"
      status: "True"
      type: Initialized
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:50Z"
      status: "True"
      type: Ready
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:50Z"
      status: "True"
      type: ContainersReady
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:47Z"
      status: "True"
      type: PodScheduled
    containerStatuses:
    - containerID: containerd://b6f4129ac590c62e41cc6db1a18fb051a29e3458fb47296086292a5765c36a6c
      image: docker.io/gekho/ray:latest
      imageID: docker.io/gekho/ray@sha256:7859a78d1a089bb88691864d5c4a2aad529f5353d7d9c82cc0274842fbda242b
      lastState: {}
      name: machine-learning
      ready: true
      restartCount: 0
      started: true
      state:
        running:
          startedAt: "2022-11-14T23:13:49Z"
    hostIP: 10.128.0.31
    initContainerStatuses:
    - containerID: containerd://5c946a3d443f76d21a3c72244edb4f80fc420b13b223f3c6981e25e689d381cf
      image: docker.io/library/busybox:1.28
      imageID: docker.io/library/busybox@sha256:141c253bc4c3fd0a201d32dc1f493bcf3fff003b6df416dea4f41046e0f37d47
      lastState: {}
      name: init-myservice
      ready: true
      restartCount: 0
      state:
        terminated:
          containerID: containerd://5c946a3d443f76d21a3c72244edb4f80fc420b13b223f3c6981e25e689d381cf
          exitCode: 0
          finishedAt: "2022-11-14T23:13:48Z"
          reason: Completed
          startedAt: "2022-11-14T23:13:48Z"
    phase: Running
    podIP: 10.4.0.6
    podIPs:
    - ip: 10.4.0.6
    qosClass: Burstable
    startTime: "2022-11-14T23:13:47Z"
- apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      key: value
      ray.io/ft-enabled: "false"
      ray.io/health-state: ""
    creationTimestamp: "2022-11-14T23:11:50Z"
    generateName: raycluster-autoscaler-worker-small-group-
    labels:
      app.kubernetes.io/created-by: kuberay-operator
      app.kubernetes.io/name: kuberay
      key: value
      ray.io/cluster: raycluster-autoscaler
      ray.io/cluster-dashboard: raycluster-autoscaler-dashboard
      ray.io/group: small-group
      ray.io/identifier: raycluster-autoscaler-worker
      ray.io/is-ray-node: "yes"
      ray.io/node-type: worker
    name: raycluster-autoscaler-worker-small-group-dkz2r
    namespace: default
    ownerReferences:
    - apiVersion: ray.io/v1alpha1
      blockOwnerDeletion: true
      controller: true
      kind: RayCluster
      name: raycluster-autoscaler
      uid: ec79effb-0295-4f40-b08b-8633aa7f786a
    resourceVersion: "5322"
    uid: b4fb3233-6024-48a8-9f4f-a18f5e490629
  spec:
    containers:
    - args:
      - 'ulimit -n 65536; ray start  --block  --resources="{\"Custom1\": 1, \"Custom2\":
        5}"  --address=raycluster-autoscaler-head-svc:6379  --metrics-export-port=8080  --num-cpus=1  --memory=536870912 '
      command:
      - /bin/bash
      - -c
      - --
      env:
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      - name: RAY_PORT
        value: "6379"
      - name: RAY_ADDRESS
        value: raycluster-autoscaler-head-svc:6379
      - name: REDIS_PASSWORD
      image: gekho/ray
      imagePullPolicy: Always
      lifecycle:
        preStop:
          exec:
            command:
            - /bin/sh
            - -c
            - ray stop
      name: machine-learning
      ports:
      - containerPort: 8080
        name: metrics
        protocol: TCP
      resources:
        limits:
          cpu: "1"
          memory: 512Mi
        requests:
          cpu: 500m
          memory: 256Mi
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-djtd9
        readOnly: true
    dnsPolicy: ClusterFirst
    enableServiceLinks: true
    initContainers:
    - command:
      - sh
      - -c
      - until nslookup $RAY_IP.$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace).svc.cluster.local;
        do echo waiting for myservice; sleep 2; done
      env:
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      image: busybox:1.28
      imagePullPolicy: IfNotPresent
      name: init-myservice
      resources: {}
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-djtd9
        readOnly: true
    nodeName: gke-cluster-1-default-pool-a5503908-j51d
    preemptionPolicy: PreemptLowerPriority
    priority: 0
    restartPolicy: Always
    schedulerName: default-scheduler
    securityContext: {}
    serviceAccount: default
    serviceAccountName: default
    terminationGracePeriodSeconds: 30
    tolerations:
    - effect: NoExecute
      key: node.kubernetes.io/not-ready
      operator: Exists
      tolerationSeconds: 300
    - effect: NoExecute
      key: node.kubernetes.io/unreachable
      operator: Exists
      tolerationSeconds: 300
    volumes:
    - emptyDir:
        medium: Memory
        sizeLimit: 256Mi
      name: shared-mem
    - name: kube-api-access-djtd9
      projected:
        defaultMode: 420
        sources:
        - serviceAccountToken:
            expirationSeconds: 3607
            path: token
        - configMap:
            items:
            - key: ca.crt
              path: ca.crt
            name: kube-root-ca.crt
        - downwardAPI:
            items:
            - fieldRef:
                apiVersion: v1
                fieldPath: metadata.namespace
              path: namespace
  status:
    conditions:
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:11:51Z"
      status: "True"
      type: Initialized
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:12:55Z"
      status: "True"
      type: Ready
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:12:55Z"
      status: "True"
      type: ContainersReady
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:11:50Z"
      status: "True"
      type: PodScheduled
    containerStatuses:
    - containerID: containerd://91fe3b347c34ebf74e99b67accd0d2c7fcce64886525dedbbd9d735d531da8ca
      image: docker.io/gekho/ray:latest
      imageID: docker.io/gekho/ray@sha256:7859a78d1a089bb88691864d5c4a2aad529f5353d7d9c82cc0274842fbda242b
      lastState: {}
      name: machine-learning
      ready: true
      restartCount: 0
      started: true
      state:
        running:
          startedAt: "2022-11-14T23:12:55Z"
    hostIP: 10.128.0.43
    initContainerStatuses:
    - containerID: containerd://672d9a5836e27a17f57a4e15e1d86431cfee6f2edef1210d60e864e3c510aac0
      image: docker.io/library/busybox:1.28
      imageID: docker.io/library/busybox@sha256:141c253bc4c3fd0a201d32dc1f493bcf3fff003b6df416dea4f41046e0f37d47
      lastState: {}
      name: init-myservice
      ready: true
      restartCount: 0
      state:
        terminated:
          containerID: containerd://672d9a5836e27a17f57a4e15e1d86431cfee6f2edef1210d60e864e3c510aac0
          exitCode: 0
          finishedAt: "2022-11-14T23:11:51Z"
          reason: Completed
          startedAt: "2022-11-14T23:11:51Z"
    phase: Running
    podIP: 10.4.1.8
    podIPs:
    - ip: 10.4.1.8
    qosClass: Burstable
    startTime: "2022-11-14T23:11:50Z"
- apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      key: value
      ray.io/ft-enabled: "false"
      ray.io/health-state: ""
    creationTimestamp: "2022-11-14T23:13:37Z"
    generateName: raycluster-autoscaler-worker-small-group-
    labels:
      app.kubernetes.io/created-by: kuberay-operator
      app.kubernetes.io/name: kuberay
      key: value
      ray.io/cluster: raycluster-autoscaler
      ray.io/cluster-dashboard: raycluster-autoscaler-dashboard
      ray.io/group: small-group
      ray.io/identifier: raycluster-autoscaler-worker
      ray.io/is-ray-node: "yes"
      ray.io/node-type: worker
    name: raycluster-autoscaler-worker-small-group-lbfm4
    namespace: default
    ownerReferences:
    - apiVersion: ray.io/v1alpha1
      blockOwnerDeletion: true
      controller: true
      kind: RayCluster
      name: raycluster-autoscaler
      uid: ec79effb-0295-4f40-b08b-8633aa7f786a
    resourceVersion: "5708"
    uid: b9a000d5-d1de-47b8-91c7-3c51150bc669
  spec:
    containers:
    - args:
      - 'ulimit -n 65536; ray start  --resources="{\"Custom1\": 1, \"Custom2\": 5}"  --address=raycluster-autoscaler-head-svc:6379  --metrics-export-port=8080  --num-cpus=1  --memory=536870912  --block '
      command:
      - /bin/bash
      - -c
      - --
      env:
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      - name: RAY_PORT
        value: "6379"
      - name: RAY_ADDRESS
        value: raycluster-autoscaler-head-svc:6379
      - name: REDIS_PASSWORD
      image: gekho/ray
      imagePullPolicy: Always
      lifecycle:
        preStop:
          exec:
            command:
            - /bin/sh
            - -c
            - ray stop
      name: machine-learning
      ports:
      - containerPort: 8080
        name: metrics
        protocol: TCP
      resources:
        limits:
          cpu: "1"
          memory: 512Mi
        requests:
          cpu: 500m
          memory: 256Mi
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-bblr7
        readOnly: true
    dnsPolicy: ClusterFirst
    enableServiceLinks: true
    initContainers:
    - command:
      - sh
      - -c
      - until nslookup $RAY_IP.$(cat /var/run/secrets/kubernetes.io/serviceaccount/namespace).svc.cluster.local;
        do echo waiting for myservice; sleep 2; done
      env:
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      image: busybox:1.28
      imagePullPolicy: IfNotPresent
      name: init-myservice
      resources: {}
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-bblr7
        readOnly: true
    nodeName: gke-cluster-1-default-pool-a5503908-dpst
    preemptionPolicy: PreemptLowerPriority
    priority: 0
    restartPolicy: Always
    schedulerName: default-scheduler
    securityContext: {}
    serviceAccount: default
    serviceAccountName: default
    terminationGracePeriodSeconds: 30
    tolerations:
    - effect: NoExecute
      key: node.kubernetes.io/not-ready
      operator: Exists
      tolerationSeconds: 300
    - effect: NoExecute
      key: node.kubernetes.io/unreachable
      operator: Exists
      tolerationSeconds: 300
    volumes:
    - emptyDir:
        medium: Memory
        sizeLimit: 256Mi
      name: shared-mem
    - name: kube-api-access-bblr7
      projected:
        defaultMode: 420
        sources:
        - serviceAccountToken:
            expirationSeconds: 3607
            path: token
        - configMap:
            items:
            - key: ca.crt
              path: ca.crt
            name: kube-root-ca.crt
        - downwardAPI:
            items:
            - fieldRef:
                apiVersion: v1
                fieldPath: metadata.namespace
              path: namespace
  status:
    conditions:
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:39Z"
      status: "True"
      type: Initialized
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:40Z"
      status: "True"
      type: Ready
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:40Z"
      status: "True"
      type: ContainersReady
    - lastProbeTime: null
      lastTransitionTime: "2022-11-14T23:13:37Z"
      status: "True"
      type: PodScheduled
    containerStatuses:
    - containerID: containerd://5680b43a1990a57f0a9adc834e5c361e85716866ed7129304794ba42c141f483
      image: docker.io/gekho/ray:latest
      imageID: docker.io/gekho/ray@sha256:7859a78d1a089bb88691864d5c4a2aad529f5353d7d9c82cc0274842fbda242b
      lastState: {}
      name: machine-learning
      ready: true
      restartCount: 0
      started: true
      state:
        running:
          startedAt: "2022-11-14T23:13:39Z"
    hostIP: 10.128.0.31
    initContainerStatuses:
    - containerID: containerd://57423dd9569b214256a2f051e0a449c8611dde0597893c69002569fd4c146390
      image: docker.io/library/busybox:1.28
      imageID: docker.io/library/busybox@sha256:141c253bc4c3fd0a201d32dc1f493bcf3fff003b6df416dea4f41046e0f37d47
      lastState: {}
      name: init-myservice
      ready: true
      restartCount: 0
      state:
        terminated:
          containerID: containerd://57423dd9569b214256a2f051e0a449c8611dde0597893c69002569fd4c146390
          exitCode: 0
          finishedAt: "2022-11-14T23:13:38Z"
          reason: Completed
          startedAt: "2022-11-14T23:13:38Z"
    phase: Running
    podIP: 10.4.0.5
    podIPs:
    - ip: 10.4.0.5
    qosClass: Burstable
    startTime: "2022-11-14T23:13:37Z"
- apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      cloud.google.com/cluster_autoscaler_unhelpable_since: 2025-06-19T07:34:20+0000
      cloud.google.com/cluster_autoscaler_unhelpable_until: Inf
      ray.io/ft-enabled: "false"
    creationTimestamp: "2025-06-19T07:34:20Z"
    generateName: raycluster-autoscaler-worker-tpu-group-
    labels:
      app.kubernetes.io/created-by: kuberay-operator
      app.kubernetes.io/name: kuberay
      ray.io/cluster: raycluster-autoscaler
      ray.io/group: tpu-group
      ray.io/identifier: raycluster-autoscaler-worker
      ray.io/is-ray-node: "yes"
      ray.io/node-type: worker
      replicaIndex: tpu-group-0
    name: raycluster-autoscaler-tpu-group-worker-jd69f
    namespace: default
    ownerReferences:
    - apiVersion: ray.io/v1
      blockOwnerDeletion: true
      controller: true
      kind: RayCluster
      name: raycluster-autoscaler
      uid: 9022aa6b-0090-4707-9dd9-96ed4895e401
    resourceVersion: "1750318759258511010"
    uid: 95f0f375-8e99-40f7-b804-68912387555a
  spec:
    affinity:
      podAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchExpressions:
            - key: replicaIndex
              operator: In
              values:
              - tpu-group-0
          topologyKey: cloud.google.com/gke-nodepool
    containers:
    - args:
      - 'ulimit -n 65536; ray start  --address=raycluster-autoscaler-head-svc.default.svc.cluster.local:6379  --metrics-export-port=8080  --block  --dashboard-agent-listen-port=52365  --num-cpus=1  --memory=40000000000 '
      command:
      - /bin/bash
      - -lc
      - --
      env:
      - name: FQ_RAY_IP
        value: raycluster-autoscaler-head-svc.default.svc.cluster.local
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      - name: RAY_CLUSTER_NAME
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.labels['ray.io/cluster']
      - name: RAY_CLOUD_INSTANCE_ID
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.name
      - name: RAY_NODE_TYPE_NAME
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.labels['ray.io/group']
      - name: KUBERAY_GEN_RAY_START_CMD
        value: 'ray start  --address=raycluster-autoscaler-head-svc.default.svc.cluster.local:6379  --metrics-export-port=8080  --block  --dashboard-agent-listen-port=52365  --num-cpus=1  --memory=40000000000 '
      - name: RAY_PORT
        value: "6379"
      - name: RAY_ADDRESS
        value: raycluster-autoscaler-head-svc.default.svc.cluster.local:6379
      - name: RAY_USAGE_STATS_KUBERAY_IN_USE
        value: "1"
      - name: REDIS_PASSWORD
      - name: RAY_DASHBOARD_ENABLE_K8S_DISK_USAGE
        value: "1"
      - name: TPU_WORKER_HOSTNAMES
        value: tpu-group-0-0.raycluster-autoscaler-headless-worker-svc,tpu-group-0-1.raycluster-autoscaler-headless-worker-svc
      - name: TPU_WORKER_ID
        value: "1"
      - name: TPU_NAME
        value: tpu-group-0
      image: rayproject/ray:2.46.0-py310
      imagePullPolicy: IfNotPresent
      livenessProbe:
        exec:
          command:
          - bash
          - -c
          - wget -T 2 -q -O- http://localhost:52365/api/local_raylet_healthz | grep
            success
        failureThreshold: 120
        initialDelaySeconds: 30
        periodSeconds: 5
        successThreshold: 1
        timeoutSeconds: 2
      name: ray-worker
      ports:
      - containerPort: 8080
        name: metrics
        protocol: TCP
      readinessProbe:
        exec:
          command:
          - bash
          - -c
          - wget -T 2 -q -O- http://localhost:52365/api/local_raylet_healthz | grep
            success
        failureThreshold: 10
        initialDelaySeconds: 10
        periodSeconds: 5
        successThreshold: 1
        timeoutSeconds: 2
      resources:
        limits:
          cpu: "1"
          ephemeral-storage: 20Gi
          google.com/tpu: "4"
          memory: 40G
        requests:
          cpu: "1"
          ephemeral-storage: 10Gi
          google.com/tpu: "4"
          memory: 40G
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-nxnbq
        readOnly: true
    dnsPolicy: ClusterFirst
    enableServiceLinks: true
    hostname: tpu-group-0-1
    nodeName: gke-tpu-2b029696-76nc
    nodeSelector:
      cloud.google.com/gke-accelerator-count: "4"
      cloud.google.com/gke-tpu-accelerator: tpu-v4-podslice
      cloud.google.com/gke-tpu-topology: 2x2x2
    preemptionPolicy: PreemptLowerPriority
    priority: 0
    restartPolicy: Always
    schedulerName: default-scheduler
    securityContext: {}
    serviceAccount: default
    serviceAccountName: default
    subdomain: raycluster-autoscaler-headless-worker-svc
    terminationGracePeriodSeconds: 30
    tolerations:
    - effect: NoExecute
      key: node.kubernetes.io/not-ready
      operator: Exists
      tolerationSeconds: 300
    - effect: NoExecute
      key: node.kubernetes.io/unreachable
      operator: Exists
      tolerationSeconds: 300
    - effect: NoSchedule
      key: google.com/tpu
      operator: Exists
    volumes:
    - emptyDir:
        medium: Memory
        sizeLimit: 40G
      name: shared-mem
    - name: kube-api-access-nxnbq
      projected:
        defaultMode: 420
        sources:
        - serviceAccountToken:
            expirationSeconds: 3607
            path: token
        - configMap:
            items:
            - key: ca.crt
              path: ca.crt
            name: kube-root-ca.crt
        - downwardAPI:
            items:
            - fieldRef:
                apiVersion: v1
                fieldPath: metadata.namespace
              path: namespace
  status:
    conditions:
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:39:08Z"
      status: "True"
      type: PodReadyToStartContainers
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:38:43Z"
      status: "True"
      type: Initialized
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:39:19Z"
      status: "True"
      type: Ready
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:39:19Z"
      status: "True"
      type: ContainersReady
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:38:43Z"
      status: "True"
      type: PodScheduled
    containerStatuses:
    - containerID: containerd://a5c129309656aa84e80174fab530b26e0a8664e5168ef6a917ed3519fb3e2978
      image: docker.io/rayproject/ray:2.46.0-py310
      imageID: docker.io/rayproject/ray@sha256:812a7c6439306dca5cffc49d58a2a29f7da108565e8d4a044f84d4fa75d39c42
      lastState: {}
      name: ray-worker
      ready: true
      restartCount: 0
      started: true
      state:
        running:
          startedAt: "2025-06-19T07:39:08Z"
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-nxnbq
        readOnly: true
        recursiveReadOnly: Disabled
    hostIP: 10.130.0.88
    hostIPs:
    - ip: 10.130.0.88
    phase: Running
    podIP: 10.24.8.4
    podIPs:
    - ip: 10.24.8.4
    qosClass: Guaranteed
    startTime: "2025-06-19T07:38:43Z"
- apiVersion: v1
  kind: Pod
  metadata:
    annotations:
      cloud.google.com/cluster_autoscaler_unhelpable_since: 2025-06-19T07:34:19+0000
      cloud.google.com/cluster_autoscaler_unhelpable_until: Inf
      ray.io/ft-enabled: "false"
    creationTimestamp: "2025-06-19T07:34:19Z"
    generateName: raycluster-autoscaler-worker-tpu-group-
    labels:
      app.kubernetes.io/created-by: kuberay-operator
      app.kubernetes.io/name: kuberay
      ray.io/cluster: raycluster-autoscaler
      ray.io/group: tpu-group
      ray.io/identifier: raycluster-autoscaler-worker
      ray.io/is-ray-node: "yes"
      ray.io/node-type: worker
      replicaIndex: tpu-group-0
    name: raycluster-autoscaler-tpu-group-worker-s8jhq
    namespace: default
    ownerReferences:
    - apiVersion: ray.io/v1
      blockOwnerDeletion: true
      controller: true
      kind: RayCluster
      name: raycluster-autoscaler
      uid: 9022aa6b-0090-4707-9dd9-96ed4895e401
    resourceVersion: "1750318759835855004"
    uid: bab4b83e-539c-4206-afc7-32a837a2bc3c
  spec:
    affinity:
      podAffinity:
        requiredDuringSchedulingIgnoredDuringExecution:
        - labelSelector:
            matchExpressions:
            - key: replicaIndex
              operator: In
              values:
              - tpu-group-0
          topologyKey: cloud.google.com/gke-nodepool
    containers:
    - args:
      - 'ulimit -n 65536; ray start  --num-cpus=1  --memory=40000000000  --address=raycluster-autoscaler-head-svc.default.svc.cluster.local:6379  --metrics-export-port=8080  --block  --dashboard-agent-listen-port=52365 '
      command:
      - /bin/bash
      - -lc
      - --
      env:
      - name: FQ_RAY_IP
        value: raycluster-autoscaler-head-svc.default.svc.cluster.local
      - name: RAY_IP
        value: raycluster-autoscaler-head-svc
      - name: RAY_CLUSTER_NAME
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.labels['ray.io/cluster']
      - name: RAY_CLOUD_INSTANCE_ID
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.name
      - name: RAY_NODE_TYPE_NAME
        valueFrom:
          fieldRef:
            apiVersion: v1
            fieldPath: metadata.labels['ray.io/group']
      - name: KUBERAY_GEN_RAY_START_CMD
        value: 'ray start  --num-cpus=1  --memory=40000000000  --address=raycluster-autoscaler-head-svc.default.svc.cluster.local:6379  --metrics-export-port=8080  --block  --dashboard-agent-listen-port=52365 '
      - name: RAY_PORT
        value: "6379"
      - name: RAY_ADDRESS
        value: raycluster-autoscaler-head-svc.default.svc.cluster.local:6379
      - name: RAY_USAGE_STATS_KUBERAY_IN_USE
        value: "1"
      - name: REDIS_PASSWORD
      - name: RAY_DASHBOARD_ENABLE_K8S_DISK_USAGE
        value: "1"
      - name: TPU_WORKER_HOSTNAMES
        value: tpu-group-0-0.raycluster-autoscaler-headless-worker-svc,tpu-group-0-1.raycluster-autoscaler-headless-worker-svc
      - name: TPU_WORKER_ID
        value: "0"
      - name: TPU_NAME
        value: tpu-group-0
      image: rayproject/ray:2.46.0-py310
      imagePullPolicy: IfNotPresent
      livenessProbe:
        exec:
          command:
          - bash
          - -c
          - wget -T 2 -q -O- http://localhost:52365/api/local_raylet_healthz | grep
            success
        failureThreshold: 120
        initialDelaySeconds: 30
        periodSeconds: 5
        successThreshold: 1
        timeoutSeconds: 2
      name: ray-worker
      ports:
      - containerPort: 8080
        name: metrics
        protocol: TCP
      readinessProbe:
        exec:
          command:
          - bash
          - -c
          - wget -T 2 -q -O- http://localhost:52365/api/local_raylet_healthz | grep
            success
        failureThreshold: 10
        initialDelaySeconds: 10
        periodSeconds: 5
        successThreshold: 1
        timeoutSeconds: 2
      resources:
        limits:
          cpu: "1"
          ephemeral-storage: 20Gi
          google.com/tpu: "4"
          memory: 40G
        requests:
          cpu: "1"
          ephemeral-storage: 10Gi
          google.com/tpu: "4"
          memory: 40G
      terminationMessagePath: /dev/termination-log
      terminationMessagePolicy: File
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-f7wqp
        readOnly: true
    dnsPolicy: ClusterFirst
    enableServiceLinks: true
    hostname: tpu-group-0-0
    nodeName: gke-tpu-2b029696-3gvz
    nodeSelector:
      cloud.google.com/gke-accelerator-count: "4"
      cloud.google.com/gke-tpu-accelerator: tpu-v4-podslice
      cloud.google.com/gke-tpu-topology: 2x2x2
    preemptionPolicy: PreemptLowerPriority
    priority: 0
    restartPolicy: Always
    schedulerName: default-scheduler
    securityContext: {}
    serviceAccount: default
    serviceAccountName: default
    subdomain: raycluster-autoscaler-headless-worker-svc
    terminationGracePeriodSeconds: 30
    tolerations:
    - effect: NoExecute
      key: node.kubernetes.io/not-ready
      operator: Exists
      tolerationSeconds: 300
    - effect: NoExecute
      key: node.kubernetes.io/unreachable
      operator: Exists
      tolerationSeconds: 300
    - effect: NoSchedule
      key: google.com/tpu
      operator: Exists
    volumes:
    - emptyDir:
        medium: Memory
        sizeLimit: 40G
      name: shared-mem
    - name: kube-api-access-f7wqp
      projected:
        defaultMode: 420
        sources:
        - serviceAccountToken:
            expirationSeconds: 3607
            path: token
        - configMap:
            items:
            - key: ca.crt
              path: ca.crt
            name: kube-root-ca.crt
        - downwardAPI:
            items:
            - fieldRef:
                apiVersion: v1
                fieldPath: metadata.namespace
              path: namespace
  status:
    conditions:
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:39:06Z"
      status: "True"
      type: PodReadyToStartContainers
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:38:39Z"
      status: "True"
      type: Initialized
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:39:19Z"
      status: "True"
      type: Ready
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:39:19Z"
      status: "True"
      type: ContainersReady
    - lastProbeTime: null
      lastTransitionTime: "2025-06-19T07:38:39Z"
      status: "True"
      type: PodScheduled
    containerStatuses:
    - containerID: containerd://c4174cbb26bba07aa5aed928fedd5b24c8913d3d2826f8fca198277dfeeaa26e
      image: docker.io/rayproject/ray:2.46.0-py310
      imageID: docker.io/rayproject/ray@sha256:812a7c6439306dca5cffc49d58a2a29f7da108565e8d4a044f84d4fa75d39c42
      lastState: {}
      name: ray-worker
      ready: true
      restartCount: 0
      started: true
      state:
        running:
          startedAt: "2025-06-19T07:39:05Z"
      volumeMounts:
      - mountPath: /dev/shm
        name: shared-mem
      - mountPath: /var/run/secrets/kubernetes.io/serviceaccount
        name: kube-api-access-f7wqp
        readOnly: true
        recursiveReadOnly: Disabled
    hostIP: 10.130.0.138
    hostIPs:
    - ip: 10.130.0.138
    phase: Running
    podIP: 10.24.9.4
    podIPs:
    - ip: 10.24.9.4
    qosClass: Guaranteed
    startTime: "2025-06-19T07:38:39Z"
kind: List
metadata:
  resourceVersion: ""