Classification: Executable reference pipeline
This repository turns the documented delivery sequence into a reproducible pipeline using a small, self-contained Python service.
- Python compilation
- unit test
- Bandit static analysis
- pip-audit dependency review
- container image build
- Trivy container scan
- runtime smoke test against the built image
The security tools are version-pinned, GitHub Actions are pinned to immutable commit SHAs, and repository permissions are read-only.
python -m unittest -vThe sample application uses only the Python standard library. requirements.txt is intentionally empty of runtime packages so dependency evidence is explicit rather than hidden.
This workflow does not deploy to AWS, Azure, Kubernetes or any customer environment. It uses no deployment credentials and makes no production-outcome claim.
A production delivery pipeline would add environment approval, signed or attested artifacts, target-specific deployment, post-deployment verification and rollback controls.
A passing run proves that the tested commit passed the gates listed above at that time. It does not prove customer delivery, production availability, SOC 2 compliance or the absence of every possible security issue.
See pipeline.md for the reference sequence.
For context on the engineering area represented in this repository:
The repository classification, scope and limitations remain as documented above.