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10 - Caching Strategies

Why Cache?

Database queries are expensive. Caching stores frequently accessed data in faster storage (memory) to reduce database load and improve response times.

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Agent Loop

Cache Types

1. In-Memory Cache (Application Level)
Python
2. Distributed Cache (Redis/Memcached)
Python
3. Database Query Cache
Sql
4. CDN Cache (For Static Content)
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Caching Patterns

1. Cache-Aside (Lazy Loading)
Python
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2. Read-Through Cache
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3. Write-Through Cache
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4. Write-Behind (Write-Back) Cache
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5. Refresh-Ahead Cache
Python

Cache Invalidation Strategies

The Hard Problem

"There are only two hard things in Computer Science: cache invalidation and naming things." - Phil Karlton

Python

Common Caching Strategies

1. Object Caching
Python
2. Query Result Caching
Python
3. Page/Fragment Caching
Python
4. Session Caching
Python

Cache Warming

Python

Handling Cache Stampede

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Redis Specific Patterns

Python

Cache Configuration Guidelines

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Monitoring Cache

Python

Next: CAP Theorem & Distributed Systems