Iterative AWS scaling from single host to millions: LB, cache, DB replication, sharding, and async.
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hardSystem Design
How would you design a system that scales to millions of users on AWS?
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01
Understand the problem
awsscalinguserslbcdnshardingreplicationhorizontal-scaling
02
Attempt it yourself
Sketch your approach before reading the solution — that's what interviews test.
Nudge consolestandby
Stuck? Beam a request up — the console returns a conceptual nudge that guides your logic without spoiling the implementation.
03
Study the solution
Step 1: Use Cases, Constraints, Assumptions, Back-of-Envelope
Use cases
We'll scope to handle only the core flows that expose the bottlenecks; everything else is deferred.
- User signs up / logs in — auth on stateless API, session in Redis, email verify async.
- User reads feed/profile — cache-first, C
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04
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Dossier 74 of 99 decoded in the System Design track. One more won't hurt.