Building RTMP Live Streaming Like Twitch: From Stream Keys to Live Rooms

A deep dive into building an RTMP based live streaming system using LiveKit, Next.js, and Django, understanding how real platforms like Twitch work under the hood.
Live streaming platforms like Twitch handle millions of concurrent streams every day—but how does a streamer actually go live, and how does each stream remain isolated in its own room?
During a recent project contribution, I was tasked with building an RTMP streaming feature that allows users to go live using tools like OBS, webcams, or laptops—similar to Twitch.
The core requirements were simple on paper but complex in execution: • Each stream must have a unique ID • A user cannot have more than one active live stream • Every time a stream ends, a new stream URL and key must be generated
Before writing any code, I focused on understanding the fundamentals. I first studied what RTMP actually is and how real-time video data is transmitted. Then, I explored how stream URLs and stream keys authenticate broadcasting tools like OBS.
Once the concept was clear, I designed the system logic to enforce a single active stream per user. If a user attempted to go live again, the system would automatically invalidate the previous stream and generate fresh credentials.
For implementation, I used the LiveKit SDK inside a Next.js server action to handle stream creation securely. Stream metadata—such as stream keys and URLs—was persisted using Prisma with a MySQL database. To strengthen my backend skills, I later rebuilt the same functionality using Django REST Framework, reinforcing my understanding of system design across different stacks.
The result was a private live room per creator, complete with secure authentication and lifecycle management—mirroring how large-scale platforms like Twitch manage real-time streaming.
This project significantly deepened my understanding of real-time systems, authentication flows, and backend-driven streaming architectures. More importantly, it taught me how to break down complex infrastructure problems into manageable engineering decisions.