Business problem

Product teams need secure video (courses, media, internal content) that feels like first-party hosting. Self-hosting video for millions is expensive and operationally heavy. Public YouTube is cheap storage - but wrong for gated, branded experiences where access rules and player UX matter.

What was at stake

• Self-hosting video at scale burns cash on bandwidth and ops

• Public YouTube cannot enforce product access rules cleanly

• Users expect “your” player - not a third-party detour

• Naive proxying collapses under concurrency and buffering cost

How I approached it

Keep YouTube as durable, cheap storage for unlisted assets, then put a lean middle server between the product and the bytes. The app owns auth, the player experience, and access policy. The middle tier streams efficiently with Go-style concurrency and careful buffering so a simple machine can serve high traffic without pretending to be a full CDN.

System shape

• Unlisted YouTube assets as the durable storage layer

• Product-owned authn/z before any byte leaves the middle tier

• Streaming proxy tuned for concurrency and predictable buffering

• Branded / first-party player experience in the client

• Cost model that grows with careful system design, not server sprawl

What it unlocks

Videos live as unlisted YouTube assets for durable storage. A middle server processes bytes and streams them efficiently to your app - so users experience “your” player and access rules, while the heavy lifting stays lean. Concurrency-friendly design keeps a simple machine serving high traffic with predictable cost.

• Gated, branded playback without building a private CDN farm

• Access rules enforced in your product - not left to a public platform UX

• High concurrency on lean infra via careful streaming design

• Storage cost stays close to “use YouTube as a durable backend”

How I can help you

If video is core to your product but infra cost or complexity is the blocker, I build the architecture that protects content, keeps playback fast, and scales with system-design discipline instead of throwing servers at the problem.

Capabilities

• System design
• Streaming
• Go concurrency
• Cost control