#Redis

I only used Redis as a cache until I discovered it handles sessions, leaderboards, pub/sub, and rate limiting. It's a Swiss Army knife.

Look-aside pattern vs Write-Through. LRU Eviction explained. Persistence trade-offs (RDB vs AOF). Single-threaded nature of Redis.

Without a Rate Limiter, your own users can accidentally DDOS your server. I compare core algorithms like Token Bucket, Leaky Bucket, and Sliding Window, and show how to implement a distributed Rate Limiter using Redis and Lua Scripts.

Users complained about getting logged out after I scaled the servers. Here's my journey from Sticky Sessions to Redis Store, and finally to JWT.

Where should you place your cache? A deep dive into Cache-Aside, Read-Through, Write-Back, and Write-Around patterns. Includes advanced topics like Cache Penetration, Breakdown, Avalanche, and a comparison of Distributed vs Local Caching.

From DRAM leakage currents to ECC, HBM, and real benchmarks (fio, sysbench). A developer's guide going beyond simple analogies.