[System Design Tech Case Study Pulse #98] 80 Million Photos Daily : How Instagram Photo Sharing Actually Works
With detailed explanation and flow chart....
Hi All,
Instagram's selection of Apache Cassandra as a core component of its data infrastructure enables it to manage over 80 million new photos every day. This incredible feat allows Instagram to provide real-time photo sharing and interaction for its billion-plus users worldwide.
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Let me dive deep into how Instagram engineered this system, exploring the key architectural decisions, scaling strategies, and optimizations that enable Cassandra to handle this massive volume of photo metadata and user interactions.
System Overview
Before we delve into Instagram's Cassandra architecture, let's look at some key metrics that highlight the scale of its operations:
- New photos per day: 80 million+
- Active users: 1 billion+
- Total photos stored: 50 billion+
- Data ingested daily: Petabytes
- Peak writes per second: Hundreds of thousands
- Read latency: Single-digit milliseconds
- Availability: 99.99%+
- Global deployment: Multiple data centers worldwide
- Cassandra clusters: Dozens
- Nodes per cluster: Hundreds
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How it works ( tech in depth) —
1. User Interaction:
- A user uploads a photo or interacts with content through Instagram's app or website.
- Instagram Application Servers process these actions.
2. Application-Level Processing:
- Feed Generation Service prepares user feeds.
- Engagement Tracking Service monitors likes, comments, and views.