Testing Partner Toggle, Synced with Main (#1083)

* Secure workflows (#1) (#1072)

* Restrict permissions for the GITHUB_TOKEN in .github/workflows/label-feature.yml

* Restrict permissions for the GITHUB_TOKEN in .github/workflows/label-support.yml

* Restrict permissions for the GITHUB_TOKEN in .github/workflows/stale.yml

* Restrict permissions for the GITHUB_TOKEN in .github/workflows/sync_ghes.yaml

* Restrict permissions for the GITHUB_TOKEN in .github/workflows/validate-data.yaml

Co-authored-by: Step Security <[email protected]>

Co-authored-by: step-security[bot] <89328102+step-security[bot]@users.noreply.github.com>
Co-authored-by: Step Security <[email protected]>

* Directory for deployments (#1071)

* moving deployment templates

* including deployment directory in scripts

* validate categories script init

* introducing scout

* introducing workflow

* Update validate-categories.yaml

* Update validate-categories.yaml

* Update validate-categories.yaml

* Update validate.rb

* Update validate.rb

* Update validate.rb

* Update validate.rb

* Update validate-categories.yaml

* Update validate-categories.yaml

* Update validate-categories.yaml

* Update validate.rb

* Update validate-categories.yaml

* Update validate-categories.yaml

* Create test_comment.yaml

* rename

* using [enter]

* testing newline

* test

* setting up variable

* using echo -e

* using join

* testing space space new line

* setting multi line in echo

* removing checkout

* setting rows-generator

* fixing error

* using join

* commit

* Update test_comment.yaml

* escaping pipe

* printing debug line

* using %0A

* Update validate-categories.yaml

* Update validate.rb

* Update validate.rb

* removing debug

* removing variable

* Update validate.rb

* Update validate-categories.yaml

* Validate categories comment on pr (#32)

* reverting deployment directory

* checking for output

* Categories validation two workflows (#34)

comment on pr in a separate workflow

* Categories validation two workflows (#35)

using right dir name

* Categories validation two workflows (#36)

.

* Categories validation two workflows (#37)

fixing typo

* adding if conditions

* adding try catch

* using console instead of echo

* equating to upstream

* moving deployment templates

* add codeql workflow to ghes

* restoring from main (#1078)

* Revert "add codeql workflow to ghes branch"

* add codeql workflow to ghes

* only run ghes sync checks on YML files

* only check nwo of supported actions

* Testing Partner Toggle.

Co-authored-by: Varun Sharma <[email protected]>
Co-authored-by: step-security[bot] <89328102+step-security[bot]@users.noreply.github.com>
Co-authored-by: Step Security <[email protected]>
Co-authored-by: Aparna Ravindra <[email protected]>
Co-authored-by: Nick Fyson <[email protected]>
This commit is contained in:
Ashwin Sangem
2021-09-09 08:35:04 +05:30
committed by GitHub
co-authored by Step Security step-security[bot] <89328102+step-security[bot]@users.noreply.github.com> Varun Sharma step-security[bot] <89328102+step-security[bot]@users.noreply.github.com> Aparna Ravindra Nick Fyson
parent ea5c3f66f6
commit 44278596c1
26 changed files with 61 additions and 7 deletions
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# This workflow will build and push a new container image to Alibaba Cloud Container Registry (ACR),
# and then will deploy it to Alibaba Cloud Container Service for Kubernetes (ACK), when a release is created.
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ACR repository to store your container images.
# You can use ACR EE instance for more security and better performance.
# For instructions see https://www.alibabacloud.com/help/doc-detail/142168.htm
#
# 2. Create an ACK cluster to run your containerized application.
# You can use ACK Pro cluster for more security and better performance.
# For instructions see https://www.alibabacloud.com/help/doc-detail/95108.htm
#
# 3. Store your AccessKey pair in GitHub Actions secrets named `ACCESS_KEY_ID` and `ACCESS_KEY_SECRET`.
# For instructions on setting up secrets see: https://developer.github.com/actions/managing-workflows/storing-secrets/
#
# 4. Change the values for the REGION_ID, REGISTRY, NAMESPACE, IMAGE, ACK_CLUSTER_ID, and ACK_DEPLOYMENT_NAME.
#
name: Build and Deploy to ACK
on:
release:
types: [created]
# Environment variables available to all jobs and steps in this workflow.
env:
REGION_ID: cn-hangzhou
REGISTRY: registry.cn-hangzhou.aliyuncs.com
NAMESPACE: namespace
IMAGE: repo
TAG: ${{ github.sha }}
ACK_CLUSTER_ID: clusterID
ACK_DEPLOYMENT_NAME: nginx-deployment
ACR_EE_REGISTRY: myregistry.cn-hangzhou.cr.aliyuncs.com
ACR_EE_INSTANCE_ID: instanceID
ACR_EE_NAMESPACE: namespace
ACR_EE_IMAGE: repo
ACR_EE_TAG: ${{ github.sha }}
jobs:
build:
runs-on: ubuntu-latest
environment: production
steps:
- name: Checkout
uses: actions/checkout@v2
# 1.1 Login to ACR
- name: Login to ACR with the AccessKey pair
uses: aliyun/acr-login@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
# 1.2 Buid and push image to ACR
- name: Build and push image to ACR
run: |
docker build --tag "$REGISTRY/$NAMESPACE/$IMAGE:$TAG" .
docker push "$REGISTRY/$NAMESPACE/$IMAGE:$TAG"
# 1.3 Scan image in ACR
- name: Scan image in ACR
uses: aliyun/acr-scan@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
repository: "${{ env.NAMESPACE }}/${{ env.IMAGE }}"
tag: "${{ env.TAG }}"
# 2.1 (Optional) Login to ACR EE
- uses: actions/checkout@v2
- name: Login to ACR EE with the AccessKey pair
uses: aliyun/acr-login@v1
with:
login-server: "https://${{ env.ACR_EE_REGISTRY }}"
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
# 2.2 (Optional) Build and push image ACR EE
- name: Build and push image to ACR EE
run: |
docker build -t "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG" .
docker push "$ACR_EE_REGISTRY/$ACR_EE_NAMESPACE/$ACR_EE_IMAGE:$TAG"
# 2.3 (Optional) Scan image in ACR EE
- name: Scan image in ACR EE
uses: aliyun/acr-scan@v1
with:
region-id: "${{ env.REGION_ID }}"
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
instance-id: "${{ env.ACR_EE_INSTANCE_ID }}"
repository: "${{ env.ACR_EE_NAMESPACE}}/${{ env.ACR_EE_IMAGE }}"
tag: "${{ env.ACR_EE_TAG }}"
# 3.1 Set ACK context
- name: Set K8s context
uses: aliyun/ack-set-context@v1
with:
access-key-id: "${{ secrets.ACCESS_KEY_ID }}"
access-key-secret: "${{ secrets.ACCESS_KEY_SECRET }}"
cluster-id: "${{ env.ACK_CLUSTER_ID }}"
# 3.2 Deploy the image to the ACK cluster
- name: Set up Kustomize
run: |-
curl -s "https://raw.githubusercontent.com/kubernetes-sigs/kustomize/master/hack/install_kustomize.sh" | bash /dev/stdin 3.8.6
- name: Deploy
run: |-
./kustomize edit set image REGISTRY/NAMESPACE/IMAGE:TAG=$REGISTRY/$NAMESPACE/$IMAGE:$TAG
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/$ACK_DEPLOYMENT_NAME
kubectl get services -o wide
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# This workflow will build and push a new container image to Amazon ECR,
# and then will deploy a new task definition to Amazon ECS, when a release is created
#
# To use this workflow, you will need to complete the following set-up steps:
#
# 1. Create an ECR repository to store your images.
# For example: `aws ecr create-repository --repository-name my-ecr-repo --region us-east-2`.
# Replace the value of `ECR_REPOSITORY` in the workflow below with your repository's name.
# Replace the value of `aws-region` in the workflow below with your repository's region.
#
# 2. Create an ECS task definition, an ECS cluster, and an ECS service.
# For example, follow the Getting Started guide on the ECS console:
# https://us-east-2.console.aws.amazon.com/ecs/home?region=us-east-2#/firstRun
# Replace the values for `service` and `cluster` in the workflow below with your service and cluster names.
#
# 3. Store your ECS task definition as a JSON file in your repository.
# The format should follow the output of `aws ecs register-task-definition --generate-cli-skeleton`.
# Replace the value of `task-definition` in the workflow below with your JSON file's name.
# Replace the value of `container-name` in the workflow below with the name of the container
# in the `containerDefinitions` section of the task definition.
#
# 4. Store an IAM user access key in GitHub Actions secrets named `AWS_ACCESS_KEY_ID` and `AWS_SECRET_ACCESS_KEY`.
# See the documentation for each action used below for the recommended IAM policies for this IAM user,
# and best practices on handling the access key credentials.
on:
release:
types: [created]
name: Deploy to Amazon ECS
jobs:
deploy:
name: Deploy
runs-on: ubuntu-latest
environment: production
steps:
- name: Checkout
uses: actions/checkout@v2
- 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: us-east-2
- name: Login to Amazon ECR
id: login-ecr
uses: aws-actions/amazon-ecr-login@v1
- name: Build, tag, and push image to Amazon ECR
id: build-image
env:
ECR_REGISTRY: ${{ steps.login-ecr.outputs.registry }}
ECR_REPOSITORY: my-ecr-repo
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:$IMAGE_TAG
echo "::set-output name=image::$ECR_REGISTRY/$ECR_REPOSITORY:$IMAGE_TAG"
- name: Fill in the new image ID in the Amazon ECS task definition
id: task-def
uses: aws-actions/amazon-ecs-render-task-definition@v1
with:
task-definition: task-definition.json
container-name: sample-app
image: ${{ steps.build-image.outputs.image }}
- name: Deploy Amazon ECS task definition
uses: aws-actions/amazon-ecs-deploy-task-definition@v1
with:
task-definition: ${{ steps.task-def.outputs.task-definition }}
service: sample-app-service
cluster: default
wait-for-service-stability: true
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# This workflow will build and push a node.js application to an Azure Web App when a release is created.
#
# This workflow assumes you have already created the target Azure App Service web app.
# For instructions see https://docs.microsoft.com/azure/app-service/app-service-plan-manage#create-an-app-service-plan
#
# To configure this workflow:
#
# 1. For Linux apps, add an app setting called WEBSITE_WEBDEPLOY_USE_SCM and set it to true in your app **before downloading the file**.
# For more instructions see: https://docs.microsoft.com/azure/app-service/configure-common#configure-app-settings
#
# 2. Set up a secret in your repository named AZURE_WEBAPP_PUBLISH_PROFILE with the value of your Azure publish profile.
# For instructions on obtaining the publish profile see: https://docs.microsoft.com/azure/app-service/deploy-github-actions#configure-the-github-secret
#
# 3. Change the values for the AZURE_WEBAPP_NAME, AZURE_WEBAPP_PACKAGE_PATH and NODE_VERSION environment variables (below).
#
# For more information on GitHub Actions for Azure, refer to https://github.com/Azure/Actions
# For more samples to get started with GitHub Action workflows to deploy to Azure, refer to https://github.com/Azure/actions-workflow-samples
on:
release:
types: [created]
env:
AZURE_WEBAPP_NAME: your-app-name # set this to your application's name
AZURE_WEBAPP_PACKAGE_PATH: '.' # set this to the path to your web app project, defaults to the repository root
NODE_VERSION: '10.x' # set this to the node version to use
jobs:
build-and-deploy:
name: Build and Deploy
runs-on: ubuntu-latest
environment: production
steps:
- uses: actions/checkout@v2
- name: Use Node.js ${{ env.NODE_VERSION }}
uses: actions/setup-node@v2
with:
node-version: ${{ env.NODE_VERSION }}
- name: npm install, build, and test
run: |
# Build and test the project, then
# deploy to Azure Web App.
npm install
npm run build --if-present
npm run test --if-present
- name: 'Deploy to Azure WebApp'
uses: azure/webapps-deploy@v2
with:
app-name: ${{ env.AZURE_WEBAPP_NAME }}
publish-profile: ${{ secrets.AZURE_WEBAPP_PUBLISH_PROFILE }}
package: ${{ env.AZURE_WEBAPP_PACKAGE_PATH }}
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# This workflow will build a docker container, publish it to Google Container Registry, and deploy it to GKE when a release is created
#
# To configure this workflow:
#
# 1. Ensure that your repository contains the necessary configuration for your Google Kubernetes Engine cluster, including deployment.yml, kustomization.yml, service.yml, etc.
#
# 2. Set up secrets in your workspace: GKE_PROJECT with the name of the project and GKE_SA_KEY with the Base64 encoded JSON service account key (https://github.com/GoogleCloudPlatform/github-actions/tree/docs/service-account-key/setup-gcloud#inputs).
#
# 3. Change the values for the GKE_ZONE, GKE_CLUSTER, IMAGE, and DEPLOYMENT_NAME environment variables (below).
#
# For more support on how to run the workflow, please visit https://github.com/google-github-actions/setup-gcloud/tree/master/example-workflows/gke
name: Build and Deploy to GKE
on:
release:
types: [created]
env:
PROJECT_ID: ${{ secrets.GKE_PROJECT }}
GKE_CLUSTER: cluster-1 # TODO: update to cluster name
GKE_ZONE: us-central1-c # TODO: update to cluster zone
DEPLOYMENT_NAME: gke-test # TODO: update to deployment name
IMAGE: static-site
jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
environment: production
steps:
- name: Checkout
uses: actions/checkout@v2
# Setup gcloud CLI
- uses: google-github-actions/[email protected]
with:
service_account_key: ${{ secrets.GKE_SA_KEY }}
project_id: ${{ secrets.GKE_PROJECT }}
# Configure Docker to use the gcloud command-line tool as a credential
# helper for authentication
- run: |-
gcloud --quiet auth configure-docker
# Get the GKE credentials so we can deploy to the cluster
- uses: google-github-actions/[email protected]
with:
cluster_name: ${{ env.GKE_CLUSTER }}
location: ${{ env.GKE_ZONE }}
credentials: ${{ secrets.GKE_SA_KEY }}
# Build the Docker image
- name: Build
run: |-
docker build \
--tag "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA" \
--build-arg GITHUB_SHA="$GITHUB_SHA" \
--build-arg GITHUB_REF="$GITHUB_REF" \
.
# Push the Docker image to Google Container Registry
- name: Publish
run: |-
docker push "gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA"
# Set up kustomize
- name: Set up Kustomize
run: |-
curl -sfLo kustomize https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64
chmod u+x ./kustomize
# Deploy the Docker image to the GKE cluster
- name: Deploy
run: |-
./kustomize edit set image gcr.io/PROJECT_ID/IMAGE:TAG=gcr.io/$PROJECT_ID/$IMAGE:$GITHUB_SHA
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/$DEPLOYMENT_NAME
kubectl get services -o wide
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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: ${{ secrets.ICR_NAMESPACE }}
REGISTRY_HOSTNAME: us.icr.io
IMAGE_NAME: iks-test
IKS_CLUSTER: example-iks-cluster-name-or-id
DEPLOYMENT_NAME: iks-test
PORT: 5001
jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
environment: production
steps:
- name: Checkout
uses: actions/checkout@v2
# Download and Install IBM Cloud CLI
- name: Install IBM Cloud CLI
run: |
curl -fsSL https://clis.cloud.ibm.com/install/linux | sh
ibmcloud --version
ibmcloud config --check-version=false
ibmcloud plugin install -f kubernetes-service
ibmcloud plugin install -f container-registry
# Authenticate with IBM Cloud CLI
- name: Authenticate with IBM Cloud CLI
run: |
ibmcloud login --apikey "${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
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# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
### The OpenShift Starter workflow will:
# - Checkout your repository
# - Perform a Docker build
# - Push the built image to an image registry
# - Log in to your OpenShift cluster
# - Create an OpenShift app from the image and expose it to the internet.
### Before you begin:
# - Have write access to a container image registry such as quay.io or Dockerhub.
# - Have access to an OpenShift cluster.
# - For instructions to get started with OpenShift see https://www.openshift.com/try
# - The project you wish to add this workflow to should have a Dockerfile.
# - If you don't have a Dockerfile at the repository root, see the buildah-build step.
# - Builds from scratch are also available, but require more configuration.
### To get the workflow running:
# 1. Add this workflow to your repository.
# 2. Edit the top-level 'env' section, which contains a list of environment variables that must be configured.
# 3. Create the secrets referenced in the 'env' section under your repository Settings.
# 4. Edit the 'branches' in the 'on' section to trigger the workflow on a push to your branch.
# 5. Commit and push your changes.
# For a more sophisticated example, see https://github.com/redhat-actions/spring-petclinic/blob/main/.github/workflows/petclinic-sample.yaml
# Also see our GitHub organization, https://github.com/redhat-actions/
# ▶️ See a video of how to set up this workflow at https://www.youtube.com/watch?v=6hgBO-1pKho
name: OpenShift
# ⬇️ Modify the fields marked with ⬇️ to fit your project, and create any secrets that are referenced.
# https://docs.github.com/en/free-pro-team@latest/actions/reference/encrypted-secrets
env:
# ⬇️ EDIT with your registry and registry path.
REGISTRY: quay.io/<username>
# ⬇️ EDIT with your registry username.
REGISTRY_USER: <username>
REGISTRY_PASSWORD: ${{ secrets.REGISTRY_PASSWORD }}
# ⬇️ EDIT to log into your OpenShift cluster and set up the context.
# See https://github.com/redhat-actions/oc-login#readme for how to retrieve these values.
OPENSHIFT_SERVER: ${{ secrets.OPENSHIFT_SERVER }}
OPENSHIFT_TOKEN: ${{ secrets.OPENSHIFT_TOKEN }}
# ⬇️ EDIT with any additional port your application should expose.
# By default, oc new-app action creates a service to the image's lowest numeric exposed port.
APP_PORT: ""
# ⬇️ EDIT if you wish to set the kube context's namespace after login. Leave blank to use the default namespace.
OPENSHIFT_NAMESPACE: ""
# If you wish to manually provide the APP_NAME and TAG, set them here, otherwise they will be auto-detected.
APP_NAME: ""
TAG: ""
on:
# https://docs.github.com/en/free-pro-team@latest/actions/reference/events-that-trigger-workflows
push:
# Edit to the branch(es) you want to build and deploy on each push.
branches: [ $default-branch ]
jobs:
openshift-ci-cd:
name: Build and deploy to OpenShift
runs-on: ubuntu-18.04
environment: production
outputs:
ROUTE: ${{ steps.deploy-and-expose.outputs.route }}
SELECTOR: ${{ steps.deploy-and-expose.outputs.selector }}
steps:
- name: Check if secrets exists
uses: actions/github-script@v3
with:
script: |
const secrets = {
REGISTRY_PASSWORD: `${{ secrets.REGISTRY_PASSWORD }}`,
OPENSHIFT_SERVER: `${{ secrets.OPENSHIFT_SERVER }}`,
OPENSHIFT_TOKEN: `${{ secrets.OPENSHIFT_TOKEN }}`,
};
const missingSecrets = Object.entries(secrets).filter(([ name, value ]) => {
if (value.length === 0) {
core.warning(`Secret "${name}" is not set`);
return true;
}
core.info(`✔️ Secret "${name}" is set`);
return false;
});
if (missingSecrets.length > 0) {
core.setFailed(`❌ At least one required secret is not set in the repository. \n` +
"You can add it using:\n" +
"GitHub UI: https://docs.github.com/en/actions/reference/encrypted-secrets#creating-encrypted-secrets-for-a-repository \n" +
"GitHub CLI: https://cli.github.com/manual/gh_secret_set \n" +
"Also, refer to https://github.com/redhat-actions/oc-login#getting-started-with-the-action-or-see-example");
}
else {
core.info(`✅ All the required secrets are set`);
}
- uses: actions/checkout@v2
- name: Determine app name
if: env.APP_NAME == ''
run: |
echo "APP_NAME=$(basename $PWD)" | tee -a $GITHUB_ENV
- name: Determine tag
if: env.TAG == ''
run: |
echo "TAG=${GITHUB_SHA::7}" | tee -a $GITHUB_ENV
# https://github.com/redhat-actions/buildah-build#readme
- name: Build from Dockerfile
id: image-build
uses: redhat-actions/buildah-build@v2
with:
image: ${{ env.APP_NAME }}
tags: ${{ env.TAG }}
# If you don't have a dockerfile, see:
# https://github.com/redhat-actions/buildah-build#scratch-build-inputs
# Otherwise, point this to your Dockerfile relative to the repository root.
dockerfiles: |
./Dockerfile
# https://github.com/redhat-actions/push-to-registry#readme
- name: Push to registry
id: push-to-registry
uses: redhat-actions/push-to-registry@v2
with:
image: ${{ steps.image-build.outputs.image }}
tags: ${{ steps.image-build.outputs.tags }}
registry: ${{ env.REGISTRY }}
username: ${{ env.REGISTRY_USER }}
password: ${{ env.REGISTRY_PASSWORD }}
# The path the image was pushed to is now stored in ${{ steps.push-to-registry.outputs.registry-path }}
# oc-login works on all platforms, but oc must be installed first.
# The GitHub Ubuntu runner already includes oc.
# Otherwise, https://github.com/redhat-actions/openshift-tools-installer can be used to install oc,
# as well as many other tools.
# https://github.com/redhat-actions/oc-login#readme
- name: Log in to OpenShift
uses: redhat-actions/oc-login@v1
with:
openshift_server_url: ${{ env.OPENSHIFT_SERVER }}
openshift_token: ${{ env.OPENSHIFT_TOKEN }}
insecure_skip_tls_verify: true
namespace: ${{ env.OPENSHIFT_NAMESPACE }}
# This step should create a deployment, service, and route to run your app and expose it to the internet.
# https://github.com/redhat-actions/oc-new-app#readme
- name: Create and expose app
id: deploy-and-expose
uses: redhat-actions/oc-new-app@v1
with:
app_name: ${{ env.APP_NAME }}
image: ${{ steps.push-to-registry.outputs.registry-path }}
namespace: ${{ env.OPENSHIFT_NAMESPACE }}
port: ${{ env.APP_PORT }}
- name: View application route
run: |
[[ -n ${{ env.ROUTE }} ]] || (echo "Determining application route failed in previous step"; exit 1)
echo "======================== Your application is available at: ========================"
echo ${{ env.ROUTE }}
echo "==================================================================================="
echo
echo "Your app can be taken down with: \"oc delete all --selector='${{ env.SELECTOR }}'\""
env:
ROUTE: ${{ steps.deploy-and-expose.outputs.route }}
SELECTOR: ${{ steps.deploy-and-expose.outputs.selector }}
@@ -1,7 +0,0 @@
{
"name": "Deploy to Alibaba Cloud ACK",
"description": "Deploy a container to Alibaba Cloud Container Service for Kubernetes (ACK).",
"creator": "Alibaba Cloud",
"iconName": "alibabacloud",
"categories": ["Deployment"]
}
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@@ -1,7 +0,0 @@
{
"name": "Deploy to Amazon ECS",
"description": "Deploy a container to an Amazon ECS service powered by AWS Fargate or Amazon EC2.",
"creator": "Amazon Web Services",
"iconName": "aws",
"categories": ["Deployment"]
}
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@@ -1,7 +0,0 @@
{
"name": "Deploy Node.js to Azure Web App",
"description": "Build a Node.js project and deploy it to an Azure Web App.",
"creator": "Microsoft Azure",
"iconName": "azure",
"categories": ["Deployment"]
}
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@@ -1,7 +0,0 @@
{
"name": "Build and Deploy to GKE",
"description": "Build a docker container, publish it to Google Container Registry, and deploy to GKE.",
"creator": "Google Cloud",
"iconName": "googlegke",
"categories": ["Deployment"]
}
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@@ -1,7 +0,0 @@
{
"name": "Deploy to IBM Cloud Kubernetes Service",
"description": "Build a docker container, publish it to IBM Cloud Container Registry, and deploy to IBM Cloud Kubernetes Service.",
"creator": "IBM",
"iconName": "ibm",
"categories": ["Deployment"]
}
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@@ -1,7 +0,0 @@
{
"name": "OpenShift",
"description": "Build a Docker-based project and deploy it to OpenShift.",
"creator": "Red Hat",
"iconName": "openshift",
"categories": ["Dockerfile","Deployment" ]
}
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@@ -0,0 +1,6 @@
{
"name": "Rails - Build and Run Linters",
"description": "Build Rails application and run linters",
"iconName": "ruby",
"categories": ["Ruby", "Rails"]
}
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@@ -1,7 +0,0 @@
{
"name": "Tencent Kubernetes Engine",
"description": "This workflow will build a docker container, publish and deploy it to Tencent Kubernetes Engine (TKE).",
"creator": "Tencent Cloud",
"iconName": "tencentcloud",
"categories": ["Deployment"]
}
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@@ -1,7 +0,0 @@
{
"name": "Terraform",
"description": "Set up Terraform CLI in your GitHub Actions workflow.",
"creator": "HashiCorp",
"iconName": "terraform",
"categories": ["Deployment"]
}
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@@ -0,0 +1,32 @@
# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
# This workflow will download a prebuilt Ruby version, install dependencies, and run linters
name: Build Rails and run linters
on:
push:
branches: [ $default-branch ]
pull_request:
branches: [ $default-branch ]
jobs:
run-lint:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v2
- name: Setup Ruby and install gems
uses: ruby/setup-ruby@v1
with:
bundler-cache: true
# Add or Replace any other security checks here
- name: Run security checks
run: |
bin/bundler-audit --update
bin/brakeman -q -w2
# Add or Replace any other Linters here
- name: Run linters
run: |
bin/rubocop --parallel
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@@ -1,76 +0,0 @@
# This workflow will build a docker container, publish and deploy it to Tencent Kubernetes Engine (TKE).
#
# To configure this workflow:
#
# 1. Ensure that your repository contains the necessary configuration for your Tencent Kubernetes Engine cluster,
# including deployment.yml, kustomization.yml, service.yml, etc.
#
# 2. Set up secrets in your workspace:
# - TENCENT_CLOUD_SECRET_ID with Tencent Cloud secret id
# - TENCENT_CLOUD_SECRET_KEY with Tencent Cloud secret key
# - TENCENT_CLOUD_ACCOUNT_ID with Tencent Cloud account id
# - TKE_REGISTRY_PASSWORD with TKE registry password
#
# 3. Change the values for the TKE_IMAGE_URL, TKE_REGION, TKE_CLUSTER_ID and DEPLOYMENT_NAME environment variables (below).
name: Tencent Kubernetes Engine
on:
release:
types: [created]
# Environment variables available to all jobs and steps in this workflow
env:
TKE_IMAGE_URL: ccr.ccs.tencentyun.com/demo/mywebapp
TKE_REGION: ap-guangzhou
TKE_CLUSTER_ID: cls-mywebapp
DEPLOYMENT_NAME: tke-test
jobs:
setup-build-publish-deploy:
name: Setup, Build, Publish, and Deploy
runs-on: ubuntu-latest
environment: production
steps:
- name: Checkout
uses: actions/checkout@v2
# Build
- name: Build Docker image
run: |
docker build -t ${TKE_IMAGE_URL}:${GITHUB_SHA} .
- name: Login TKE Registry
run: |
docker login -u ${{ secrets.TENCENT_CLOUD_ACCOUNT_ID }} -p '${{ secrets.TKE_REGISTRY_PASSWORD }}' ${TKE_IMAGE_URL}
# Push the Docker image to TKE Registry
- name: Publish
run: |
docker push ${TKE_IMAGE_URL}:${GITHUB_SHA}
- name: Set up Kustomize
run: |
curl -o kustomize --location https://github.com/kubernetes-sigs/kustomize/releases/download/v3.1.0/kustomize_3.1.0_linux_amd64
chmod u+x ./kustomize
- name: Set up ~/.kube/config for connecting TKE cluster
uses: TencentCloud/tke-cluster-credential-action@v1
with:
secret_id: ${{ secrets.TENCENT_CLOUD_SECRET_ID }}
secret_key: ${{ secrets.TENCENT_CLOUD_SECRET_KEY }}
tke_region: ${{ env.TKE_REGION }}
cluster_id: ${{ env.TKE_CLUSTER_ID }}
- name: Switch to TKE context
run: |
kubectl config use-context ${TKE_CLUSTER_ID}-context-default
# Deploy the Docker image to the TKE cluster
- name: Deploy
run: |
./kustomize edit set image ${TKE_IMAGE_URL}:${GITHUB_SHA}
./kustomize build . | kubectl apply -f -
kubectl rollout status deployment/${DEPLOYMENT_NAME}
kubectl get services -o wide
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@@ -1,91 +0,0 @@
# 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 $default-branch 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:
- $default-branch
pull_request:
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@v2
# 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
# On push to $default-branch, build or change infrastructure according to Terraform configuration files
# Note: It is recommended to set up a required "strict" status check in your repository for "Terraform Cloud". See the documentation on "strict" required status checks for more information: https://help.github.com/en/github/administering-a-repository/types-of-required-status-checks
- name: Terraform Apply
if: github.ref == 'refs/heads/$default-branch' && github.event_name == 'push'
run: terraform apply -auto-approve