Hi!
Could you please help me
Context:
- I created a new project
- I created a auto-pilot GKE cluster
- I launched a super lightweight pod in the cluster
- I launched a gitlab runner in the cluster
Problem:
However, new pods are no longer created - because of the "0/2 nodes are available: 2 Insufficient cpu, 2 Insufficient memory. preemption: 0/2 nodes are available: 2 No preemption victims found for incoming pod" error
In IA&Admin -> Quotas&System Limits i see that "My Persistent Disk SSD" ("service" column value = Compute Engine API) quota is almost exceeded, 200GB/250GB is already in use, despite the fact that I did not fill anything
Debugging:
gcloud compute disks list -> empty
kubectl top nodes ->
NAME CPU(cores) CPU(%) MEMORY(bytes) MEMORY(%)
<pool-1> 169m 8% 1927Mi 32%
<pool-2> 241m 12% 2508Mi 42%
kubectl describe node <pool-1> ->
Resource Requests Limits
-------- -------- ------
ephemeral-storage 1Gi (2%) 1Gi (2%)
kubectl describe node <pool-2> ->
Resource Requests Limits
-------- -------- ------
ephemeral-storage 0 (0%) 0 (0%)
I'm not new in k8s, but I'm using GCP for the first time
Please tell me how to see what's taking up so much space?
Hi @Bruce_Q,
Welcome to Google Cloud Community!
This error “0/2 nodes are available: 2 Insufficient cpu, 2 Insufficient memory. preemption: 0/2 nodes are available: 2 No preemption victims found for incoming pod” occurs because Autopilot is still provisioning the underlying nodes required to run your Pods. This process can take a while, especially in a new cluster.
The fastest way to get your cluster functioning again is to Request a Quota Increase for "Persistent Disk SSD" in the Compute Engine API. This will give you more headroom and allow Autopilot to provision new nodes.
Free Tier accounts include a limited amount of Persistent Disk SSD storage each month. You can find details about the Google Kubernetes Engine Free Tier. For a related issue, see this Google Cloud Community Question.
If you need further assistance and any questions, please reach out to our Google Cloud Support team.
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