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Optionally, REANA spawns user jobs to cluster nodes labelled with certain node_label_runtimejobs value, see https://docs.reana.io/administration/deployment/deploying-at-scale/ This helps to separate "infrastructure pods" from user runtime workloads pods for better isolation and safety in case user pods eat a lot of memory.
This is implemented in the job controller by doing:
We should make sure that reana-run-dask-... pods are also scheduled only onto cluster nodes labelled with "runtimejobs" label, if the deployment uses this feature.
The text was updated successfully, but these errors were encountered:
Optionally, REANA spawns user jobs to cluster nodes labelled with certain
node_label_runtimejobs
value, see https://docs.reana.io/administration/deployment/deploying-at-scale/ This helps to separate "infrastructure pods" from user runtime workloads pods for better isolation and safety in case user pods eat a lot of memory.This is implemented in the job controller by doing:
We should make sure that
reana-run-dask-...
pods are also scheduled only onto cluster nodes labelled with "runtimejobs" label, if the deployment uses this feature.The text was updated successfully, but these errors were encountered: