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Explain advanced distributed cache invalidation strategies in enterprise PHP systems.

Updated May 24, 2026

Short answer

Distributed cache invalidation ensures consistency between cached data and source-of-truth systems while maintaining high scalability and low latency.

Deep explanation

Cache invalidation is one of the hardest problems in distributed systems because cached data exists across multiple layers:

  • browser caches
  • CDN edges
  • reverse proxies
  • Redis clusters
  • local in-memory caches
  • ORM caches
  • query caches

The challenge is balancing:

  • freshness
  • consistency
  • scalability
  • latency
  • operational complexity

Core caching patterns:

  1. Cache-Aside (Lazy Loading)

Application reads cache first. Misses query database. Application populates cache.

Pros:

  • simple
  • flexible

Cons:

  • stale reads possible
  • cache stampedes

2.…

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