How Cron Jobs Work in Laravel: A Developer's Guide

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A tutorial published on DEV Community on March 11, 2025 explains how cron jobs function within the Laravel framework. The article, written by Oluwajubelo, is aimed at developers looking to understand task scheduling in Laravel applications. It covers the core concepts behind cron jobs and how they integrate with Laravel's built-in scheduling features. The post, estimated at a three-minute read, received six reactions from the developer community. It was tagged under Laravel, cron jobs, and general programming topics.

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How barometer.today builds its animated global isobar maps using open weather data

Barometer.today, part of the SimpleMeteo.com network, generates animated world isobar maps updated four times daily using ECMWF global forecast data fetched via a self-hosted Open-Meteo server. The maps display sea-level pressure contours hour by hour, spanning from 24 hours in the past to four days ahead, with roughly 120 frames produced per model update cycle. Raw grid data is smoothed using a Gaussian blur to eliminate jagged contour lines, though the blur radius is carefully limited to avoid masking extreme weather events such as hurricanes. A key technical challenge involves high-altitude plateaus like the Himalayas and Andes, where sea-level pressure calculations are mathematically extrapolated over non-existent air, potentially skewing nearby values by several hectopascals. The team addresses this with a normalized convolution technique that excludes elevated terrain cells from the blur, while rendering isobars over those masked regions as dashed lines to signal extrapolated data.

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ProgrammingDEV Community ·

Developer Turns Idle Steam Deck Into a Home Lab Server Using BarkVisor

A software developer has repurposed his wife's Steam Deck into a home lab server node by installing BarkVisor on SteamOS during its idle time. The Steam Deck was configured as a worker device, joining a local network alongside Mac and Linux machines to run virtual machines and local AI models via Ollama. BarkVisor was installed in agent-only mode, meaning the handheld retains full gaming functionality while contributing computing resources when not in use. The setup required unlocking SteamOS's read-only filesystem, configuring pacman package keys, and installing a QEMU-based virtualization stack. The author published a step-by-step walkthrough aimed at users who want to extend existing hardware into a home lab without dedicated server equipment.

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ProgrammingDEV Community ·

How to Secure RMM Tools Like ScreenConnect Against Attacker Abuse

Remote monitoring and management (RMM) tools such as ScreenConnect are increasingly exploited by attackers because they are trusted by default, run with high privileges, and rarely flagged by traditional antivirus software. Cybersecurity experts warn that compromising a single RMM credential can give an attacker persistent, wide-ranging access across an organization without needing custom malware. Key warning signs of abuse include unfamiliar RMM software appearing on endpoints, sessions outside normal support hours, unexpected installs on servers, and rapid deployment across multiple machines. Recommended defenses include scoping user permissions to the minimum required, separating RMM admin accounts from everyday credentials, requiring approval for new device enrollment, and auditing standing access at least quarterly. Security professionals advise treating RMM software as a privileged access path rather than a routine application, and flagging any install that cannot be immediately attributed to a known user or task.

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ProgrammingDEV Community ·

How Engineers Are Closing the Sim-to-Real Gap in Robot AI Training

A persistent challenge in robot learning is that policies performing well in simulation often fail on real hardware, a problem known as the sim-to-real gap. The gap stems from three main sources: mismatched visuals, inaccurate physics models, and real-world sensor noise and latency that simulators typically ignore. Engineers are advised to first calibrate simulators against real robot measurements — tuning friction, actuator response, and joint damping — before applying broader techniques like domain randomization. For vision-based systems, matching camera parameters such as resolution, field of view, and preprocessing steps between simulation and hardware is equally critical. A staged validation pipeline, moving from pure simulation through perturbation testing and supervised real-world rollouts, is recommended before any fully autonomous deployment.

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