Redis

In-memory data store.

When To Use

• Caching
• Sessions
• Real-time
• Rate limiting

What To Do

1. Connect

import { createClient } from 'redis'

const client = createClient({
  url: 'redis://localhost:6379'
})
await client.connect()

2. Operations

3. Patterns

// Cache
await client.set('user:1', JSON.stringify(user))
const user = JSON.parse(await client.get('user:1'))

// Session
await client.setex(`sess:${id}`, 3600, data)

// Rate limit
const count = await client.incr(`ratelimit:${key}`)

4. Use Cases

Output

## Redis

| Key | Type | TTL |
|-----|------|-----|
| user:1 | string | [n]s |

### operations
- [n] total

Role: Redis Operator Input: Keys, values Output: Fast data

In-memory speed.