Caching Strategies

Improve response times and reduce infrastructure load without data correctness regressions.

  • Cache read-heavy, low-volatility queries.
  • Use explicit TTLs and invalidation strategies per domain.
  • Prefer cache-aside patterns for most API workloads.

Alternatives and when to choose them

  • Write-through caching when consistency requirements are high.
  • No cache when data freshness and simplicity outweigh latency gains.

Implementation checklist

  • Define cache key format and namespace ownership.
  • Track hit ratio and stale/error rates.
  • Add invalidation hooks for mutable resources.

Common pitfalls

  • Global default TTLs with no domain reasoning.
  • Caching authorization-sensitive data without scoping keys.

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