Becoming a tech lead was the goal from pretty early in my career. I had a clear picture of what the role was. More responsibility, more influence over the work, more of the interesting problems landing on my desk because someone had to figure them out and that someone, finally, would be me. It read like the natural next step. The thing you graduate to once you're good enough. What that picture did
The Problem If you're like me, you live in your terminal. You've got Docker containers running for databases, Redis instances for caching, microservices doing their thing — and you're constantly context-switching to check on them. # The old way: docker ps docker logs my-app -n 50 docker stats docker inspect some_container # ... back and forth, breaking your flow Now imagine you're working with
If your team works with geospatial data, sooner or later you need a place where maps, layers, users, and edits live together. There are many capable SaaS platforms and proprietary solutions you can deploy on your own infrastructure, but there is another path: self-hosting an open-source Web GIS server. In this tutorial, we will deploy NextGIS Web on a low-cost VPS using Docker, and then configure
I use AI coding agents every day. I believe they are reshaping how we build software, and I think the teams that adopt them deliberately will outperform those that don't. I am not writing this to warn you away from AI-assisted development. I am writing this because the loudest voices in the AI enthusiasm camp are also the most allergic to discussing what can go wrong. And that worries me more than
Exemplo mínimo de uso com Bun (baseado na documentação oficial) Aviso: Este exemplo é puramente acadêmico, baseado na documentação oficial do Next.js. Para um ambiente de produção real, ajustes adicionais de segurança, performance e monitoramento são necessários. 1 - Ajustar o next.config.ts para "Standalone": import type { NextConfig } from "next"; const nextConfig: NextConfig = { output: "
Yesterday, my Jenkins pipeline could install dependencies and build the frontend. But there was a missing piece: Docker. Without it, I couldn't package my applications into containers — the whole point of this challenge! Today, I fixed that. I configured Jenkins to build Docker images for both my backend and frontend, turning my CI pipeline into a complete build system. The pipeline could: Pull co
If you’ve ever tried to set up an Intel RealSense camera with ROS 2 on a fresh machine, you already know the pattern: it works on one system, then breaks on another, and you lose time chasing environment differences. That’s why I put together realsense-ros2-docker — a small, focused repository that provides a simple Dockerfile for RealSense bring-up with ROS 2. Repo: https://github.com/SAJIB3489/r