In-Memory vs. Distributed Cache

In-memory caching is fast and simple—perfect for early-stage apps. But as traffic grows, it becomes a bottleneck: poor scalability, high memory use, and crash-prone. Distributed caching (like Redis or Memcached) offers centralized, scalable performance, supporting session sharing, load balancing, and failover. It transforms caching from a liability into a reliable backbone for modern, scalable architectures.