Design an A/B Testing Framework for ML Models — System Design Interview Practice
Design an A/B testing and experimentation framework specifically for ML models in production, supporting traffic splitting, statistical analysis, multi-armed bandits, and automated experiment conclusion. Work through the requirements, architecture trade-offs, and an interactive design review.
Requirements and concepts to consider
- Route traffic between model variantsRequirement
- Implement statistically rigorous A/B testsRequirement
- Support multi-armed bandit experimentsRequirement
- Track experiment metrics and outcomesRequirement
- Handle interaction effects between experimentsRequirement
- Automate experiment conclusion decisionsRequirement
- Provide experiment dashboards and reportsRequirement
- Support feature flag-based model selectionRequirement
- mlopsConcept to explore
- ab testingConcept to explore
- experimentationConcept to explore
- statisticsConcept to explore
- traffic routingConcept to explore
- banditsConcept to explore