Access to model container logs for Sagemaker Async Endpoint

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I'm using the NVidia Triton deep learning container. When I configure using the standard endpoint it works fine, the cloud-watch log group /aws/sagemaker/Endpoints/[EndpointName] contain the container logs (i.e. messages written to the console from the inference script).

But using async-inference all I get is a single [production-variant-name]/[instance-id]/data-log containing the inforation from the async queue, i.e.

2024-04-22T01:59:25.220:[sagemaker logs] [9d5880e2-74fc-431a-b659-c126454b5cc5] Inference request succeeded. ModelLatency: 2267959 us, RequestDownloadLatency: 433665 us, ResponseUploadLatency: 148004 us, TimeInBacklog: 680581 ms, TotalProcessingTime: 683482 ms

This makes it really hard to diagnose issues - how do I access the actual logs from the container when running in async mode?

已提问 1 个月前128 查看次数
1 回答
0

Hello,

Thank you for using Amazon SageMaker.

At the moment, [production-variant-name]/[instance-id]/data-log are all the logs provided by Amazon SageMaker for asynchronous endpoints.

I have raised a feature request on your behalf to include the model container logs for async endpoints. While I am unable to comment on if/when this feature may get released, I request you to keep an eye on our What's New and Blog pages for any new feature announcements.

AWS
已回答 1 个月前

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