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Designed without a database or persistent storage, it handles millions of requests reliably and scales horizontally with minimal overhead, as emphasized in the README for easy maintenance.

Uses a computed UUID to ensure individual users have a consistent experience across sessions, which is critical for accurate A/B testing and highlighted as a key feature.

Supports experiment targeting based on application versions, OS versions, language settings, and custom parameters, providing granular control for diverse testing scenarios.

Configurations are cached on clients and preserved when devices are offline, ensuring functionality without internet connectivity, as noted in the features list.