Redis Caching & Data Store
Use Redis for high-performance caching, session storage, pub/sub messaging, and real-time leaderboards.
Overview
As a cache, Redis dramatically reduces database load by storing frequently accessed data in memory with configurable TTL (time-to-live). Cache-aside, write-through, and write-behind patterns can be implemented depending on consistency requirements. Redis also serves as a session store, replacing server-side session storage with a shared, fast store that works across multiple application instances.
Beyond caching, Redis provides pub/sub messaging for real-time features, sorted sets for leaderboards and rate limiting, streams for event sourcing, and Lua scripting for atomic operations. Redis Cluster provides horizontal scaling with automatic sharding, while Redis Sentinel handles high availability with automatic failover. The node-redis client supports pipelining, transactions, and client-side caching for optimal performance.
Who Is This For?
- Cache database query results with configurable TTL
- Store user sessions in Redis for multi-server deployments
- Implement real-time pub/sub messaging between services
- Build leaderboards and ranking systems with sorted sets
Installation
npm install redis Configuration
import { createClient } from "redis"
const redis = createClient({ url: process.env.REDIS_URL })
await redis.connect()
// Cache with TTL
await redis.setEx("user:123", 3600, JSON.stringify(userData))
const cached = await redis.get("user:123")
// Pub/Sub
await redis.publish("notifications", JSON.stringify(event)) Explore AI Tools
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