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31 changes: 31 additions & 0 deletions .circleci/config.yml
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# Use the latest 2.1 version of CircleCI pipeline process engine.
# See: https://circleci.com/docs/configuration-reference
version: 2.1

# Define a job to be invoked later in a workflow.
# See: https://circleci.com/docs/jobs-steps/#jobs-overview & https://circleci.com/docs/configuration-reference/#jobs
jobs:
say-hello:
# Specify the execution environment. You can specify an image from Docker Hub or use one of our convenience images from CircleCI's Developer Hub.
# See: https://circleci.com/docs/executor-intro/ & https://circleci.com/docs/configuration-reference/#executor-job
docker:
# Specify the version you desire here
# See: https://circleci.com/developer/images/image/cimg/base
- image: cimg/base:current

# Add steps to the job
# See: https://circleci.com/docs/jobs-steps/#steps-overview & https://circleci.com/docs/configuration-reference/#steps
steps:
# Checkout the code as the first step.
- checkout
- run:
name: "Say hello"
command: "echo Hello, World!"

# Orchestrate jobs using workflows
# See: https://circleci.com/docs/workflows/ & https://circleci.com/docs/configuration-reference/#workflows
workflows:
say-hello-workflow: # This is the name of the workflow, feel free to change it to better match your workflow.
# Inside the workflow, you define the jobs you want to run.
jobs:
- say-hello
116 changes: 116 additions & 0 deletions .github/workflows/google.yml
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# This workflow will build a docker container, publish it to Google Container
# Registry, and deploy it to GKE when there is a push to the "main"
# branch.
#
# To configure this workflow:
#
# 1. Enable the following Google Cloud APIs:
#
# - Artifact Registry (artifactregistry.googleapis.com)
# - Google Kubernetes Engine (container.googleapis.com)
# - IAM Credentials API (iamcredentials.googleapis.com)
#
# You can learn more about enabling APIs at
# https://support.google.com/googleapi/answer/6158841.
#
# 2. Ensure that your repository contains the necessary configuration for your
# Google Kubernetes Engine cluster, including deployment.yml,
# kustomization.yml, service.yml, etc.
#
# 3. Create and configure a Workload Identity Provider for GitHub:
# https://github.com/google-github-actions/auth#preferred-direct-workload-identity-federation.
#
# Depending on how you authenticate, you will need to grant an IAM principal
# permissions on Google Cloud:
#
# - Artifact Registry Administrator (roles/artifactregistry.admin)
# - Kubernetes Engine Developer (roles/container.developer)
#
# You can learn more about setting IAM permissions at
# https://cloud.google.com/iam/docs/manage-access-other-resources
#
# 5. Change the values in the "env" block to match your values.

name: 'Build and Deploy to GKE'

on:
push:
branches:
- '"main"'

env:
PROJECT_ID: 'my-project' # TODO: update to your Google Cloud project ID
GAR_LOCATION: 'us-central1' # TODO: update to your region
GKE_CLUSTER: 'cluster-1' # TODO: update to your cluster name
GKE_ZONE: 'us-central1-c' # TODO: update to your cluster zone
DEPLOYMENT_NAME: 'gke-test' # TODO: update to your deployment name
REPOSITORY: 'samples' # TODO: update to your Artifact Registry docker repository name
IMAGE: 'static-site'
WORKLOAD_IDENTITY_PROVIDER: 'projects/123456789/locations/global/workloadIdentityPools/my-pool/providers/my-provider' # TODO: update to your workload identity provider

jobs:
setup-build-publish-deploy:
name: 'Setup, Build, Publish, and Deploy'
runs-on: 'ubuntu-latest'
environment: 'production'

permissions:
contents: 'read'
id-token: 'write'

steps:
- name: 'Checkout'
uses: 'actions/checkout@692973e3d937129bcbf40652eb9f2f61becf3332' # actions/checkout@v4

# Configure Workload Identity Federation and generate an access token.
#
# See https://github.com/google-github-actions/auth for more options,
# including authenticating via a JSON credentials file.
- id: 'auth'
name: 'Authenticate to Google Cloud'
uses: 'google-github-actions/auth@f112390a2df9932162083945e46d439060d66ec2' # google-github-actions/auth@v2
with:
workload_identity_provider: '${{ env.WORKLOAD_IDENTITY_PROVIDER }}'

# Authenticate Docker to Google Cloud Artifact Registry
- name: 'Docker Auth'
uses: 'docker/login-action@9780b0c442fbb1117ed29e0efdff1e18412f7567' # docker/login-action@v3
with:
username: 'oauth2accesstoken'
password: '${{ steps.auth.outputs.auth_token }}'
registry: '${{ env.GAR_LOCATION }}-docker.pkg.dev'

# Get the GKE credentials so we can deploy to the cluster
- name: 'Set up GKE credentials'
uses: 'google-github-actions/get-gke-credentials@6051de21ad50fbb1767bc93c11357a49082ad116' # google-github-actions/get-gke-credentials@v2
with:
cluster_name: '${{ env.GKE_CLUSTER }}'
location: '${{ env.GKE_ZONE }}'

# Build the Docker image
- name: 'Build and push Docker container'
run: |-
DOCKER_TAG="${GAR_LOCATION}-docker.pkg.dev/${PROJECT_ID}/${REPOSITORY}/${IMAGE}:${GITHUB_SHA}"
docker build \
--tag "${DOCKER_TAG}" \
--build-arg GITHUB_SHA="${GITHUB_SHA}" \
--build-arg GITHUB_REF="${GITHUB_REF}" \
.
docker push "${DOCKER_TAG}"
# Set up kustomize
- name: 'Set up Kustomize'
run: |-
curl -sfLo kustomize https://github.com/kubernetes-sigs/kustomize/releases/download/kustomize%2Fv5.4.3/kustomize_v5.4.3_linux_amd64.tar.gz
chmod u+x ./kustomize
# Deploy the Docker image to the GKE cluster
- name: 'Deploy to GKE'
run: |-
# replacing the image name in the k8s template
./kustomize edit set image LOCATION-docker.pkg.dev/PROJECT_ID/REPOSITORY/IMAGE:TAG=$GAR_LOCATION-docker.pkg.dev/$PROJECT_ID/$REPOSITORY/$IMAGE:$GITHUB_SHA
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/$DEPLOYMENT_NAME
kubectl get services -o wide
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