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Horizontal sharding splits a database across multiple nodes when vertical scaling hits hardware limits. Before sharding, teams should exhaust read replicas and cluster segmentation. Indicators include maxed CPU, memory, disk, or IOPS, causing slower schema changes, higher query latency, and outages.
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