Why this matters
S3 lifecycle rules move data to Standard-IA or Glacier to cut storage cost. CloudZero now flags the buckets where that move backfires: an early delete fee is charged when an object leaves its tier before the tier’s minimum storage duration.
The cause isn’t always a misconfigured lifecycle rule. A manual delete, an overwrite, or an object written straight into the tier by a replication or backup job produce the identical charge. Either way, every dollar of it is billed as pure penalty, on top of the storage you were trying to save on. CloudZero flags what’s wrong to prevent more fees in the future.
What we built
A new AWS recommendation, Eliminate S3 Early Delete Fees, that surfaces S3 buckets incurring early delete fees.
All five early delete meters, in one place.. The recommendation covers all five early delete meter families across Standard-IA, One Zone-IA, Glacier Instant Retrieval, Glacier Flexible Retrieval, and Deep Archive.
The responsible tier, named in each recommendation. The tier determines the minimum retention period your lifecycle rule has to be designed around, so it is on the recommendation. A 30-day minimum and a 180-day minimum call for different transition schedules.
One row per bucket, with the dollar figure attached. Recommendations are bucket-scoped and carry the 30-day cost impact, which is what makes them sortable by cost impact.
A pointer you can act on. An early delete fee proves an object left a tier before its minimum. It does not prove which operation did it. A lifecycle transition, a manual DeleteObject, an overwrite of an existing key, and an application cleanup job all produce the same line item.
How it works
Go to Optimize, then Recommendations, and filter to S3. Buckets carrying early delete fees appear with the responsible storage tier and the 30-day cost impact. Sort by cost impact to see the most relevant issue first. Open a recommendation, compare the lifecycle rule’s transition day against that tier’s minimum duration, and move the transition day past the minimum.
Read more about recommendations in the docs →
