A veces no necesitas un framework — solo necesitas servir una carpeta de archivos, o probar algo rápido, sin salir de la terminal. Aquí van tres niveles de "servidor web local en Python", desde cero configuración hasta un servidor mínimo real. Nivel 1 — Sirve archivos estáticos al instante Python
Making a side project public on GitHub is great for a portfolio — but it's also the fastest way to leak a secret if you're not careful. Here's a practical checklist before (and after) you flip that repo to public. 1. Audit history before you
Vim es un editor de texto altamente configurable diseñado para la terminal en sistemas UNIX y macOS. Es una gran opción para editar archivos dentro de un servidor remoto o incluso archivos locales, pero puede volverse difícil de mantener rápidamente si empiezas a instalar 20+ plugins solo para que se
Sometimes you don't need a framework — you just need to serve a folder of files, or test something quickly, without leaving your terminal. Here are three levels of “local Python web server,” from zero setup to a real minimal server. Level 1 — Serve static files instantly Python ships
Un poco de contexto sobre cómo llegué a este error: 💡Mi infraestructura está corriendo una versión containerizada de Ghost usando Docker Compose. La aplicación está desplegada detrás de un reverse proxy containerizado con Nginx, que se encarga de la terminación HTTPS utilizando certificados de Let's Encrypt. En este
Tanto PostgreSQL como MySQL son dos de las bases de datos relacionales open-source más populares. Ambas son sólidas, pero destacan en escenarios ligeramente diferentes. Empecemos con PostgreSQL * Se enfoca en el cumplimiento de estándares y funcionalidades avanzadas * A menudo se describe como una base de datos objeto-relacional * Altamente extensible (tipos
There are two types of developers: 1. The ones who install everything directly on the server 2. The ones who already got burned and now use containers If you’ve never had a production server break because of a random apt upgrade, this post might save you from that moment.
What is Bash? is a command-line interpreter that lets you interact with your UNIX or Apple OS. Bash is useful for navigating into your system, run programs and automate tasks. For many environments—especially remote servers accessed via SSH—Bash is the main way to interact with the system, since
Vim is a highly configurable text editor designed for the terminal on UNIX systems and macOS. It’s a great choice for editing files inside a remote server or even local files, but it can quickly become hard to maintain if you start installing 20+ plugins just to make it
Choosing the Right Container Deployment Tool Containers changed how we deploy applications, but choosing the right tool to manage them can be confusing. Three common approaches are Dokku, Docker Compose, and Kubernetes. They all run containerized applications, but they target very different use cases. 1. Docker Compose – The simplest option
Both PostgreSQL and MySQL are two of the most popular open-source relational databases. They’re both solid, but they shine in slightly different scenarios. Lets start with Postgres: * Focuses on standards compliance and advanced features * Often described as an object-relational database * Highly extensible (custom types, functions, extensions) * Better for complex
A little bit of a background on how I ended up having this error: 💡My infrastructure is running a containerized version of Ghost using Docker Compose. The application is deployed behind a containerized Nginx reverse proxy that handles HTTPS termination using Let's Encrypt certificates. In this setup, the
Blogs en Español
Training Stack fue creado como una forma de documentar los pasos que he seguido al resolver problemas reales en entornos de producción. Con el tiempo, me di cuenta de que el mayor crecimiento no vino de los tutoriales, sino de investigar los problemas, entender el por qué detrás de ellos
English Posts
I created Training Stack as a way to document the steps I’ve taken while solving real-life production problems. Over time, I realized that the biggest growth didn’t come from tutorials, but from researching issues, understanding the why behind them, and eventually getting things to work in real environments.