<aside> 📚 📁 Category: Database

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Overview

Redis is an in-memory data structure store used as database, cache, and message broker with exceptional performance and versatility.

<aside> ℹ️ Why It Matters: Understanding Redis is essential for building robust, scalable, and secure modern applications.

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Key Concepts

• [x] Data Structures - Strings, Lists, Sets, Hashes
• [x] Pub/Sub - Messaging pattern
• [x] TTL - Time to live for keys
• [x] Persistence - RDB and AOF
• [x] Replication - Master-slave
• [x] Sentinel - High availability
• [x] Cluster - Horizontal scaling
• [x] Lua Scripting - Server-side scripts

Common Use Cases

<aside> 💡 Where to Apply Redis

                        Caching layer
                        Session storage
                        Real-time analytics
                        Message queues
                        Leaderboards
                        Rate limiting

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Best Practices

• [x] Use appropriate data structures
• [x] Set TTL for cache keys
• [x] Implement proper key naming
• [x] Use pipelining for batch operations