K8S in AWS
Project created in Quarkus to deploy a rest server in aws cloud provider
The main objective of this project is understand some features of k8s and aws.
Technologies | How To Use | How To Contribute |
This project was developed with the following technologies:
To clone and run these configurations, you'll need Git, JDK 17, Docker, Kubectl and any tools that enables a development of a k8s locally, like minikube or kind.
From your command line:
# Clone this repository
$ git clone https://github.com/Duduxs/quarkus-k8s-aws
# Create a cluster 4 you
$ kind create cluster --name quarkus-k8s-aws
# Use your cluster
$ kubectl cluster-info --context quarkus-k8s-aws
# Create namespace and go to it
$ kubectl create namespace quarkus-k8s
$ kubectl config set-context --current --namespace=quarkus-k8s
# Deploy the loadbalancer, pods, replica set and containers in your cluster
$ kubectl apply -f devops/quarkus-k8s-aws-prd.yaml
# Do a port forward to access the load balancer and therefore be able to access the pods
$ kubectl port-forward svc/quarkus-k8s-aws 8080:8080
# Access your app
$ curl http://localhost:8080/api/test
- Make a fork;
- Create a branch with your feature:
git checkout -b my-feature; - Commit changes:
git commit -m 'feat: My new feature'; - Make a push to your branch:
git push origin my-feature.