The AWS SDK for Python (Boto3) client for SageMaker AI provides a high-level method, stop_training_job, which triggers the StopTrainingJob API operation. import json import boto3 import logging logger = logging.getLogger() logger.setLevel(logging.INFO) def lambda_handler(event, context): ...
Set up Staging Construct Examples Update a model package stage and status in Studio Update a model package stage and status example (boto3) Invoke ModelLifeCycle using the AWS CLI examples Get event notifications for ModelLifeCycle Update Model Approval Status Deploy Model with Python Deploy Model ...
client('rds', region_name=region) sns_client = boto3.client('sns', region_name=region) # Specify the Amazon SNS topic ARN for notifications sns_topic_arn = 'arn:aws:sns:Your_Region:Your_Account_ID:Your_SNS_Topic_Name' # Retrieve instances with pending maintenance actions instances_with_...
It's a best practice to lock away the root user credentials and only use them for initial account setup and if you really need them. To create groups and users, enter “IAM” into the search bar at the top of the AWS console and click on the first result for IAM. ...
Next we’ll install Boto 3, which is anAWS SDK for Pythonthat will allow our application to interact with things like S3, EC2 and DigitalOcean Spaces. Because DigitalOcean Spaces is interoperable with Amazon S3, Spaces can interact with tools such as Boto 3 with ease. For more details on ...
STATICFILES_STORAGE = 'storages.backends.s3boto3.S3Boto3Storage' STATIC_URL = '{}/{}/'.format(AWS_S3_ENDPOINT_URL, AWS_LOCATION) STATIC_ROOT = 'static/' We define the following configuration items: AWS_ACCESS_KEY_ID: The Access Key ID for the Space, which y...
Set up the Hub portfolioThe first task is to set up the portfolio in the hub AWS account you intend to use to distribute your products. For this use case, I assume that you want to set up an identical hub portfolio in two AWS Regions and keep both portfolios ...
aws_access_key_id, aws_secret_access_key: set these to be the AWS access keys you intend to use for these tests, or you can use the same keys as those in your existing AWS credentials file (~/.aws/credentials). In the [GSUtil] section: default_project_id: if it is not already ...
In addition to the setup above, you need to prepare your AWS credentials for use with boto3, the Python AWS library. A long explanation is available here while the quick method is to: apt install awscli aws configure Bulk download of ArXiv PDFs This download costs about 100 USD (and ...
Je nachdem, wie Sie die Amazon Kendra API verwenden möchten, führen Sie einen der folgenden Schritte aus. Erste Schritte (AWS CLI) Erste Schritte (AWS SDK für Java) Erste Schritte (AWS SDK für Python (Boto3)) Hat Ihnen diese Seite geholfen? Ja Nein...