Streaming LLM Tokens to 10K Concurrent Users
📰 Dev.to · SoftwareDevs mvpfactory.io
Learn how to stream LLM tokens to 10K concurrent users using server-sent events, coroutines, and bounded channel buffers
Action Steps
- Implement server-sent events for token-by-token LLM delivery using a coroutine-per-connection approach
- Configure bounded channel buffers to handle backpressure when slow clients stall
- Set up connection draining during zero-downtime deployments to ensure seamless user experience
- Calculate the memory math to determine the actual concurrency ceiling on a 4GB container
- Test and optimize the streaming setup for 10K concurrent users
Who Needs to Know This
This article benefits backend engineers and DevOps teams working with large-scale LLM deployments, as it provides a deep dive into scaling server-sent event streams and handling concurrency
Key Insight
💡 Using coroutines and bounded channel buffers can help handle backpressure and ensure seamless LLM token streaming to a large number of concurrent users
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🚀 Scale LLM token streaming to 10K users with server-sent events, coroutines, and bounded buffers! 🤖
Key Takeaways
Learn how to stream LLM tokens to 10K concurrent users using server-sent events, coroutines, and bounded channel buffers
Full Article
Engineering deep-dive into scaling server-sent event streams for LLM token-by-token delivery — coroutine-per-connection with structured concurrency, bounded channel buffers for backpressure when slow clients stall, connection draining during zero-downtime deployments, and the memory math that determines your actual concurrency ceiling on a 4GB container
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