I have installed below helm chart with helm v2 with below command.
helm2 install stable/tensorflow-notebook -n tf2
It created below resources.
NAME READY STATUS RESTARTS AGE
pod/tf2-tensorflow-notebook-67c5df968b-rlhsm 0/2 ContainerCreating 0 89s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/tf2-tensorflow-notebook LoadBalancer 10.0.148.137 13.83.244.95 6006:32351/TCP,8888:32147/TCP 89s
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/tf2-tensorflow-notebook 0/1 1 0 90s
NAME DESIRED CURRENT READY AGE
replicaset.apps/tf2-tensorflow-notebook-67c5df968b 1 1 0 90s
This release created revision in kube-system namespace as configmap.
tf2.v1 1 114s
took backup of configmap using below command.
kubectl get configmap -n kube-system -l "OWNER=TILLER" -o yaml > mychart/template/helm_release.yaml
deleted helm "tf2" release.
helm2 delete tf2
helm2 delete --purge tf2
I tried below command for recreating resources. reference ref1.
helm2 install --name tf3 ./mychart
getting below error:
Error: no Chart.yaml exists in directory "/home/username/mychart"
Now, I want to create/restore resources/release "tf2" from configmap backup. I'm less sure about this, If we can create resouces out of this configmap.
The ConfigMap in the kube-system namespace is internal state used by Helm. You can't really do anything with it, and it's not something you need to back up or otherwise extract from the cluster. (The "ref2" link in the question notes that it exists but you can't decompile it in any useful way.) Similarly, there's no way to restore it, and it doesn't make sense to add it to a different Helm chart.
If you want to make a second duplicate installation of a chart, there are two commands that can help. helm fetch stable/tensorflow-notebook will give you a local tar file that contains the upstream chart, so even if it changes in the upstream repository, you'll have a local copy of it. helm get values tf2 will write out the combined set of YAML configuration that was used to install the chart.
In practice, this should work to duplicate an installation:
# Get the existing values from the installed release
helm get values tf2 > tf.yaml
# Reinstall using those values
helm install --name tf4 stable/tensorflow-notebook -n tf4 -f tf.yaml
If it's important to use a fixed version of the chart:
helm fetch stable/tensorflow-notebook
helm install --name tf5 ./tensorflow-notebook-*.tgz -n tf5 -f tf.yaml