Go workflow (kashav/fsql)
The Go workflow from kashav/fsql, explained and optimized by Latchkey.
C
CI health: C - fair
Point runs-on at Latchkey and get run de-duplication, job timeouts, self-healing for flaky steps, and up to 58% lower cost, applied automatically.
What it does
This is the Go workflow from the kashav/fsql 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
workflow (.yml)
name: Go
on:
push:
branches: [ master ]
pull_request:
branches: [ master ]
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
go-version: [ '1.19', '1.20', '1.21' ]
steps:
- uses: actions/checkout@v3
- name: Set up Go ${{ matrix.go-version }}
uses: actions/setup-go@v3
with:
go-version: ${{ matrix.go-version }}
- name: Install dependencies
run: go get .
- name: Build
run: make
- name: Test
run: make test
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Go on: push: branches: [ master ] pull_request: branches: [ master ] concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: build: timeout-minutes: 30 runs-on: latchkey-small strategy: matrix: go-version: [ '1.19', '1.20', '1.21' ] steps: - uses: actions/checkout@v3 - name: Set up Go ${{ matrix.go-version }} uses: actions/setup-go@v3 with: go-version: ${{ matrix.go-version }} - name: Install dependencies run: go get . - name: Build run: make - name: Test run: make test
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 - Cancel superseded runs when a branch or PR gets a newer push.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.
This workflow runs 1 job (3 with the matrix expanded) per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.