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Currently we deployed callisto in kubernetes. We are facing one issue that
suppose if all the worker node resources are exhausted and still there are some more browser pods are pending for scheduling
then we are observing that by that time of new worker nodes comes up
pods are not waiting in pending state, but expectation is they should be in pending state till new nodes comes up.
they are waiting for 20sec and scheduling in already exhausted nodes, hence those nodes are restarting
note: we are using t3.xlarge instance types for worker nodes but planning to move to c5.xlarge Is there any configuration for browser pods to wait till new worker nodes comesup?
The text was updated successfully, but these errors were encountered:
Callisto doesn't schedule pods, it just requests new resource (browser pod) using Kubernetes API.
Looks like you need to check your k8s scheduler configuration, usually scheduler is quite rational at pods placement and it's trying to avoid the nodes with the resources pressure.
Regarding Callisto resources you can change the browser pods manifest or use helm values to introduce things like tolerations and affinity. It can be helpful if you want to improve scheduling in your cluster.
Currently we deployed callisto in kubernetes. We are facing one issue that
suppose if all the worker node resources are exhausted and still there are some more browser pods are pending for scheduling
then we are observing that by that time of new worker nodes comes up
note: we are using t3.xlarge instance types for worker nodes but planning to move to c5.xlarge
Is there any configuration for browser pods to wait till new worker nodes comesup?
The text was updated successfully, but these errors were encountered: