Engineering Logs for Troubleshooting & Debugging
Problem Description The Horizontal Pod Autoscaler (HPA) in a Kubernetes‑based CI/CD pipeline is expected to add or remove training pods based on GPU utilization. In practice the HPA never scales out: the replica count stays at 1 even when GPU usage spikes to 95 % during model training. The symptom manifests as a growing job queue, … Read more
Problem – NVIDIA GPU Webhook Timeouts Under High API Traffic During peak loads on an API gateway that forwards real‑time inference requests to a Triton Inference Server (or similar GPU‑accelerated service), clients begin receiving HTTP 504 or custom webhook timeout errors. Typical log excerpts look like: 2024-05-28T14:12:03.421Z [ERROR] Triton Inference Server: Request timed out after … Read more
Problem – CRD Validation Failure When Deploying NVIDIA GPU Workloads After upgrading the NVIDIA GPU Operator (or during a fresh installation) AI training pods are rejected by the Kubernetes API server with errors such as: admission webhook “validation.gpu-operator.nvidia.com” denied the request: spec.gpus: Invalid value: “”: required property “count” missing error: unable to recognize “gpu-crd.yaml”: no … Read more