---
title: "Discussion on \"Cache Invalidation The Untold Challenge of Scalability\" | Hashnode"
description: "Discussion on \"Cache Invalidation The Untold Challenge of Scalability\". The Overlooked Challenge Every Distributed System Faces"
url: "https://hashnode.com/posts/cache-invalidation-the-untold-challenge-of-scalability/69306a22231bd664f42dc180"
---

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# [Cache Invalidation The Untold Challenge of Scalability](https://saravanasai.hashnode.dev/cache-invalidation-the-untold-challenge-of-scalability?utm_source=hashnode&utm_medium=feed)

The Overlooked Challenge Every Distributed System Faces

Dec 3, 2025 · 10 min read · saravanasai.hashnode.dev  
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-   [#caching](https://hashnode.com/tag/caching)
-   [#caching-strategies](https://hashnode.com/tag/caching-strategies)
-   [#caching-benefits](https://hashnode.com/tag/caching-benefits)
-   [#system-design](https://hashnode.com/tag/system-design)
-   [#system-design-interview](https://hashnode.com/tag/system-design-interview)
-   [#systemdesign](https://hashnode.com/tag/systemdesign)
-   [#distributed-systems](https://hashnode.com/tag/distributed-systems)
-   [#software-architecture](https://hashnode.com/tag/software-architecture)

## Written by

[Saravana Thiyagarajan](https://hashnode.com/@Saravana-Thiyagaraja)

@Saravana-Thiyagaraja · Bangalore,karnataka,India

  
[View profile](https://hashnode.com/@Saravana-Thiyagaraja)

Backend Engineer | Emerging Solution Architect Designing and building scalable systems with a focus on performance & reliability.

4+ years of experience building scalable backend systems using Node.js, Laravel, and Go. Moving towards Solution Architecture with strong foundations in distributed systems and cloud. Passionate about system design, databases, protocols, and high-performance services. Laravel Stream-Pulse Laravel package for Event-Driven Architecture (EDA) using Redis Streams. Enables scalable event publishing & consuming directly inside Laravel. Ideal for real-time apps and microservice event workflows. GoQueue Lightweight, production-ready job queue in Go with multiple backends (Redis, SQLite, SQS). Supports retries, dead-letter queues, and graceful shutdown. Benchmarked for high-throughput event processing.

## Responses 1

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[Abhishek Prakash](https://hashnode.com/@shade)

[Dec 3, 2025](https://hashnode.com/posts/cache-invalidation-the-untold-challenge-of-scalability/69306a22231bd664f42dc180/comment/6930c492f706f000c60d5cc3)

Nice Article! However, I have two questions:

1.  How frequently does the cache invalidates?
2.  Exactly when will you increment the cache counter in the redis?

[Saravana Thiyagarajan](https://hashnode.com/@Saravana-Thiyagaraja)

[Dec 4, 2025](https://hashnode.com/posts/cache-invalidation-the-untold-challenge-of-scalability/69306a22231bd664f42dc180/comment/6930c492f706f000c60d5cc3#reply-69310a7ff1555384b0f8e6a1)

The cache invalidation based on the data source which that particular report uses.

E.g. : If the report is for sales with particular filter. There can be a new sales entry. Now we invalidate cache & the report query run once again cache it.

when will you increment the cache counter in the redis?

when every you setting a new value for that particular key which already cached. We increase the version counter. so cache miss would happen on next request which warm the cache up again.