Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes

Course Q&A Machine Learning Engineering for Production(MLOps) Deploying Machine Learning Models in Production
1

Hi,

Upon trying to access the Autoscaling TensorFlow Model Deployments with TF Serving and Kubernetes Graded lab, I get the following error:

Lab failed on Thu, 23 Jun 2022 11:40:43 -0400: Failed to launch lab resource project_0: 2:Exception calling application: <_InactiveRpcError of RPC that terminated with: status = StatusCode.UNAVAILABLE details = “failed to connect to all addresses” debug_error_string = “{“created”:”@16559988… Any credits or tokens you used to start this lab have been refunded.

How should I troubleshoot this?

2

Hello,

I got the same problem. It seems google cloud are facing some issues right now thats what they told me on the live chat with thwir helpdesk.