content/guides/ruby/deploy.md
In this section, you'll learn how to use Docker Desktop to deploy your application to a fully-featured Kubernetes environment on your development machine. This lets you to test and debug your workloads on Kubernetes locally before deploying.
In your docker-ruby-on-rails directory, create a file named
docker-ruby-on-rails-kubernetes.yaml. Open the file in an IDE or text editor and add
the following contents. Replace DOCKER_USERNAME/REPO_NAME with your Docker
username and the name of the repository that you created in Configure CI/CD for
your Ruby on Rails application.
apiVersion: apps/v1
kind: Deployment
metadata:
name: docker-ruby-on-rails-demo
namespace: default
spec:
replicas: 1
selector:
matchLabels:
service: ruby-on-rails
template:
metadata:
labels:
service: ruby-on-rails
spec:
containers:
- name: ruby-on-rails-container
image: DOCKER_USERNAME/REPO_NAME
imagePullPolicy: Always
---
apiVersion: v1
kind: Service
metadata:
name: docker-ruby-on-rails-demo
namespace: default
spec:
type: NodePort
selector:
service: ruby-on-rails
ports:
- port: 3000
targetPort: 3000
nodePort: 30001
In this Kubernetes YAML file, there are two objects, separated by the ---:
template, has just one container in it. The
container is created from the image built by GitHub Actions in Configure CI/CD for
your Ruby on Rails application.To learn more about Kubernetes objects, see the Kubernetes documentation.
In a terminal, navigate to docker-ruby-on-rails and deploy your application to
Kubernetes.
$ kubectl apply -f docker-ruby-on-rails-kubernetes.yaml
You should see output that looks like the following, indicating your Kubernetes objects were created successfully.
deployment.apps/docker-ruby-on-rails-demo created
service/docker-ruby-on-rails-demo created
Make sure everything worked by listing your deployments.
$ kubectl get deployments
Your deployment should be listed as follows:
NAME READY UP-TO-DATE AVAILABLE AGE
docker-ruby-on-rails-demo 1/1 1 1 15s
This indicates all one of the pods you asked for in your YAML are up and running. Do the same check for your services.
$ kubectl get services
You should get output like the following.
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 23h
docker-ruby-on-rails-demo NodePort 10.99.128.230 <none> 3000:30001/TCP 75s
In addition to the default kubernetes service, you can see your docker-ruby-on-rails-demo service, accepting traffic on port 30001/TCP.
To create and migrate the database in a Ruby on Rails application running on Kubernetes, you need to follow these steps.
Get the Current Pods:
First, you need to identify the pods running in your Kubernetes cluster. Execute the following command to list the current pods in the default namespace:
# Get the current pods in the cluster in the namespace default
$ kubectl get pods
This command will display a list of all pods in the default namespace. Look for the pod with the prefix docker-ruby-on-rails-demo-. Here is an example output:
NAME READY STATUS RESTARTS AGE
docker-ruby-on-rails-demo-7cbddb5d6f-qh44l 1/1 Running 2 (22h ago) 9d
Execute the Migration Command:
Once you've identified the correct pod, use the kubectl exec command to run the database migration inside the pod.
$ kubectl exec -it docker-ruby-on-rails-demo-7cbddb5d6f-qh44l -- rails db:migrate RAILS_ENV=development
This command opens an interactive terminal session (-it) in the specified pod and runs the rails db:migrate command with the environment set to development (RAILS_ENV=development).
By following these steps, you ensure that your database is properly migrated within the Ruby on Rails application running in your Kubernetes cluster. This process helps maintain the integrity and consistency of your application's data structure during deployment and updates.
Open the browser and go to http://localhost:30001, you should see the ruby on rails application working.
Run the following command to tear down your application.
$ kubectl delete -f docker-ruby-on-rails-kubernetes.yaml
In this section, you learned how to use Docker Desktop to deploy your application to a fully-featured Kubernetes environment on your development machine.
Related information: