缓存策略指南：Redis、Node.js、Python实现，提升应用性能与降低延迟

caching-strategy by aj-geddes/useful-ai-prompts

171 周安装量

141 GitHub Stars

GitHub

安装命令

npx skills add https://github.com/aj-geddes/useful-ai-prompts --skill caching-strategy

Node.js 开发性能优化

🇨🇳中文介绍

缓存策略

概述

实施有效的缓存策略，以提升应用程序性能、降低延迟并减轻后端系统负载。

使用场景

减少数据库查询负载
提升 API 响应时间
处理高流量负载
缓存昂贵的计算
存储会话数据
为静态资源集成 CDN
实现分布式缓存
速率限制和节流

快速开始

最小工作示例：

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) => {
// ... (完整实现请参阅参考指南)

参考指南

references/ 目录下的详细实现：

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指南	内容
Redis 缓存实现 (Node.js)	Redis 缓存实现 (Node.js)
缓存装饰器 (Python)	缓存装饰器 (Python)
多级缓存	多级缓存
缓存失效策略	缓存失效策略
HTTP 缓存头	HTTP 缓存头

🇺🇸English

Caching Strategy

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

Weekly Installs

148

Repository

aj-geddes/usefu…-prompts

GitHub Stars

127

First Seen

Jan 21, 2026

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