Cleanup cache workflow (zen-browser/desktop)
The Cleanup cache workflow from zen-browser/desktop, explained and optimized by Latchkey.
A
CI health: A - excellent
Point runs-on at Latchkey and get job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Cleanup cache workflow from the zen-browser/desktop repository, a real project running GitHub Actions. It is shown here with attribution under its MPL-2.0 license.
Below, Latchkey shows a faster, safer version produced by its optimization engine.
The workflow
workflow (.yml)
name: Cleanup cache
on:
workflow_dispatch:
jobs:
cleanup:
runs-on: ubuntu-latest
permissions: write-all
steps:
- name: Cleanup
run: |
echo "Fetching list of cache key"
cacheKeysForPR=$(gh cache list --limit 1000 --json id --jq '.[].id')
## Setting this to not fail the workflow while deleting cache keys.
set +e
echo "Deleting caches..."
for cacheKey in $cacheKeysForPR
do
gh cache delete $cacheKey
done
echo "Done"
env:
GH_TOKEN: ${{ github.token }}
GH_REPO: ${{ github.repository }}
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Cleanup cache on: workflow_dispatch: jobs: cleanup: timeout-minutes: 30 runs-on: latchkey-small permissions: write-all steps: - name: Cleanup run: | echo "Fetching list of cache key" cacheKeysForPR=$(gh cache list --limit 1000 --json id --jq '.[].id') ## Setting this to not fail the workflow while deleting cache keys. set +e echo "Deleting caches..." for cacheKey in $cacheKeysForPR do gh cache delete $cacheKey done echo "Done" env: GH_TOKEN: ${{ github.token }} GH_REPO: ${{ github.repository }}
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. - Add a job timeout so a hung step cannot burn hours of runner time.
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.