Graded lab: Implementing Canary Releases of TensorFlow Model Deployments with Kubernetes and Anthos Service Mesh help_outline language

I’m currently stuck on this graded lab. My deployments never get ‘ready’. I looked at GCP, and this is what I’m seeing. It says 0/3 nodes are available: 3 Insufficient cpu. preemption: 0/3 nodes are available: 3 No preemption victims found for incoming pod. I tried contacting Qwiklabs, who just said that they are working on the lab, which is already known to have issues. They won’t give me the grades manually, and I really don’t want to pay for yet another month of coursera. Can anyone help?

Hi @Wouter_Durnez
If it’s Quicklabs’s issue, you can contact Coursera and explain the issue to cancel your subscription. You can re-enroll once the lab is fixed.

Just a note to anyone else in this position - I had the same issue, but while it meant that the deployments never “readied up”, it didn’t prevent subsequent steps from taking place or the “Check Your Progress” marking from working properly. The curl requests would end up failing, but you can still go through the motions in the meantime and receive credit for the lab despite the issue.