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#caching

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10 articles

Distributed Caching at Scale: Mitigating the Thundering Herd

Distributed Caching at Scale In a distributed system, caching is often the difference between a sub-100ms response and a total system collapse. However, most developers treat Redis as a simple "key-value bucket." At scal…

Apr 20, 20263 min read

Deep DiveBackend Systems Mastery

#caching#redis#distributed-systems

JavaExpert

CPU Pipeline Stalls: Identifying Cache Misses in Java

CPU Pipeline Stalls: The Hidden Bottleneck When your Java code runs slower than expected, it is often because of "Stalls." The CPU pipeline flushes because it couldn't fetch data from the cache in time. 1. Cache Lines (6…

Apr 20, 20261 min read

Deep DiveAdvanced Java Mastery

#java#performance#cpu

JavaExpert

Hardware-Level False Sharing: Designing High-Speed Java Objects

False Sharing: The Ghost in the Machine Multi-threaded Java code is often throttled not by the code, but by the CPU's memory architecture. 1. Cache Lines The CPU loads data from RAM in 64-byte chunks called Cache Lines.…

Apr 20, 20261 min read

Deep DiveAdvanced Java Mastery

#java#performance#cpu

DatabasesAdvanced

Negative Result Caching: Protecting Databases

Negative Result Caching If a user searches for a non-existent ID, don't let that query hit your main database every time. Cache the (or "not found") result in Redis with a short TTL to protect your system.

Apr 20, 20261 min read

Deep Dive

#caching#performance#security

DatabasesAdvanced

Redis in Production: 5 Common Pitfalls and How to Avoid Them

Redis in Production: Common Gotchas Redis is incredibly fast, but its single-threaded nature means that a single mistake can bring down your entire application's performance. Here are 5 common pitfalls developers face wh…

Apr 20, 20262 min read

Deep Dive

#redis#performance#production-best-practices

System DesignIntermediate

System Design: Designing a Content Delivery Network (CDN)

System Design: Designing a Content Delivery Network (CDN) A CDN is a geographically distributed group of servers that work together to provide fast delivery of internet content. By caching assets (images, videos, JS/CSS)…

Apr 20, 20263 min read

Deep Dive

#system-design#cdn#caching

System DesignAdvanced

System Design: Designing Twitter (Timeline and News Feed)

System Design: Designing Twitter (Timeline and News Feed) Twitter (now X) is a massive real-time messaging system. The core technical challenge is not storing the tweets, but delivering them to millions of followers' tim…

Apr 20, 20263 min read

Case Study

#system-design#twitter#scalability

System DesignAdvanced

System Design: Building a Distributed Cache

At small scale, cache looks like a simple optimization. Put Redis in front of the database, cache a few expensive reads, and enjoy lower latency. At production scale, a distributed cache stops being a helper library and…

Apr 10, 202614 min read

Deep Dive

#system design#distributed cache#redis

DatabasesAdvanced

Cache Invalidation Patterns: TTL, Write-Through, Cache-Aside, and Event-Driven Eviction

Cache invalidation is hard because the cache is not the source of truth. It is a copy, and every copy has a consistency problem. The real question is not "how do we make cache perfectly consistent?" The better question i…

Apr 7, 20265 min read

Deep Dive

#cache invalidation#redis#caching

DatabasesAdvanced

Redis Caching Strategy at Scale: Beyond Simple Key-Value

Every senior engineer has fought a caching bug that looked simple and turned out to be a distributed systems problem. Cache stampedes, thundering herds, avalanche failures — these happen at scale and they are expensive.…

May 3, 202511 min read

Deep Dive

#redis#caching#java