What are some common mistakes in caching algorithms?

What are some common mistakes in caching algorithms?

Some common mistakes include not considering cache size, improper eviction policies, and failing to invalidate stale data.

Can you explain why cache size is important?

Cache size is crucial because if it's too small, it won't hold frequently accessed data, leading to cache misses.

What is an eviction policy?

An eviction policy determines which items to remove from the cache when it reaches its size limit, like LRU or FIFO.

How can I avoid stale data in my cache?

You can avoid stale data by implementing proper cache invalidation strategies, such as time-based expiration or event-driven updates.

What tools can help me analyze caching performance?

Tools like Redis, Memcached, and various profiling tools can help you analyze and optimize caching performance.