Tutorials System Design Tutorial
Redis in Scalable Architectures — Complete Guide
Redis in Scalable Architectures — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of System Design Tutorial on Toolliyo Academy.
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System Design Tutorial · Lesson 31 of 100
Redis in Scalable Architectures
Basics → Scale → Interview
Basics · 1 — Building blocks · ~6 min · Module 4: Caching and Storage
What is this?
Redis is an in-memory store used for caches, sessions, rate-limit counters, and simple queues/locks.
Why should you care?
ShopNest product cache and rate limits need microsecond–millisecond access that disks cannot match.
See it live — copy this example
Sketch the architecture on paper. These lessons focus on concepts and trade-offs.
GET product:42 → Redis HIT → return JSON
MISS → SQL → SET product:42 EX 60
Also: INCR rate:user:9 with TTL 60s
Careful: Redis is not your source of truth for ordersRun Example »
This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.
What happened?
- Cache-aside is the common pattern.
- TTLs bound staleness.
- Persistence modes exist, but treat Redis as speed layer unless you deliberately design durability.
Practice next
- Cache ShopNest PDP JSON with 60s TTL.
- Use Redis for gateway rate counters.
- Define stampede protection (lock or probabilistic early expire).
- Add cache stampede lock for bestsellers.
- Measure hit ratio for product keys.
Remember
Redis accelerates hot data. TTL and miss paths matter. Source of truth stays in durable DB.
PDP cache
ShopNest caches product payloads in Redis.
Outcome: SQL QPS drops while page latency improves.
Interview prep for this lesson
Practice these questions aloud after reading—each links to a full structured answer.
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