📡 Scaling Live Streaming Architectures

When hotstar streamed the IPL, they hit 32+ million concurrent viewers. Building infrastructure that can handle that kind of data throughput without buckling involves pushing WebRTC and HLS (HTTP Live Streaming) to their absolute limits.

If you are a startup attempting to build a live video application in India, the challenge isn't just server capacity—it is dealing with erratic network latency. A user on a rural 3G connection and a user on a gigabit fiber connection in Mumbai need to receive the same stream without stuttering.

The Triad of Streaming

1. Ingest: You need a powerful RTMP ingest server. The broadcaster pushes raw video here.
2. Transcoding: This is the most CPU-intensive part. The single HD stream must be instantly chunked and encoded into multiple bitrates (1080p, 720p, 480p, 144p).
3. Delivery (CDNs): You cannot serve 1 million users from one AWS region. You must push the transcoded HLS .m3u8 playlists and .ts video chunks out to Edge CDNs. The user's device automatically switches bitrates based on their current bandwidth.

By engineering flexible, adaptive tech stacks, developers can finally bridge the latency divide across the subcontinent.