Publish Docker image workflow (u14app/deep-research)
The Publish Docker image workflow from u14app/deep-research, 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 Publish Docker image workflow from the u14app/deep-research 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: Publish Docker image
on:
push:
tags:
# Push events matching v*, such as v1.0, v20.15.10, etc. to trigger workflows
- "v*"
jobs:
push_to_registry:
name: Push Docker image to Docker Hub
runs-on: ubuntu-latest
steps:
- name: Check out the repo
uses: actions/checkout@v3
- name: Log in to Docker Hub
uses: docker/login-action@v2
with:
username: ${{ secrets.DOCKER_USERNAME }}
password: ${{ secrets.DOCKER_PASSWORD }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@v4
with:
images: xiangfa/deep-research
tags: |
type=raw,value=latest
type=ref,event=tag
- name: Set up QEMU
uses: docker/setup-qemu-action@v2
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@v2
- name: Build and push Docker image
uses: docker/build-push-action@v4
with:
context: .
platforms: linux/amd64,linux/arm64
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
cache-from: type=gha
cache-to: type=gha,mode=max
The same workflow, on Latchkey
Removes redundant runs and caps runaway jobs. Added and changed lines are highlighted.
name: Publish Docker image on: push: tags: # Push events matching v*, such as v1.0, v20.15.10, etc. to trigger workflows - "v*" concurrency: group: ${{ github.workflow }}-${{ github.ref }} cancel-in-progress: true jobs: push_to_registry: timeout-minutes: 30 name: Push Docker image to Docker Hub runs-on: latchkey-small steps: - name: Check out the repo uses: actions/checkout@v3 - name: Log in to Docker Hub uses: docker/login-action@v2 with: username: ${{ secrets.DOCKER_USERNAME }} password: ${{ secrets.DOCKER_PASSWORD }} - name: Extract metadata (tags, labels) for Docker id: meta uses: docker/metadata-action@v4 with: images: xiangfa/deep-research tags: | type=raw,value=latest type=ref,event=tag - name: Set up QEMU uses: docker/setup-qemu-action@v2 - name: Set up Docker Buildx uses: docker/setup-buildx-action@v2 - name: Build and push Docker image uses: docker/build-push-action@v4 with: context: . platforms: linux/amd64,linux/arm64 push: true tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} cache-from: type=gha cache-to: type=gha,mode=max
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.
5 third-party actions are referenced by a movable tag. Pin them 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:
- Container pulls and builds
This workflow runs 1 job per trigger. On Latchkey the same minutes cost up to 58% less than GitHub-hosted, with zero queue time.