When comparing local cache vs shared cache, the core difference lies in data isolation versus availability. A local cache is private to one server or process, offering ultra-fast access but risking duplication and inconsistency. A shared cache, like Redis, is a central repository accessible by multiple nodes, ensuring data consistency and efficient resource use. This architecture benefits microservices, e-commerce platforms, and distributed systems requiring synchronized data. Developers and system architects use shared caching for session management and API rate limiting, while local caching suits single-node, high-throughput scenarios.
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