Proposed flow for this scenario
- Current object view
- All versions and markers
- Preservation decision
- Version-specific deletion results
- Recheck full emptiness
- Bucket deletion permission
This flow describes a design to evaluate. Follow the supported console workflow below to practice with local resources. Its scope appears with the controls; no cloud resources are provisioned.
Decision checkpoints
| Choice | Fits when | Watch for |
|---|---|---|
| Retain the bucket and history | The name or retained recovery data remains useful. | Treating a cleanup error as a reason to discard every version. |
| Explicit all-version cleanup | The synthetic history is intentionally expendable. | Equating adding delete markers with permanent emptiness. |
Start with the failed operation
The synthetic LetX bucket has no visible current files, but DeleteBucket reports that it is not empty. Switch to the version view before editing permissions. An ordinary deletion can create a marker while leaving prior data revisions present.
List retained object versions and markers across the bucket, not only the open folder prefix. A folder-style presentation is a view of keys, so hidden history in another prefix can still block deletion. Count what remains before deciding what may be removed.
Separate retention from authorization
Decide whether the remaining versions must be preserved or exported. Emptying a versioned bucket permanently removes recovery sources. Then inspect whether the caller can list versions and delete the selected revisions as well as delete the bucket.
An allowed DeleteBucket does not grant every object-version cleanup action. Likewise, a successful cleanup of some keys cannot prove that a denied revision was removed. Keep partial failures visible and retry only after the actual permission boundary is repaired.
Use the all-version cleanup result
In the local console, open the bucket Empty workflow and review its scope before entering the confirmation. Inspect successful and failed entries. After a partial failure, verify that the retained revision still exists, repair its modeled permission and retry the failed work.
Recheck the full version inventory before deleting the bucket with its exact name confirmation. The local workflow does not implement AWS Object Lock, MFA Delete or access-point dependencies. In a real account, those controls and relevant organization policies can introduce additional blockers.
Changed scenario and naming consequence
Question: the cleanup appears successful, but another application is still writing new objects. Can the earlier empty result justify deleting the bucket now? No. Stop or redirect the writer and recheck at the intended cleanup boundary.
For real shared-global-namespace buckets, deletion also changes who may later claim the name and where old references might send requests. Keeping an empty protected bucket can be an intentional choice. The local simulator models selected naming and cleanup behavior, not every current namespace option or AWS distributed deletion timing.
Practice the supported console workflow
Sources and scope
Reviewed against these official references. The model’s supported scope appears alongside its controls.
How we review explanations