grounded in: Instagram Eng: 'Sharding & IDs at Instagram' (2012) · 'What Powers Instagram' (2011) · 'Storing … in Redis' (2011); 'Rocksandra' (2018)
AlgoPlus//structures / case-study
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Instagram (Photo Sharing)

Upload and serve billions of photos on sharded PostgreSQL + S3/CloudFront, with in-database 64-bit IDs.

Step
1/1
Phase
Legend
Design decision
Bottleneck
Solution added
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In a nutshell
Real systems aren't designed all at once — they grow. You start with the simplest thing that works (one server, one database), watch where it strains under load — the bottleneck — and add exactly one piece to relieve it: a cache, more servers behind a load balancer, a queue to do slow work in the background. Every box on the diagram earns its place by fixing a specific problem, trading a little added complexity for a concrete scaling win.
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Real architectures aren't drawn all at once — they grow. Each component is added to kill one specific bottleneck, trading complexity for a concrete scaling win.
Key terms
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Read the full theory, intuition & complexity for Instagram (Photo Sharing).