Free guide · 2026 edition

Five layers of your media stack depreciate. One appreciates.

Most in-house teams spend almost everything on the five that decay, and nothing on the one that compounds. This guide shows the difference — and puts a number on what an unfindable archive is costing you in the meantime.

Free PDF16 pagesEvery figure sourcedNo sales call

Written for Heads of Content, Creative Directors and Production Leads running in-house teams — the people who own the footage but didn't sign up to run storage infrastructure.

If your team has more than 50 TB, more than five people touching media, and a nagging sense that nobody could find last year's shoot without asking one specific person, this was written for you.

Fig 01 · Six layers over timeValue
Storage · network · access · review · hardware The index
The argument

Everything you buy loses value. What you know about your footage doesn't.

Storage, networking, remote access, review tools and the hardware underneath them all lose value on a schedule you can look up. Drives fail at a predictable annual rate. Software gets acquired, renamed, repriced or switched off. Subscriptions inflate four to five times faster than consumer prices, every year.

The index — everything you know about your footage, and your ability to find any of it — moves the other way. It gets more valuable with every shoot you add, and more valuable again each time retrieval models improve, without anyone shooting a frame.

The customer videos “will remain unaffected”. The asset metadata “will be deleted”.

Microsoft, retiring Azure Media Services — quoted in full on page 8
What's inside

Sixteen pages, no padding.

Every figure is sourced, and the guide is explicit about which numbers we refused to use.

01 / Cost model

A cost model you can run in ten minutes.

Four components, every input disclosed, with a worked example for a twelve-person team. Wage inputs from the Bureau of Labor Statistics; the behavioural inputs are yours to supply, because no rigorous independent research on them exists.

02 / Timeline

Six years of vendor churn on one timeline.

Every acquisition, shutdown and forced migration in the tooling a content team actually uses — from Screenlight going dark to Vimeo losing most of its staff two months after its $1.38B sale closed.

03 / Evidence

What Microsoft said when it retired Azure Media Services.

Their own words: the customer videos will remain unaffected; the asset metadata will be deleted. The media survived. The index didn't.

04 / Benchmarks

Evidence that your archive is appreciating.

Image retrieval up 29% and transcription error down 24% on fixed public datasets — same content, better models, every year.

05 / Reference

The six layers, compressed into a working reference.

Storage tiers, 3-2-1-1-0, what each network tier actually carries, and where AI indexing is genuinely solved.

06 / Provenance

A full provenance page and 39 numbered references.

Including the widely-repeated statistics we refused to use, and why each one fails when you check it.

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The In-House Media Infrastructure Blueprint

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  • 39 numbered references
  • A cost model with every input disclosed
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