Summary: Redis Was a Toolbox
Using Redis only as a cache is like taking a Ferrari to the grocery store. Sure, it's fast, but the real performance shows on the circuit.
Key Takeaways:
- Data structures are everything: Don't just use String—apply Hash, List, Set, Sorted Set where appropriate.
- It's more than cache: Redis handles sessions, rankings, rate limiting, Pub/Sub, and more.
- Memory is finite: Without TTL settings, you're doomed. Cost matters too.
- Persistence is optional: RDB/AOF can protect data but aren't perfect. Important data should live in a database.
- Managed is the answer: ElastiCache, Upstash, Vercel KV. Self-hosting wastes time.
Redis is a Swiss Army knife. It's a blade, scissors, and screwdriver. But knowing when to pull out which tool is what matters. Now I use Redis beyond caching as a core system design tool. Rankings with Sorted Set, sessions with Hash + TTL, rate limiting with sliding window. When used appropriately, Redis becomes magic.