agentsclimarketplace

Caching strategy

Skill ulpi-io/plugin-marketplace/plugins/aj-geddes/skills/caching-strategy

Implement efficient caching strategies using Redis, Memcached, CDN, and cache invalidation patterns. Use when optimizing application performance, reducing database load, or improving response times.From its SKILL.md

Install
npx -y skills add ulpi-io/plugin-marketplace --skill caching-strategy

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SKILL.md

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Caching Strategy

Table of Contents

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:

GuideContents
Redis Cache Implementation (Node.js)Redis Cache Implementation (Node.js)
Cache Decorator (Python)Cache Decorator (Python)
Multi-Level CacheMulti-Level Cache
Cache Invalidation StrategiesCache Invalidation Strategies
HTTP Caching HeadersHTTP 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

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