Edge Caching: CDN Strategies, Purge Patterns, and Personalization Trade-offs
Edge Caching stores responses near users. Learn CDN cache keys, purge patterns, and when personalization should bypass the edge so you stay fast and correct.
Category
Caching
Caching stores copies of frequently read data in a faster layer so later requests skip slow work such as database queries or remote calls. Caches sit at many levels, from in-process memory to Redis or Memcached and CDN edge servers. The gain is lower latency and less load on the origin, and the cost is invalidation: deciding when a cached copy has gone stale.
7 articles
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Cache Invalidation Strategies: Purges, Versioning, and Write-Through Choices
Cache invalidation strategies compared: delete-on-write, versioned cache keys, the cache purge, and write-through vs write-behind (plus the delivery…
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Redis Architecture: Data Structures, Persistence, and High Availability
Redis architecture under the caching patterns: the single-threaded event loop, redis data structures, maxmemory eviction, rdb vs aof…
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Redis Caching: Patterns for Real Workloads
Redis caching in practice: cache-aside with a TTL on every write, the redis TTL strategy, and the stampede,…
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Cache Failure Modes: Stampede, Avalanche, and Penetration
The three ways caches fail when it matters: the cache stampede on an expired key, cache avalanche from…
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Distributed Caching: Architecture and Invalidation Across Nodes
Distributed caching beyond one node: consistent-hash routing, cache tiers, hot keys, cross-node invalidation, and the redis vs memcached…
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Caching in System Design: Patterns, Eviction, and Hit Ratio
Cache-aside vs read-through, write-through vs write-back, LRU eviction, and the hit-ratio math that decides whether a cache pays…
