Your CI Docker build reruns every layer on every push. With the right layer ordering, BuildKit cache mounts, and remote caching, you can cut a 4-minute build to under 30 seconds. Here is exactly how.
Automate your changelog generation, version bumps, and npm/git tag creation using conventional commits and semantic-release. A practical setup that runs in CI and eliminates manual release work.
The deploy script kills the old process, the load balancer still points at it, and every active connection gets a 502. Here is the blue-green deployment pattern that switches traffic atomically, runs smoke tests in the live slot, and rolls back in under five seconds.
Scheduled manual dependency updates are a productivity tax that guarantees you will lag behind every critical CVE by weeks. Here is a Renovate configuration that automates the whole pipeline: grouping, scheduling, auto-merging safe updates, and fire-drilling security fixes without human triage.
A feature ships. Performance drops 15 points. Nobody notices until the SRE dashboard turns red at 3 a.m. Here is how to run Lighthouse in CI, define hard budgets for LCP, TBT, and bundle size, and fail every PR that makes the site slower.
Your M2 Mac builds a working Docker image. Your AMD64 production server crashes with "exec format error" or segfaults on a native addon. Here is the buildx setup, QEMU binfmt registration, platform-specific dependency handling, and GitHub Actions workflow that makes one Dockerfile produce images for arm64 and amd64 that actually work.
A migration that looks fine in a code review drops a production table on deploy. Here is a CI pipeline that catches destructive changes, tests rollbacks against real data, and verifies performance impact before your database ever sees a DDL statement.
The packages you depend on can turn malicious overnight. Here is a practical pipeline for auditing npm dependencies, detecting hijacked packages, enforcing lockfile integrity, and preventing supply chain attacks in CI without blocking every deploy.
A no-fluff guide to shipping a real CI/CD pipeline that lints, tests, builds, and deploys automatically, without the enterprise boilerplate.
A naive monorepo CI runs all jobs on every PR, takes 25 minutes, and burns money. The version that works has path-filtered jobs, cross-job caching, and reusable workflows. Here is the working setup that runs in 4 minutes for a typical PR.