How do you implement automated testing workflows in CI/CD pipelines?

Automated testing in CI/CD orchestrates multiple test stages triggered by code changes. The workflow starts when a developer pushes code or opens a pull request. Static analysis runs linting, type checking, and security scanning. Unit tests execute in parallel across test suites. Integration tests verify component interactions against test databases and mock services. Contract tests validate API compatibility between services. End-to-end tests simulate user workflows through the complete application stack. Performance tests measure response times, throughput, and resource utilization against benchmarks. The pipeline gates progression between stages, requiring all tests in one stage to pass before advancing. Failed tests provide detailed reports with logs, screenshots, and reproduction steps. Branch protection rules prevent merging code that fails required test suites. Flaky test detection identifies unreliable tests for quarantine. Test result analytics track quality trends across builds and identify recurring failure patterns.