Datree installation fails in Minikube due to insufficient cpu

[royhadad]

There is a temporary workaround at the bottom of the issue

Describe the bug when trying to install Datree in my local minikube, I get the following error:

[debug] failed post-install: timed out waiting for the condition

To Reproduce

1. start minikube locally
2. apply some resources that will request some cpu
3. Install Datree using the one-liner https://github.com/datreeio/datree#2-install-datree-on-your-cluster

Expected behavior Datree should be installed successfully on the local cluster

Screenshots

Datree version (run datree version):

• Version: datree-admission-webhook-0.3.14

Temporary workaround Simply request less cpu for Datree resources (default is 1000m) when installing in a local minikube, either by editing the helm .values file, or using this one-liner instead:

helm install -n datree datree-webhook datree-webhook/datree-admission-webhook --create-namespace --set resources.requests.cpu=100m --set scanJob.resources.requests.cpu=100m --set datree.token=<TOKEN>

[Nikhil26112]

Is this issue resolved? @royhadad

[adifayer]

@Nikhil26112 Yes, the issue is resolved :)

[royhadad]

@Nikhil26112 Yep! By default, Datree is now installed without cpu request. When installing it on a production cluster, you should add cpu/memory requests and limits via the Values.yaml file