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Add CI to vectorizing CU-86bvyavpu (#46) #37

Add CI to vectorizing CU-86bvyavpu (#46)

Add CI to vectorizing CU-86bvyavpu (#46) #37

Workflow file for this run

name: deploy
on:
push:
branches:
- production
- main
jobs:
publish-docker-image:
runs-on: ubuntu-latest
steps:
- name: Check out repository code
uses: actions/checkout@v2
- name: Login to GitHub Container Registry
uses: docker/login-action@v1
with:
registry: ghcr.io
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Configure AWS credentials
uses: aws-actions/configure-aws-credentials@v1
with:
aws-access-key-id: ${{ secrets.AWS_ACCESS_KEY_ID }}
aws-secret-access-key: ${{ secrets.AWS_SECRET_ACCESS_KEY }}
aws-region: eu-central-1
- name: Publish the Docker image
run: |
docker build . --tag ghcr.io/kittl/vectorizing:${{ github.ref_name }}
docker push ghcr.io/kittl/vectorizing:${{ github.ref_name }}
- name: Deploy vectorizing in staging cluster
uses: kodermax/kubectl-aws-eks@master
env:
KUBE_CONFIG_DATA: ${{ secrets.KUBE_CONFIG }}
if: github.ref_name == 'main'
with:
args: rollout restart deployment/vectorizing --context staging
- name: Deploy vectorizing in production cluster
uses: kodermax/kubectl-aws-eks@master
env:
KUBE_CONFIG_DATA: ${{ secrets.KUBE_CONFIG }}
if: github.ref_name == 'production'
with:
args: rollout restart deployment/vectorizing --context production