Create ibm.yml

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# This workflow will build a docker container, publish it to IBM Container Registry, and deploy it to IKS when a release is created
#
# To configure this workflow:
#
# 1. Ensure that your repository contains a Dockerfile
# 2. Setup secrets in your repository by going to settings: Create ICR_NAMESPACE and IBM_CLOUD_API_KEY
# 3. Change the values for the IBM_CLOUD_REGION, REGISTRY_HOSTNAME, IMAGE_NAME, IKS_CLUSTER, DEPLOYMENT_NAME, and PORT
name: Build and Deploy to IKS
on:
release:
types: [created]
# Environment variables available to all jobs and steps in this workflow
env:
GITHUB_SHA: ${{ github.sha }}
IBM_CLOUD_API_KEY: ${{ secrets.IBM_CLOUD_API_KEY }}
IBM_CLOUD_REGION: us-south
ICR_NAMESPACE: ${{ secrets.ICR_NAMESPACE }}
REGISTRY_HOSTNAME: us.icr.io
IMAGE_NAME: iks-test
IKS_CLUSTER: example-iks-cluster-name-or-id
DEPLOYMENT_NAME: iks-test
PORT: 5001
jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
steps:
- name: Checkout
uses: actions/checkout@v2
# Download and Install IBM Cloud CLI
- name: Install IBM Cloud CLI
run: |
curl -fsSL https://clis.cloud.ibm.com/install/linux | sh
ibmcloud --version
ibmcloud config --check-version=false
ibmcloud plugin install -f kubernetes-service
ibmcloud plugin install -f container-registry
# Authenticate with IBM Cloud CLI
- name: Authenticate with IBM Cloud CLI
run: |
ibmcloud login --apikey "${IBM_CLOUD_API_KEY}" -r "${IBM_CLOUD_REGION}" -g default
ibmcloud cr region-set "${IBM_CLOUD_REGION}"
ibmcloud cr login
# Build the Docker image
- name: Build with Docker
run: |
docker build -t "$REGISTRY_HOSTNAME"/"$ICR_NAMESPACE"/"$IMAGE_NAME":"$GITHUB_SHA" \
--build-arg GITHUB_SHA="$GITHUB_SHA" \
--build-arg GITHUB_REF="$GITHUB_REF" .
# Push the image to IBM Container Registry
- name: Push the image to ICR
run: |
docker push $REGISTRY_HOSTNAME/$ICR_NAMESPACE/$IMAGE_NAME:$GITHUB_SHA
# Deploy the Docker image to the IKS cluster
- name: Deploy to IKS
run: |
ibmcloud ks cluster config --cluster $IKS_CLUSTER
kubectl config current-context
kubectl create deployment $DEPLOYMENT_NAME --image=$REGISTRY_HOSTNAME/$ICR_NAMESPACE/$IMAGE_NAME:$GITHUB_SHA --dry-run -o yaml > deployment.yaml
kubectl apply -f deployment.yaml
kubectl rollout status deployment/$DEPLOYMENT_NAME
kubectl create service loadbalancer $DEPLOYMENT_NAME --tcp=80:$PORT --dry-run -o yaml > service.yaml
kubectl apply -f service.yaml
kubectl get services -o wide