AWS CLI gives you raw, unfiltered control over your S3 buckets, DynamoDB tables, and every other data store in your account. That power demands discipline. Without a clear approach to data control and retention, it’s only a matter of time before mistakes, compliance failures, or runaway storage costs catch you off guard.
Data control starts with scope. AWS CLI lets you decide exactly which objects, buckets, or tables to target, down to prefixes, tags, or specific keys. Use --include and --exclude filters to shape your queries. Combine them with IAM policies to enforce permission boundaries. Lock down deletion rights and keep write access separate from read privileges. Always confirm operations with --dryrun before pulling the trigger.
Retention is more than archiving. With AWS CLI, you can enforce lifecycle policies that expire or transition objects in S3 automatically. Use commands like aws s3api put-bucket-lifecycle-configuration to move cold data to Glacier, or delete it after a defined period. Align these rules with legal and compliance frameworks—HIPAA, GDPR, SOC 2—so your retention strategy isn’t just efficient, it’s defensible.
Versioning is your insurance policy. Enable it with aws s3api put-bucket-versioning and every update or deletion becomes reversible. Pair versioning with MFA delete and you’ll add a critical layer of friction to destructive commands. The CLI makes it easy to audit these settings and verify that your retention controls are operating as intended.