File Retention Estimator
Forecast how retention windows and replica policy translate into steady-state storage requirements before they hit production.
When this estimate is useful
Use this model before increasing retention windows, adding replicas, or onboarding new file-heavy workloads. It gives operations and finance teams a quick storage baseline.
- Useful for logs, media uploads, generated reports, and export pipelines.
- Helps separate raw storage growth from redundancy overhead.
- Provides a fast planning number before deeper capacity modeling.
Inputs that move the result most
Small changes in average file size or replica factor can materially change the footprint. Validate those numbers with a recent sample instead of relying on an old average.
- Daily volume spikes can make a nominal 30-day policy much more expensive than expected.
- Replica factors above 2x often deserve explicit sign-off because they multiply every retained object.
- Monthly ingest is useful as a comparison point against current hot-tier growth.