A detailed walkthrough of Tinder's system architecture covering its scale (1.8 billion daily swipes, 50M+ users), recommendation engine design using Elasticsearch with geo-sharding, matchmaking service implementation, passport feature, user reactivation scheduling, content moderation, and monitoring with Prometheus. Key design decisions include dividing the world map into variable-sized geographic cells (using Google S2 library), distributing Elasticsearch shards by location with time-zone-aware load balancing, using Kafka for async message processing, Redis for match state, and bloom filters to speed up match detection. MongoDB is used for persistent user profile storage with geo-based sharding and GDPR compliance considerations.
•1h 7m watch time
12 Impressions