CI/CD pipeline guides — integrate automated testing into your deployment pipeline and ship with confidence.
Docker
Dockerfiles are code. Treat them like code. Use hadolint to catch anti-patterns at write time, container-structure-test to verify what your image actually contains, and layer inspection to keep builds lean and fast. This guide walks through a practical testing pipeline for Dockerfiles from lint to CI enforcement.
Docker Compose
Docker Compose creates complete multi-service environments for integration testing: your app, database, cache, and message queue all in one network. This guide covers writing test Compose files, running tests against them in CI, managing service startup order, and cleaning up after tests. Integration tests that run against real infrastructure—
CI/CD
Running Selenium tests across browsers means running on multiple machines. A single browser session is single-threaded — you cannot run Chrome and Firefox tests simultaneously on one WebDriver instance. Selenium Grid solves this by acting as a router: your tests send WebDriver requests to the Grid, and the Grid dispatches
Testing
Running Detox tests in CI requires matching simulator/emulator availability to your runner OS, caching dependencies, and handling the slow parts (app builds, simulator boot) efficiently. This guide covers complete CI configurations for GitHub Actions and GitLab CI for both iOS and Android. Key Takeaways * iOS requires macOS runners — this
Continuous Testing
Continuous testing is the backbone of a high-velocity engineering team. Without it, every deployment becomes a gamble.
Supply Chain Security
Automated dependency updates are your first line of defense against supply chain vulnerabilities.
Test Reliability
Flaky tests don't fix themselves. Left unaddressed, they multiply — developers copy patterns from flaky tests, shared infrastructure accumulates timing assumptions, and eventually the CI pipeline becomes a game of "rerun until green." This is a practical playbook for detecting flakiness, quarantining failing tests without abandoning coverage,
Deployment Testing
Deployment verification testing (DVT) is the set of checks you run immediately after a deployment completes to confirm the new version is working correctly in the target environment. It bridges the gap between "the deployment pipeline succeeded" and "the application is actually working." A successful CI
Deployment Testing
Rollback is the escape hatch you reach for when a deployment goes wrong. Most teams assume it works. Few test it. The teams that discover their rollback is broken do so at the worst possible moment — during a production incident, under pressure, with customers waiting. This guide covers how to
Load Testing
Running load tests manually after every deployment is a discipline that erodes over time.
Testing Tools
The hardest part of shipping software is not writing it — it's knowing whether what you shipped is working. Deployment pipelines that run tests, pass CI, and complete without errors frequently deploy broken software. The tests passed because they tested the wrong things, or because the production environment differs
Robot Framework
Getting Robot Framework into CI and making the results useful are two different problems. Running RF in CI is straightforward — robot tests/ and done. Making those results actionable, fast, and properly gated takes more work. This post covers both. What Robot Framework Produces Every RF execution generates three output files: