MLS

Computer & IT

Media Library Storage Calculator

Project current and future media capacity from daily raw creation, retention, compression, stored copies, growth, and monthly access cost.

Current retained raw data-
Current stored data after compression and replicas-
Daily raw volume at forecast end-
Forecast retained raw data-
Forecast stored data after compression and replicas-
Current storage cost per month-
Forecast storage cost per month-
Forecast storage, access, and egress cost-
Annualized forecast run rate-
Stored-capacity growth through horizon-

Decision view

Media ingest, master shelf, and derivative shelf

Media ingest, master shelf, and derivative shelfNew assets enter master and derivative shelves before retained copies and growth determine forecast capacity.
Media Library Storage monthly costForecast month is horizontal and modeled storage, access, and egress cost is vertical.
Exact scenario comparisonRetention period (days) changes while all other entered assumptions remain constant.
Retention period (days)Current retained raw dataCurrent stored data after compression and replicasDaily raw volume at forecast endForecast retained raw dataForecast stored data after compression and replicasCurrent storage cost per monthForecast storage cost per monthForecast storage, access, and egress costAnnualized forecast run rateStored-capacity growth through horizon

Period-by-period detail

media library monthly capacity and cost forecast

Every month applies the entered compound growth to daily volume, then recalculates retained raw volume, compression, replicas, storage cost, and total monthly cost.

How to use Media Library Storage Calculator

  1. Enter daily master and derivative growth on a consistent raw basis.
  2. Use retention that reflects deletion or archival policy.
  3. Review forecast capacity, copy count, access traffic, and annualized run rate.

Calculator guide

Understanding Media Library Storage Calculator

A media library combines large masters, derivatives, thumbnails, replicas, and a retention period that may be effectively permanent.

Masters dominate bytes High-resolution source files usually control capacity.
Derivatives add copies Proxies and renditions must be counted deliberately.
Access affects tier choice Cheaper storage can carry retrieval tradeoffs.

Calculation method

How the calculation works

Translate daily media library creation into retained raw volume, apply compression and replica count, project monthly growth, and reconcile current and forecast storage capacity and run-rate cost. Daily media GB times retention days creates the retained raw library; compression and copies determine stored capacity at each forecast point.

Media shelf

Arrange masters and derivatives across storage tiers

The visual separates new assets, retained masters, working derivatives, replicas, and forecast capacity.

New assets Daily raw media entering the library.
Master shelf Highest-quality retained sources.
Derivative shelf Proxies and delivery renditions.
Forecast Future capacity and monthly run rate.

Worked situations

Practical examples

  • One master plus a working proxy may act like two stored copies if both remain online.
  • Image thumbnails add many objects but relatively few bytes.
  • Video masters can make a short retention change materially affect capacity.

Better inputs

Useful tips

  • Separate masters, proxies, derivatives, and delivery caches.
  • Use lifecycle tiers for rarely accessed masters.
  • Track object counts as well as bytes for operational limits.

Before relying on the result

Limitations and common mistakes

  • The model uses one compression ratio and one storage rate.
  • Transcoding compute, CDN delivery, object requests, and cache storage are simplified.
  • Permanent archives outlive the selected forecast horizon.

Reference

Key terms

Master asset
Highest-quality retained source file.
Derivative
Proxy, thumbnail, rendition, or delivery copy created from a master.
Lifecycle tier
Storage class selected according to access frequency.

Important note

Calculated from the entered technical values using the displayed model. Validate topology, workloads, capacity, security, redundancy, and observed performance before implementation.

Frequently asked questions

Should CDN cache count as a replica?

Only if it is persistent and separately billed in the modeled storage estate.

How do I model permanent retention?

Choose a meaningful planning horizon and recognize growth continues afterward.

Are object-request fees included?

Only through the entered monthly access and egress allowance.