Containers in AKS cannot access Azure resources (Failed to resolve URL)
I have an API server (Python Flask) hosted on AKS. When the service starts, it: Access Azure key-vault to get storage account connection string use the connection string to perform CRUD jobs on Azure storage account > PS. The whole system consists of `ingress(clusterIP & loadbalancer)`, `service (clusterIP)`, and my `flask API` Then I deploy it to AKS, which works fine (except that the CPU usage is usually > 100%). Two days later, I noticed that the server started restarting over and over again. The error message looks like this: `azure.core.exceptions.ServiceRequestError: <urllib3.connection.HTTPSConnection object at 0x7fc1f5e0c550>: Failed to resolve 'MY_KEY_VAULT.vault.azure.net' ([Errno -3] Temporary failure in name resolution)` At first, I thought it was caused by key vault, so I put the connection string directly in my code. And same thing happened again, `Failed to resolve 'MY_STORAGE_ACCOUNT.blob.core.windows.net' ([Errno -3] Temporary failure in name resolution` After my first deployment, I did nothing to my AKS resources. Below is basic info about my AKS: One possible root cause is that I set auto upgrade to `enable`. Please give me some suggestions for debugging, thanks! [Update -1] I deploy same container to another node pool. Things works fine ...AKS and NVIDIA A100 GPU support with Azure NDasrv4 Series
Hi there, We are using Azure's Standard_ND96asr_v4 instance types for our ML workloads and would love to use AKS images, instead of custom VM images to make it work. We ran into issues migrating from V100 to A100 GPUs, which could be addressed by installing the drivers and fabric managers mentioned in this help page: https://docs.microsoft.com/en-us/azure/machine-learning/data-science-virtual-machine/reference-known-issues#fix-gpu-on-nvidia-a100-gpu-chip---azure-ndasrv4-series Is there any plan to fix the AKS VM images with those packages so we don't have to maintain a separate image?
