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TerraSJFlet #28580

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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
93 changes: 93 additions & 0 deletions .github/workflows/terraform.yml
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# This workflow installs the latest version of Terraform CLI and configures the Terraform CLI configuration file
# with an API token for Terraform Cloud (app.terraform.io). On pull request events, this workflow will run
# `terraform init`, `terraform fmt`, and `terraform plan` (speculative plan via Terraform Cloud). On push events
# to the "main" branch, `terraform apply` will be executed.
#
# Documentation for `hashicorp/setup-terraform` is located here: https://github.com/hashicorp/setup-terraform
#
# To use this workflow, you will need to complete the following setup steps.
#
# 1. Create a `main.tf` file in the root of this repository with the `remote` backend and one or more resources defined.
# Example `main.tf`:
# # The configuration for the `remote` backend.
# terraform {
# backend "remote" {
# # The name of your Terraform Cloud organization.
# organization = "example-organization"
#
# # The name of the Terraform Cloud workspace to store Terraform state files in.
# workspaces {
# name = "example-workspace"
# }
# }
# }
#
# # An example resource that does nothing.
# resource "null_resource" "example" {
# triggers = {
# value = "A example resource that does nothing!"
# }
# }
#
#
# 2. Generate a Terraform Cloud user API token and store it as a GitHub secret (e.g. TF_API_TOKEN) on this repository.
# Documentation:
# - https://www.terraform.io/docs/cloud/users-teams-organizations/api-tokens.html
# - https://help.github.com/en/actions/configuring-and-managing-workflows/creating-and-storing-encrypted-secrets
#
# 3. Reference the GitHub secret in step using the `hashicorp/setup-terraform` GitHub Action.
# Example:
# - name: Setup Terraform
# uses: hashicorp/setup-terraform@v1
# with:
# cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}

name: 'Terraform'

on:
push:
branches: [ "main" ]
pull_request:

permissions:
contents: read

jobs:
terraform:
name: 'Terraform'
runs-on: ubuntu-latest
environment: production

# Use the Bash shell regardless whether the GitHub Actions runner is ubuntu-latest, macos-latest, or windows-latest
defaults:
run:
shell: bash

steps:
# Checkout the repository to the GitHub Actions runner
- name: Checkout
uses: actions/checkout@v4

# Install the latest version of Terraform CLI and configure the Terraform CLI configuration file with a Terraform Cloud user API token
- name: Setup Terraform
uses: hashicorp/setup-terraform@v1
with:
cli_config_credentials_token: ${{ secrets.TF_API_TOKEN }}

# Initialize a new or existing Terraform working directory by creating initial files, loading any remote state, downloading modules, etc.
- name: Terraform Init
run: terraform init

# Checks that all Terraform configuration files adhere to a canonical format
- name: Terraform Format
run: terraform fmt -check

# Generates an execution plan for Terraform
- name: Terraform Plan
run: terraform plan -input=false

# On push to "main", build or change infrastructure according to Terraform configuration files
# Note: It is recommended to set up a required "strict" status check in your repository for "Terraform Cloud". See the documentation on "strict" required status checks for more information: https://help.github.com/en/github/administering-a-repository/types-of-required-status-checks
- name: Terraform Apply
if: github.ref == 'refs/heads/"main"' && github.event_name == 'push'
run: terraform apply -auto-approve -input=false
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