Beyond the Cache Miss: Designing Resilient Caching Layers with Redis Degradation Strategies (opens in new tab)

1. The Anatomy of a Cache Disaster To design a solution, we must first analyze how cache failures manifest as systemic outages. Consider a standard read-through caching pattern: [Client] ---> [API Gateway] ---> [Product Service] | | (1) Read (2) Miss? Read DB v v [Redis] [PostgreSQL] The Failure Cascade If Redis latency increases from 2ms to 2000ms (due to network congestion or CPU saturation), the following cascade occurs: Thread Pool Exhaustion: The API container's HTTP worker threads (e.g....