New JupyterHub on Dev High energy astrophysics server hanging

Could not start small dev-high energy astrophysics just now.

Output below.

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Spawn failed:

Event log

Server requested

2025-08-25T18:29:19.791065Z [Warning] 0/4 nodes are available: 1 Insufficient cpu, 1 node(s) didn’t match Pod’s node affinity/selector, 2 node(s) had untolerated taint {jupyter.org/used-by-singleuser: true}. preemption: 0/4 nodes are available: 1 node(s) didn’t match PersistentVolume’s node affinity, 3 Preemption is not helpful for scheduling.

2025-08-25T18:29:21Z [Normal] Pod should schedule on: nodeclaim/small-w6vxp

2025-08-25T18:29:23.715039Z [Warning] 0/4 nodes are available: 1 Insufficient cpu, 1 node(s) didn’t match Pod’s node affinity/selector, 2 node(s) had untolerated taint {jupyter.org/used-by-singleuser: true}. preemption: 0/4 nodes are available: 1 node(s) didn’t match PersistentVolume’s node affinity, 3 Preemption is not helpful for scheduling.

2025-08-25T18:29:45.697989Z [Warning] 0/5 nodes are available: 1 Insufficient cpu, 1 node(s) didn’t match Pod’s node affinity/selector, 1 node(s) had untolerated taint {node.cloudprovider.kubernetes.io/uninitialized: true}, 2 node(s) had untolerated taint {jupyter.org/used-by-singleuser: true}. preemption: 0/5 nodes are available: 1 node(s) didn’t match PersistentVolume’s node affinity, 4 Preemption is not helpful for scheduling.

2025-08-25T18:29:45.824061Z [Warning] 0/5 nodes are available: 1 Insufficient cpu, 1 node(s) didn’t match Pod’s node affinity/selector, 1 node(s) had untolerated taint {node.kubernetes.io/not-ready: }, 2 node(s) had untolerated taint {jupyter.org/used-by-singleuser: true}. preemption: 0/5 nodes are available: 1 node(s) didn’t match PersistentVolume’s node affinity, 4 Preemption is not helpful for scheduling.

2025-08-25T18:29:48.783470Z [Warning] 0/5 nodes are available: 1 Insufficient cpu, 1 node(s) didn’t match Pod’s node affinity/selector, 1 node(s) had untolerated taint {node.kubernetes.io/not-ready: }, 2 node(s) had untolerated taint {jupyter.org/used-by-singleuser: true}. preemption: 0/5 nodes are available: 1 node(s) didn’t match PersistentVolume’s node affinity, 4 Preemption is not helpful for scheduling.

2025-08-25T18:30:09.405699Z [Normal] Successfully assigned jupyterhub/jupyter-jeagle to ip-10-0-220-222.ec2.internal

2025-08-25T18:30:11Z [Normal] AttachVolume.Attach succeeded for volume “pvc-7da79e22-3549-40ea-8b56-e8496d7fff1a”

2025-08-25T18:30:18Z [Normal] Pulling image “alpine:3”

2025-08-25T18:30:19Z [Normal] Successfully pulled image “alpine:3” in 1.005s (1.005s including waiting). Image size: 3810510 bytes.

2025-08-25T18:30:19Z [Normal] Created container: nfs-fixer

2025-08-25T18:30:20Z [Normal] Started container nfs-fixer

2025-08-25T18:30:21Z [Normal] Pulling image “bitnami/kubectl:latest”

2025-08-25T18:30:36Z [Normal] Successfully pulled image “bitnami/kubectl:latest” in 14.649s (14.649s including waiting). Image size: 113261521 bytes.

2025-08-25T18:30:36Z [Normal] Created container: node-taint

2025-08-25T18:30:36Z [Normal] Started container node-taint

2025-08-25T18:30:37Z [Normal] Pulling image " Package fornax-images/fornax-hea · GitHub "

Spawn failed:

This is a known issue where the high energy image cannot run in the small instance. Core team is increasing the memory in the Small instance to handle that. In the mean time, you can use the medium instance instead.

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The increased RAM for the small instance fixed the issue.

1 Like