In the fast-paced world of continuous integration and deployment (CI/CD), managing sensitive information like API keys, tokens, and credentials—collectively known as secrets—is not just a best practice; it's a critical foundation for security and efficiency. GitHub Actions provides a robust framework for automating workflows, but a common friction point for many development teams, particularly tho
The Challenge of Scalable Secrets Management in GitHub Actions For development teams scaling beyond a handful of repositories, managing environment-specific variables and secrets in GitHub Actions can quickly become a significant bottleneck. The manual duplication of configurations across multiple repos, especially when dealing with distinct environments like development, staging, and production
I got tired of the same three-step content publish loop: write draft → open CMS → paste, format, re-paste, fight the rich-text editor, click publish. Repeat for every environment — staging, then production. For one article, fine. For a team publishing 20+ pieces a month? That workflow is a quiet tax on everyone's time. So I wired up a pipeline that cuts the loop entirely. You commit a .md file to
Most teams I have worked with have one auth test in their suite. It looks like this: test('valid token verifies', () => { const token = signSync({ sub: 'user-1', aud: 'api://backend' }, secret); const result = verify(token, options); expect(result.valid).toBe(true); }); That test is fine. It is also a smoke test, not a regression suite. It catches the case where verification is completely b
My Hugo blog was downloading 3.6 MB of JavaScript and 40 KB of external CSS on every page load. For a static blog with mostly text and a few diagrams, that was absurd. Here is how I fixed it. HTML: 86 KB JavaScript: 3.6 MB (Mermaid + KaTeX) CSS: 40 KB (KaTeX stylesheets) Problem: render-blocking scripts loaded on every page for math and diagrams Adding minifyOutput = true to hugo.toml shrunk HTML
Optimisation HLS pour DOMTOM Ce dépôt documente une approche orientée ingénierie réseau pour optimiser la distribution HLS (HTTP Live Streaming) dans les territoires DOMTOM. L’objectif est d’améliorer la stabilité de lecture, la latence effective et la robustesse face aux variations de gigue, tout en respectant les contraintes de décodage client, de parsing de manifestes, et de routage ISP. Pers
Contournement du flux vidéo FAI DOMTOM — FAQ Développeur (réseau, protocoles, parsing) Point de vue : cette FAQ est rédigée du point de vue d’un ingénieur logiciel/réseau traitant la couche transport, le routage ISP, la signalisation de session et la reconstruction applicative (parsing, dé-multiplexage, adaptation de manifestes), spécifiquement dans des contextes DOM-TOM où les chemins d’achemi