Closed AndreasDeCrinis closed 3 years ago
@AndreasKappel thanks for creating this issue! What storage provider do you use in your Kubernetes cluster? We saw errors like this in clusters where there were problems with persistent storage being very slow.
Worth a try could be to test vcluster in non-persistence mode and see if the same error occurs. You can do this by creating a values.yaml
with:
storage:
persistence: false
Then create the vcluster with the following command (make sure you use vcluster CLI version v0.3.0-beta.0 or above):
vcluster create test -n test -f values.yaml
If that works without any problems, the storage provider is definitely the issue
disabling the persistence did the trick - but why? Storage Provisioning is working fine for the rest of the projects on the cluster
@AndreasKappel thanks for the answer! As k3s uses sqlite by default, a rather fast persistent storage is required or otherwise requests will hang and timeout as k3s is writing and reading quite quickly from the sqlite database. You can also try to use a mysql, postgresql or etcd data storage backend instead of sqlite, we have a guide in the docs for this: https://www.vcluster.com/docs/operator/external-datastore
ah ok then I will actually try our all flash storage class with super low latency. thanks for the hint with the external datastore. This might be an even better option as it can run in HA mode. I will close the issue
Hi,
I installed loft today on our onprem upstream kubernetes 1.19.10 cluster without any problem. Afterwards, I tried to create a vcluster which crashes constantly
I see lots of timeouts in the logs yet apiservices seem to be up and running
v1.admissionregistration.k8s.io failed with : Timeout: request did not complete within requested timeout 34s v1beta1.apiextensions.k8s.io failed with : Timeout: request did not complete within requested timeout 34s v1.apiextensions.k8s.io failed with : context deadline exceeded v1beta1.admissionregistration.k8s.io failed with : context deadline exceeded
loft.log
help would be highly appreciated