I'm running the Kubernetes VPA on a GKE project. It has Vertical Pod Autoscaling enabled and I've run the
vpa-up.sh script from their Github VPA.
Furthermore, the pods running are JupyterHub notebook servers, which has been setup following: Zero to Jupyterhub with Kubernetes. They are created with 200m CPU limit and 100m CPU request:
As a test, I'm running an infinite for loop, printing the value every time, to get the CPU running.
When running the for loop in a notebook, the CPU usage quickly reaches the limit of 200m CPU. However the VPA never performs a scale, despite the
Auto. I've tried setting a
minAllowed for the VPA, but that still doesn't trigger a rescale.
... resourcePolicy: containerPolicies: - containerName: '*' minAllowed: cpu: 400m
So when describing the pod and autoscaler, the output shows:
NAME CPU(cores) MEMORY(bytes) jupyter-pytest 1m 411Mi
... recommendation: containerRecommendations: - containerName: jupyter-pytest lowerBound: cpu: 400m memory: 500Mi target: cpu: 400m memory: 500Mi uncappedTarget: cpu: 25m memory: 262144k upperBound: cpu: 400m memory: "951510605"
How come it doesn't perform a scale, despite the usage being below the