⚡ Caching Strategies

Caching is a technique to store frequently accessed data in a fast storage layer to improve performance and reduce load on backend systems.

🏠 Where to Cache?

• Client-side: Browser or mobile app.
• Edge: CDN caches.
• Server-side: In-memory stores like Redis or Memcached.
• Database: Query result caches.

🗃️ Eviction Policies

• LRU (Least Recently Used): Remove least recently accessed items.
• LFU (Least Frequently Used): Remove least frequently accessed items.
• FIFO (First In First Out): Remove oldest items.

🔄 Cache Coherence

• Write-through: Update cache and database together.
• Write-back: Update cache first, then database later.
• Cache Invalidation: Remove or update stale data.

🧠 Final Thoughts

Choose the right cache level and eviction policy for your use case. Always consider cache consistency and invalidation strategies.