Docker Compose Management with Modular Makefiles
Managing Docker Compose environments across development, testing, and production can become unwieldy as projects scale. Simple docker compose up commands evolve into sprawling collections of script...
Managing Docker Compose environments across development, testing, and production can become unwieldy as projects scale. Simple docker compose up commands evolve into sprawling collections of script...
Most git workflows assume a network connection. Clone from GitHub, push to origin, open a pull request. But entire categories of development happen where no network exists — classified defense syst...
Technical reports present multiple classes of information — fitted parameters, validation outcomes, warnings, and explanatory notes — that require distinct visual treatment. The tcolorbox package p...
Building a pre-commit validation pipeline that catches formatting errors, broken includes, missing citations, and accidentally staged build artifacts before they pollute the repository. Note: C...
Abstract Logging frameworks for C++ applications range from minimal single-header solutions to comprehensive libraries with extensive feature sets and corresponding dependency chains. This paper p...
Building custom Pandoc filters to handle Mermaid diagrams, syntax highlighting, TikZ rendering, and conditional code display in a Markdown-to-PDF pipeline. Note: Code examples in this post are ...
The Yocto Project provides a powerful framework for creating custom embedded Linux distributions, but configuration management remains a persistent challenge. Layer dependencies, branch coordinatio...
Backups don’t need to be complicated. This post presents a single-file rsync wrapper that handles the common cases: excluding development cruft, resuming interrupted transfers, and optionally verif...
Gantt charts visualize project timelines, task dependencies, and progress at a glance. This post presents a modular LaTeX system using pgfgantt with custom enhancements: weekend shading, alternatin...
Technical analysis demands reproducibility. Results must trace back to source data through documented transformations. Traditional workflows fragment this chain: analysts explore in Jupyter, then m...