Module 3: Reliability & Delivery

CI, Build Reproducibility & Deployment

Automate checks and make each deployment traceable and reversible.

Learning objectives

By the end of this lesson, you should be able to:

  • Explain the key concepts and when they are useful.
  • Apply the concepts to a realistic engineering scenario.
  • Identify common failure modes and choose a practical mitigation.
  • Complete the assignment and explain your design decisions.

Core concepts

A reliable pipeline checks formatting, linting, type errors, unit tests, integration tests, and production builds before publishing. Pin runtime versions and lock dependencies. Separate build-time configuration from secrets and keep deployment artifacts tied to a commit SHA.

Worked example

A GitHub Actions workflow should fail fast on quality checks and publish only from a trusted branch. Secrets belong in repository or environment secrets, never committed to YAML or exposed in client-side variables. Use health checks and a rollback path.

Engineering principles

  1. Make assumptions explicit. Document expected inputs, outputs, ownership, and failure behavior.
  2. Validate at boundaries. Treat user input, files, messages, and third-party responses as untrusted.
  3. Design for failure. Decide what happens when dependencies time out, data is malformed, or a process is retried.
  4. Prefer observable behavior. Log meaningful outcomes and expose enough diagnostics to debug without leaking secrets.
  5. Test the invariant. A test should prove a property that must remain true, not merely repeat the implementation.

Practical assignment

Draft a CI checklist for a frontend and API repository. Decide which checks run on pull requests and which steps are allowed only on the main branch.

Suggested solution and reasoning

Pull requests run install-from-lockfile, lint, typecheck, tests, and build. Main-branch deployment uses protected environment secrets, deploys an immutable artifact, performs a smoke test, and documents rollback.

Use this as a reference design, not the only possible answer. A strong submission states assumptions, includes failure cases, and demonstrates how correctness will be tested.

Knowledge check

  1. What problem does this design solve, and what simpler alternative did you consider?
  2. Which input or dependency is most likely to fail?
  3. What invariant must remain true after a retry?
  4. How would you test the unhappy path?

Completion checklist

  • I can explain the concepts without reading the lesson.
  • I completed the practical assignment.
  • I tested at least one failure scenario.
  • I documented trade-offs and next steps.

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