caching-strategy

name	caching-strategy
description	Implement efficient caching strategies using Redis, Memcached, CDN, and cache invalidation patterns. Use when optimizing application performance, reducing database load, or improving response times.

Caching Strategy

Table of Contents

• Overview
• When to Use
• Quick Start
• Reference Guides
• Best Practices

Overview

Implement effective caching strategies to improve application performance, reduce latency, and decrease load on backend systems.

When to Use

• Reducing database query load
• Improving API response times
• Handling high traffic loads
• Caching expensive computations
• Storing session data
• CDN integration for static assets
• Implementing distributed caching
• Rate limiting and throttling

Quick Start

Minimal working example:

import Redis from "ioredis";

interface CacheOptions {
  ttl?: number; // Time to live in seconds
  prefix?: string;
}

class CacheService {
  private redis: Redis;
  private defaultTTL = 3600; // 1 hour

  constructor(redisUrl: string) {
    this.redis = new Redis(redisUrl, {
      retryStrategy: (times) => {
        const delay = Math.min(times * 50, 2000);
        return delay;
      },
      maxRetriesPerRequest: 3,
    });

    this.redis.on("connect", () => {
      console.log("Redis connected");
    });

    this.redis.on("error", (error) => {
// ... (see reference guides for full implementation)

Reference Guides

Detailed implementations in the references/ directory:

Guide	Contents
Redis Cache Implementation (Node.js)	Redis Cache Implementation (Node.js)
Cache Decorator (Python)	Cache Decorator (Python)
Multi-Level Cache	Multi-Level Cache
Cache Invalidation Strategies	Cache Invalidation Strategies
HTTP Caching Headers	HTTP Caching Headers

Best Practices

✅ DO

• Set appropriate TTL values
• Implement cache warming for critical data
• Use cache-aside pattern for reads
• Monitor cache hit rates
• Implement graceful degradation on cache failure
• Use compression for large cached values
• Namespace cache keys properly
• Implement cache stampede prevention
• Use consistent hashing for distributed caching
• Monitor cache memory usage

❌ DON'T

• Cache everything indiscriminately
• Use caching as a fix for poor database design
• Store sensitive data without encryption
• Forget to handle cache misses
• Set TTL too long for frequently changing data
• Ignore cache invalidation strategies
• Cache without monitoring
• Store large objects without consideration