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What Is Redis? An In-Memory Database and Caching Guide

F. Çağrı Bilgehan17 Ocak 202610 dk okuma
rediscachedatabaseperformance

What Is Redis? An In-Memory Database and Caching Guide

Database too slow? API response times too long? The answer is likely Redis — the world's most popular in-memory data store.

What Is Redis?

Redis (Remote Dictionary Server) is an open-source data structure store that keeps data in memory (RAM). It's 10-100x faster than disk-based databases.

Disk-based DB:  Request → Disk I/O → Response (5-50ms)
Redis:          Request → RAM      → Response (0.1-1ms)

Data Structures

Strings — Basic key-value pairs and counters

Hashes — Object-like structured data

Lists — Ordered collections (queues)

Sets — Unique value collections

Sorted Sets — Ranked data (leaderboards)

Use Cases

1. Caching

Store frequently accessed data to reduce database load:

async function getUser(userId) {
  const cached = await redis.get(`user:${userId}`);
  if (cached) return JSON.parse(cached);

  const user = await db.users.findById(userId);
  await redis.set(`user:${userId}`, JSON.stringify(user), 'EX', 3600);
  return user;
}

2. Session Management — Store user sessions for stateless apps

3. Rate Limiting — Throttle API requests per user

4. Pub/Sub — Real-time messaging between services

5. Queues — Background job processing (BullMQ)

Cache Strategies

| Strategy | Description | Use Case | |----------|-------------|----------| | Cache-Aside | App manages cache | General purpose | | Write-Through | Update cache on write | Consistency critical | | Write-Behind | Write cache first, DB later | Performance critical | | TTL | Auto-expire after time | Most scenarios |

Redis vs Alternatives

| Feature | Redis | Memcached | DragonflyDB | |---------|-------|-----------|-------------| | Data structures | Rich | String only | Rich | | Persistence | Optional | No | Yes | | Pub/Sub | Yes | No | Yes |

Conclusion

Redis can dramatically boost your application's speed. Ideal for caching, sessions, rate limiting, and real-time features. Use it as a complementary layer, not a primary data store.

Learn Redis and performance optimization at LabLudus.

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