Scaling Activity Feeds to 100M Users: Stream’s Latest Benchmarks

Stream has achieved a significant milestone in its activity feed infrastructure by successfully benchmarking over 37 million operations with a 10% write and 90% read workload distribution across a dataset comprising 100 million users, 500 million activities, and 200 million follow relationships. Tested at varying request rates, Stream demonstrated stable performance with ~11-15ms p50 read latency and sub-32ms p50 write latency, maintaining a 100% success rate across scenarios, even with up to 4.5 million peak concurrent users. Stream's architecture supports real personalization by enabling dynamic blending and ranking of multiple activity sources, allowing teams to experiment and evolve feed logic without the need to overhaul backend systems. This infrastructure is designed to handle the complexities of scaling personalized feeds, which often become challenging as user numbers grow, leading to potential issues with latency and feed freshness. Stream provides scalable, reliable performance, backed by transparent benchmarks, making it a robust choice for teams managing social platforms, marketplaces, and media apps, ensuring confidence in handling traffic spikes and maintaining user engagement.

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