The Hidden Tax in Redis: How Layered Caching Cuts Costs 75%

Cloud infrastructure costs hide a critical overhead: serialization and network latency compound silently on every cache read at scale. By introducing an in-process L1 caching layer, teams can slash operational costs and response latency without replacing their core data layer—a pattern increasingly essential as AI/ML workloads with larger payloads become standard. This architectural shift reveals that single-tier caching is economically unsustainable at modern scale.