Advanced CI/CD Pipelines
Implementing advanced CI/CD pipelines — from build caching and parallel jobs through matrix testing, deployment strategies, and pipeline optimization.
When to Use
- Optimizing CI/CD pipeline speed and reliability
- Implementing parallel job execution and build caching
- Matrix testing across platforms and versions
- Blue/green or canary deployment strategies
- Building self-service CI/CD for multiple teams
CI/CD Optimization
CI_OPTIMIZATIONS = {
'caching': 'Cache node_modules, pip, docker layers, Gradle/Maven — restore in seconds',
'parallelism': 'Split tests across N parallel runners (matrix strategy)',
'selective_execution': 'Run only affected tests (Nx/Turborepo), skip unchanged code paths',
'pre_built_images': 'Use pre-built docker images with common deps, not installing from scratch',
}
CI_MATRIX_CONFIG = """
strategy:
matrix:
os: [ubuntu-latest, windows-latest, macos-latest]
node: [18, 20, 22]
include:
- os: ubuntu-latest
node: 20
coverage: true
"""
def estimate_pipeline_speed(tests: int, parallel_runners: int = 4,
cache_hit: bool = True) -> Dict:
setup_time = 60 if not cache_hit else 15 # seconds
test_time_per_runner = (tests * 2) / parallel_runners # 2 seconds per test
total = setup_time + test_time_per_runner
return {'setup_seconds': setup_time, 'test_seconds': round(test_time_per_runner), 'total_seconds': round(total)}
Verification Checklist
- Build caching configured (package manager + docker layer)
- Parallel job execution across runners
- Matrix testing across required platforms/versions
- Selective execution (only changed modules tested)
- Pipeline completes under 10 minutes
- Deployment strategy (blue/green or canary) implemented
- Failure notifications and rollback automation