Ever used Redis caching and thought:
“It works…but what’s actually happening under the hood?” 🤔
I recently deep-dived into Redis caching and broke it down from first principles:
- What Redis really stores (spoiler: it’s bytes, not JSON)
- How Java objects become cache entries
- The real role of serializers and ObjectMapper
- Why cache hits are fast and cache misses aren’t
- How Spring Cache ties everything together
Instead of just configuration snippets, I focused on how data actually flows:
Java Object → JSON → Bytes → Redis → Bytes → JSON → Java Object
If you’ve ever struggled to explain Redis caching clearly to teammates, juniors, or even in interviews - this one’s for you.
Read the full article here:
https://medium.com/@khajamoinuddinsameer/redis-caching-explained-simply-how-it-really-works-under-the-hood-with-spring-boot-examples-f5d7a5e51620
💬 Would love to hear:
How are you using Redis in your projects?
Any caching pitfalls you’ve faced in production?