Cache Strategy

Overview

This skill helps you design and implement multi-layer caching strategies for high-traffic APIs. It covers choosing the right caching pattern for your data access profile, configuring TTLs, preventing cache stampedes, and setting up cache invalidation that actually works in production.

Instructions

1. Analyze the caching opportunity

Before adding caching, identify what to cache by examining query patterns:

// Instrument your API routes to log response times and call frequency
// Look for: high frequency + low change rate = best cache candidates
// Example analysis output:
// GET /api/products      → 12,000 req/min, changes every 30min → CACHE (TTL: 5min)
// GET /api/products/:id  → 8,000 req/min, changes on update   → CACHE (invalidate on write)
// POST /api/orders       → 200 req/min, always unique          → DO NOT CACHE
// GET /api/user/profile  → 3,000 req/min, changes rarely       → CACHE (TTL: 15min)