Sharding—especially horizontal partitioning—splits data into range-based shards (e.g., by customer_id or date) to distribute load, boost query performance, and speed recovery; success hinges on a well-chosen sharding key, efficient query routing, and shard ops/consistency, enabling apps like e-commerce platforms to scale smoothly by adding shards as data and traffic grow.
Developers can optimize application performance, scalability, and reliability by using advanced caching strategies like cache hierarchies, sharding, and preloading, as well as distributed caching techniques that distribute data across multiple nodes to reduce latency and improve user experience.
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