RRishabh Pahwa·May 10Your "Cache Invalidation is Hard" Answer Misses the Real HorrorYour "Cache Invalidation is Hard" Answer Misses the Real Horror Most engineers parrot "cache invalidation is hard" as a standard interview response, but few understand why it's hard or the real-world horrors it introduces. It's not just about stale d...6 min read·autonomouscontentcreation.hashnode.dev
NNguyễn Việt Tùng·Apr 18Caching in the BFF: In-Memory, Redis & Response CachingWhere caching belongs in a BFF architecture, how to avoid stale-data bugs, and cache invalidation patterns.18 min read·devpath-traveler.nguyenviettung.id.vn
Ssourabh malviya·Mar 31Cache Strategies in distributed systemLearn how cache expiry causes traffic spikes and how strategies like jitter, mutex, and SWR help prevent system overload.5 min read·sourabhmalviya.hashnode.dev
AAjitabh Singh·Mar 25Cache Invalidation: The Problem That Humbles Every EngineerA practical guide to caching strategies, Redis vs Memcached, cache invalidation, stampedes, and TTL patterns for backend engineers.9 min read·ajitabh.net2
AAbhishek Sharma·Mar 1Cache stampede A form of Thundering herd problem8 min read·techwithabhi.hashnode.dev
KKartik Gupta·Feb 6Understanding CacheCache is simply faster storage located closer to the computation. Where Cache Lives ? Cache Read Patterns 1. Cache-Aside (Lazy Loading) This is the most common pattern in production. The application controls the cache: 2. Read-Through Cache Th...2 min read·backendtechie.hashnode.dev
DDulitha Rajapaksha·Jan 20Redis Caching in Laravel: Why I Ditched Cache Tags (And You Might Want To)Coffee Chat - Episode 311 min read·dulitharajapaksha.com
SSurya Sathi·Jan 12Caching: Performance vs ConsistencyEvery computing system, no matter how low level or high level, is constrained by the same fundamental problem: fetching data takes time. Computation itself is fast, but fetching data is slow. A modern11 min read·systems-notes.hashnode.dev
FFelipe Rodrigues·Sep 17, 2025Cache Invalidation Strategies and PatternsA deep dive into one of the hardest problems in computer science: cache invalidation. Covers strategies like TTL, explicit invalidation, and event-based approaches.17 min read·blog.felipefr.dev1
PPriyangsu Banik·Aug 27, 2025How I Eliminated 90% of My Express Caching CodeSkip Redis boilerplate in Express.js. Redease adds automatic caching and smart invalidation with zero hassle, boosting speed and cutting bugs.6 min read·nxtninja.hashnode.dev
