How Database Indexes Create Write Amplification Problems

Lucas and Luna dissect the hidden cost of fast reads: write amplification. They examine how maintaining secondary indexes forces databases to rewrite data multiple times per transaction, slowing down high-throughput systems. Using a concrete example from a major e-commerce platform, they explain why dropping an index can sometimes double write speed, and what engineering teams do when read performance is no longer the bottleneck.

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