Deploy MkDocs workflow (eli64s/readme-ai)
The Deploy MkDocs workflow from eli64s/readme-ai, explained and optimized by Latchkey.
CI health: F - at risk
Point runs-on at Latchkey and get caching, run de-duplication, job timeouts, SHA-pinned actions, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Deploy MkDocs workflow from the eli64s/readme-ai repository, a real project running GitHub Actions. It is shown here with attribution under its MIT license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
name: Deploy MkDocs
on: [push, pull_request]
jobs:
deploy:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up Python
uses: actions/setup-python@v2
with:
python-version: '3.x'
- name: Install Poetry
run: |
python -m pip install --upgrade pip
pip install poetry
- name: Install dependencies
run: |
poetry install
- name: Build the MkDocs site
working-directory: ./docs
run: |
poetry run mkdocs build --site-dir ../site
- name: Deploy to GitHub Pages
uses: peaceiris/actions-gh-pages@v3
if: github.ref == 'refs/heads/main'
with:
github_token: ${{ secrets.GITHUB_TOKEN }}
publish_dir: ./site
The same workflow, on Latchkey
Estimated ~20% faster on cache hits, plus fewer wasted runs and a safer supply chain. Added and changed lines are highlighted.
name: Deploy MkDocs on: [push, pull_request] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: deploy: timeout-minutes: 30 runs-on: latchkey-small steps: - uses: actions/checkout@v3 - name: Set up Python uses: actions/setup-python@v2 with: cache: 'pip' python-version: '3.x' - name: Install Poetry run: | python -m pip install --upgrade pip pip install poetry - name: Install dependencies run: | poetry install - name: Build the MkDocs site working-directory: ./docs run: | poetry run mkdocs build --site-dir ../site - name: Deploy to GitHub Pages uses: peaceiris/actions-gh-pages@v3 if: github.ref == 'refs/heads/main' with: github_token: ${{ secrets.GITHUB_TOKEN }} publish_dir: ./site
What changed
- Run on Latchkey managed runners with one line (
runs-on), which apply the fixes below automatically and self-heal transient failures. This example useslatchkey-small; pick the runner size that fits the job. - Cancel superseded runs when a branch or PR gets a newer push.
- Cache dependency installs on the setup step so they are served from cache.
- Add a job timeout so a hung step cannot burn hours of runner time.
1 third-party action is referenced by a movable tag. Pin it to the commit SHA (Latchkey resolves and applies this automatically) so a repointed tag cannot change what runs.
What Latchkey heals here
This workflow has steps that commonly fail on transient issues (network, registries, flaky browsers). On Latchkey managed runners they are detected, retried, and self-healed instead of failing your build:
- Dependency installs
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.