2 Risposte
- Più recenti
- Maggior numero di voti
- Maggior numero di commenti
2
I made a script for myself in python to output running instances, maybe it is helpful for your usecase.
import boto3 import csv client = boto3.client('sagemaker') response_apps = client.list_apps( #NextToken='string', MaxResults=10, SortOrder='Ascending', SortBy='CreationTime', ) running_instances = [] while True: for app in response_apps["Apps"]: if app["AppType"] != "JupyterServer" and app["Status"] != "Deleted": response = client.describe_app( DomainId=app["DomainId"], UserProfileName=app["UserProfileName"], AppType=app["AppType"], AppName=app["AppName"] ) #print(response) running_instances.append( { "AppArn": response["AppArn"], "DomainId": response["DomainId"], "UserProfileName": response["UserProfileName"], "Status": response["Status"], "InstanceType": response["ResourceSpec"]["InstanceType"], "CreationTime": str(response["CreationTime"]), "LastUserActivityTimestamp": str(response["LastUserActivityTimestamp"]), "SageMakerImageArn": response["ResourceSpec"]["SageMakerImageArn"], } ) if "NextToken" in response_apps: response_apps = client.list_apps( NextToken=response_apps["NextToken"], MaxResults=10, SortOrder='Ascending', SortBy='CreationTime' ) else: break print(running_instances) keys = running_instances[0].keys() with open('running_instances.csv', 'w', newline='') as output_file: dict_writer = csv.DictWriter(output_file, keys) dict_writer.writeheader() dict_writer.writerows(running_instances)
con risposta 8 mesi fa
0
You cannot view instance status since these are managed by SageMaker service. You can, however, use the list-apps
and describe-app
CLI calls to see the apps in service for the user, and work backwards to find the instances that are being used by the user.
con risposta un anno fa
Contenuto pertinente
- AWS UFFICIALEAggiornata 2 anni fa
- AWS UFFICIALEAggiornata 3 anni fa