How would you architect a system for rapid experimentation and validation?
Tests designing decoupled experimentation infrastructure that scales past 1M users. Strong answers split assignment, flags, metrics, and analysis into independent event-driven services with change data capture isolating production.
This tests whether you can architect experimentation infrastructure that survives hypergrowth rather than collapsing under concurrent load. A strong answer proposes independent microservices for assignment, feature flags, metrics ingestion, and analysis, wired together with event-driven pipelines instead of synchronous polling. It emphasizes change data capture to decouple experiment events from production databases, and dynamic user segmentation computed at the edge to keep lookups fast.
Read the original → statsig.com
- #experimentation
- #system design
- #feature flags
- #event-driven architecture
- #microservices
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