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@ratelock/redis

v0.1.1

Published

Redis storage backend for RateLock rate limiting system

Readme

RateLock Redis (@ratelock/redis)


@ratelock/redis provides a robust, distributed rate limiting solution using Redis as a backend. It's the ideal choice for applications running in a multi-server or serverless environment, ensuring consistent rate limiting across your entire infrastructure.

✨ Key Features

  • 🌐 Distributed & Scalable: Reliably enforce rate limits across any number of servers or processes.
  • 🚀 High Performance: Leverages the speed of Redis and uses optimized Lua scripts for atomic operations, preventing race conditions and ensuring maximum performance.
  • 🛡️ Consistent State: Provides a single source of truth for rate limit counters, no matter where the request is handled.
  • ⚙️ Simple API: Get started quickly with a clean, factory-based API similar to other RateLock adapters.
  • 💪 Resilient: Built to handle enterprise-level traffic and benefits from Redis's stability.

📦 Installation

This package has a peer dependency on redis. You need to install both:

npm install @ratelock/redis redis
# or
yarn add @ratelock/redis redis
# or
pnpm add @ratelock/redis redis

🚀 Getting Started

Here is a basic example of how to create a Fixed Window rate limiter connected to your Redis instance.

import { createClient } from 'redis'
import { createFixedWindowLimiter } from '@ratelock/redis'

// 1. Create and connect your Redis client
const redisClient = createClient({
    // Your Redis configuration
    url: 'redis://localhost:6379',
})
await redisClient.connect()

// 2. Create the rate limiter, passing the client to the storage config
const { limiter } = await createFixedWindowLimiter({
    strategy: {
        limit: 15, // Allow 15 requests
        windowMs: 60000, // per 60 seconds
    },
    storage: {
        client: redisClient,
        // Optional prefix for all keys stored in Redis
        prefix: 'my-app-ratelimit',
    },
})

// 3. Use the limiter in your application (e.g., with Fastify)
server.get('/api/protected', async (request, reply) => {
    const userId = request.ip
    const result = await limiter.check(userId)

    if (!result.allowed) {
        return reply.status(429).send({ message: 'Too Many Requests' })
    }

    reply.header('X-RateLimit-Limit', result.limit)
    reply.header('X-RateLimit-Remaining', result.remaining)

    return { message: 'You have access!' }
})

🤖 Atomic Operations with Lua

To ensure the highest level of performance and prevent race conditions, @ratelock/redis implements all core logic in pre-loaded Lua scripts. This guarantees that operations like incrementing a counter are atomic, meaning they are performed as a single, indivisible operation within Redis.

📚 Strategies

You can easily create a limiter for any supported strategy by importing its dedicated factory function:

  • createFixedWindowLimiter
  • createSlidingWindowLimiter
  • createTokenBucketLimiter
  • createIndividualFixedWindowLimiter

📜 License

This project is licensed under the MIT License.