[System Design Tech Case Study Pulse #39] 1.5 Billion Swipes per Day : How Tinder Matching Actually Works
With detailed explanation and flow chart....
Hi All,
Tinder's implementation of Amazon DynamoDB plays a crucial role in their real-time match processing system, handling an astounding 1.5 billion swipes per day. This feat enables Tinder to provide instant matching and real-time interactions for millions of users worldwide.
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Let me dive deep into how Tinder engineered this system, exploring the key architectural decisions, scaling strategies, and optimizations that enable DynamoDB to manage this enormous volume of swipes and matches.
System Overview
Before we delve into Tinder's DynamoDB architecture for the match processing system, let's look at some key metrics that highlight the scale of its operations:
- Daily swipes: 1.5 billion+
- Active users: 75 million+
- Matches created daily: 26 million+
- Peak swipe rate: Millions per minute
- Data centers: Multiple, globally distributed
- Latency target: < 100 milliseconds
- Availability: 99.99%+
- Supported platforms: iOS, Android, Web
- DynamoDB tables: Multiple, purpose-specific
- Total data managed: Petabytes
- User interactions: Swipes, matches, messages
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