apiVersion: v1
items:
- apiVersion: ray.io/v1
  kind: RayCluster
  metadata:
    annotations:
      odh.ray.io/secure-trusted-network: "true"
    creationTimestamp: "2026-05-21T07:23:12Z"
    finalizers:
    - ray.io/authentication-resources
    generation: 1
    name: raycluster
    namespace: test-ns-srssp
    resourceVersion: "16837"
    uid: 845e0e7f-9a3a-475b-a58c-64ae23b62914
  spec:
    headGroupSpec:
      enableIngress: false
      rayStartParams:
        dashboard-host: 0.0.0.0
      template:
        metadata: {}
        spec:
          containers:
          - image: quay.io/modh/ray:2.54.1-py312-cu128
            name: ray-head
            ports:
            - containerPort: 6379
              name: gcs-server
              protocol: TCP
            - containerPort: 8000
              name: serve
              protocol: TCP
            - containerPort: 8265
              name: dashboard
              protocol: TCP
            - containerPort: 10001
              name: client
              protocol: TCP
            resources:
              limits:
                cpu: "2"
                memory: 10G
              requests:
                cpu: 500m
                memory: 6G
            volumeMounts:
            - mountPath: /home/ray/jobs
              name: jobs
          volumes:
          - configMap:
              name: jobs
            name: jobs
    rayVersion: 2.46.0
    workerGroupSpecs:
    - groupName: small-group
      maxReplicas: 1
      minReplicas: 1
      numOfHosts: 1
      rayStartParams:
        num-cpus: "1"
      replicas: 1
      scaleStrategy: {}
      template:
        metadata: {}
        spec:
          containers:
          - image: quay.io/modh/ray:2.54.1-py312-cu128
            name: ray-worker
            resources:
              limits:
                cpu: "1"
                memory: 3G
              requests:
                cpu: 500m
                memory: 1G
  status:
    availableWorkerReplicas: 1
    conditions:
    - lastTransitionTime: "2026-05-21T07:27:28Z"
      message: ""
      reason: HeadPodRunningAndReady
      status: "True"
      type: HeadPodReady
    - lastTransitionTime: "2026-05-21T07:27:39Z"
      message: All Ray Pods are ready for the first time
      reason: AllPodRunningAndReadyFirstTime
      status: "True"
      type: RayClusterProvisioned
    - lastTransitionTime: "2026-05-21T07:23:12Z"
      message: ""
      reason: RayClusterSuspended
      status: "False"
      type: RayClusterSuspended
    - lastTransitionTime: "2026-05-21T07:23:12Z"
      message: ""
      reason: RayClusterSuspending
      status: "False"
      type: RayClusterSuspending
    - lastTransitionTime: "2026-05-21T07:23:12Z"
      message: 'Authentication resources created successfully (mode: IntegratedOAuth)'
      observedGeneration: 1
      reason: AuthenticationResourcesCreated
      status: "True"
      type: AuthenticationReady
    desiredCPU: "1"
    desiredGPU: "0"
    desiredMemory: 7G
    desiredTPU: "0"
    desiredWorkerReplicas: 1
    endpoints:
      client: "10001"
      dashboard: "8265"
      gcs-server: "6379"
      metrics: "8080"
      serve: "8000"
    head:
      podIP: 10.133.0.23
      podName: raycluster-head-fbprt
      serviceIP: 10.133.0.23
      serviceName: raycluster-head-svc
    lastUpdateTime: "2026-05-21T07:27:39Z"
    maxWorkerReplicas: 1
    minWorkerReplicas: 1
    observedGeneration: 1
    readyWorkerReplicas: 1
    state: ready
    stateTransitionTimes:
      ready: "2026-05-21T07:27:39Z"
- apiVersion: ray.io/v1
  kind: RayJob
  metadata:
    creationTimestamp: "2026-05-21T07:35:47Z"
    finalizers:
    - ray.io/rayjob-finalizer
    generation: 2
    name: counter
    namespace: test-ns-srssp
    resourceVersion: "23911"
    uid: 1e699f02-b720-4e4a-be0f-ddd94f88834e
  spec:
    backoffLimit: 0
    clusterSelector:
      ray.io/cluster: raycluster
    entrypoint: python /home/ray/jobs/counter.py
    runtimeEnvYAML: |2

      env_vars:
        counter_name: test_counter
    submissionMode: K8sJobMode
    submitterPodTemplate:
      metadata: {}
      spec:
        containers:
        - image: quay.io/modh/ray:2.54.1-py312-cu128
          name: ray-job-submitter
          resources:
            limits:
              cpu: 500m
              memory: 500Mi
            requests:
              cpu: 200m
              memory: 200Mi
        restartPolicy: Never
    ttlSecondsAfterFinished: 0
  status:
    dashboardURL: raycluster-head-svc.test-ns-srssp.svc.cluster.local:8265
    endTime: "2026-05-21T07:36:06Z"
    failed: 0
    jobDeploymentStatus: Complete
    jobId: counter-xz8s9
    jobStatus: SUCCEEDED
    message: Job finished successfully.
    rayClusterName: raycluster
    rayClusterStatus:
      availableWorkerReplicas: 1
      conditions:
      - lastTransitionTime: "2026-05-21T07:27:28Z"
        message: ""
        reason: HeadPodRunningAndReady
        status: "True"
        type: HeadPodReady
      - lastTransitionTime: "2026-05-21T07:27:39Z"
        message: All Ray Pods are ready for the first time
        reason: AllPodRunningAndReadyFirstTime
        status: "True"
        type: RayClusterProvisioned
      - lastTransitionTime: "2026-05-21T07:23:12Z"
        message: ""
        reason: RayClusterSuspended
        status: "False"
        type: RayClusterSuspended
      - lastTransitionTime: "2026-05-21T07:23:12Z"
        message: ""
        reason: RayClusterSuspending
        status: "False"
        type: RayClusterSuspending
      - lastTransitionTime: "2026-05-21T07:23:12Z"
        message: 'Authentication resources created successfully (mode: IntegratedOAuth)'
        observedGeneration: 1
        reason: AuthenticationResourcesCreated
        status: "True"
        type: AuthenticationReady
      desiredCPU: "1"
      desiredGPU: "0"
      desiredMemory: 7G
      desiredTPU: "0"
      desiredWorkerReplicas: 1
      endpoints:
        client: "10001"
        dashboard: "8265"
        gcs-server: "6379"
        metrics: "8080"
        serve: "8000"
      head:
        podIP: 10.133.0.23
        podName: raycluster-head-fbprt
        serviceIP: 10.133.0.23
        serviceName: raycluster-head-svc
      lastUpdateTime: "2026-05-21T07:27:39Z"
      maxWorkerReplicas: 1
      minWorkerReplicas: 1
      observedGeneration: 1
      readyWorkerReplicas: 1
      state: ready
      stateTransitionTimes:
        ready: "2026-05-21T07:27:39Z"
    rayJobInfo:
      endTime: "2026-05-21T07:35:59Z"
      startTime: "2026-05-21T07:35:54Z"
    startTime: "2026-05-21T07:35:47Z"
    succeeded: 1
- apiVersion: ray.io/v1
  kind: RayJob
  metadata:
    creationTimestamp: "2026-05-21T07:36:01Z"
    finalizers:
    - ray.io/rayjob-finalizer
    generation: 2
    name: fail
    namespace: test-ns-srssp
    resourceVersion: "23930"
    uid: 5a2f594e-bd89-4213-bb85-54cc0eeca2e7
  spec:
    backoffLimit: 0
    clusterSelector:
      ray.io/cluster: raycluster
    entrypoint: python /home/ray/jobs/fail.py
    submissionMode: K8sJobMode
    submitterPodTemplate:
      metadata: {}
      spec:
        containers:
        - image: quay.io/modh/ray:2.54.1-py312-cu128
          name: ray-job-submitter
          resources:
            limits:
              cpu: 500m
              memory: 500Mi
            requests:
              cpu: 200m
              memory: 200Mi
        restartPolicy: Never
    ttlSecondsAfterFinished: 0
  status:
    dashboardURL: raycluster-head-svc.test-ns-srssp.svc.cluster.local:8265
    failed: 0
    jobDeploymentStatus: Running
    jobId: fail-95x7r
    jobStatus: FAILED
    message: "Job entrypoint command failed with exit code 1, last available logs
      (truncated to 20,000 chars):\n2026-05-21 07:36:08,526\tINFO job_manager.py:587
      -- Runtime env is setting up.\nRunning entrypoint for job fail-95x7r: python
      /home/ray/jobs/fail.py\nSomething is seriously wrong.\n"
    rayClusterName: raycluster
    rayClusterStatus:
      availableWorkerReplicas: 1
      conditions:
      - lastTransitionTime: "2026-05-21T07:27:28Z"
        message: ""
        reason: HeadPodRunningAndReady
        status: "True"
        type: HeadPodReady
      - lastTransitionTime: "2026-05-21T07:27:39Z"
        message: All Ray Pods are ready for the first time
        reason: AllPodRunningAndReadyFirstTime
        status: "True"
        type: RayClusterProvisioned
      - lastTransitionTime: "2026-05-21T07:23:12Z"
        message: ""
        reason: RayClusterSuspended
        status: "False"
        type: RayClusterSuspended
      - lastTransitionTime: "2026-05-21T07:23:12Z"
        message: ""
        reason: RayClusterSuspending
        status: "False"
        type: RayClusterSuspending
      - lastTransitionTime: "2026-05-21T07:23:12Z"
        message: 'Authentication resources created successfully (mode: IntegratedOAuth)'
        observedGeneration: 1
        reason: AuthenticationResourcesCreated
        status: "True"
        type: AuthenticationReady
      desiredCPU: "1"
      desiredGPU: "0"
      desiredMemory: 7G
      desiredTPU: "0"
      desiredWorkerReplicas: 1
      endpoints:
        client: "10001"
        dashboard: "8265"
        gcs-server: "6379"
        metrics: "8080"
        serve: "8000"
      head:
        podIP: 10.133.0.23
        podName: raycluster-head-fbprt
        serviceIP: 10.133.0.23
        serviceName: raycluster-head-svc
      lastUpdateTime: "2026-05-21T07:27:39Z"
      maxWorkerReplicas: 1
      minWorkerReplicas: 1
      observedGeneration: 1
      readyWorkerReplicas: 1
      state: ready
      stateTransitionTimes:
        ready: "2026-05-21T07:27:39Z"
    rayJobInfo:
      endTime: "2026-05-21T07:36:09Z"
      startTime: "2026-05-21T07:36:08Z"
    startTime: "2026-05-21T07:36:01Z"
    succeeded: 0
- apiVersion: ray.io/v1
  kind: RayJob
  metadata:
    creationTimestamp: "2026-05-21T07:35:44Z"
    generation: 1
    name: managed-externally
    namespace: test-ns-srssp
    resourceVersion: "23199"
    uid: 25b0c550-2b89-45f0-bc23-8f063d2b5cb1
  spec:
    backoffLimit: 0
    clusterSelector:
      ray.io/cluster: raycluster
    entrypoint: python /home/ray/jobs/counter.py
    managedBy: kueue.x-k8s.io/multikueue
    runtimeEnvYAML: |2

      env_vars:
        counter_name: test_counter
    submissionMode: K8sJobMode
    submitterPodTemplate:
      spec:
        containers:
        - image: quay.io/modh/ray:2.54.1-py312-cu128
          name: ray-job-submitter
          resources:
            limits:
              cpu: 500m
              memory: 500Mi
            requests:
              cpu: 200m
              memory: 200Mi
        restartPolicy: Never
    ttlSecondsAfterFinished: 0
kind: List
metadata:
  resourceVersion: ""