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Create an AWS CloudTrail trail and configuring it to an S3 bucket

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This task involves establishing a CloudTrail trail to monitor and record AWS account activities, and directing the log files to a specified S3 bucket for secure and centralized storage. This setup enables efficient auditing and analysis of AWS service usage and user activities.

import boto3 from botocore.exceptions import ClientError creds = _get_creds(cred_label)['creds'] access_key = creds['username'] secret_key = creds['password'] # AWS region configuration #region_name = 'us-east-1' # Replace with your desired AWS region # AWS CloudTrail client initialization with region ct_client = boto3.client('cloudtrail',aws_access_key_id=access_key,aws_secret_access_key=secret_key, region_name=region_name) # Trail and S3 bucket configuration #trail_name = 'my-cloudtrail-trail' # Replace with your desired trail name #bucket_name = 'my-logging-bucket' # Replace with your S3 bucket name try: # Check if the trail already exists trails = ct_client.list_trails() if any(trail['Name'] == trail_name for trail in trails['Trails']): print(f"Trail {trail_name} already exists.") else: # Create the trail ct_client.create_trail(Name=trail_name, S3BucketName=bucket_name) # Start logging ct_client.start_logging(Name=trail_name) print(f"CloudTrail trail {trail_name} created and logging started to {s3_bucket_name}.") except ClientError as e: print(f"Error creating CloudTrail trail: {e}") except Exception as e: print(f"A general error occurred: {e}")
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