Github Action¶
CI/CD¶
- Continuous Integration and Continuous Delivery
- automate your build, test and deployment
Components¶

- workflow
- events
- push, pull_request, schedule, workflow_dispatch...
- jobs
- build, deploy...
- actions
- checkout, setup-python...
- runners
- ubuntu linux, MS windows, macos
Quick start¶
first example¶
- .github/workflows 에
first.yml을 만들고 아래 내용을 붙여 넣는다.
name: GitHub Actions Demo
on: [push]
jobs:
Explore-GitHub-Actions:
runs-on: ubuntu-latest
steps:
- run: echo "🎉 The job was automatically triggered by a ${{ github.event_name }} event."
- run: echo "🐧 This job is now running on a ${{ runner.os }} server hosted by GitHub!"
- run: echo "🔎 The name of your branch is ${{ github.ref }} and your repository is ${{ github.repository }}."
- name: Check out repository code
uses: actions/checkout@v2
- run: echo "💡 The ${{ github.repository }} repository has been cloned to the runner."
- run: echo "🖥️ The workflow is now ready to test your code on the runner."
- name: List files in the repository
run: |
ls ${{ github.workspace }}
- run: echo "🍏 This job's status is ${{ job.status }}."
Build and Test(CI)¶
python example¶
name: Python package
on: [push]
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version: [3.6, 3.7, 3.8, 3.9]
steps:
- uses: actions/checkout@v2
- name: Set up Python ${{ matrix.python-version }}
uses: actions/setup-python@v2
with:
python-version: ${{ matrix.python-version }}
- name: Install dependencies
run: |
python -m pip install --upgrade pip
pip install flake8 pytest
if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
- name: Lint with flake8
run: |
# stop the build if there are Python syntax errors or undefined names
flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
# exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
flake8 . --count --exit-zero --max-complexity=10 --max-line-length=127 --statistics
- name: Test with pytest
run: |
pytest
- events
- jobs
- runs-on
- strategy
- steps
deployment(CD)¶
deploy docker to AWS¶
- workflow example
name: Deploy to Amazon ECS
on:
push:
branches:
- main
env:
AWS_REGION: MY_AWS_REGION # (1)
ECR_REPOSITORY: MY_ECR_REPOSITORY # (2)
ECS_SERVICE: MY_ECS_SERVICE # (3)
ECS_CLUSTER: MY_ECS_CLUSTER # (4)
ECS_TASK_DEFINITION: MY_ECS_TASK_DEFINITION # (5)
CONTAINER_NAME: MY_CONTAINER_NAME # (6)
jobs:
deploy:
name: Deploy
runs-on: ubuntu-latest
environment: production
steps:
- name: Checkout
uses: actions/checkout@v5
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@0e613a0980cbf65ed5b322eb7a1e075d28913a83
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: ${{ env.AWS_REGION }}
- name: Login to Amazon ECR
id: login-ecr
uses: aws-actions/amazon-ecr-login@62f4f872db3836360b72999f4b87f1ff13310f3a
- name: Build, tag, and push image to Amazon ECR
id: build-image
env:
ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
IMAGE_TAG: ${{ github.sha }}
run: |
# Build a docker container and
# push it to ECR so that it can
# be deployed to ECS.
docker build -t $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG .
docker push $ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG
echo "image=$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG" >> $GITHUB_OUTPUT
- name: Fill in the new image ID in the Amazon ECS task definition
id: task-def
uses: aws-actions/amazon-ecs-render-task-definition@c804dfbdd57f713b6c079302a4c01db7017a36fc
with:
task-definition: ${{ env.ECS_TASK_DEFINITION }}
container-name: ${{ env.CONTAINER_NAME }}
image: ${{ steps.build-image.outputs.image }}
- name: Deploy Amazon ECS task definition
uses: aws-actions/amazon-ecs-deploy-task-definition@df9643053eda01f169e64a0e60233aacca83799a
with:
task-definition: ${{ steps.task-def.outputs.task-definition }}
service: ${{ env.ECS_SERVICE }}
cluster: ${{ env.ECS_CLUSTER }}
wait-for-service-stability: true
- set this to your preferred AWS region, e.g. us-west-1
- set this to your Amazon ECR repository name
- set this to your Amazon ECS service name
- set this to your Amazon ECS cluster name
- set this to the path to your Amazon ECS task definition file, e.g. .aws/task-definition.json
- set this to the name of the container in the containerDefinitions section of your task definition
deploy docker to azure¶
- workflow example
name: Build and deploy a container to an Azure Web App
env:
AZURE_WEBAPP_NAME: MY_WEBAPP_NAME # (1)
on:
push:
branches:
- main
permissions:
contents: 'read'
packages: 'write'
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v5
- name: Set up Docker Buildx
uses: docker/setup-buildx-action@7a8b9c0d1e2f3a4b5c6d7e8f9a0b1c2d3e4f5a6b
- name: Log in to GitHub container registry
uses: docker/login-action@8c9d0e1f2a3b4c5d6e7f8a9b0c1d2e3f4a5b6c7d
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Lowercase the repo name
run: echo "REPO=${GITHUB_REPOSITORY,,}" >>${GITHUB_ENV}
- name: Build and push container image to registry
uses: docker/build-push-action@9e0f1a2b3c4d5e6f7a8b9c0d1e2f3a4b5c6d7e8f
with:
push: true
tags: ghcr.io/${{ env.REPO }}:${{ github.sha }}
file: ./Dockerfile
deploy:
runs-on: ubuntu-latest
needs: build
environment:
name: 'production'
url: ${{ steps.deploy-to-webapp.outputs.webapp-url }}
steps:
- name: Lowercase the repo name
run: echo "REPO=${GITHUB_REPOSITORY,,}" >>${GITHUB_ENV}
- name: Deploy to Azure Web App
id: deploy-to-webapp
uses: azure/webapps-deploy@85270a1854658d167ab239bce43949edb336fa7c
with:
app-name: ${{ env.AZURE_WEBAPP_NAME }}
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
images: 'ghcr.io/${{ env.REPO }}:${{ github.sha }}'
- set this to your application's name
Practical example¶
Learn more¶
Etc.¶
self learning github action : learning lab