CI/CD pipeline guides — integrate automated testing into your deployment pipeline and ship with confidence.
Monorepo
Bazel is Google's open-source build system, designed from the ground up for very large monorepos. It powers testing at companies where a single repository contains millions of lines of code across dozens of languages. Its approach to testing is fundamentally different from other tools: Bazel treats tests
Monorepo
The most common CI problem in monorepos is running too many tests on every commit. A change to a CSS file triggers a full backend test suite. An API schema update re-runs E2E tests for three unrelated apps. Over time, CI becomes a 45-minute wall that developers learn
Testing
GitOps treats infrastructure like application code: changes go through pull requests, get reviewed, pass CI, and deploy automatically. But infrastructure PRs need different validation than application PRs. A bad dependency upgrade might break a test; a bad Terraform change might delete your database. This guide covers how to build CI/
Security Testing
DevSecOps integrates security testing into every stage of the CI/CD pipeline instead of running it as a separate gate at the end. The principle is "shift left"—move security checks earlier in the development process where they're cheaper to fix. A complete DevSecOps pipeline runs
Testing
Integration tests that run against a shared staging environment are a liability. Two PRs land simultaneously, one migrates the database schema, and suddenly the other PR's test suite is failing against an incompatible schema it didn't create. Teams work around this with test locks, serialized merge
CI/CD
A 45-minute test pipeline kills developer productivity. By the time CI finishes, context has switched, the fix is forgotten, and momentum is gone. Test parallelization is the highest-leverage optimization available — most teams can cut their pipeline time by 60-80% without changing a single test. This guide covers
CI/CD
Jenkins remains the most widely deployed CI/CD platform in enterprises. It's flexible, self-hosted, and supports nearly any language or test framework through plugins. The tradeoff is configuration complexity — Jenkins pipelines require more explicit setup than hosted alternatives. This guide shows how to configure Jenkins for reliable,
CI/CD
GitHub Actions has become the default CI/CD platform for most teams on GitHub — it's built in, free for public repos, and flexible enough for complex pipelines. But getting testing right in Actions requires more than copying a starter workflow. This guide covers the patterns that actually work
CI/CD
GitLab CI is tightly integrated with GitLab repositories — pipelines run automatically, test results appear in merge requests, and everything lives in one platform. The .gitlab-ci.yml file defines your entire pipeline. This guide shows how to structure it for comprehensive automated testing. Basic Pipeline Structure GitLab CI pipelines are
CI/CD
CircleCI is built around developer experience — fast pipelines, intelligent test splitting, and native Docker support. The config.yml format is explicit but powerful. This guide covers how to configure CircleCI for fast, reliable automated testing across unit, integration, and end-to-end tests. Basic config.yml Structure CircleCI pipelines are
CI/CD
CI/CD pipelines exist to give developers fast, reliable feedback. When every commit triggers tests and deployment happens automatically, your pipeline's design directly affects both developer productivity and production reliability. Most teams get the tooling right but the strategy wrong — they run too many slow tests too early,
CI/CD
Getting TestCafe running locally is straightforward. Getting it to run reliably in CI — across PRs, on merge, and on a schedule — requires configuring headless browsers, handling flakiness, managing environment variables, and collecting artifacts when tests fail. This guide covers production-ready TestCafe CI setups for GitHub Actions and GitLab CI.