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caching-strategies-knowledge

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Caching Strategies knowledge base. Provides caching patterns (Cache-Aside, Read-Through, Write-Through, Write-Behind), invalidation approaches, multi-level caching, and Redis data structures for caching audits and generation.

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# Caching Strategies Knowledge Base

Quick reference for caching patterns, invalidation strategies, and Redis implementation guidelines. Focuses on caching theory and Redis patterns — for Cache-Aside code generation, see `create-cache-aside`.

## Caching Strategies

| Strategy | How It Works | Consistency | Performance | Use Case |
|----------|-------------|-------------|-------------|----------|
| Cache-Aside | App reads cache first, fetches from DB on miss, writes to cache | Eventual | Read-heavy | General purpose, most common |
| Read-Through | Cache itself fetches from DB on miss | Eventual | Read-heavy | Transparent caching layer |
| Write-Through | App writes to cache and DB synchronously | Strong | Write-heavy (slower writes) | Consistency-critical data |
| Write-Behind | App writes to cache, cache writes to DB asynchronously | Eventual | Write-heavy (fast writes) | High write throughput |
| Write-Around | App writes directly to DB, cache populated on read | Eventual | Infrequent-read data | Write-once, read-later |
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