Cuando una aplicación necesita leer un archivo, escribir en una conexión TCP o esperar datos de un disco, el kernel de Linux ofrece tradicionalmente dos caminos: bloquear el proceso hasta que la operación termine, o usar interfaces como epoll y Linux AIO para manejar múltiples operaciones concurrentes. Durante casi tres décadas, esas fueron las opciones dominantes. Pero desde la versión 5.1 del ke
When Google announced the Manifest V3 deadline, the developer community had a lot to say — most of it negative. The service worker model was rightly criticized as a regression for ad blockers and complex extensions. I've now migrated 18 extensions from MV2 to MV3, or built them MV3-native from the start. The commonly documented issues (no persistent background pages, limited webRequest) are real.
The Autonomous Paradox In 2026, we’ve moved past simple chatbots. We are building Production-Grade RAG pipelines and autonomous agents that can plan, execute, and iterate. But as an architect, I’ve noticed a glaring hole in our "Agentic" future: Identity Sprawl. We are giving agents non-human identities (NHI) with "Full Admin" permissions just to ensure the RAG works smoothly. We are effectively
At a certain point, data migration stops being just about moving records from one place to another. On paper, simplicity sounds clean, but once you are dealing with large datasets, it can quickly spin out of control. You begin to struggle with fetching safely, processing reliably, recovering from failure, and resuming without corrupting data. This was the challenge in a wallet log migration I work
Client-side caching is usually implemented as a storage optimization layer (TTL, SWR, invalidation rules). In practice it behaves like a decision system under uncertainty. Static strategies fail when data volatility is non-uniform across the same application. This leads to either stale UI or excessive network traffic. This article breaks down: why standard caching approaches plateau where ML impro
As of February 2026, the Sui network has accumulated $2.6 billion in total value locked across its ecosystem and processed $2.03 trillion in stablecoin transfer volume. These metrics reflect not marketing momentum but fundamental architectural decisions that enable scale. Understanding why Sui achieves these numbers requires examining the technical layers that make horizontal scalability workable:
Most agency onboarding fails before the kickoff call happens. Not because the team isn't good. Not because the client is difficult. Because nobody collected the right context upfront, and the kickoff call becomes the place where everyone discovers what they don't know yet. The intake form is the fix. Not a 3-question "tell us about your project" form. A real one. Here's the framework we use — 27 q
What is Azure Storage? Azure storage is Microsoft's cloud storage solution. It allows storage of unstructured data, pdfs, file shares etc. The following steps in this article outlines how I was able to create storage for the department's testing and training. In the Azure portal, search for and select Resource groups Select + Create Give your resource group a name. For example, storagerg