Performance & Optimization
Caching - A Complete Guide
A comprehensive guide to caching for optimizing performance.
Application Cache: Cache at the Application Level
Database Cache: Cache at the Database Level
Distributed Cache: Distributed cache (Redis, Memcached)
Data is initially written to the cache and then asynchronously to the DB.
The cache is updated upon TTL expiration.
Redis - a popular in-memory data store for caching.
Frequently asked questions
What should be cached?
What should be cached
Should TTL values be set correctly?
Should TTL values be set correctly
How should cache invalidation be implemented?
How should cache invalidation be implemented
Should cache hit rates be monitored?
Should cache hit rates be monitored
▶ Try it live
Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.