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Comments (7)

kahkhang avatar kahkhang commented on August 16, 2024

It means that there is not enough resources to schedule those pods. You can increase the size of your node, or create another node in order to schedule these pods.

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c835722 avatar c835722 commented on August 16, 2024

ok. I did resize the worker node from 1G to 2G post the build.
Im trying to get the balance right between costs and kube functionality optimal.
Will feed back my actions and outcomes.

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c835722 avatar c835722 commented on August 16, 2024

Perhaps a minimum config needs to be stated to prevent users having to expend the time to experiment with this capacity issue.
Or perhaps as part of testing that is planned a validation of minimum capacity should be done. (As the stack gets higher the capacity required per release may go up, or as tuning goes on it may come down)

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c835722 avatar c835722 commented on August 16, 2024

going to try a reboot on the worker and just monitor that machine resources are stable before I move up the capacity config.

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c835722 avatar c835722 commented on August 16, 2024

After worker node restart only 1 pod failed to recover.
rook-ceph-mgr0-2487684371-3hvs5
rook
172.104.175.126
Waiting: CrashLoopBackOff
47
7 hours
Error syncing pod
Back-off restarting failed container

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kahkhang avatar kahkhang commented on August 16, 2024

You should remove the pod and the replication container will start a new one.

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kahkhang avatar kahkhang commented on August 16, 2024

Please feel free to open this issue again if the pod still doesn't come back up.

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