Fanout (Read vs Write)
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Distributed Sync
Large File Processing
Real-time Messaging
Write-heavy Systems
A write-heavy system receives many writes, events, or updates. In interviews, the main challenge is protecting the system from overload while keeping writes durable and correct. What it means A system is write-heavy when new data arrives very frequently. Examples: * logging system * metrics platform * click analytics * chat messages * location updates