You've likely heard that "Data is the new oil". But raw oil is useless without a refinery. In the world of Big Data, Apache Spark is that refinery. Whether it's millisecond-level fraud detection or processing terabytes of logs, Spark's ability to handle massive scale with in-memory speed is why it remains a core skill for every ML & Data Engineer. Here are 5 real-world problems and exactly how Spa
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
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: "
Data is no longer treated as a byproduct of business operations and has become one of the most valuable organizational assets. Every interaction on a banking application, e-commerce platform, hospital system, logistics network or social media service generates data continuously. As organizations increasingly adopt digital workflows, cloud platforms, machine learning systems and real-time applicati
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