Deploy Docs workflow (graphql-python/graphene-sqlalchemy)
The Deploy Docs workflow from graphql-python/graphene-sqlalchemy, explained and optimized by Latchkey.
CI health: C - fair
Point runs-on at Latchkey and get 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 Docs workflow from the graphql-python/graphene-sqlalchemy 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 Docs
# Runs on pushes targeting the default branch
on:
push:
branches: [master]
jobs:
pages:
runs-on: ubuntu-22.04
environment:
name: github-pages
url: ${{ steps.deployment.outputs.page_url }}
permissions:
pages: write
id-token: write
steps:
- id: deployment
uses: sphinx-notes/pages@v3
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Deploy Docs # Runs on pushes targeting the default branch on: push: branches: [master] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: pages: timeout-minutes: 30 runs-on: latchkey-small environment: name: github-pages url: ${{ steps.deployment.outputs.page_url }} permissions: pages: write id-token: write steps: - id: deployment uses: sphinx-notes/pages@v3
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 - Cancel superseded runs when a branch or PR gets a newer push.
- 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.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.