release-please workflow (Mause/duckdb_engine)
The release-please workflow from Mause/duckdb_engine, 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 release-please workflow from the Mause/duckdb_engine 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
on:
push:
branches:
- main
workflow_dispatch:
name: release-please
jobs:
release-please:
runs-on: ubuntu-latest
steps:
- run: npx release-please debug-config --repo-url https://github.com/Mause/duckdb_engine
- uses: googleapis/release-please-action@v4
with:
release-type: python
token: ${{ secrets.ACCESS_TOKEN }}
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
on: push: branches: - main workflow_dispatch: name: release-please concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: release-please: timeout-minutes: 30 runs-on: latchkey-small steps: - run: npx release-please debug-config --repo-url https://github.com/Mause/duckdb_engine - uses: googleapis/release-please-action@v4 with: release-type: python token: ${{ secrets.ACCESS_TOKEN }}
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 - Cancel superseded runs when a branch or PR gets a newer push.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.