Video-on-Demand Development

It is building the systems that store, encode, protect, catalog and deliver pre-recorded video that viewers watch whenever they choose. That includes ingest, transcoding, metadata, playback apps, search, billing and analytics around the library. It usually also involves rights management, subscriber access rules, search, analytics and the editorial tools used to publish titles.

Inventory assets and metadata, transcode or repackage as needed, verify with checksums, run both systems in parallel and redirect URLs. Viewing history and entitlements should migrate too, or customers will notice. We prepare a mapping document and a rollback path, then verify a sample set of titles before moving the whole catalog.

AV1 can cut bitrate noticeably, but encoding is slow and hardware decode is still uneven on older devices. Many services keep H.264 as the base and add HEVC or AV1 for devices that support them. Because older TVs and set-top boxes may lack AV1 decoding, a multi-codec ladder is safer than a single replacement.

Start with editorial rails, popularity and similar-title logic. Machine-learned models need viewing volume to beat these simple methods, so we add them when the data justifies the extra complexity. A smaller catalog can still feel personal when editors build good rails by hand, and that data later helps train models.