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Tk4D72j4lmsIgEnGt5iTCreate an AWS CloudTrail trail and configuring it to an S3 bucket
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.
inputs
outputs
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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