Comments (2)
Dry Run modes have been added for both single & multi-account versions for release 1.4.0 of Assisted Log Enabler for AWS. You can use Dry Run by following these commands:
# Single Account Dry Run
python3 assisted_log_enabler.py --mode dryrun --single_account
# Multi-Account Dry Run
python3 assisted_log_enabler.py --mode dryrun --single_account
https://github.com/awslabs/assisted-log-enabler-for-aws#new-dry-run-mode
Release: https://github.com/awslabs/assisted-log-enabler-for-aws/releases/tag/v1.4.0
Thanks again for publishing this issue @jogarzon, please let us know if there's any additional feedback or requests you may have.
from assisted-log-enabler-for-aws.
Thanks for submitting this issue, I'll look to get this into one of the releases we have coming out in the next few weeks. I'll update the issue with our progress.
from assisted-log-enabler-for-aws.
Related Issues (18)
- Add support for Route 53 Resolver Query Logging HOT 3
- Create cleanup function for resources created HOT 2
- Break up the service functions in argparse HOT 1
- Add random string to end of bucket name HOT 1
- Feature Request: Add option to specify AWS accounts to include/exclude HOT 1
- Feature Request: Add support for load balancer access logs HOT 7
- Add CloudTrail tags and change trail name HOT 1
- Add S3 Logging HOT 1
- Enable ability to use preexisting S3 bucket HOT 3
- Fix issue with CloudTrail enablement logic
- Increase log retention time from 365 days to 400 days
- Add ability to have VPC Flow Logs stored in Parquet format
- Query: All aws resources will be covered by this tool?
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