Statsig processes over a trillion events daily for high-profile clients such as OpenAI and Atlassian, with a robust data pipeline designed for scalability and cost-efficiency. Key components include a reliable data ingestion layer, scalable message queues, and effective routing and integration techniques. Their strategy involves using Google Cloud Storage, Pub/Sub, spot nodes, and advanced compression methods to optimize performance and minimize costs, ensuring high reliability and low latency.
Table of contents
Statsig’s Streaming ArchitectureThe Architectural ComponentsThe Shadow PipelineStatsig’s Cost Optimization StrategiesConclusionSPONSOR USSort: