You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
So, I am using torchserve to create a handler and then using the ".mar" file for creating an inference service using kserve on kubeflow. I am able to see the custom metrics locally at 8082/metrics, but after deploying it, I am not able to see those custom metrics on the same endpoint, I am only able to see 3 metrics which are default I guess (ts_inference_latency_microseconds, ts_inference_requests_total, ts_queue_latency_microseconds). If any one has any idea about this please help me.
reacted with thumbs up emoji reacted with thumbs down emoji reacted with laugh emoji reacted with hooray emoji reacted with confused emoji reacted with heart emoji reacted with rocket emoji reacted with eyes emoji
-
So, I am using torchserve to create a handler and then using the ".mar" file for creating an inference service using kserve on kubeflow. I am able to see the custom metrics locally at 8082/metrics, but after deploying it, I am not able to see those custom metrics on the same endpoint, I am only able to see 3 metrics which are default I guess (ts_inference_latency_microseconds, ts_inference_requests_total, ts_queue_latency_microseconds). If any one has any idea about this please help me.
Using this - https://github.com/kserve/kserve/blob/master/qpext/README.md#configs
Thank you for your time
Beta Was this translation helpful? Give feedback.
All reactions