Redis's single-threaded architecture is a significant limitation in handling modern, concurrent workloads, resulting in performance bottlenecks and inefficient utilization of multi-core CPUs.
For organizations facing increased data demands, Redis may struggle to scale effectively, leading to performance degradation in high-volume environments and necessitating complex clustering solutions.
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