3. Design a Distributed Cache
Partition cached data, survive node loss and keep cache misses from overwhelming the source of truth.
ClassicMedium
Pick a system. Work through the problem. Compare your approach.
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Partition cached data, survive node loss and keep cache misses from overwhelming the source of truth.
Stacks of nearby people in under 300 ms, 2 billion swipes a day, and a match never missed even when both like at once.
An S3-inspired object store: bytes before metadata, a partitioned namespace with cache coherence, then repair, heat, lifecycle and safe change. Three interview boards with explicit assumptions and AWS source boundaries.