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16+ curated questions with the same answer shape every time: quick recap, deep dive, pitfalls, and follow-ups. Coverage includes redis data structures, caching strategies, cache patterns, cache invalidation, and more.
Suggested path
Topics follow a teaching order. Each answer ends with a clear Next question control so you can move forward without hunting the list.
Redis and caching interviews test whether you understand the cache as a system with its own failure modes. This module is an elevation arc: it opens with Redis data structures (the primitives — strings, lists, sets, hashes, sorted sets), then caching strategies (cache-aside, read-through, write-through) and patterns. Cache invalidation — the hardest problem — follows, then Redis persistence and the Spring Data Redis code tier. Caffeine (the in-process cache), distributed caching, and Redis advanced features (Lua, pub/sub, streams) are the advanced tier. It closes with performance optimization, comparisons, and scenario-based questions.
Full catalog
Topics are ordered for learning. Within each topic, rows are numbered 1–16 globally so you always know where you are. Collapse topics if you want a lighter view — use Expand all when you need the full list again.
Numbers 1–16 follow the order we recommend — click any row to open the full answer, or use the sticky Next link at the bottom of each page to go Q1 → Q16.
Interviewers rarely ask Redis & Caching in isolation. These are the modules that most often come up in the same loop.