We ran into the following error when trying to call SageMaker SKlearn Container using SklearnProcess run(). Also the current boto3 version is 1.20.23 ( there is a github post indicated an issue with one boto3 release 1.16 with timeout issue). Looks like a missing permission for STS service? Any other suggestions?
- /opt/conda/lib/python3.7/site-packages/botocore/httpsession.py in send(self, request)
416 raise ProxyConnectionError(proxy_url=proxy_url, error=e)
417 except URLLib3ConnectTimeoutError as e:
--> 418 raise ConnectTimeoutError(endpoint_url=request.url, error=e)
419 except URLLib3ReadTimeoutError as e:
420 raise ReadTimeoutError(endpoint_url=request.url, error=e)
ConnectTimeoutError: Connect timeout on endpoint URL: "https://sts.us-xxxx-x.amazonaws.com/"
AWS OFICIALAtualizada há um ano
We added a vpc endpoint to the subnet hosting SageMaker to help resolve this timeout issue but it didn't work. Still go the same error