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Zorluk: ZorCost-Optimized Storage Tiering and Lifecycle Management

A healthcare provider manages an application that uploads files to an Amazon S3 bucket. The data consists of three types of files:

- Clinical images: Average size of 1212 MB. These files are accessed frequently during the first 3030 days, after which they are rarely accessed but must be available for millisecond-level retrieval by physicians for up to 180180 days before deletion.
- Patient telemetry logs: Average size of 250250 KB. These files are accessed frequently during the first 1010 days and can be permanently deleted after 2525 days.
- Daily check-in metadata: Average size of 88 KB. These files are accessed frequently for the first 3030 days, and then accessed occasionally for another 120120 days before deletion.

Which S3 lifecycle configuration represents the most cost-effective storage strategy for these files?

  1. A
    Transition the clinical images to S3 Standard-IA after 30 days, and delete them after 180 days. Transition the patient telemetry logs to S3 Standard-IA after 10 days, and delete them after 25 days. Keep the daily check-in metadata in S3 Standard.
  2. B
    Transition the clinical images to S3 Glacier Flexible Retrieval after 30 days, and delete them after 180 days. Keep the patient telemetry logs and daily check-in metadata in S3 Standard for their entire lifecycles.
  3. Transition the clinical images to S3 Standard-IA after 30 days, and delete them after 180 days. Keep the patient telemetry logs and daily check-in metadata in S3 Standard for their entire lifecycles, deleting them after 25 days and 150 days respectively.Cevap
  4. D
    Transition the clinical images to S3 Standard-IA after 30 days, and delete them after 180 days. Transition the daily check-in metadata to S3 Standard-IA after 30 days, and delete them after 150 days. Keep the patient telemetry logs in S3 Standard.

Cevap

Transition the clinical images to S3 Standard-IA after 30 days, and delete them after 180 days. Keep the patient telemetry logs and daily check-in metadata in S3 Standard for their entire lifecycles, deleting them after 25 days and 150 days respectively.
The correct option transitions the clinical images (which are large and stored for a long duration) to S3 Standard-IA, while keeping the small daily check-in metadata and short-lived patient telemetry logs in S3 Standard. This avoids both the 128 KB minimum billable object size overhead and the 30-day minimum storage duration penalty of S3 Standard-IA, achieving the lowest overall cost.

Adım Adım Çözüm

1
Analyze the access and retention requirements of the clinical images.
The files are large (12 MB) and require millisecond-level retrievals for 150 days (days 30 to 180).
Transitioning to S3 Standard-IA after 30 days is cost-effective because the file size is above 128 KB, the duration is longer than 30 days, and S3 Standard-IA supports millisecond-level retrieval.
2
Evaluate the patient telemetry logs access and retention pattern.
The files are 250 KB and are deleted after 25 days.
If transitioned to S3 Standard-IA at day 10, they would only stay there for 15 days (day 10 to day 25). This is less than the 30-day minimum storage duration of S3 Standard-IA, incurring a prorated storage charge penalty. Thus, they must remain in S3 Standard.
3
Evaluate the daily check-in metadata access and retention pattern.
The files are small (8 KB) and are deleted after 150 days.
If transitioned to S3 Standard-IA, they would be billed for 128 KB per object due to the minimum billable object size constraint. This increases the billable size by 16 times, offsetting any per-GB storage savings. Thus, they must remain in S3 Standard.

Anahtar Kavram

Cost-optimized storage tiering constraints including minimum billing size limits and minimum storage duration penalties in S3 Standard-IA.
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Konular

Cost-Optimized Storage Tiering and Lifecycle Management