---
title: "Discussion on \"Redis Patterns Every Backend Engineer Should Know\" | Hashnode"
description: "Discussion on \"Redis Patterns Every Backend Engineer Should Know\". Caching, idempotency, rate limiting, distributed locks — and when not to use Redis at all. Five patterns with Python examples and the failure modes"
url: "https://hashnode.com/posts/redis-patterns-every-backend-engineer-should-know/6abe320c8c269df6ae50774c"
---

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# [Redis Patterns Every Backend Engineer Should Know](https://blog.madhav.dev/redis-patterns-every-backend-engineer-should-know?utm_source=hashnode&utm_medium=feed)

Caching, idempotency, rate limiting, distributed locks — and when not to use Redis at all. Five patterns with Python examples and the failure modes

Oct 1 · 6 min read · blog.madhav.dev  
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## Written by

[Madhav Bhasin](https://hashnode.com/@madhavbhasin)

@madhavbhasin · Noida, India

  
[View profile](https://hashnode.com/@madhavbhasin)

Production patterns for backend engineers who are tired of hello-world tutorials.

Senior full-stack engineer and engineering lead with 5+ years building cloud-native systems at scale. I write about the things the docs don't cover — GCP, FastAPI, Terraform, event-driven architecture, and AI-powered backends. No hello-world demos.

## Responses 1

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[Arnold Holm](https://hashnode.com/@stratcorealpha)

[Oct 17](https://hashnode.com/posts/redis-patterns-every-backend-engineer-should-know/6abe320c8c269df6ae50774c/comment/6ad3273baa3b1b23226fda9c)

One failure case worth adding to the cache example: the fetch takes longer than the five-second lock. A second worker acquires a new lock, then the first worker's finally block deletes it. The unique token and compare-and-delete from section 4 would protect this path too. A test with a deliberately slow fetch would make the difference visible.