apiVersion: v1 items: - apiVersion: ray.io/v1 kind: RayCluster metadata: annotations: odh.ray.io/secure-trusted-network: "true" creationTimestamp: "2026-06-09T11:22:26Z" finalizers: - ray.io/authentication-resources generation: 1 name: raycluster namespace: test-ns-swwpd resourceVersion: "17782" uid: fad75157-f76f-4de0-bfc9-579cf01c2c00 spec: headGroupSpec: enableIngress: false rayStartParams: dashboard-host: 0.0.0.0 template: metadata: {} spec: containers: - image: quay.io/modh/ray@sha256:42fbc5d898cb9c7d202ee89308ef328838d42985ec384f2476d8f3356acd01cb 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@sha256:42fbc5d898cb9c7d202ee89308ef328838d42985ec384f2476d8f3356acd01cb name: ray-worker resources: limits: cpu: "1" memory: 3G requests: cpu: 500m memory: 1G status: availableWorkerReplicas: 1 conditions: - lastTransitionTime: "2026-06-09T11:26:33Z" message: "" reason: HeadPodRunningAndReady status: "True" type: HeadPodReady - lastTransitionTime: "2026-06-09T11:26:34Z" message: All Ray Pods are ready for the first time reason: AllPodRunningAndReadyFirstTime status: "True" type: RayClusterProvisioned - lastTransitionTime: "2026-06-09T11:22:26Z" message: "" reason: RayClusterSuspended status: "False" type: RayClusterSuspended - lastTransitionTime: "2026-06-09T11:22:26Z" message: "" reason: RayClusterSuspending status: "False" type: RayClusterSuspending - lastTransitionTime: "2026-06-09T11:22:26Z" 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: 10.132.0.20 podName: raycluster-head-2qmv9 serviceIP: 10.132.0.20 serviceName: raycluster-head-svc lastUpdateTime: "2026-06-09T11:26:34Z" maxWorkerReplicas: 1 minWorkerReplicas: 1 observedGeneration: 1 readyWorkerReplicas: 1 state: ready stateTransitionTimes: ready: "2026-06-09T11:26:34Z" - apiVersion: ray.io/v1 kind: RayJob metadata: creationTimestamp: "2026-06-09T11:36:15Z" finalizers: - ray.io/rayjob-finalizer generation: 2 name: counter namespace: test-ns-swwpd resourceVersion: "25695" uid: 6b8deadc-5f08-4430-afed-c579173135f1 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@sha256:42fbc5d898cb9c7d202ee89308ef328838d42985ec384f2476d8f3356acd01cb 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-swwpd.svc.cluster.local:8265 endTime: "2026-06-09T11:36:34Z" failed: 0 jobDeploymentStatus: Complete jobId: counter-x6sx2 jobStatus: SUCCEEDED message: Job finished successfully. rayClusterName: raycluster rayClusterStatus: availableWorkerReplicas: 1 conditions: - lastTransitionTime: "2026-06-09T11:26:33Z" message: "" reason: HeadPodRunningAndReady status: "True" type: HeadPodReady - lastTransitionTime: "2026-06-09T11:26:34Z" message: All Ray Pods are ready for the first time reason: AllPodRunningAndReadyFirstTime status: "True" type: RayClusterProvisioned - lastTransitionTime: "2026-06-09T11:22:26Z" message: "" reason: RayClusterSuspended status: "False" type: RayClusterSuspended - lastTransitionTime: "2026-06-09T11:22:26Z" message: "" reason: RayClusterSuspending status: "False" type: RayClusterSuspending - lastTransitionTime: "2026-06-09T11:22:26Z" 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: 10.132.0.20 podName: raycluster-head-2qmv9 serviceIP: 10.132.0.20 serviceName: raycluster-head-svc lastUpdateTime: "2026-06-09T11:26:34Z" maxWorkerReplicas: 1 minWorkerReplicas: 1 observedGeneration: 1 readyWorkerReplicas: 1 state: ready stateTransitionTimes: ready: "2026-06-09T11:26:34Z" rayJobInfo: endTime: "2026-06-09T11:36:27Z" startTime: "2026-06-09T11:36:23Z" startTime: "2026-06-09T11:36:15Z" succeeded: 1 - apiVersion: ray.io/v1 kind: RayJob metadata: creationTimestamp: "2026-06-09T11:36:27Z" finalizers: - ray.io/rayjob-finalizer generation: 2 name: fail namespace: test-ns-swwpd resourceVersion: "25704" uid: 66293ae7-04a8-4c89-b1fb-48eed191d00d 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@sha256:42fbc5d898cb9c7d202ee89308ef328838d42985ec384f2476d8f3356acd01cb 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-swwpd.svc.cluster.local:8265 failed: 0 jobDeploymentStatus: Running jobId: fail-wp7br jobStatus: FAILED message: "Job entrypoint command failed with exit code 1, last available logs (truncated to 20,000 chars):\n2026-06-09 11:36:35,439\tINFO job_manager.py:587 -- Runtime env is setting up.\nRunning entrypoint for job fail-wp7br: python /home/ray/jobs/fail.py\nSomething is seriously wrong.\n" rayClusterName: raycluster rayClusterStatus: availableWorkerReplicas: 1 conditions: - lastTransitionTime: "2026-06-09T11:26:33Z" message: "" reason: HeadPodRunningAndReady status: "True" type: HeadPodReady - lastTransitionTime: "2026-06-09T11:26:34Z" message: All Ray Pods are ready for the first time reason: AllPodRunningAndReadyFirstTime status: "True" type: RayClusterProvisioned - lastTransitionTime: "2026-06-09T11:22:26Z" message: "" reason: RayClusterSuspended status: "False" type: RayClusterSuspended - lastTransitionTime: "2026-06-09T11:22:26Z" message: "" reason: RayClusterSuspending status: "False" type: RayClusterSuspending - lastTransitionTime: "2026-06-09T11:22:26Z" 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: 10.132.0.20 podName: raycluster-head-2qmv9 serviceIP: 10.132.0.20 serviceName: raycluster-head-svc lastUpdateTime: "2026-06-09T11:26:34Z" maxWorkerReplicas: 1 minWorkerReplicas: 1 observedGeneration: 1 readyWorkerReplicas: 1 state: ready stateTransitionTimes: ready: "2026-06-09T11:26:34Z" rayJobInfo: endTime: "2026-06-09T11:36:36Z" startTime: "2026-06-09T11:36:35Z" startTime: "2026-06-09T11:36:27Z" succeeded: 0 - apiVersion: ray.io/v1 kind: RayJob metadata: creationTimestamp: "2026-06-09T11:36:12Z" generation: 1 name: managed-externally namespace: test-ns-swwpd resourceVersion: "24959" uid: 85fdd7bb-795f-4d51-ab57-0764ff44fb56 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@sha256:42fbc5d898cb9c7d202ee89308ef328838d42985ec384f2476d8f3356acd01cb name: ray-job-submitter resources: limits: cpu: 500m memory: 500Mi requests: cpu: 200m memory: 200Mi restartPolicy: Never ttlSecondsAfterFinished: 0 kind: List metadata: resourceVersion: ""