This project could be deployed using K8S. I configured two github actions to build and deploy from the master branch a docker image to Google Cloud Kubenetes engine.

Use these tools

• Gradle
• Kotlin
• JDK 8 ( 11 soon )

I installed Gcloud sdk by running the following commands

echo "deb [signed-by=/usr/share/keyrings/cloud.google.gpg] https://packages.cloud.google.com/apt cloud-sdk main" | sudo tee -a /etc/apt/sources.list.d/google-cloud-sdk.list
curl https://packages.cloud.google.com/apt/doc/apt-key.gpg | sudo apt-key --keyring /usr/share/keyrings/cloud.google.gpg add -
sudo apt-get update && sudo apt-get install google-cloud-sdk
sudo apt-get update
sudo apt-get dist-upgrade
sudo apt-get update && sudo apt-get install google-cloud-sdk

Then you could run this command to login

gcloud auth login

To get all the informations to configure gcloud (service account, iam, k8s cluster,...), you can follow the following resources:

• Google Cloud Github action
• Cloud springboot kubenetes codelab

You could install Kubectl by running the following commands:

echo "deb https://apt.kubernetes.io/ kubernetes-xenial main" | sudo tee -a /etc/apt/sources.list.d/kubernetes.list
sudo apt-get update
sudo apt-get install -y kubectl

You could get the kubectl credential in your local configuration by running this command:

gcloud container clusters get-credentials cluster-name

You have to create a K8S secret by running this command

kubectl create secret docker-registry github-registry --docker-server=docker.pkg.github.com --docker-username=USER--docker-password=PASSWORD --docker-email=EMAIL

By running the CD Github workflow, you can :

• Build a docker image and deploy it in github docker repository
• Deploy on Google Cloud Kubernetes Engine

In settings/secrets, you have to configure the following secrets:

create secret

kubectl apply -f ./k8s/db-configmap.yml kubectl apply -f ./k8s/db-statefulset.yml kubectl apply -f ./k8s/db-service.yml kubectl apply -f ./k8s/api-deployment.yml