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ai-workflow-course/modules/18-continuous-delivery-and-deployment/lab/cd-starter.yml
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claude 2684095e2f Build out all 27 modules + capstone (#1)
Co-authored-by: claude <claude@jpaul.io>
Co-committed-by: claude <claude@jpaul.io>
2026-06-22 12:19:01 -04:00

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YAML

# Starter CD pipeline for the tasks-app — GitHub Actions flavor, extending the Module 14 CI file.
#
# The whole idea: CD is not a new system. It is MORE STAGES on the SAME pipeline, after the checks
# pass. The lint/test gates below are the Module 14 pipeline, unchanged. Everything from the
# `build-and-publish` job down is new in this module.
#
# Where this file goes: .github/workflows/cd.yml (or fold it into your existing ci.yml). On GitLab,
# the same shape is stages in .gitlab-ci.yml with `needs:`/`rules:`; Forgejo/Gitea use Actions-
# compatible YAML. The concept — gated stages from merge to running — is identical everywhere.
#
# VERIFY BEFORE PUBLISH: action versions, the registry login/build-push action names, and the
# manual-approval mechanism all drift. Check current forge docs at build time (see README checklist).
name: CD
on:
push:
branches: [main] # only a MERGE to main triggers a deploy
pull_request: # PRs still run the gates, but never deploy
jobs:
# ---- The Module 14 gates: nothing ships without passing these first. ----------------------------
check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: "3.12"
- run: pip install pytest ruff
- run: ruff check . # lint
- run: pytest -q # test
# In a real pipeline a security-scan job (Module 15) would also gate here.
# ---- Build the artifact ONCE and publish it. The unit of deploy is an immutable, SHA-tagged image.
build-and-publish:
needs: check # only runs if the gates passed
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
# Log in to your container registry (Module 16's images need a durable home, like a Git remote
# is for commits). Registry/credentials are provider-specific — supply them as secrets,
# never inline (Module 17).
# - uses: docker/login-action@v3
# with:
# registry: ${{ vars.REGISTRY }}
# username: ${{ secrets.REGISTRY_USER }}
# password: ${{ secrets.REGISTRY_TOKEN }}
# Build and push, tagging with the commit SHA (immutable + traceable) and :staging (moving).
# - uses: docker/build-push-action@v6
# with:
# push: true
# tags: |
# ${{ vars.REGISTRY }}/tasks-app:${{ github.sha }}
# ${{ vars.REGISTRY }}/tasks-app:staging
- run: echo "build + push tasks-app:${{ github.sha }} (wire up the registry steps above)"
# ---- Deploy to a NON-prod environment automatically. Safe to do on every merge. ----------------
deploy-staging:
needs: build-and-publish
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
steps:
# The five deploy steps live in deploy.sh in this folder. On a real target this would run the
# platform's deploy (kubectl / platform CLI / compose) against the SHA-tagged image, inject
# runtime config + secrets (Module 17), health-check, and roll back on failure.
- run: echo "deploy tasks-app:${{ github.sha }} to STAGING, health-check, roll back if red"
# ---- THIS JOB IS THE DELIVERY-vs-DEPLOYMENT SWITCH. ---------------------------------------------
#
# As written, `environment: production` requires a human to approve before this job runs (set a
# required reviewer on the 'production' environment in the forge). That is CONTINUOUS DELIVERY:
# the artifact is auto-built and staged; a person clicks to ship to prod.
#
# Delete the `environment:` block and this becomes CONTINUOUS DEPLOYMENT: merge -> prod, no human.
# Only remove it once you trust your review + CI + security gates (Modules 10/14/15) more than you
# trust the click. On GitLab the equivalent switch is `when: manual` vs. automatic.
deploy-prod:
needs: deploy-staging
if: github.ref == 'refs/heads/main'
runs-on: ubuntu-latest
environment: production # <-- required-reviewer gate = delivery. Remove = deployment.
steps:
- run: echo "deploy tasks-app:${{ github.sha }} to PRODUCTION (gated on human approval)"