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Caching - A Complete Guide | Technical Documentation

Caching is a powerful technique used to speed up applications by storing frequently accessed data in a fast, readily available location.

mysimulator teamUpdated June 2026≈ 3 min read▶ Open the simulation

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)

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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

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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.

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