When an application experiences surging traffic, a single database often becomes a bottleneck. Scaling reads solves this by distributing query load across multiple replicas, freeing the primary server for writes. This strategy involves techniques like read replicas, caching, and database sharding. It’s ideal for high-traffic e-commerce sites, social platforms, and analytics tools, ensuring faster response times and uninterrupted user experiences during peak demand.
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