If you've worked with Drupal long enough, you've faced this decision: Do I build a custom module for this or can ECA handle it? Use ECA When The logic is workflow-based Non-developers need to maintain it ECA workflows live in the admin UI. Your client or site admin can read, modify, and debug them without touching code. A custom module cannot offer that. Speed matters A workflow that would tak
The first article on this blog explained how it was built in 30 minutes with Claude Code. Naturally, a blog needs comments. Same constraints: no database, no external dependencies, no Disqus tracking visitors. Just PHP + JSON files. Built in one session with Claude Code — the interesting part wasn't the code, it was the security audit that followed. A comment system without a database seems trivia
Every distributed system you build is already taking a side in the CAP trade-off. The question is whether you made that choice deliberately or discover it during an incident. CAP states that a distributed system can guarantee at most two of three properties: Consistency, Availability, and Partition Tolerance. The critical insight most teams miss — P is not optional. Networks fail. Pods crash. AZs
I was skeptical at first. Not about AI in general — but about whether it would actually fit into my workflow. I work mostly with legacy PHP and jQuery. The kind of codebase that was written before half the frameworks people talk about today even existed. Some Vue.js here and there in newer parts, but a lot of the core is raw PHP, procedural logic, and jQuery doing things you probably don't want to
Introduction Backup plugins are useful — but they are not a real disaster‑recovery strategy. In this article, I break down the real reasons why backup plugins fail, what actually happens during a server‑level crash, and how to build a recovery plan that works in the real world. Backup Plugins Only Work When WordPress Works A backup plugin depends on: WordPress running PHP running MySQL running the
Em sistemas distribuídos modernos, garantir que todos os nós tenham exatamente os mesmos dados ao mesmo tempo pode ser caro, lento ou simplesmente inviável. É aí que entra o conceito de consistência eventual, um dos pilares fundamentais de arquiteturas escaláveis. O que é Consistência Eventual? Consistência eventual é um modelo de consistência onde, dado tempo suficiente e ausência de novas atuali
When people start working with high performance computing or parallel systems, “memory” often sounds like a background detail. It’s not. The way memory is structured can completely change how your applications behave, scale, and even fail. Let’s break it down in a practical way. ⸻ What is Shared Memory? In a shared memory system, all processors access the same memory space. Think of it
Introduction Picture two doctors updating the same patient record at the same time - one in São Paulo, the other in London. Both are offline. When connectivity returns, whose changes prevail? This is not a hypothetical. It is the everyday reality of distributed systems: multiple nodes, no shared clock, no guaranteed network. The conventional answer has long been locking - one node waits while an