#cache

😵‍💫It was there a moment ago: The LRU cache story

I once had a very stupid problem while working on a system that used an LRU cache.

Why we use Redis or Distributed Database over local Application cache

Beware of Edge Caching. Lower Egress Costs, But Increased GCP Monthly Bills?

Installing Cloud CDN in front of Google Cloud Storage (GCS) under the assumption that caching will definitely save data transfer (egress)…

Redis Is Not Just a Cache: 6 Redis Capabilities We Used in a Real Production System

Ask most developers what Redis is for, and you’ll get one answer: caching. “Check Redis before hitting the database; if it’s there, return…

The Ultimate Guide to Software Optimization: Bentley’s Rules Modernized

Performance optimization is not about making code “clever.” It is about systematically reducing unnecessary work while preserving…

Exactly-Once, Damn It: Building a Payment Idempotency Layer

From a naive proxy to distributed locks, Redis caches, and SHA-256 tamper detection — in six problems.

Scaling Android CI: From 44 → 10 minutes — A Deep Dive into Build Time Optimization and Best…

Android monorepos get expensive and slow as they scale. We re-architected CI/CD caching, trimmed the Gradle graph, tuned the JVM…

.cache() vs .persist() in PySpark: The Performance Secret Most Engineers Never Learn

Database Types

Relational Databases (SQL)

Swollen Storage On Mac ? Let’s Use Mole

Sometimes, after installing applications, some retain cache files that aren’t removed when the app is uninstalled, causing disk usage to…

Hibernate Second-Level Cache

So Before we start Second-Level Cache or L2 Cache let’s first recall First-Level Cache provided by Hibernate, This is the Very High Level…

Redis Beyond Caching: Patterns You Should Know

I used to think Redis was just a cache. You know — throw some frequently accessed data in there, slap a TTL on it, call it a day. Then I…

Building a Reliable CDN for our Library with Cloudflare R2 and Workers

Modern web applications depend on shared JavaScript libraries to ensure consistency and minimise code duplication. At Webmobix Solutions…

C++ Memory Orders on the Metal: Acquire & Release Semantics Explained

Moving past abstract C++ to explore Write Combining Buffers, Prefetch Invalidation and how Intel vs. ARM handle atomics under the hood

Stop Making Your Database Sweat: A Step-by-Step Guide to Caching

“Why on earth did it take so long to fetch that data?!”

Veritabanının Canını Okumayı Bırakın: Adım Adım Cache Rehberi

“Veritabanından o veriyi çekmek neden bu kadar uzun sürdü ya?”

How We Boosted Our Application Speed by 5x Using An Atomic Swap Cache Pattern

In high-performance software engineering, managing system state efficiently is everything. When building scalable systems, handling…

Caching LLM Responses: The Simplest Way to Save Money

One of the biggest misconceptions in AI development is that reducing costs requires switching to a cheaper model.

What is Cache?

A cache is a high-speed data storage layer that stores a subset of data, so that future requests for that data are served much faster than…

Fibra, Starlink y el desafío urgente de las cooperativas

El otro día escuché a unos "gamers" hablar de cómo se habían dado de baja de una red de fibra óptica para pasarse a Starlink. Lo llamativo…

# The Day Redis, CPU Cache and CDN Suddenly Started Making Sense 🚀

For the longest time, these felt like completely different topics.

Choosing the Right Cache Eviction Policy

Your Redis node hits 95% memory utilization, the maxmemory limit triggers, and suddenly your application latency spikes from 15ms to 800ms…

Techniques to Handle Eventual Consistency in UX Without Confusing Users

Creating your own Remote Cache Server for Nx and Lerna with Cacheiro

If you work with monorepos using Nx or Lerna, you already know that remote caching is practically a superpower. The ability to run a build…

How to Prevent a Cache Stampede

Standard TTL-based caching works perfectly until you hit high-traffic keys.

How to Fix Old Data: Choosing a Cache Invalidation Strategy

Choosing the right caching strategy is easy. What sucks is dealing with old data.

Going Deep into Caching, Concurrency, Distributed Locks, and Coordination

In the previous articles, we explored how distributed systems evolved from reliable messaging and delivery guarantees to Outbox Patterns…

How ThunderID Uses Redis for High-Performance Identity Management

From in-memory data structure store to the backbone of a modern IAM system, and how we adapted our SQL-based runtime to make it work

Memory Deep Dive: From Registers to RAM — and Why NumPy is Blazing Fast

Hi Everyone, continuing from my last blog where I went deep into how a CPU works, today I wanted to go one level deeper into something that…

The API Grand Prix: The Treason of the False Signets and the Fallen Gates

Following recent events that lead me to writing this security article and this security advisory, I asked Gemini to hallucinate chapter 15:

The Hidden Architecture Trap: Why Laravel’s Tagged Cache & JWT is a Security Time Bomb

Following this article…

The API Grand Prix: The Sieve of the Nested Cistae and the Four Sovereignties

In this afternoon I was curious about the Laravel’s tagged cache issue and I asked Gemini to brief me about it. Then I had an idea that…

What Happens When Your Laravel Cache Key Collides With Another Tenant

Cache key collisions in multi-tenant Laravel apps are a data leak vulnerability, not a performance bug. Here’s the bug class and three…

The Six-Minute Worm: How trusted publishing turned a closed PR into a global supply chain breach

On May 14, 2026, the open-source community witnessed its most aggressive supply chain escalation to date. In a window of just six minutes…

RESP

The Tiny, Honest Protocol Hiding Inside Redis

Beyond the Memory Wall: How Hierarchical KV Caching & LMCache Unlock Scalable LLM Inference

The Dirty Secret of Production LLMs

Which WordPress Page Cache Plugin Is Really Fast?

WordPress page caching sounds simple: generate a page once, store the finished HTML, and serve it again without rebuilding the full…

Your EKS Nodes Shouldn’t Pull Images at Startup: Auto-Building Bottlerocket Snapshots from ECR…

Every time my EKS cluster scaled up, something felt off.

Scalability from the Client Side

Going from 10,000 users to 10 million isn’t just a backend problem.

Optimizing API Performance Under High Concurrency: A Practical Journey with Spring Cache and…

Imagine a production environment where CPU usage is consistently spiking near 100%. Upon investigation, you discover a perfect storm…

Observability for Hazelcast clients: Micrometer, near-cache, health checks

Hazelcast Toolkit series: Part 5.

How the CPU Breaks Your Multithreading (False Sharing)

Imagine a typical scenario: you’re optimizing a high-load backend or a network service. It doesn’t matter what language you use — C, C++…

Hazelcast Hibernate L2 cache in real Spring Boot apps

Hazelcast Toolkit series: Part 4.

Fast. Cheap. Predictable

“LLM caching” is not one thing, it’s at least six distinct techniques living at different layers of your stack, and most of them you don’t…

IMap listeners as Spring beans: less wiring, clearer event handling

Hazelcast Toolkit series: Part 3.

Mule 4 Object Store: The Complete Guide for Integration Developers

Everything you need to know — from configuration properties to real-world patterns, error handling, and production best practices

Auto-registering Hazelcast Compact serialization in Spring Boot

Hazelcast Toolkit series: Part 2.

Springboot4 — Hazelcast (Cache)

Hari ke 14 mencoba konsisten nulis, hari ini kita akan menggunakan cache lagi tapi kali ini pakai hazelcast embeded. Tapi ketika aplikasi…

Zero-Boilerplate Hazelcast Client for SpringBoot: Meet Hazelcast Toolkit

Hazelcast Toolkit series: Part 1.

How to Use Google Sheets with React Using SheetDB

Fetch, display, and submit data from Google Sheets in your React app — with smart caching that saves you money.