Templates/Video Streaming Platform

Video Streaming Platform

MediaProductionMedia platform

Video transcoding pipeline with async job queuing, multi-bitrate FFmpeg encoding, S3 segment storage, CDN delivery, and real-time engagement analytics. Use for VOD and streaming platforms.

Recommended for: Media teams launching video-on-demand

10 nodes13 connectionsAsync transcodingEdge deliveryPlayback telemetry

Scope Notes

Intended for Media teams launching video-on-demand at Production complexity and Media platform scope. Treat the graph as a starting shape rather than a fixed stack: keep the topology and the signals below, then swap providers to match your platform.

Async transcodingEdge deliveryPlayback telemetry

Review Checklist

0 of 12 reviewed

Use Case

Video-on-demand platforms, live streaming, corporate media portals, educational content

Best Fit Scenarios

  • VOD catalogues with adaptive bitrate playback
  • Upload-to-publish transcoding pipelines
  • Engagement analytics on playback

Stack Breakdown

Web PlayerCDNAPI ServerTranscoderRabbitMQS3

Architecture Layers

1Playback & ingest clients
2Edge delivery
3API & catalog
4Transcode pipeline
5Storage & analytics
6Telemetry collection

Components by Category

frontend

Web Player

infra

CDNS3

backend

API ServerTranscoderCollectorUpload / Ingest

database

PostgreSQLClickHouse

async

RabbitMQ

Why This Topology Works

Uploads are registered through the ingest API and written to S3, which is also the transcoder's source. RabbitMQ decouples the API from encoding, the CDN serves encoded segments at the edge, and a dedicated collector batches playback events instead of letting clients write analytics storage directly.

Scaling Notes

Transcode workers scale with queue depth. The CDN absorbs playback traffic and S3 stores raw masters plus encoded segments. S3 lifecycle rules should expire raw masters once renditions are published.

Observability

Monitor transcode queue depth, CDN cache hit ratio, collector batch lag and ClickHouse query latency. Playback events reach analytics only through the collector.

Typical Bottlenecks

  • Transcode queue depth for large uploads
  • CDN cache hit ratio on long-tail content
  • Playback telemetry volume versus collector capacity

Async Flow and Reliability

The upload API returns as soon as the asset is registered; encoding runs asynchronously off RabbitMQ. Segment uploads and telemetry batching are also off the playback path so viewing never blocks on processing.

Upgrade Path

Add a packager for HLS/DASH manifests and signed playback tokens, then add a DLQ for poison transcode jobs and a dashboard that reads ClickHouse.