This content originally appeared on DEV Community and was authored by DevCorner
1⃣ Introduction
- What is Redis?
- Why was Redis created?
- Importance of in-memory databases in modern applications.
2⃣ Why Redis Exists?
-
Limitations of Traditional Databases
- Disk-based storage latency.
- High read/write response time.
- Concurrency challenges.
-
Need for Speed and Scalability
- Low-latency operations for real-time applications.
- Efficient caching solutions.
3⃣ Key Features of Redis
- Blazing Fast Performance (Sub-millisecond latency)
- Data Persistence (RDB, AOF, Hybrid)
- Data Structures Support (Strings, Lists, Sets, Hashes, Sorted Sets, Bitmaps, HyperLogLogs, Streams)
- Replication & High Availability (Master-Slave, Redis Sentinel)
- Partitioning & Clustering (Sharding for horizontal scaling)
- Pub/Sub Messaging System
- Lua Scripting Support
- Atomic Transactions (MULTI, EXEC, WATCH)
4⃣ Redis Use Cases
- Caching (Faster access to frequently used data)
- Session Management (Storing user sessions in web applications)
- Leaderboards & Counting (Gaming & ranking systems)
- Real-time Analytics (Live user tracking, monitoring)
- Message Queues (Lightweight alternative to Kafka/RabbitMQ)
- Rate Limiting (API throttling & controlling requests per user)
- Geospatial Data Storage (Location-based applications)
5⃣ Redis Architecture
- Single-threaded Model & Performance Optimization
- Memory Management & Eviction Policies
- Replication Mechanism (Master-Slave Replication)
- Redis Cluster for Scalability
- Sentinel for High Availability
6⃣ Redis vs. Other Databases
| Feature | Redis | Memcached | MySQL/PostgreSQL | MongoDB |
|---|---|---|---|---|
| Data Storage | In-Memory | In-Memory | Disk-Based | Disk-Based |
| Persistence | Yes (AOF/RDB) | No | Yes | Yes |
| Data Structures | Rich | Simple (Key-Value) | Relational | Document-Based |
| Clustering | Yes | No | Yes | Yes |
| Use Case | Caching, Pub/Sub, Leaderboards | Caching | Transactions, Complex Queries | NoSQL, Flexible Schema |
7⃣ How to Use Redis? (Setup & Examples)
- Installing Redis (Linux, Windows, Docker)
-
Basic Redis Commands (
SET,GET,DEL,INCR,EXPIRE) - Using Redis with Spring Boot / Java
- Using Redis with Python
8⃣ Redis Persistence Mechanisms
-
RDB (Redis Database File)
- Snapshot-based persistence.
-
AOF (Append-Only File)
- Logs every write operation.
-
Hybrid Persistence
- Combining both for reliability.
9⃣ Redis Eviction Policies (Cache Expiry Strategies)
- Least Recently Used (LRU)
- Least Frequently Used (LFU)
- Random Eviction
- No Eviction (Error if memory is full)
Scaling Redis
- Partitioning Strategies
- Redis Cluster for Horizontal Scaling
- Read Replicas for Load Balancing
- Sharding for Large Datasets
1⃣1⃣ Common Redis Mistakes & Best Practices
- Avoiding memory bloat.
- Setting proper eviction policies.
- Configuring persistence settings wisely.
- Optimizing key expiration and TTL management.
1⃣2⃣ Conclusion
- Summary of Redis benefits.
- When to use Redis (and when not to).
- Future of Redis (Redis Stack, AI/ML use cases).
Would you like me to expand any section or provide code snippets? 
This content originally appeared on DEV Community and was authored by DevCorner