How Statsig streams 1 trillion events a day

Statsig, a young SaaS company, manages an impressive scale of over a trillion events daily for experimentation and product analytics, working with clients like OpenAI and Atlassian. Over the past year, they've increased their event volume twentyfold, necessitating the development of a robust and reliable streaming architecture for data ingestion, processing, and routing, using technologies like Pub/Sub, GCS, and Rust. Key aspects of their architecture include minimizing data loss, maximizing throughput, and ensuring data correctness, supported by extensive testing and optimization strategies. They've implemented cost-effective measures such as using spot nodes, compression techniques, and efficient batching to manage the financial challenges of handling such a massive data scale. These efforts ensure high reliability and uptime while maintaining cost efficiency, positioning Statsig as an innovative leader in handling large-scale data processing.

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