Practical articles on AI, DevOps, Cloud, Linux, and infrastructure engineering.
A prioritized toolkit for cutting CI time: measure the critical path first, then cache, parallelize, run only what changed, and shrink the work itself.
Stop stashing long-lived AWS access keys in GitHub secrets and let OIDC hand your workflows short-lived, scoped credentials instead.
Run only the CI jobs a change actually affects using if conditionals, trigger path filters, and per-job path detection in a monorepo.
Most GitHub Actions pain comes from the same handful of jobs done wrong. This is the map: the recipes that make pipelines fast, secure, and cheap.
A practical guide to building, tagging, caching, and pushing Docker images from GitHub Actions using buildx, GHCR, and multi-arch builds.
Stop re-downloading the same packages on every CI run by caching dependencies with keys that actually hit.
A practical guide to scoping GitHub Actions secrets correctly, avoiding leaks in logs, blocking fork-PR theft, and preferring OIDC over stored keys.
A practical guide to matrix builds in GitHub Actions that tests across versions and platforms without burning your monthly minutes.
Every CI/CD platform claims to be fast and easy. The real differences are in pricing, self-hosting, and where each one falls apart at scale. This is the map.
Buildkite runs the control plane and lets you own the compute; Actions keeps everything close to your repo. Here's how they actually differ once you scale.
Hosted runners bill by the minute, and that meter never stops. Here's the break-even math on running your own, plus the tradeoffs nobody warns you about.
A team was burning 40,000 CI minutes a month and could not say why. Here is how GitHub Actions billing actually works and where the money leaks.
