Production Caching: Why Strategy Selection Determines Performance

Caching is often treated as a simple performance lever, but incorrect cache selection can severely degrade rather than improve application performance. Understanding the fundamental differences between in-process memory caches, distributed Redis, and refresh-on-demand patterns is critical for building systems that scale reliably under load. Production engineers need practical knowledge of these strategies' trade-offs—isolation, consistency, deployment safety—to make decisions that directly impact user experience and system reliability.