Nanit Saves $500,000 Annually by Building Custom In-Memory Storage System to Replace S3
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mpweiher
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Summary
Nanit, a baby monitoring company, built a custom in-memory storage system called N3 to replace Amazon S3 as the landing zone for their video processing pipeline. They were processing thousands of video uploads per second for sleep-state inference, and S3's PutObject request fees and 24-hour minimum storage lifecycle rules were costing them approximately $500,000 per year. By developing a Rust-based solution that uses S3 only as an overflow buffer, they eliminated both cost issues and achieved significant savings.
Key quotes
· 4 pulledWe used S3 as a landing zone for Nanit's video processing pipeline (baby sleep-state inference), but at thousands of uploads/second, S3's PutObject request fees dominated costs.
Worse, S3's auto-cleanup (Lifecycle rules) has a 1-day minimum; we paid for 24 hours of storage on objects processed in ~2 seconds.
We built N3, a Rust-based in-memory landing zone that eliminates both issues, using S3 only as an overflow buffer.
Result: meaningful cost reduction (~$0.5M/year).
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